Research on Key Index System and Investment Scale Calculation Model of Power Grid Investment Article Swipe
Ying Du
,
Tiannan Ma
,
Mingyong Wan
,
Jinyong Chen
,
Guangxiu Yu
,
Yaling Sai
,
Guangchuan Wu
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1088/1755-1315/714/4/042036
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1088/1755-1315/714/4/042036
In order to avoid invalid investment and improve the investment efficiency of power grid companies, this paper constructed the power grid investment index system. Then extracted the key indicators by using the grey correlation analysis method. Finally, the regression analysis based on the multi scenario theory is used to predict the investment scale of power grid.
Related Topics
Concepts
Investment (military)
Index (typography)
Grid
Key (lock)
Scale (ratio)
Power grid
Econometrics
Regression analysis
Return on investment
Power (physics)
Computer science
Environmental economics
Business
Reliability engineering
Economics
Microeconomics
Mathematics
Engineering
Computer security
Geography
Political science
Law
Politics
World Wide Web
Production (economics)
Quantum mechanics
Machine learning
Physics
Cartography
Geometry
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1088/1755-1315/714/4/042036
- OA Status
- diamond
- Cited By
- 3
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3153767181
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W3153767181Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1088/1755-1315/714/4/042036Digital Object Identifier
- Title
-
Research on Key Index System and Investment Scale Calculation Model of Power Grid InvestmentWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-03-01Full publication date if available
- Authors
-
Ying Du, Tiannan Ma, Mingyong Wan, Jinyong Chen, Guangxiu Yu, Yaling Sai, Guangchuan WuList of authors in order
- Landing page
-
https://doi.org/10.1088/1755-1315/714/4/042036Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1088/1755-1315/714/4/042036Direct OA link when available
- Concepts
-
Investment (military), Index (typography), Grid, Key (lock), Scale (ratio), Power grid, Econometrics, Regression analysis, Return on investment, Power (physics), Computer science, Environmental economics, Business, Reliability engineering, Economics, Microeconomics, Mathematics, Engineering, Computer security, Geography, Political science, Law, Politics, World Wide Web, Production (economics), Quantum mechanics, Machine learning, Physics, Cartography, GeometryTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
3Total citation count in OpenAlex
- Citations by year (recent)
-
2023: 1, 2022: 1, 2021: 1Per-year citation counts (last 5 years)
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W3153767181 |
|---|---|
| doi | https://doi.org/10.1088/1755-1315/714/4/042036 |
| ids.doi | https://doi.org/10.1088/1755-1315/714/4/042036 |
| ids.mag | 3153767181 |
| ids.openalex | https://openalex.org/W3153767181 |
| fwci | 1.31271487 |
| type | article |
| title | Research on Key Index System and Investment Scale Calculation Model of Power Grid Investment |
| biblio.issue | 4 |
| biblio.volume | 714 |
| biblio.last_page | 042036 |
| biblio.first_page | 042036 |
| topics[0].id | https://openalex.org/T11052 |
| topics[0].field.id | https://openalex.org/fields/22 |
| topics[0].field.display_name | Engineering |
| topics[0].score | 0.7239999771118164 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2208 |
| topics[0].subfield.display_name | Electrical and Electronic Engineering |
| topics[0].display_name | Energy Load and Power Forecasting |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C27548731 |
| concepts[0].level | 3 |
| concepts[0].score | 0.713108241558075 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q88272 |
| concepts[0].display_name | Investment (military) |
| concepts[1].id | https://openalex.org/C2777382242 |
| concepts[1].level | 2 |
| concepts[1].score | 0.6255167126655579 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q6017816 |
| concepts[1].display_name | Index (typography) |
| concepts[2].id | https://openalex.org/C187691185 |
| concepts[2].level | 2 |
| concepts[2].score | 0.5900485515594482 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q2020720 |
| concepts[2].display_name | Grid |
| concepts[3].id | https://openalex.org/C26517878 |
| concepts[3].level | 2 |
| concepts[3].score | 0.5756534934043884 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q228039 |
| concepts[3].display_name | Key (lock) |
| concepts[4].id | https://openalex.org/C2778755073 |
| concepts[4].level | 2 |
| concepts[4].score | 0.5285719037055969 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q10858537 |
| concepts[4].display_name | Scale (ratio) |
| concepts[5].id | https://openalex.org/C2983254600 |
