Real-time natural gas release forecasting by using physics-guided deep learning probability model Article Swipe
Jihao Shi
,
Weikang Xie
,
Xinyan Huang
,
Xiao Fu
,
Asif Usmani
,
Faisal Khan
,
Xiaokang Yin
,
Guoming Chen
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1016/j.jclepro.2022.133201
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1016/j.jclepro.2022.133201
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.jclepro.2022.133201
- OA Status
- green
- Cited By
- 79
- References
- 43
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4286264644
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4286264644Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1016/j.jclepro.2022.133201Digital Object Identifier
- Title
-
Real-time natural gas release forecasting by using physics-guided deep learning probability modelWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-07-20Full publication date if available
- Authors
-
Jihao Shi, Weikang Xie, Xinyan Huang, Xiao Fu, Asif Usmani, Faisal Khan, Xiaokang Yin, Guoming ChenList of authors in order
- Landing page
-
https://doi.org/10.1016/j.jclepro.2022.133201Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://hdl.handle.net/10397/108050Direct OA link when available
- Concepts
-
Bayesian inference, Natural gas, Monte Carlo method, Greenhouse gas, Benchmark (surveying), Computer science, Bayes' theorem, Fossil fuel, Bayesian probability, Environmental science, Econometrics, Artificial intelligence, Statistics, Engineering, Mathematics, Geography, Geodesy, Biology, Waste management, EcologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
79Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 14, 2024: 25, 2023: 25, 2022: 15Per-year citation counts (last 5 years)
- References (count)
-
43Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4286264644 |
|---|---|
| doi | https://doi.org/10.1016/j.jclepro.2022.133201 |
| ids.doi | https://doi.org/10.1016/j.jclepro.2022.133201 |
| ids.openalex | https://openalex.org/W4286264644 |
| fwci | 10.79556318 |
| type | article |
| title | Real-time natural gas release forecasting by using physics-guided deep learning probability model |
| biblio.issue | |
| biblio.volume | 368 |
| biblio.last_page | 133201 |
| biblio.first_page | 133201 |
| topics[0].id | https://openalex.org/T11588 |
| topics[0].field.id | https://openalex.org/fields/23 |
| topics[0].field.display_name | Environmental Science |
| topics[0].score | 0.9998000264167786 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2306 |
| topics[0].subfield.display_name | Global and Planetary Change |
| topics[0].display_name | Atmospheric and Environmental Gas Dynamics |
| topics[1].id | https://openalex.org/T11371 |
| topics[1].field.id | https://openalex.org/fields/23 |
| topics[1].field.display_name | Environmental Science |
| topics[1].score | 0.9944000244140625 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2305 |
| topics[1].subfield.display_name | Environmental Engineering |
| topics[1].display_name | Wind and Air Flow Studies |
| topics[2].id | https://openalex.org/T12120 |
| topics[2].field.id | https://openalex.org/fields/23 |
| topics[2].field.display_name | Environmental Science |
| topics[2].score | 0.9918000102043152 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2305 |
| topics[2].subfield.display_name | Environmental Engineering |
| topics[2].display_name | Air Quality Monitoring and Forecasting |
| is_xpac | False |
| apc_list.value | 4100 |
| apc_list.currency | USD |
| apc_list.value_usd | 4100 |
| apc_paid | |
| concepts[0].id | https://openalex.org/C160234255 |
| concepts[0].level | 3 |
| concepts[0].score | 0.6109545230865479 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q812535 |
| concepts[0].display_name | Bayesian inference |
| concepts[1].id | https://openalex.org/C59427239 |
| concepts[1].level | 2 |
| concepts[1].score | 0.538367509841919 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q40858 |
| concepts[1].display_name | Natural gas |
| concepts[2].id | https://openalex.org/C19499675 |
| concepts[2].level | 2 |
| concepts[2].score | 0.5239743590354919 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q232207 |
| concepts[2].display_name | Monte Carlo method |
| concepts[3].id | https://openalex.org/C47737302 |
| concepts[3].level | 2 |
| concepts[3].score | 0.495641827583313 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q167336 |
| concepts[3].display_name | Greenhouse gas |
