Predicting Long-Term Scientific Impact Based on Multi-Field Feature Extraction Article Swipe

PDF

Ziming Wu , Weiwei Lin , Pan Liu , Jingbang Chen , Li Mao ·

YOU? · · 2019 · Open Access · · DOI: https://doi.org/10.1109/access.2019.2910239

Nowadays, there have been many studies on evaluating the scientific impact of scholars. However, we still lack effective methods to predict long-term impact, especially 10 years in the future. Therefore, we propose a long-term scientific impact prediction model based on multi-field feature extraction. The workflow of our proposed model consists of feature engineering and model ensemble. In feature engineering, we extract attribute feature, time-series feature, and heterogeneous network feature based on three different fields. Moreover, when extracting heterogeneous network feature, we propose a scientific impact evaluation method based on heterogeneous academic network, which considers both the time of publication and author order factors. In the model ensemble, we adjust the basic model and noise model to the different training set to make full use of the information from the original dataset. The experiment results demonstrate that the proposed model can stably improve the accuracy of scholars' scientific impact prediction, and it also offers a prediction pattern for long-term prediction problem.

Related Topics

Artificial Intelligence

Concepts

Computer science Feature engineering Feature (linguistics) Field (mathematics) Term (time) Feature extraction Workflow Data mining Machine learning Artificial intelligence Predictive modelling Deep learning Database Mathematics Physics Pure mathematics Linguistics Quantum mechanics Philosophy

Metadata

Type: article
Language: en
Landing Page: https://doi.org/10.1109/access.2019.2910239
PDF: https://ieeexplore.ieee.org/ielx7/6287639/8600701/08685097.pdf
OA Status: gold
Cited By: 14
References: 40
Related Works: 10
OpenAlex ID: https://openalex.org/W2941365238

All OpenAlex metadata

Raw OpenAlex JSON

OpenAlex ID: https://openalex.org/W2941365238

Canonical identifier for this work in OpenAlex
DOI: https://doi.org/10.1109/access.2019.2910239

Digital Object Identifier
Title: Predicting Long-Term Scientific Impact Based on Multi-Field Feature Extraction

Work title
Type: article

OpenAlex work type
Language: en

Primary language
Publication year: 2019

Year of publication
Publication date: 2019-01-01

Full publication date if available
Authors: Ziming Wu, Weiwei Lin, Pan Liu, Jingbang Chen, Li Mao

List of authors in order
Landing page: https://doi.org/10.1109/access.2019.2910239

Publisher landing page
PDF URL: https://ieeexplore.ieee.org/ielx7/6287639/8600701/08685097.pdf

Direct link to full text PDF
Open access: Yes

Whether a free full text is available
OA status: gold

Open access status per OpenAlex
OA URL: https://ieeexplore.ieee.org/ielx7/6287639/8600701/08685097.pdf

Direct OA link when available
Concepts: Computer science, Feature engineering, Feature (linguistics), Field (mathematics), Term (time), Feature extraction, Workflow, Data mining, Machine learning, Artificial intelligence, Predictive modelling, Deep learning, Database, Mathematics, Physics, Pure mathematics, Linguistics, Quantum mechanics, Philosophy

Top concepts (fields/topics) attached by OpenAlex
Cited by: 14

Total citation count in OpenAlex
Citations by year (recent): 2023: 3, 2022: 3, 2021: 3, 2020: 4, 2019: 1

