{"id":"https://openalex.org/W4415036962","doi":"https://doi.org/10.1016/j.joi.2026.101791","title":"Leveraging GANs for citation intent classification and its impact on citation network analysis","display_name":"Leveraging GANs for citation intent classification and its impact on citation network analysis","publication_year":2026,"publication_date":"2026-02-27","ids":{"openalex":"https://openalex.org/W4415036962","doi":"https://doi.org/10.1016/j.joi.2026.101791"},"language":"en","primary_location":{"id":"doi:10.1016/j.joi.2026.101791","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.joi.2026.101791","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Informetrics","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/j.joi.2026.101791","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Davi A. Bezerra","orcid":"https://orcid.org/0009-0005-7255-7558"},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Davi A. Bezerra","raw_affiliation_strings":["Institute of Mathematics and Computer Science, University of S\u00e3o Paulo, S\u00e3o Carlos, Brazil"],"raw_orcid":"https://orcid.org/0009-0005-7255-7558","affiliations":[{"raw_affiliation_string":"Institute of Mathematics and Computer Science, University of S\u00e3o Paulo, S\u00e3o Carlos, Brazil","institution_ids":["https://openalex.org/I17974374"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025683130","display_name":"Filipi N. Silva","orcid":"https://orcid.org/0000-0002-9151-6517"},"institutions":[{"id":"https://openalex.org/I4210119109","display_name":"Indiana University Bloomington","ror":"https://ror.org/02k40bc56","country_code":"US","type":"education","lineage":["https://openalex.org/I4210119109","https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Filipi N. Silva","raw_affiliation_strings":["Observatory on Social Media Indiana University, Bloomington, IN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Observatory on Social Media Indiana University, Bloomington, IN, USA","institution_ids":["https://openalex.org/I4210119109"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074263397","display_name":"Diego R. Amancio","orcid":"https://orcid.org/0000-0002-3422-5166"},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Diego R. Amancio","raw_affiliation_strings":["Institute of Mathematics and Computer Science, University of S\u00e3o Paulo, S\u00e3o Carlos, Brazil"],"raw_orcid":"https://orcid.org/0000-0002-3422-5166","affiliations":[{"raw_affiliation_string":"Institute of Mathematics and Computer Science, University of S\u00e3o Paulo, S\u00e3o Carlos, Brazil","institution_ids":["https://openalex.org/I17974374"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I17974374"],"apc_list":{"value":3680,"currency":"USD","value_usd":3680},"apc_paid":{"value":3680,"currency":"USD","value_usd":3680},"fwci":9.5991,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.92782373,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"20","issue":"2","first_page":"101791","last_page":"101791"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.8679999709129333,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.8679999709129333,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/betweenness-centrality","display_name":"Betweenness centrality","score":0.9429000020027161},{"id":"https://openalex.org/keywords/citation","display_name":"Citation","score":0.7940999865531921},{"id":"https://openalex.org/keywords/centrality","display_name":"Centrality","score":0.7421000003814697},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5379999876022339},{"id":"https://openalex.org/keywords/citation-analysis","display_name":"Citation analysis","score":0.49549999833106995},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.49050000309944153},{"id":"https://openalex.org/keywords/network-analysis","display_name":"Network analysis","score":0.396699994802475},{"id":"https://openalex.org/keywords/network-science","display_name":"Network science","score":0.335999995470047}],"concepts":[{"id":"https://openalex.org/C117045392","wikidata":"https://www.wikidata.org/wiki/Q4899215","display_name":"Betweenness centrality","level":3,"score":0.9429000020027161},{"id":"https://openalex.org/C2778805511","wikidata":"https://www.wikidata.org/wiki/Q1713","display_name":"Citation","level":2,"score":0.7940999865531921},{"id":"https://openalex.org/C53811970","wikidata":"https://www.wikidata.org/wiki/Q5062194","display_name":"Centrality","level":2,"score":0.7421000003814697},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6747000217437744},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5654000043869019},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5379999876022339},{"id":"https://openalex.org/C105345328","wikidata":"https://www.wikidata.org/wiki/Q206276","display_name":"Citation analysis","level":3,"score":0.49549999833106995},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.49050000309944153},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.47510001063346863},{"id":"https://openalex.org/C32946077","wikidata":"https://www.wikidata.org/wiki/Q618079","display_name":"Network analysis","level":2,"score":0.396699994802475},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34850001335144043},{"id":"https://openalex.org/C137753397","wikidata":"https://www.wikidata.org/wiki/Q2434424","display_name":"Network science","level":3,"score":0.335999995470047},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.32580000162124634},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3075999915599823},{"id":"https://openalex.org/C114713312","wikidata":"https://www.wikidata.org/wiki/Q7551269","display_name":"Social network analysis","level":3,"score":0.303600013256073},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29409998655319214},{"id":"https://openalex.org/C2779545769","wikidata":"https://www.wikidata.org/wiki/Q5135364","display_name":"Closeness","level":2,"score":0.29409998655319214},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.2897999882698059},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.2782999873161316},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.26269999146461487},{"id":"https://openalex.org/C2781083858","wikidata":"https://www.wikidata.org/wiki/Q17327049","display_name":"Scientific literature","level":2,"score":0.26019999384880066},{"id":"https://openalex.org/C11804174","wikidata":"https://www.wikidata.org/wiki/Q1192971","display_name":"Network theory","level":2,"score":0.2540000081062317},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.25290000438690186}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1016/j.joi.2026.101791","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.joi.2026.101791","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Informetrics","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2505.21162","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2505.21162","pdf_url":"https://arxiv.org/pdf/2505.21162","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2505.21162","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2505.21162","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.1016/j.joi.2026.101791","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.joi.2026.101791","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Informetrics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W2465684156","https://openalex.org/W4323364208","https://openalex.org/W3012543558","https://openalex.org/W4309309138","https://openalex.org/W4406918849","https://openalex.org/W2521984931","https://openalex.org/W2275629677","https://openalex.org/W3005361552","https://openalex.org/W3128923306","https://openalex.org/W2808556605","https://openalex.org/W2147854962","https://openalex.org/W2163662673","https://openalex.org/W4404405573","https://openalex.org/W2507562257","https://openalex.org/W2015574270","https://openalex.org/W2150569271","https://openalex.org/W4402775249","https://openalex.org/W3009242205","https://openalex.org/W4399906319","https://openalex.org/W1739599771","https://openalex.org/W2798150405","https://openalex.org/W2069751085","https://openalex.org/W1980118257","https://openalex.org/W2043650643","https://openalex.org/W2950903507","https://openalex.org/W4399038811","https://openalex.org/W2591413103","https://openalex.org/W2983983302"],"related_works":[],"abstract_inverted_index":{"\u2022":[0,17,37,51],"We":[1,185],"propose":[2],"a":[3,46,60,69,78,128,140],"semi-supervised":[4],"model":[5],"for":[6,80,127],"citation":[7,25,124,145,190,198,218,238,254],"intent":[8,53,125,182],"classification":[9,156,183],"that":[10,150,210],"integrates":[11],"GANs":[12],"with":[13,31,45,162,177],"domain-specific":[14],"SciBERT":[15],"embeddings.":[16],"This":[18,166],"paper":[19,65,211],"applies":[20],"intent-based":[21],"filtering":[22,54,189,236],"to":[23,99,143,234],"large-scale":[24],"networks,":[26],"including":[27],"the":[28,73,82,100,110,151,168,193,201,205,235,244],"unarXiv":[29],"dataset":[30],"76k":[32],"nodes":[33],"and":[34,58,89,170,229],"171k":[35],"edges.":[36],"cGAN-SciBERT":[38],"yields":[39],"competitive":[40,155],"F1-scores":[41],"(0.887":[42],"on":[43],"SciCite)":[44],"minimal":[47],"number":[48],"of":[49,64,84,102,132,172,195,237],"parameters.":[50,165],"Citation":[52],"changes":[55,249],"centrality":[56,194,222,242],"rankings":[57,212],"enables":[59],"more":[61,129],"refined":[62],"assessment":[63],"influence.":[66,92],"Citations":[67],"play":[68],"fundamental":[70],"role":[71],"in":[72,180,197,250],"scientific":[74,133],"ecosystem,":[75],"serving":[76],"as":[77],"foundation":[79],"tracking":[81],"flow":[83],"knowledge,":[85],"acknowledging":[86],"prior":[87],"work,":[88],"assessing":[90],"scholarly":[91],"In":[93,135],"scientometrics,":[94],"they":[95],"are":[96],"also":[97,186],"central":[98],"construction":[101],"quantitative":[103],"indicators.":[104],"Not":[105],"all":[106],"citations,":[107],"however,":[108],"serve":[109],"same":[111],"function:":[112],"some":[113],"provide":[114],"background,":[115],"others":[116],"introduce":[117],"methods,":[118],"or":[119],"compare":[120],"results.":[121],"Therefore,":[122],"understanding":[123],"allows":[126],"nuanced":[130],"interpretation":[131],"impact.":[134],"this":[136],"paper,":[137],"we":[138,208],"adopted":[139],"GAN-based":[141],"method":[142,153],"classify":[144],"intents.":[146],"Our":[147],"results":[148,161],"revealed":[149],"proposed":[152],"achieves":[154],"performance,":[157],"closely":[158],"matching":[159],"state-of-the-art":[160],"substantially":[163],"fewer":[164],"demonstrates":[167],"effectiveness":[169],"efficiency":[171],"leveraging":[173],"GAN":[174],"architectures":[175],"combined":[176],"contextual":[178],"embeddings":[179],"an":[181],"task.":[184],"investigated":[187],"whether":[188],"intents":[191,255],"affects":[192],"papers":[196],"networks.":[199],"Analyzing":[200],"network":[202],"constructed":[203],"from":[204],"unArXiv":[206],"dataset,":[207],"found":[209],"can":[213],"be":[214],"significantly":[215],"influenced":[216],"by":[217],"intent.":[219],"All":[220],"four":[221],"metrics":[223],"examined":[224],"\u2013":[225,231],"degree,":[226],"PageRank,":[227],"closeness,":[228],"betweenness":[230,241],"were":[232,256],"sensitive":[233],"types.":[239],"The":[240],"displayed":[243],"greatest":[245],"sensitivity,":[246],"showing":[247],"substantial":[248],"ranking":[251],"when":[252],"specific":[253],"removed.":[257]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-05-22T09:01:20.584952","created_date":"2025-10-10T00:00:00"}