| concepts[4].id | https://openalex.org/C185798385 |
| concepts[4].level | 2 |
| concepts[4].score | 0.47434818744659424 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q1161707 |
| concepts[4].display_name | Benchmark (surveying) |
| concepts[5].id | https://openalex.org/C41008148 |
| concepts[5].level | 0 |
| concepts[5].score | 0.4517393410205841 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[5].display_name | Computer science |
| concepts[6].id | https://openalex.org/C207201462 |
| concepts[6].level | 3 |
| concepts[6].score | 0.42740631103515625 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q182505 |
| concepts[6].display_name | Bayes' theorem |
| concepts[7].id | https://openalex.org/C68189081 |
| concepts[7].level | 2 |
| concepts[7].score | 0.4273143410682678 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q12748 |
| concepts[7].display_name | Fossil fuel |
| concepts[8].id | https://openalex.org/C107673813 |
| concepts[8].level | 2 |
| concepts[8].score | 0.4216485619544983 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q812534 |
| concepts[8].display_name | Bayesian probability |
| concepts[9].id | https://openalex.org/C39432304 |
| concepts[9].level | 0 |
| concepts[9].score | 0.39931926131248474 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q188847 |
| concepts[9].display_name | Environmental science |
| concepts[10].id | https://openalex.org/C149782125 |
| concepts[10].level | 1 |
| concepts[10].score | 0.34287357330322266 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q160039 |
| concepts[10].display_name | Econometrics |
| concepts[11].id | https://openalex.org/C154945302 |
| concepts[11].level | 1 |
| concepts[11].score | 0.283100962638855 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[11].display_name | Artificial intelligence |
| concepts[12].id | https://openalex.org/C105795698 |
| concepts[12].level | 1 |
| concepts[12].score | 0.25466567277908325 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q12483 |
| concepts[12].display_name | Statistics |
| concepts[13].id | https://openalex.org/C127413603 |
| concepts[13].level | 0 |
| concepts[13].score | 0.1951529085636139 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q11023 |
| concepts[13].display_name | Engineering |
| concepts[14].id | https://openalex.org/C33923547 |
| concepts[14].level | 0 |
| concepts[14].score | 0.18507987260818481 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[14].display_name | Mathematics |
| concepts[15].id | https://openalex.org/C205649164 |
| concepts[15].level | 0 |
| concepts[15].score | 0.0 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q1071 |
| concepts[15].display_name | Geography |
| concepts[16].id | https://openalex.org/C13280743 |
| concepts[16].level | 1 |
| concepts[16].score | 0.0 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q131089 |
| concepts[16].display_name | Geodesy |
| concepts[17].id | https://openalex.org/C86803240 |
| concepts[17].level | 0 |
| concepts[17].score | 0.0 |
| concepts[17].wikidata | https://www.wikidata.org/wiki/Q420 |
| concepts[17].display_name | Biology |
| concepts[18].id | https://openalex.org/C548081761 |
| concepts[18].level | 1 |
| concepts[18].score | 0.0 |
| concepts[18].wikidata | https://www.wikidata.org/wiki/Q180388 |
| concepts[18].display_name | Waste management |
| concepts[19].id | https://openalex.org/C18903297 |
| concepts[19].level | 1 |
| concepts[19].score | 0.0 |
| concepts[19].wikidata | https://www.wikidata.org/wiki/Q7150 |
| concepts[19].display_name | Ecology |
| keywords[0].id | https://openalex.org/keywords/bayesian-inference |
| keywords[0].score | 0.6109545230865479 |
| keywords[0].display_name | Bayesian inference |
| keywords[1].id | https://openalex.org/keywords/natural-gas |
| keywords[1].score | 0.538367509841919 |
| keywords[1].display_name | Natural gas |
| keywords[2].id | https://openalex.org/keywords/monte-carlo-method |
| keywords[2].score | 0.5239743590354919 |
| keywords[2].display_name | Monte Carlo method |
| keywords[3].id | https://openalex.org/keywords/greenhouse-gas |
| keywords[3].score | 0.495641827583313 |
| keywords[3].display_name | Greenhouse gas |
| keywords[4].id | https://openalex.org/keywords/benchmark |
| keywords[4].score | 0.47434818744659424 |
| keywords[4].display_name | Benchmark (surveying) |
| keywords[5].id | https://openalex.org/keywords/computer-science |
| keywords[5].score | 0.4517393410205841 |
| keywords[5].display_name | Computer science |