| concepts[5].level | 3 |
| concepts[5].score | 0.49325770139694214 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q1096907 |
| concepts[5].display_name | Power grid |
| concepts[6].id | https://openalex.org/C149782125 |
| concepts[6].level | 1 |
| concepts[6].score | 0.4481288492679596 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q160039 |
| concepts[6].display_name | Econometrics |
| concepts[7].id | https://openalex.org/C152877465 |
| concepts[7].level | 2 |
| concepts[7].score | 0.4384080767631531 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q208042 |
| concepts[7].display_name | Regression analysis |
| concepts[8].id | https://openalex.org/C169549615 |
| concepts[8].level | 3 |
| concepts[8].score | 0.4142642021179199 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q939134 |
| concepts[8].display_name | Return on investment |
| concepts[9].id | https://openalex.org/C163258240 |
| concepts[9].level | 2 |
| concepts[9].score | 0.4055303633213043 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q25342 |
| concepts[9].display_name | Power (physics) |
| concepts[10].id | https://openalex.org/C41008148 |
| concepts[10].level | 0 |
| concepts[10].score | 0.40209540724754333 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[10].display_name | Computer science |
| concepts[11].id | https://openalex.org/C134560507 |
| concepts[11].level | 1 |
| concepts[11].score | 0.3743554949760437 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q753291 |
| concepts[11].display_name | Environmental economics |
| concepts[12].id | https://openalex.org/C144133560 |
| concepts[12].level | 0 |
| concepts[12].score | 0.3726102113723755 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q4830453 |
| concepts[12].display_name | Business |
| concepts[13].id | https://openalex.org/C200601418 |
| concepts[13].level | 1 |
| concepts[13].score | 0.33552712202072144 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q2193887 |
| concepts[13].display_name | Reliability engineering |
| concepts[14].id | https://openalex.org/C162324750 |
| concepts[14].level | 0 |
| concepts[14].score | 0.28747785091400146 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q8134 |
| concepts[14].display_name | Economics |
| concepts[15].id | https://openalex.org/C175444787 |
| concepts[15].level | 1 |
| concepts[15].score | 0.24109601974487305 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q39072 |
| concepts[15].display_name | Microeconomics |
| concepts[16].id | https://openalex.org/C33923547 |
| concepts[16].level | 0 |
| concepts[16].score | 0.19358929991722107 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[16].display_name | Mathematics |
| concepts[17].id | https://openalex.org/C127413603 |
| concepts[17].level | 0 |
| concepts[17].score | 0.19020819664001465 |
| concepts[17].wikidata | https://www.wikidata.org/wiki/Q11023 |
| concepts[17].display_name | Engineering |
| concepts[18].id | https://openalex.org/C38652104 |
| concepts[18].level | 1 |
| concepts[18].score | 0.07177305221557617 |
| concepts[18].wikidata | https://www.wikidata.org/wiki/Q3510521 |
| concepts[18].display_name | Computer security |
| concepts[19].id | https://openalex.org/C205649164 |
| concepts[19].level | 0 |
| concepts[19].score | 0.0631108283996582 |
| concepts[19].wikidata | https://www.wikidata.org/wiki/Q1071 |
| concepts[19].display_name | Geography |
| concepts[20].id | https://openalex.org/C17744445 |
| concepts[20].level | 0 |
| concepts[20].score | 0.058588653802871704 |
| concepts[20].wikidata | https://www.wikidata.org/wiki/Q36442 |
| concepts[20].display_name | Political science |
| concepts[21].id | https://openalex.org/C199539241 |
| concepts[21].level | 1 |
| concepts[21].score | 0.0 |
| concepts[21].wikidata | https://www.wikidata.org/wiki/Q7748 |
| concepts[21].display_name | Law |
| concepts[22].id | https://openalex.org/C94625758 |
| concepts[22].level | 2 |
| concepts[22].score | 0.0 |
| concepts[22].wikidata | https://www.wikidata.org/wiki/Q7163 |
| concepts[22].display_name | Politics |
| concepts[23].id | https://openalex.org/C136764020 |
| concepts[23].level | 1 |
| concepts[23].score | 0.0 |
| concepts[23].wikidata | https://www.wikidata.org/wiki/Q466 |
| concepts[23].display_name | World Wide Web |
| concepts[24].id | https://openalex.org/C2778348673 |
| concepts[24].level | 2 |
| concepts[24].score | 0.0 |
| concepts[24].wikidata | https://www.wikidata.org/wiki/Q739302 |
| concepts[24].display_name | Production (economics) |
| concepts[25].id | https://openalex.org/C62520636 |
| concepts[25].level | 1 |
| concepts[25].score | 0.0 |
| concepts[25].wikidata | https://www.wikidata.org/wiki/Q944 |
| concepts[25].display_name | Quantum mechanics |
| concepts[26].id | https://openalex.org/C119857082 |
| concepts[26].level | 1 |