Per-year citation counts (last 5 years)
References (count): 40

Number of works referenced by this work
Related works (count): 10

Other works algorithmically related by OpenAlex

Full payload

id	https://openalex.org/W2941365238
doi	https://doi.org/10.1109/access.2019.2910239
ids.doi	https://doi.org/10.1109/access.2019.2910239
ids.mag	2941365238
ids.openalex	https://openalex.org/W2941365238
fwci	2.03044534
type	article
title	Predicting Long-Term Scientific Impact Based on Multi-Field Feature Extraction
awards[0].id	https://openalex.org/G8747819390
awards[0].funder_id	https://openalex.org/F4320335795
awards[0].display_name
awards[0].funder_award_id	2016A010101018
awards[0].funder_display_name	Science and Technology Planning Project of Guangdong Province
awards[1].id	https://openalex.org/G8286750424
awards[1].funder_id	https://openalex.org/F4320335795
awards[1].display_name
awards[1].funder_award_id	2017B010126002
awards[1].funder_display_name	Science and Technology Planning Project of Guangdong Province
awards[2].id	https://openalex.org/G5177161963
awards[2].funder_id	https://openalex.org/F4320335795
awards[2].display_name
awards[2].funder_award_id	2016A010119171
awards[2].funder_display_name	Science and Technology Planning Project of Guangdong Province
awards[3].id	https://openalex.org/G8569276088
awards[3].funder_id	https://openalex.org/F4320321001
awards[3].display_name
awards[3].funder_award_id	61772205
awards[3].funder_display_name	National Natural Science Foundation of China
awards[4].id	https://openalex.org/G3918016905
awards[4].funder_id	https://openalex.org/F4320321001
awards[4].display_name
awards[4].funder_award_id	61872084
awards[4].funder_display_name	National Natural Science Foundation of China
awards[5].id	https://openalex.org/G6851739845
awards[5].funder_id	https://openalex.org/F4320335795
awards[5].display_name
awards[5].funder_award_id	2018KJYZ009
awards[5].funder_display_name	Science and Technology Planning Project of Guangdong Province
biblio.issue
biblio.volume	7
biblio.last_page	51770
biblio.first_page	51759
topics[0].id	https://openalex.org/T10102
topics[0].field.id	https://openalex.org/fields/18
topics[0].field.display_name	Decision Sciences
topics[0].score	0.9975000023841858
topics[0].domain.id	https://openalex.org/domains/2
topics[0].domain.display_name	Social Sciences
topics[0].subfield.id	https://openalex.org/subfields/1804
topics[0].subfield.display_name	Statistics, Probability and Uncertainty
topics[0].display_name	scientometrics and bibliometrics research
topics[1].id	https://openalex.org/T11937
topics[1].field.id	https://openalex.org/fields/17
topics[1].field.display_name	Computer Science
topics[1].score	0.9370999932289124
topics[1].domain.id	https://openalex.org/domains/3
topics[1].domain.display_name	Physical Sciences
topics[1].subfield.id	https://openalex.org/subfields/1710
topics[1].subfield.display_name	Information Systems
topics[1].display_name	Research Data Management Practices
topics[2].id	https://openalex.org/T11986
topics[2].field.id	https://openalex.org/fields/18
topics[2].field.display_name	Decision Sciences
topics[2].score	0.9150000214576721
topics[2].domain.id	https://openalex.org/domains/2
topics[2].domain.display_name	Social Sciences
topics[2].subfield.id	https://openalex.org/subfields/1802
topics[2].subfield.display_name	Information Systems and Management
topics[2].display_name	Scientific Computing and Data Management
funders[0].id	https://openalex.org/F4320321001
funders[0].ror	https://ror.org/01h0zpd94
funders[0].display_name	National Natural Science Foundation of China
funders[1].id	https://openalex.org/F4320335795
funders[1].ror
