iBet uBet web content aggregator. Adding the entire web to your favor.
iBet uBet web content aggregator. Adding the entire web to your favor.



Link to original content: https://api.openalex.org/works/doi:10.1016/J.JOI.2021.101235
{"id":"https://openalex.org/W4200470955","doi":"https://doi.org/10.1016/j.joi.2021.101235","title":"Utilizing citation network structure to predict paper citation counts: A Deep learning approach","display_name":"Utilizing citation network structure to predict paper citation counts: A Deep learning approach","publication_year":2021,"publication_date":"2021-12-09","ids":{"openalex":"https://openalex.org/W4200470955","doi":"https://doi.org/10.1016/j.joi.2021.101235"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.joi.2021.101235","pdf_url":null,"source":{"id":"https://openalex.org/S205292342","display_name":"Journal of Informetrics","issn_l":"1751-1577","issn":["1751-1577","1875-5879"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074898687","display_name":"Qihang Zhao","orcid":"https://orcid.org/0000-0002-7693-2870"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qihang Zhao","raw_affiliation_strings":["School of Management, University of Science and Technology of China, Hefei, Anhui 230026, PR China"],"affiliations":[{"raw_affiliation_string":"School of Management, University of Science and Technology of China, Hefei, Anhui 230026, PR China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041569530","display_name":"Xiaodong Feng","orcid":"https://orcid.org/0000-0002-5058-6527"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaodong Feng","raw_affiliation_strings":["Department of Information Management, School of Public Affairs and Administration, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, PR China"],"affiliations":[{"raw_affiliation_string":"Department of Information Management, School of Public Affairs and Administration, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, PR China","institution_ids":["https://openalex.org/I150229711"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5041569530"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":{"value":3680,"currency":"USD","value_usd":3680,"provenance":"doaj"},"apc_paid":null,"fwci":4.214,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.799581,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"16","issue":"1","first_page":"101235","last_page":"101235"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Automatic Keyword Extraction from Textual Data","score":0.9716,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13083","display_name":"Automatic Keyword Extraction from Textual Data","score":0.9716,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10102","display_name":"Bibliometric Analysis and Research Evaluation","score":0.9678,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Graph Neural Network Models and Applications","score":0.9526,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/research-evaluation","display_name":"Research Evaluation","score":0.534945},{"id":"https://openalex.org/keywords/promotion","display_name":"Promotion (chess)","score":0.47109967},{"id":"https://openalex.org/keywords/prosperity","display_name":"Prosperity","score":0.44963288}],"concepts":[{"id":"https://openalex.org/C2778805511","wikidata":"https://www.wikidata.org/wiki/Q1713","display_name":"Citation","level":2,"score":0.78240585},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7665523},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6247994},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48913792},{"id":"https://openalex.org/C98147612","wikidata":"https://www.wikidata.org/wiki/Q215599","display_name":"Promotion (chess)","level":3,"score":0.47109967},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4619378},{"id":"https://openalex.org/C2776554220","wikidata":"https://www.wikidata.org/wiki/Q1760011","display_name":"Prosperity","level":2,"score":0.44963288},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4446764},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.43666077},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39333156},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.34578326},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.22438774},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.12601134},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.joi.2021.101235","pdf_url":null,"source":{"id":"https://openalex.org/S205292342","display_name":"Journal of Informetrics","issn_l":"1751-1577","issn":["1751-1577","1875-5879"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, justice, and strong institutions"}],"grants":[{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"72004021"},{"funder":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China","award_id":"2020AAA0103804"}],"datasets":[],"versions":[],"referenced_works_count":47,"referenced_works":["https://openalex.org/W1533979032","https://openalex.org/W1605309745","https://openalex.org/W2011737106","https://openalex.org/W2014782383","https://openalex.org/W2014819518","https://openalex.org/W2015675477","https://openalex.org/W2021944660","https://openalex.org/W2059615508","https://openalex.org/W2064675550","https://openalex.org/W2109659993","https://openalex.org/W2121578705","https://openalex.org/W2124689612","https://openalex.org/W2159299749","https://openalex.org/W2162381391","https://openalex.org/W2171817276","https://openalex.org/W2615071493","https://openalex.org/W2766642606","https://openalex.org/W2772868530","https://openalex.org/W2889236714","https://openalex.org/W2911840101","https://openalex.org/W2912066479","https://openalex.org/W2913556077","https://openalex.org/W2913587321","https://openalex.org/W2913668833","https://openalex.org/W2914761779","https://openalex.org/W2914874661","https://openalex.org/W2915612428","https://openalex.org/W2929130519","https://openalex.org/W2976945603","https://openalex.org/W3004561114","https://openalex.org/W3023428950","https://openalex.org/W3029435288","https://openalex.org/W3044855816","https://openalex.org/W3098789766","https://openalex.org/W3099632057","https://openalex.org/W3134224965","https://openalex.org/W4206313250","https://openalex.org/W4230792291","https://openalex.org/W4231687553","https://openalex.org/W4234947583","https://openalex.org/W4238297360","https://openalex.org/W4238940159","https://openalex.org/W4239019441","https://openalex.org/W4248949446","https://openalex.org/W4251166437","https://openalex.org/W4251334431","https://openalex.org/W4252566574"],"related_works":["https://openalex.org/W4390466743","https://openalex.org/W4388712696","https://openalex.org/W3189241911","https://openalex.org/W3144844674","https://openalex.org/W2514561108","https://openalex.org/W2373224681","https://openalex.org/W2372773672","https://openalex.org/W2372081361","https://openalex.org/W2364724682","https://openalex.org/W2348361849"],"abstract_inverted_index":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4200470955","counts_by_year":[{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":11}],"updated_date":"2024-11-22T17:55:38.826083","created_date":"2021-12-31"}