| concepts[26].score | 0.0 |
| concepts[26].wikidata | https://www.wikidata.org/wiki/Q2539 |
| concepts[26].display_name | Machine learning |
| concepts[27].id | https://openalex.org/C121332964 |
| concepts[27].level | 0 |
| concepts[27].score | 0.0 |
| concepts[27].wikidata | https://www.wikidata.org/wiki/Q413 |
| concepts[27].display_name | Physics |
| concepts[28].id | https://openalex.org/C58640448 |
| concepts[28].level | 1 |
| concepts[28].score | 0.0 |
| concepts[28].wikidata | https://www.wikidata.org/wiki/Q42515 |
| concepts[28].display_name | Cartography |
| concepts[29].id | https://openalex.org/C2524010 |
| concepts[29].level | 1 |
| concepts[29].score | 0.0 |
| concepts[29].wikidata | https://www.wikidata.org/wiki/Q8087 |
| concepts[29].display_name | Geometry |
| keywords[0].id | https://openalex.org/keywords/investment |
| keywords[0].score | 0.713108241558075 |
| keywords[0].display_name | Investment (military) |
| keywords[1].id | https://openalex.org/keywords/index |
| keywords[1].score | 0.6255167126655579 |
| keywords[1].display_name | Index (typography) |
| keywords[2].id | https://openalex.org/keywords/grid |
| keywords[2].score | 0.5900485515594482 |
| keywords[2].display_name | Grid |
| keywords[3].id | https://openalex.org/keywords/key |
| keywords[3].score | 0.5756534934043884 |
| keywords[3].display_name | Key (lock) |
| keywords[4].id | https://openalex.org/keywords/scale |
| keywords[4].score | 0.5285719037055969 |
| keywords[4].display_name | Scale (ratio) |
| keywords[5].id | https://openalex.org/keywords/power-grid |
| keywords[5].score | 0.49325770139694214 |
| keywords[5].display_name | Power grid |
| keywords[6].id | https://openalex.org/keywords/econometrics |
| keywords[6].score | 0.4481288492679596 |
| keywords[6].display_name | Econometrics |
| keywords[7].id | https://openalex.org/keywords/regression-analysis |
| keywords[7].score | 0.4384080767631531 |
| keywords[7].display_name | Regression analysis |
| keywords[8].id | https://openalex.org/keywords/return-on-investment |
| keywords[8].score | 0.4142642021179199 |
| keywords[8].display_name | Return on investment |
| keywords[9].id | https://openalex.org/keywords/power |
| keywords[9].score | 0.4055303633213043 |
| keywords[9].display_name | Power (physics) |
| keywords[10].id | https://openalex.org/keywords/computer-science |
| keywords[10].score | 0.40209540724754333 |
| keywords[10].display_name | Computer science |
| keywords[11].id | https://openalex.org/keywords/environmental-economics |
| keywords[11].score | 0.3743554949760437 |
| keywords[11].display_name | Environmental economics |
| keywords[12].id | https://openalex.org/keywords/business |
| keywords[12].score | 0.3726102113723755 |
| keywords[12].display_name | Business |
| keywords[13].id | https://openalex.org/keywords/reliability-engineering |
| keywords[13].score | 0.33552712202072144 |
| keywords[13].display_name | Reliability engineering |
| keywords[14].id | https://openalex.org/keywords/economics |
| keywords[14].score | 0.28747785091400146 |
| keywords[14].display_name | Economics |
| keywords[15].id | https://openalex.org/keywords/microeconomics |
| keywords[15].score | 0.24109601974487305 |
| keywords[15].display_name | Microeconomics |
| keywords[16].id | https://openalex.org/keywords/mathematics |
| keywords[16].score | 0.19358929991722107 |
| keywords[16].display_name | Mathematics |
| keywords[17].id | https://openalex.org/keywords/engineering |
| keywords[17].score | 0.19020819664001465 |
| keywords[17].display_name | Engineering |
| keywords[18].id | https://openalex.org/keywords/computer-security |
| keywords[18].score | 0.07177305221557617 |
| keywords[18].display_name | Computer security |
| keywords[19].id | https://openalex.org/keywords/geography |
| keywords[19].score | 0.0631108283996582 |
| keywords[19].display_name | Geography |
| keywords[20].id | https://openalex.org/keywords/political-science |
| keywords[20].score | 0.058588653802871704 |
| keywords[20].display_name | Political science |
| language | en |
| locations[0].id | doi:10.1088/1755-1315/714/4/042036 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4210195883 |
| locations[0].source.issn | 1755-1307, 1755-1315 |
| locations[0].source.type | conference |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 1755-1307 |
| locations[0].source.is_core | False |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | IOP Conference Series Earth and Environmental Science |
| locations[0].source.host_organization | https://openalex.org/P4310320083 |
| locations[0].source.host_organization_name | IOP Publishing |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310320083, https://openalex.org/P4310311669 |
| locations[0].source.host_organization_lineage_names | IOP Publishing, Institute of Physics |