funders[1].display_name	Science and Technology Planning Project of Guangdong Province
is_xpac	False
apc_list.value	1850
apc_list.currency	USD
apc_list.value_usd	1850
apc_paid.value	1850
apc_paid.currency	USD
apc_paid.value_usd	1850
concepts[0].id	https://openalex.org/C41008148
concepts[0].level	0
concepts[0].score	0.7718492746353149
concepts[0].wikidata	https://www.wikidata.org/wiki/Q21198
concepts[0].display_name	Computer science
concepts[1].id	https://openalex.org/C2778827112
concepts[1].level	3
concepts[1].score	0.721598207950592
concepts[1].wikidata	https://www.wikidata.org/wiki/Q22245680
concepts[1].display_name	Feature engineering
concepts[2].id	https://openalex.org/C2776401178
concepts[2].level	2
concepts[2].score	0.7025655508041382
concepts[2].wikidata	https://www.wikidata.org/wiki/Q12050496
concepts[2].display_name	Feature (linguistics)
concepts[3].id	https://openalex.org/C9652623
concepts[3].level	2
concepts[3].score	0.6751037240028381
concepts[3].wikidata	https://www.wikidata.org/wiki/Q190109
concepts[3].display_name	Field (mathematics)
concepts[4].id	https://openalex.org/C61797465
concepts[4].level	2
concepts[4].score	0.6464207172393799
concepts[4].wikidata	https://www.wikidata.org/wiki/Q1188986
concepts[4].display_name	Term (time)
concepts[5].id	https://openalex.org/C52622490
concepts[5].level	2
concepts[5].score	0.6128306984901428
concepts[5].wikidata	https://www.wikidata.org/wiki/Q1026626
concepts[5].display_name	Feature extraction
concepts[6].id	https://openalex.org/C177212765
concepts[6].level	2
concepts[6].score	0.5888069272041321
concepts[6].wikidata	https://www.wikidata.org/wiki/Q627335
concepts[6].display_name	Workflow
concepts[7].id	https://openalex.org/C124101348
concepts[7].level	1
concepts[7].score	0.5748758912086487
concepts[7].wikidata	https://www.wikidata.org/wiki/Q172491
concepts[7].display_name	Data mining
concepts[8].id	https://openalex.org/C119857082
concepts[8].level	1
concepts[8].score	0.4753651022911072
concepts[8].wikidata	https://www.wikidata.org/wiki/Q2539
concepts[8].display_name	Machine learning
concepts[9].id	https://openalex.org/C154945302
concepts[9].level	1
concepts[9].score	0.45858240127563477
concepts[9].wikidata	https://www.wikidata.org/wiki/Q11660
concepts[9].display_name	Artificial intelligence
concepts[10].id	https://openalex.org/C45804977
concepts[10].level	2
concepts[10].score	0.41292959451675415
concepts[10].wikidata	https://www.wikidata.org/wiki/Q7239673
concepts[10].display_name	Predictive modelling
concepts[11].id	https://openalex.org/C108583219
concepts[11].level	2
concepts[11].score	0.133697509765625
concepts[11].wikidata	https://www.wikidata.org/wiki/Q197536
concepts[11].display_name	Deep learning
concepts[12].id	https://openalex.org/C77088390
concepts[12].level	1
concepts[12].score	0.06636965274810791
concepts[12].wikidata	https://www.wikidata.org/wiki/Q8513
concepts[12].display_name	Database
concepts[13].id	https://openalex.org/C33923547
concepts[13].level	0
concepts[13].score	0.06591758131980896
concepts[13].wikidata	https://www.wikidata.org/wiki/Q395
concepts[13].display_name	Mathematics
concepts[14].id	https://openalex.org/C121332964
concepts[14].level	0
concepts[14].score	0.0
concepts[14].wikidata	https://www.wikidata.org/wiki/Q413
concepts[14].display_name	Physics
concepts[15].id	https://openalex.org/C202444582
concepts[15].level	1
concepts[15].score	0.0
concepts[15].wikidata	https://www.wikidata.org/wiki/Q837863
concepts[15].display_name	Pure mathematics
concepts[16].id	https://openalex.org/C41895202
concepts[16].level	1
concepts[16].score	0.0
concepts[16].wikidata	https://www.wikidata.org/wiki/Q8162
concepts[16].display_name	Linguistics