| keywords[6].id | https://openalex.org/keywords/bayes-theorem |
| keywords[6].score | 0.42740631103515625 |
| keywords[6].display_name | Bayes' theorem |
| keywords[7].id | https://openalex.org/keywords/fossil-fuel |
| keywords[7].score | 0.4273143410682678 |
| keywords[7].display_name | Fossil fuel |
| keywords[8].id | https://openalex.org/keywords/bayesian-probability |
| keywords[8].score | 0.4216485619544983 |
| keywords[8].display_name | Bayesian probability |
| keywords[9].id | https://openalex.org/keywords/environmental-science |
| keywords[9].score | 0.39931926131248474 |
| keywords[9].display_name | Environmental science |
| keywords[10].id | https://openalex.org/keywords/econometrics |
| keywords[10].score | 0.34287357330322266 |
| keywords[10].display_name | Econometrics |
| keywords[11].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[11].score | 0.283100962638855 |
| keywords[11].display_name | Artificial intelligence |
| keywords[12].id | https://openalex.org/keywords/statistics |
| keywords[12].score | 0.25466567277908325 |
| keywords[12].display_name | Statistics |
| keywords[13].id | https://openalex.org/keywords/engineering |
| keywords[13].score | 0.1951529085636139 |
| keywords[13].display_name | Engineering |
| keywords[14].id | https://openalex.org/keywords/mathematics |
| keywords[14].score | 0.18507987260818481 |
| keywords[14].display_name | Mathematics |
| language | en |
| locations[0].id | doi:10.1016/j.jclepro.2022.133201 |
| locations[0].is_oa | False |
| locations[0].source.id | https://openalex.org/S58516903 |
| locations[0].source.issn | 0959-6526, 1879-1786 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | False |
| locations[0].source.issn_l | 0959-6526 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | Journal of Cleaner Production |
| locations[0].source.host_organization | https://openalex.org/P4310320990 |
| locations[0].source.host_organization_name | Elsevier BV |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310320990 |
| locations[0].source.host_organization_lineage_names | Elsevier BV |
| locations[0].license | |
| locations[0].pdf_url | |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Journal of Cleaner Production |
| locations[0].landing_page_url | https://doi.org/10.1016/j.jclepro.2022.133201 |
| locations[1].id | pmh:oai:ira.lib.polyu.edu.hk:10397/108050 |
| locations[1].is_oa | True |
| locations[1].source.id | https://openalex.org/S4306400205 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | PolyU Institutional Research Archive (Hong Kong Polytechnic University) |
| locations[1].source.host_organization | https://openalex.org/I14243506 |
| locations[1].source.host_organization_name | Hong Kong Polytechnic University |
| locations[1].source.host_organization_lineage | https://openalex.org/I14243506 |
| locations[1].license | cc-by-nc-nd |
| locations[1].pdf_url | |
| locations[1].version | submittedVersion |
| locations[1].raw_type | Journal/Magazine Article |
| locations[1].license_id | https://openalex.org/licenses/cc-by-nc-nd |
| locations[1].is_accepted | False |
| locations[1].is_published | False |
| locations[1].raw_source_name | |
| locations[1].landing_page_url | http://hdl.handle.net/10397/108050 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5003912896 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-2639-8972 |
| authorships[0].author.display_name | Jihao Shi |
| authorships[0].countries | CN |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I4210162190 |
| authorships[0].affiliations[0].raw_affiliation_string | Centre for Offshore Engineering and Safety Technology, China University of Petroleum, Qingdao, 266580, China |
| authorships[0].institutions[0].id | https://openalex.org/I4210162190 |
| authorships[0].institutions[0].ror | https://ror.org/05gbn2817 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I4210162190 |
| authorships[0].institutions[0].country_code | CN |
| authorships[0].institutions[0].display_name | China University of Petroleum, East China |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Jihao Shi |
| authorships[0].is_corresponding | True |
| authorships[0].raw_affiliation_strings | Centre for Offshore Engineering and Safety Technology, China University of Petroleum, Qingdao, 266580, China |
| authorships[1].author.id | https://openalex.org/A5091110174 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-6395-7075 |
| authorships[1].author.display_name | Weikang Xie |
| authorships[1].countries | CN |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I4210162190 |
| authorships[1].affiliations[0].raw_affiliation_string | Centre for Offshore Engineering and Safety Technology, China University of Petroleum, Qingdao, 266580, China |
| authorships[1].institutions[0].id | https://openalex.org/I4210162190 |
| authorships[1].institutions[0].ror | https://ror.org/05gbn2817 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I4210162190 |
| authorships[1].institutions[0].country_code | CN |
| authorships[1].institutions[0].display_name | China University of Petroleum, East China |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Weikang Xie |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Centre for Offshore Engineering and Safety Technology, China University of Petroleum, Qingdao, 266580, China |
| authorships[2].author.id | https://openalex.org/A5080760430 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-0584-8452 |
| authorships[2].author.display_name | Xinyan Huang |
| authorships[2].countries | HK |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I14243506 |
| authorships[2].affiliations[0].raw_affiliation_string | Department of Building Services Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong, China |
| authorships[2].institutions[0].id | https://openalex.org/I14243506 |
| authorships[2].institutions[0].ror | https://ror.org/0030zas98 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I14243506 |
| authorships[2].institutions[0].country_code | HK |
| authorships[2].institutions[0].display_name | Hong Kong Polytechnic University |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Xinyan Huang |
| authorships[2].is_corresponding | True |
| authorships[2].raw_affiliation_strings | Department of Building Services Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong, China |
| authorships[3].author.id | https://openalex.org/A5100602818 |
| authorships[3].author.orcid | https://orcid.org/0000-0002-5082-4070 |
| authorships[3].author.display_name | Xiao Fu |
| authorships[3].countries | HK |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I14243506 |
| authorships[3].affiliations[0].raw_affiliation_string | Department of Building Services Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong, China |
| authorships[3].institutions[0].id | https://openalex.org/I14243506 |
| authorships[3].institutions[0].ror | https://ror.org/0030zas98 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I14243506 |
| authorships[3].institutions[0].country_code | HK |
| authorships[3].institutions[0].display_name | Hong Kong Polytechnic University |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Fu Xiao |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Department of Building Services Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong, China |
| authorships[4].author.id | https://openalex.org/A5034098025 |
| authorships[4].author.orcid | https://orcid.org/0000-0003-2454-5737 |
| authorships[4].author.display_name | Asif Usmani |
| authorships[4].countries | HK |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I14243506 |
| authorships[4].affiliations[0].raw_affiliation_string | Department of Building Services Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong, China |
| authorships[4].institutions[0].id | https://openalex.org/I14243506 |
| authorships[4].institutions[0].ror | https://ror.org/0030zas98 |
| authorships[4].institutions[0].type | education |
| authorships[4].institutions[0].lineage | https://openalex.org/I14243506 |
| authorships[4].institutions[0].country_code | HK |
| authorships[4].institutions[0].display_name | Hong Kong Polytechnic University |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Asif Sohail Usmani |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | Department of Building Services Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong, China |
| authorships[5].author.id | https://openalex.org/A5062057672 |
| authorships[5].author.orcid | https://orcid.org/0000-0002-8391-6203 |
| authorships[5].author.display_name | Faisal Khan |
| authorships[5].countries | US |
| authorships[5].affiliations[0].institution_ids | https://openalex.org/I4210129728, https://openalex.org/I91045830 |
| authorships[5].affiliations[0].raw_affiliation_string | Mary Kay O'Connor Process Safety Center (MKOPSC), Artie McFerrin Department of Chemical Engineering, Texas A&M University, College Station TX, 77843-3122, USA |
| authorships[5].institutions[0].id | https://openalex.org/I4210129728 |
| authorships[5].institutions[0].ror | https://ror.org/03qxge436 |
| authorships[5].institutions[0].type | company |
| authorships[5].institutions[0].lineage | https://openalex.org/I4210129728 |
| authorships[5].institutions[0].country_code | US |
| authorships[5].institutions[0].display_name | Mary Kay (United States) |
| authorships[5].institutions[1].id | https://openalex.org/I91045830 |
| authorships[5].institutions[1].ror | https://ror.org/01f5ytq51 |
| authorships[5].institutions[1].type | education |
| authorships[5].institutions[1].lineage | https://openalex.org/I91045830 |
| authorships[5].institutions[1].country_code | US |
| authorships[5].institutions[1].display_name | Texas A&M University |
| authorships[5].author_position | middle |
| authorships[5].raw_author_name | Faisal Khan |
| authorships[5].is_corresponding | False |
| authorships[5].raw_affiliation_strings | Mary Kay O'Connor Process Safety Center (MKOPSC), Artie McFerrin Department of Chemical Engineering, Texas A&M University, College Station TX, 77843-3122, USA |
| authorships[6].author.id | https://openalex.org/A5086080678 |
| authorships[6].author.orcid | https://orcid.org/0000-0003-3247-8730 |
| authorships[6].author.display_name | Xiaokang Yin |
| authorships[6].countries | CN |
| authorships[6].affiliations[0].institution_ids | https://openalex.org/I4210162190 |
| authorships[6].affiliations[0].raw_affiliation_string | Centre for Offshore Engineering and Safety Technology, China University of Petroleum, Qingdao, 266580, China |
| authorships[6].institutions[0].id | https://openalex.org/I4210162190 |
| authorships[6].institutions[0].ror | https://ror.org/05gbn2817 |
| authorships[6].institutions[0].type | education |
| authorships[6].institutions[0].lineage | https://openalex.org/I4210162190 |
| authorships[6].institutions[0].country_code | CN |
| authorships[6].institutions[0].display_name | China University of Petroleum, East China |
| authorships[6].author_position | middle |
| authorships[6].raw_author_name | Xiaokang Yin |
| authorships[6].is_corresponding | False |
| authorships[6].raw_affiliation_strings | Centre for Offshore Engineering and Safety Technology, China University of Petroleum, Qingdao, 266580, China |
| authorships[7].author.id | https://openalex.org/A5101407564 |
| authorships[7].author.orcid | https://orcid.org/0000-0002-2339-7368 |
| authorships[7].author.display_name | Guoming Chen |
| authorships[7].countries | CN |
| authorships[7].affiliations[0].institution_ids | https://openalex.org/I4210162190 |
| authorships[7].affiliations[0].raw_affiliation_string | Centre for Offshore Engineering and Safety Technology, China University of Petroleum, Qingdao, 266580, China |
| authorships[7].institutions[0].id | https://openalex.org/I4210162190 |
| authorships[7].institutions[0].ror | https://ror.org/05gbn2817 |
| authorships[7].institutions[0].type | education |
| authorships[7].institutions[0].lineage | https://openalex.org/I4210162190 |
| authorships[7].institutions[0].country_code | CN |
| authorships[7].institutions[0].display_name | China University of Petroleum, East China |
| authorships[7].author_position | last |
| authorships[7].raw_author_name | Guoming Chen |
| authorships[7].is_corresponding | False |
| authorships[7].raw_affiliation_strings | Centre for Offshore Engineering and Safety Technology, China University of Petroleum, Qingdao, 266580, China |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | http://hdl.handle.net/10397/108050 |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Real-time natural gas release forecasting by using physics-guided deep learning probability model |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T11588 |
| primary_topic.field.id | https://openalex.org/fields/23 |
| primary_topic.field.display_name | Environmental Science |
| primary_topic.score | 0.9998000264167786 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2306 |
| primary_topic.subfield.display_name | Global and Planetary Change |
| primary_topic.display_name | Atmospheric and Environmental Gas Dynamics |
| related_works | https://openalex.org/W2474431918, https://openalex.org/W2898107337, https://openalex.org/W2078072966, https://openalex.org/W4383503214, https://openalex.org/W38287360, https://openalex.org/W2954886250, https://openalex.org/W4200539072, https://openalex.org/W2389199865, https://openalex.org/W2125751271, https://openalex.org/W3013612038 |
| cited_by_count | 79 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 14 |
| counts_by_year[1].year | 2024 |
| counts_by_year[1].cited_by_count | 25 |
| counts_by_year[2].year | 2023 |
| counts_by_year[2].cited_by_count | 25 |
| counts_by_year[3].year | 2022 |
| counts_by_year[3].cited_by_count | 15 |
| locations_count | 2 |
| best_oa_location.id | pmh:oai:ira.lib.polyu.edu.hk:10397/108050 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4306400205 |
| best_oa_location.source.issn | |
| best_oa_location.source.type | repository |
| best_oa_location.source.is_oa | False |
| best_oa_location.source.issn_l | |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | PolyU Institutional Research Archive (Hong Kong Polytechnic University) |
| best_oa_location.source.host_organization | https://openalex.org/I14243506 |
| best_oa_location.source.host_organization_name | Hong Kong Polytechnic University |
| best_oa_location.source.host_organization_lineage | https://openalex.org/I14243506 |
| best_oa_location.license | cc-by-nc-nd |
| best_oa_location.pdf_url | |
| best_oa_location.version | submittedVersion |
| best_oa_location.raw_type | Journal/Magazine Article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by-nc-nd |
| best_oa_location.is_accepted | False |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | http://hdl.handle.net/10397/108050 |
| primary_location.id | doi:10.1016/j.jclepro.2022.133201 |
| primary_location.is_oa | False |
| primary_location.source.id | https://openalex.org/S58516903 |
| primary_location.source.issn | 0959-6526, 1879-1786 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | False |
| primary_location.source.issn_l | 0959-6526 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | Journal of Cleaner Production |
| primary_location.source.host_organization | https://openalex.org/P4310320990 |
| primary_location.source.host_organization_name | Elsevier BV |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310320990 |
| primary_location.source.host_organization_lineage_names | Elsevier BV |
| primary_location.license | |
| primary_location.pdf_url | |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Journal of Cleaner Production |
| primary_location.landing_page_url | https://doi.org/10.1016/j.jclepro.2022.133201 |
| publication_date | 2022-07-20 |
| publication_year | 2022 |
| referenced_works | https://openalex.org/W3023044364, https://openalex.org/W2135194391, https://openalex.org/W3021643653, https://openalex.org/W2225156818, https://openalex.org/W2299576847, https://openalex.org/W3099433164, https://openalex.org/W2793121129, https://openalex.org/W3177036778, https://openalex.org/W6799620744, https://openalex.org/W3016683709, https://openalex.org/W3092743582, https://openalex.org/W2998188743, https://openalex.org/W3158564889, https://openalex.org/W4207004978, https://openalex.org/W2793663825, https://openalex.org/W3165958471, https://openalex.org/W2995526714, https://openalex.org/W2975706726, https://openalex.org/W2564634094, https://openalex.org/W3112875078, https://openalex.org/W2771917830, https://openalex.org/W3005951733, https://openalex.org/W3005533248, https://openalex.org/W2898214691, https://openalex.org/W3163606397, https://openalex.org/W2988600867, https://openalex.org/W6772365229, https://openalex.org/W6799043282, https://openalex.org/W3034022426, https://openalex.org/W3121893359, https://openalex.org/W2921061637, https://openalex.org/W3131163716, https://openalex.org/W6776853817, https://openalex.org/W3206835548, https://openalex.org/W3046678016, https://openalex.org/W4302369407, https://openalex.org/W582134693, https://openalex.org/W3019335541, https://openalex.org/W3185425162, https://openalex.org/W3193705985, https://openalex.org/W2997184146, https://openalex.org/W2594639291, https://openalex.org/W1567512734 |
| referenced_works_count | 43 |
| abstract_inverted_index | |
| cited_by_percentile_year.max | 100 |
| cited_by_percentile_year.min | 99 |
| corresponding_author_ids | https://openalex.org/A5003912896, https://openalex.org/A5080760430 |
| countries_distinct_count | 3 |
| institutions_distinct_count | 8 |
| corresponding_institution_ids | https://openalex.org/I14243506, https://openalex.org/I4210162190 |
| citation_normalized_percentile.value | 0.98803313 |
| citation_normalized_percentile.is_in_top_1_percent | True |
| citation_normalized_percentile.is_in_top_10_percent | True |