| locations[0].license | cc-by |
| locations[0].pdf_url | |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | IOP Conference Series: Earth and Environmental Science |
| locations[0].landing_page_url | https://doi.org/10.1088/1755-1315/714/4/042036 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5040786809 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-7119-8996 |
| authorships[0].author.display_name | Ying Du |
| authorships[0].affiliations[0].raw_affiliation_string | State Grid Sichuan Economic Research Institute, Chengdu Sichuan, China |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Ying Du |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | State Grid Sichuan Economic Research Institute, Chengdu Sichuan, China |
| authorships[1].author.id | https://openalex.org/A5055461556 |
| authorships[1].author.orcid | |
| authorships[1].author.display_name | Tiannan Ma |
| authorships[1].affiliations[0].raw_affiliation_string | State Grid Sichuan Economic Research Institute, Chengdu Sichuan, China |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Tiannan Ma |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | State Grid Sichuan Economic Research Institute, Chengdu Sichuan, China |
| authorships[2].author.id | https://openalex.org/A5017187727 |
| authorships[2].author.orcid | |
| authorships[2].author.display_name | Mingyong Wan |
| authorships[2].affiliations[0].raw_affiliation_string | State Grid Sichuan Economic Research Institute, Chengdu Sichuan, China |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Mingyong Wan |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | State Grid Sichuan Economic Research Institute, Chengdu Sichuan, China |
| authorships[3].author.id | https://openalex.org/A5101571279 |
| authorships[3].author.orcid | https://orcid.org/0000-0002-4275-4690 |
| authorships[3].author.display_name | Jinyong Chen |
| authorships[3].affiliations[0].raw_affiliation_string | State Grid Sichuan Economic Research Institute, Chengdu Sichuan, China |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Jinyong Chen |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | State Grid Sichuan Economic Research Institute, Chengdu Sichuan, China |
| authorships[4].author.id | https://openalex.org/A5088757369 |
| authorships[4].author.orcid | |
| authorships[4].author.display_name | Guangxiu Yu |
| authorships[4].affiliations[0].raw_affiliation_string | State Grid Sichuan Economic Research Institute, Chengdu Sichuan, China |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Guangxiu Yu |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | State Grid Sichuan Economic Research Institute, Chengdu Sichuan, China |
| authorships[5].author.id | https://openalex.org/A5052320193 |
| authorships[5].author.orcid | |
| authorships[5].author.display_name | Yaling Sai |
| authorships[5].affiliations[0].raw_affiliation_string | State Grid Sichuan Economic Research Institute, Chengdu Sichuan, China |
| authorships[5].author_position | middle |
| authorships[5].raw_author_name | Yaling Sai |
| authorships[5].is_corresponding | False |
| authorships[5].raw_affiliation_strings | State Grid Sichuan Economic Research Institute, Chengdu Sichuan, China |
| authorships[6].author.id | https://openalex.org/A5078687957 |
| authorships[6].author.orcid | |
| authorships[6].author.display_name | Guangchuan Wu |
| authorships[6].countries | CN |
| authorships[6].affiliations[0].institution_ids | https://openalex.org/I153473198 |
| authorships[6].affiliations[0].raw_affiliation_string | School of North China Electric Power University, Baoding Hebei, China |
| authorships[6].institutions[0].id | https://openalex.org/I153473198 |
| authorships[6].institutions[0].ror | https://ror.org/04qr5t414 |
| authorships[6].institutions[0].type | education |
| authorships[6].institutions[0].lineage | https://openalex.org/I153473198 |
| authorships[6].institutions[0].country_code | CN |
| authorships[6].institutions[0].display_name | North China Electric Power University |
| authorships[6].author_position | last |
| authorships[6].raw_author_name | Guangchuan Wu |
| authorships[6].is_corresponding | False |
| authorships[6].raw_affiliation_strings | School of North China Electric Power University, Baoding Hebei, China |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://doi.org/10.1088/1755-1315/714/4/042036 |
| open_access.oa_status | diamond |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Research on Key Index System and Investment Scale Calculation Model of Power Grid Investment |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T11052 |
| primary_topic.field.id | https://openalex.org/fields/22 |
| primary_topic.field.display_name | Engineering |
| primary_topic.score | 0.7239999771118164 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2208 |