concepts[17].id	https://openalex.org/C62520636
concepts[17].level	1
concepts[17].score	0.0
concepts[17].wikidata	https://www.wikidata.org/wiki/Q944
concepts[17].display_name	Quantum mechanics
concepts[18].id	https://openalex.org/C138885662
concepts[18].level	0
concepts[18].score	0.0
concepts[18].wikidata	https://www.wikidata.org/wiki/Q5891
concepts[18].display_name	Philosophy
keywords[0].id	https://openalex.org/keywords/computer-science
keywords[0].score	0.7718492746353149
keywords[0].display_name	Computer science
keywords[1].id	https://openalex.org/keywords/feature-engineering
keywords[1].score	0.721598207950592
keywords[1].display_name	Feature engineering
keywords[2].id	https://openalex.org/keywords/feature
keywords[2].score	0.7025655508041382
keywords[2].display_name	Feature (linguistics)
keywords[3].id	https://openalex.org/keywords/field
keywords[3].score	0.6751037240028381
keywords[3].display_name	Field (mathematics)
keywords[4].id	https://openalex.org/keywords/term
keywords[4].score	0.6464207172393799
keywords[4].display_name	Term (time)
keywords[5].id	https://openalex.org/keywords/feature-extraction
keywords[5].score	0.6128306984901428
keywords[5].display_name	Feature extraction
keywords[6].id	https://openalex.org/keywords/workflow
keywords[6].score	0.5888069272041321
keywords[6].display_name	Workflow
keywords[7].id	https://openalex.org/keywords/data-mining
keywords[7].score	0.5748758912086487
keywords[7].display_name	Data mining
keywords[8].id	https://openalex.org/keywords/machine-learning
keywords[8].score	0.4753651022911072
keywords[8].display_name	Machine learning
keywords[9].id	https://openalex.org/keywords/artificial-intelligence
keywords[9].score	0.45858240127563477
keywords[9].display_name	Artificial intelligence
keywords[10].id	https://openalex.org/keywords/predictive-modelling
keywords[10].score	0.41292959451675415
keywords[10].display_name	Predictive modelling
keywords[11].id	https://openalex.org/keywords/deep-learning
keywords[11].score	0.133697509765625
keywords[11].display_name	Deep learning
keywords[12].id	https://openalex.org/keywords/database
keywords[12].score	0.06636965274810791
keywords[12].display_name	Database
keywords[13].id	https://openalex.org/keywords/mathematics
keywords[13].score	0.06591758131980896
keywords[13].display_name	Mathematics
language	en
locations[0].id	doi:10.1109/access.2019.2910239
locations[0].is_oa	True
locations[0].source.id	https://openalex.org/S2485537415
locations[0].source.issn	2169-3536
locations[0].source.type	journal
locations[0].source.is_oa	True
locations[0].source.issn_l	2169-3536
locations[0].source.is_core	True
locations[0].source.is_in_doaj	True
locations[0].source.display_name	IEEE Access
locations[0].source.host_organization	https://openalex.org/P4310319808
locations[0].source.host_organization_name	Institute of Electrical and Electronics Engineers
locations[0].source.host_organization_lineage	https://openalex.org/P4310319808
locations[0].source.host_organization_lineage_names	Institute of Electrical and Electronics Engineers
locations[0].license
locations[0].pdf_url	https://ieeexplore.ieee.org/ielx7/6287639/8600701/08685097.pdf
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	IEEE Access
locations[0].landing_page_url	https://doi.org/10.1109/access.2019.2910239
locations[1].id	pmh:oai:doaj.org/article:463f7fa1484e4b7bae39733225a56b44
locations[1].is_oa	True
locations[1].source.id	https://openalex.org/S4306401280
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	DOAJ (DOAJ: Directory of Open Access Journals)
locations[1].source.host_organization
locations[1].source.host_organization_name
locations[1].license	cc-by-sa
locations[1].pdf_url
locations[1].version	submittedVersion
locations[1].raw_type	article
locations[1].license_id	https://openalex.org/licenses/cc-by-sa
locations[1].is_accepted	False
locations[1].is_published	False
locations[1].raw_source_name	IEEE Access, Vol 7, Pp 51759-51770 (2019)
locations[1].landing_page_url	https://doaj.org/article/463f7fa1484e4b7bae39733225a56b44
indexed_in	crossref, doaj
authorships[0].author.id	https://openalex.org/A5024398284
authorships[0].author.orcid	https://orcid.org/0000-0003-3348-7727
authorships[0].author.display_name	Ziming Wu
authorships[0].countries	CN
authorships[0].affiliations[0].institution_ids	https://openalex.org/I90610280
authorships[0].affiliations[0].raw_affiliation_string	School of Computer Science and Engineering, South China University of Technology, Guangzhou, China
authorships[0].institutions[0].id	https://openalex.org/I90610280
authorships[0].institutions[0].ror	https://ror.org/0530pts50
authorships[0].institutions[0].type	education
authorships[0].institutions[0].lineage	https://openalex.org/I90610280
authorships[0].institutions[0].country_code	CN
authorships[0].institutions[0].display_name	South China University of Technology
authorships[0].author_position	first
authorships[0].raw_author_name	Ziming Wu
authorships[0].is_corresponding	False
authorships[0].raw_affiliation_strings	School of Computer Science and Engineering, South China University of Technology, Guangzhou, China
authorships[1].author.id	https://openalex.org/A5007440245
authorships[1].author.orcid	https://orcid.org/0000-0001-6876-1795
authorships[1].author.display_name	Weiwei Lin
authorships[1].countries	CN
authorships[1].affiliations[0].institution_ids	https://openalex.org/I90610280
authorships[1].affiliations[0].raw_affiliation_string	School of Computer Science and Engineering, South China University of Technology, Guangzhou, China
authorships[1].institutions[0].id	https://openalex.org/I90610280
authorships[1].institutions[0].ror	https://ror.org/0530pts50
authorships[1].institutions[0].type	education
authorships[1].institutions[0].lineage	https://openalex.org/I90610280
authorships[1].institutions[0].country_code	CN
authorships[1].institutions[0].display_name	South China University of Technology
authorships[1].author_position	middle
authorships[1].raw_author_name	Weiwei Lin
authorships[1].is_corresponding	False
authorships[1].raw_affiliation_strings	School of Computer Science and Engineering, South China University of Technology, Guangzhou, China
authorships[2].author.id	https://openalex.org/A5101661654
authorships[2].author.orcid	https://orcid.org/0009-0003-3764-7772
authorships[2].author.display_name	Pan Liu
authorships[2].countries	CN
authorships[2].affiliations[0].institution_ids	https://openalex.org/I76130692
authorships[2].affiliations[0].raw_affiliation_string	Chu Kochen College, Zhejiang University, Hangzhou, China
authorships[2].institutions[0].id	https://openalex.org/I76130692
authorships[2].institutions[0].ror	https://ror.org/00a2xv884
authorships[2].institutions[0].type	education
authorships[2].institutions[0].lineage	https://openalex.org/I76130692
authorships[2].institutions[0].country_code	CN
authorships[2].institutions[0].display_name	Zhejiang University
authorships[2].author_position	middle
authorships[2].raw_author_name	Pan Liu
authorships[2].is_corresponding	False
authorships[2].raw_affiliation_strings	Chu Kochen College, Zhejiang University, Hangzhou, China
authorships[3].author.id	https://openalex.org/A5083159790
authorships[3].author.orcid
authorships[3].author.display_name	Jingbang Chen
authorships[3].countries	CN
authorships[3].affiliations[0].institution_ids	https://openalex.org/I76130692
authorships[3].affiliations[0].raw_affiliation_string	Chu Kochen College, Zhejiang University, Hangzhou, China
authorships[3].institutions[0].id	https://openalex.org/I76130692
authorships[3].institutions[0].ror	https://ror.org/00a2xv884
authorships[3].institutions[0].type	education
authorships[3].institutions[0].lineage	https://openalex.org/I76130692
authorships[3].institutions[0].country_code	CN
authorships[3].institutions[0].display_name	Zhejiang University
authorships[3].author_position	middle
authorships[3].raw_author_name	Jingbang Chen
authorships[3].is_corresponding	False
authorships[3].raw_affiliation_strings	Chu Kochen College, Zhejiang University, Hangzhou, China
authorships[4].author.id	https://openalex.org/A5100786429
authorships[4].author.orcid	https://orcid.org/0000-0001-5146-388X
authorships[4].author.display_name	Li Mao
authorships[4].countries	CN
authorships[4].affiliations[0].institution_ids	https://openalex.org/I4210147983
authorships[4].affiliations[0].raw_affiliation_string	Guangdong Police College, Guangzhou, China
authorships[4].institutions[0].id	https://openalex.org/I4210147983
authorships[4].institutions[0].ror	https://ror.org/05krxyw16
authorships[4].institutions[0].type	education
authorships[4].institutions[0].lineage	https://openalex.org/I4210147983
authorships[4].institutions[0].country_code	CN
authorships[4].institutions[0].display_name	Guangdong Police College
authorships[4].author_position	last
authorships[4].raw_author_name	Li Mao
authorships[4].is_corresponding	False
authorships[4].raw_affiliation_strings	Guangdong Police College, Guangzhou, China
has_content.pdf	True
has_content.grobid_xml	True
is_paratext	False
open_access.is_oa	True
open_access.oa_url	https://ieeexplore.ieee.org/ielx7/6287639/8600701/08685097.pdf
open_access.oa_status	gold
open_access.any_repository_has_fulltext	False
created_date	2025-10-10T00:00:00
display_name	Predicting Long-Term Scientific Impact Based on Multi-Field Feature Extraction
has_fulltext	True
is_retracted	False
updated_date	2025-11-06T03:46:38.306776
primary_topic.id	https://openalex.org/T10102
primary_topic.field.id	https://openalex.org/fields/18
primary_topic.field.display_name	Decision Sciences
primary_topic.score	0.9975000023841858
primary_topic.domain.id	https://openalex.org/domains/2
primary_topic.domain.display_name	Social Sciences
primary_topic.subfield.id	https://openalex.org/subfields/1804
primary_topic.subfield.display_name	Statistics, Probability and Uncertainty
primary_topic.display_name	scientometrics and bibliometrics research
related_works	https://openalex.org/W1981780420, https://openalex.org/W2182707996, https://openalex.org/W2750075801, https://openalex.org/W3164948662, https://openalex.org/W4400413234, https://openalex.org/W3153597579, https://openalex.org/W4394398790, https://openalex.org/W4399455186, https://openalex.org/W4396920741, https://openalex.org/W2923727989
cited_by_count	14
counts_by_year[0].year	2023
counts_by_year[0].cited_by_count	3
counts_by_year[1].year	2022
counts_by_year[1].cited_by_count	3
counts_by_year[2].year	2021
counts_by_year[2].cited_by_count	3
counts_by_year[3].year	2020
counts_by_year[3].cited_by_count	4
counts_by_year[4].year	2019
counts_by_year[4].cited_by_count	1
locations_count	2
best_oa_location.id	doi:10.1109/access.2019.2910239
best_oa_location.is_oa	True
best_oa_location.source.id	https://openalex.org/S2485537415
best_oa_location.source.issn	2169-3536
best_oa_location.source.type	journal
best_oa_location.source.is_oa	True
best_oa_location.source.issn_l	2169-3536
best_oa_location.source.is_core	True
best_oa_location.source.is_in_doaj	True
best_oa_location.source.display_name	IEEE Access
best_oa_location.source.host_organization	https://openalex.org/P4310319808
best_oa_location.source.host_organization_name	Institute of Electrical and Electronics Engineers
best_oa_location.source.host_organization_lineage	https://openalex.org/P4310319808
best_oa_location.source.host_organization_lineage_names	Institute of Electrical and Electronics Engineers
best_oa_location.license
best_oa_location.pdf_url	https://ieeexplore.ieee.org/ielx7/6287639/8600701/08685097.pdf
best_oa_location.version	publishedVersion
best_oa_location.raw_type	journal-article
best_oa_location.license_id
best_oa_location.is_accepted	True
best_oa_location.is_published	True
best_oa_location.raw_source_name	IEEE Access
best_oa_location.landing_page_url	https://doi.org/10.1109/access.2019.2910239
primary_location.id	doi:10.1109/access.2019.2910239
primary_location.is_oa	True
primary_location.source.id	https://openalex.org/S2485537415
primary_location.source.issn	2169-3536
primary_location.source.type	journal
primary_location.source.is_oa	True
primary_location.source.issn_l	2169-3536
primary_location.source.is_core	True
primary_location.source.is_in_doaj	True
primary_location.source.display_name	IEEE Access
primary_location.source.host_organization	https://openalex.org/P4310319808
primary_location.source.host_organization_name	Institute of Electrical and Electronics Engineers
primary_location.source.host_organization_lineage	https://openalex.org/P4310319808
primary_location.source.host_organization_lineage_names	Institute of Electrical and Electronics Engineers
primary_location.license
primary_location.pdf_url	https://ieeexplore.ieee.org/ielx7/6287639/8600701/08685097.pdf
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	IEEE Access
primary_location.landing_page_url	https://doi.org/10.1109/access.2019.2910239
publication_date	2019-01-01
publication_year	2019
referenced_works	https://openalex.org/W2344286452, https://openalex.org/W2752032793, https://openalex.org/W2295598076, https://openalex.org/W2770804468, https://openalex.org/W2775574671, https://openalex.org/W4232478844, https://openalex.org/W2026430219, https://openalex.org/W2902323525, https://openalex.org/W2889465551, https://openalex.org/W6600729055, https://openalex.org/W2017403239, https://openalex.org/W2084958200, https://openalex.org/W6630488252, https://openalex.org/W2124689612, https://openalex.org/W2325034227, https://openalex.org/W4231256769, https://openalex.org/W1968900087, https://openalex.org/W4235654740, https://openalex.org/W2808494527, https://openalex.org/W1976462278, https://openalex.org/W2725915207, https://openalex.org/W2765658614, https://openalex.org/W2005706022, https://openalex.org/W2000574324, https://openalex.org/W2128438887, https://openalex.org/W2891214541, https://openalex.org/W2067953767, https://openalex.org/W2884830853, https://openalex.org/W2761801637, https://openalex.org/W2783250069, https://openalex.org/W1718257212, https://openalex.org/W1601506792, https://openalex.org/W1974674295, https://openalex.org/W2517070929, https://openalex.org/W6731987836, https://openalex.org/W2346028821, https://openalex.org/W2082032447, https://openalex.org/W2573225424, https://openalex.org/W2951851909, https://openalex.org/W18293852
referenced_works_count	40
abstract_inverted_index.a	32, 82, 153
abstract_inverted_index.10	24
abstract_inverted_index.In	56, 103
abstract_inverted_index.in	26
abstract_inverted_index.it	150
abstract_inverted_index.of	11, 45, 50, 97, 124, 144
abstract_inverted_index.on	6, 39, 70, 88
abstract_inverted_index.to	19, 115, 120
abstract_inverted_index.we	14, 30, 59, 80, 107
abstract_inverted_index.The	43, 131
abstract_inverted_index.and	53, 65, 99, 112, 149
abstract_inverted_index.can	139
abstract_inverted_index.for	156
abstract_inverted_index.our	46
abstract_inverted_index.set	119
abstract_inverted_index.the	8, 27, 95, 104, 109, 116, 125, 128, 136, 142
abstract_inverted_index.use	123
abstract_inverted_index.also	151
abstract_inverted_index.been	3
abstract_inverted_index.both	94
abstract_inverted_index.from	127
abstract_inverted_index.full	122
abstract_inverted_index.have	2
abstract_inverted_index.lack	16
abstract_inverted_index.make	121
abstract_inverted_index.many	4
abstract_inverted_index.that	135
abstract_inverted_index.time	96
abstract_inverted_index.when	75
abstract_inverted_index.based	38, 69, 87
abstract_inverted_index.basic	110
abstract_inverted_index.model	37, 48, 54, 105, 111, 114, 138
abstract_inverted_index.noise	113
abstract_inverted_index.order	101
abstract_inverted_index.still	15
abstract_inverted_index.there	1
abstract_inverted_index.three	71
abstract_inverted_index.which	92
abstract_inverted_index.years	25
abstract_inverted_index.adjust	108
abstract_inverted_index.author	100
abstract_inverted_index.impact	10, 35, 84, 147
abstract_inverted_index.method	86
abstract_inverted_index.offers	152
abstract_inverted_index.stably	140
abstract_inverted_index.extract	60
abstract_inverted_index.feature	41, 51, 57, 68
abstract_inverted_index.fields.	73
abstract_inverted_index.future.	28
abstract_inverted_index.impact,	22
abstract_inverted_index.improve	141
abstract_inverted_index.methods	18
abstract_inverted_index.network	67, 78
abstract_inverted_index.pattern	155
abstract_inverted_index.predict	20
abstract_inverted_index.propose	31, 81
abstract_inverted_index.results	133
abstract_inverted_index.studies	5
abstract_inverted_index.However,	13
abstract_inverted_index.academic	90
abstract_inverted_index.accuracy	143
abstract_inverted_index.consists	49
abstract_inverted_index.dataset.	130
abstract_inverted_index.factors.	102
abstract_inverted_index.feature,	62, 64, 79
abstract_inverted_index.network,	91
abstract_inverted_index.original	129
abstract_inverted_index.problem.	159
abstract_inverted_index.proposed	47, 137
abstract_inverted_index.training	118
abstract_inverted_index.workflow	44
abstract_inverted_index.Moreover,	74
abstract_inverted_index.Nowadays,	0
abstract_inverted_index.attribute	61
abstract_inverted_index.considers	93
abstract_inverted_index.different	72, 117
abstract_inverted_index.effective	17
abstract_inverted_index.ensemble,	106
abstract_inverted_index.ensemble.	55
abstract_inverted_index.long-term	21, 33, 157
abstract_inverted_index.scholars'	145
abstract_inverted_index.scholars.	12
abstract_inverted_index.Therefore,	29
abstract_inverted_index.especially	23
abstract_inverted_index.evaluating	7
abstract_inverted_index.evaluation	85
abstract_inverted_index.experiment	132
abstract_inverted_index.extracting	76
abstract_inverted_index.prediction	36, 154, 158
abstract_inverted_index.scientific	9, 34, 83, 146
abstract_inverted_index.demonstrate	134
abstract_inverted_index.engineering	52
abstract_inverted_index.extraction.	42
abstract_inverted_index.information	126
abstract_inverted_index.multi-field	40
abstract_inverted_index.prediction,	148
abstract_inverted_index.publication	98
abstract_inverted_index.time-series	63
abstract_inverted_index.engineering,	58
abstract_inverted_index.heterogeneous	66, 77, 89
cited_by_percentile_year.max	97
cited_by_percentile_year.min	90
countries_distinct_count	1
institutions_distinct_count	5
citation_normalized_percentile.value	0.88026697
citation_normalized_percentile.is_in_top_1_percent	False
citation_normalized_percentile.is_in_top_10_percent	False