| primary_topic.subfield.display_name | Electrical and Electronic Engineering |
| primary_topic.display_name | Energy Load and Power Forecasting |
| related_works | https://openalex.org/W2494854235, https://openalex.org/W2017388560, https://openalex.org/W60765711, https://openalex.org/W2374124984, https://openalex.org/W1554005152, https://openalex.org/W1991990882, https://openalex.org/W951292986, https://openalex.org/W2353505767, https://openalex.org/W2083872383, https://openalex.org/W2009526258 |
| cited_by_count | 3 |
| counts_by_year[0].year | 2023 |
| counts_by_year[0].cited_by_count | 1 |
| counts_by_year[1].year | 2022 |
| counts_by_year[1].cited_by_count | 1 |
| counts_by_year[2].year | 2021 |
| counts_by_year[2].cited_by_count | 1 |
| locations_count | 1 |
| best_oa_location.id | doi:10.1088/1755-1315/714/4/042036 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4210195883 |
| best_oa_location.source.issn | 1755-1307, 1755-1315 |
| best_oa_location.source.type | conference |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 1755-1307 |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | IOP Conference Series Earth and Environmental Science |
| best_oa_location.source.host_organization | https://openalex.org/P4310320083 |
| best_oa_location.source.host_organization_name | IOP Publishing |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310320083, https://openalex.org/P4310311669 |
| best_oa_location.source.host_organization_lineage_names | IOP Publishing, Institute of Physics |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | IOP Conference Series: Earth and Environmental Science |
| best_oa_location.landing_page_url | https://doi.org/10.1088/1755-1315/714/4/042036 |
| primary_location.id | doi:10.1088/1755-1315/714/4/042036 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4210195883 |
| primary_location.source.issn | 1755-1307, 1755-1315 |
| primary_location.source.type | conference |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 1755-1307 |
| primary_location.source.is_core | False |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | IOP Conference Series Earth and Environmental Science |
| primary_location.source.host_organization | https://openalex.org/P4310320083 |
| primary_location.source.host_organization_name | IOP Publishing |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310320083, https://openalex.org/P4310311669 |
| primary_location.source.host_organization_lineage_names | IOP Publishing, Institute of Physics |
| primary_location.license | cc-by |
| primary_location.pdf_url | |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | IOP Conference Series: Earth and Environmental Science |
| primary_location.landing_page_url | https://doi.org/10.1088/1755-1315/714/4/042036 |
| publication_date | 2021-03-01 |
| publication_year | 2021 |
| referenced_works_count | 0 |
| abstract_inverted_index.In | 1 |
| abstract_inverted_index.by | 30 |
| abstract_inverted_index.is | 47 |
| abstract_inverted_index.of | 12, 54 |
| abstract_inverted_index.on | 42 |
| abstract_inverted_index.to | 3, 49 |
| abstract_inverted_index.and | 7 |
| abstract_inverted_index.key | 28 |
| abstract_inverted_index.the | 9, 19, 27, 32, 38, 43, 51 |
| abstract_inverted_index.Then | 25 |
| abstract_inverted_index.grey | 33 |
| abstract_inverted_index.grid | 14, 21 |
| abstract_inverted_index.this | 16 |
| abstract_inverted_index.used | 48 |
| abstract_inverted_index.avoid | 4 |
| abstract_inverted_index.based | 41 |
| abstract_inverted_index.grid. | 56 |
| abstract_inverted_index.index | 23 |
| abstract_inverted_index.multi | 44 |
| abstract_inverted_index.order | 2 |
| abstract_inverted_index.paper | 17 |
| abstract_inverted_index.power | 13, 20, 55 |
| abstract_inverted_index.scale | 53 |
| abstract_inverted_index.using | 31 |
| abstract_inverted_index.theory | 46 |
| abstract_inverted_index.improve | 8 |
| abstract_inverted_index.invalid | 5 |
| abstract_inverted_index.method. | 36 |
| abstract_inverted_index.predict | 50 |
| abstract_inverted_index.system. | 24 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.Finally, | 37 |
| abstract_inverted_index.analysis | 35, 40 |
| abstract_inverted_index.scenario | 45 |
| abstract_inverted_index.extracted | 26 |
| abstract_inverted_index.companies, | 15 |
| abstract_inverted_index.efficiency | 11 |
| abstract_inverted_index.indicators | 29 |
| abstract_inverted_index.investment | 6, 10, 22, 52 |
| abstract_inverted_index.regression | 39 |
| abstract_inverted_index.constructed | 18 |
| abstract_inverted_index.correlation | 34 |
| cited_by_percentile_year.max | 94 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 7 |
| citation_normalized_percentile.value | 0.72843179 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |