{"id":"https://openalex.org/W4407466430","doi":"https://doi.org/10.1109/iccvit63928.2024.10872618","title":"Exploring Semantic Links in Bibliographic Network-based Citation Recommendation","display_name":"Exploring Semantic Links in Bibliographic Network-based Citation Recommendation","publication_year":2024,"publication_date":"2024-11-24","ids":{"openalex":"https://openalex.org/W4407466430","doi":"https://doi.org/10.1109/iccvit63928.2024.10872618"},"language":"en","primary_location":{"id":"doi:10.1109/iccvit63928.2024.10872618","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccvit63928.2024.10872618","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 2nd International Conference on Computer, Vision and Intelligent Technology (ICCVIT)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5081147429","display_name":"Xuejun Ren","orcid":"https://orcid.org/0000-0001-6132-1228"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xuejun Ren","raw_affiliation_strings":["Suzhou University,School of Information Engineering,Suzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Suzhou University,School of Information Engineering,Suzhou,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040195274","display_name":"Lixia Hu","orcid":"https://orcid.org/0000-0001-6743-1049"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liangyi Hu","raw_affiliation_strings":["Suzhou University,School of Business,Suzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Suzhou University,School of Business,Suzhou,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101722152","display_name":"Lin Cui","orcid":"https://orcid.org/0000-0002-1001-7821"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lin Cui","raw_affiliation_strings":["Suzhou University,School of Information Engineering,Suzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Suzhou University,School of Information Engineering,Suzhou,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016499715","display_name":"Dabing Li","orcid":"https://orcid.org/0000-0001-5353-1460"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dejun Li","raw_affiliation_strings":["Suzhou Vocational College of Civil Aviation,Suzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Suzhou Vocational College of Civil Aviation,Suzhou,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100355692","display_name":"Yang Liu","orcid":"https://orcid.org/0000-0001-7300-9215"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang Liu","raw_affiliation_strings":["Jiangdong Holding Group Co., Ltd,General Affairs Department,Maanshan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangdong Holding Group Co., Ltd,General Affairs Department,Maanshan,China","institution_ids":[]}]},{"author_position":"last","author":{"id":null,"display_name":"Zhenghua Xin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhenghua Xin","raw_affiliation_strings":["Suzhou University,School of Information Engineering,Suzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Suzhou University,School of Information Engineering,Suzhou,China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9789999723434448,"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":"Advanced Text Analysis Techniques","score":0.9789999723434448,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9731000065803528,"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/T10028","display_name":"Topic Modeling","score":0.9661999940872192,"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/computer-science","display_name":"Computer science","score":0.7822870016098022},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6054551005363464},{"id":"https://openalex.org/keywords/citation","display_name":"Citation","score":0.51966392993927},{"id":"https://openalex.org/keywords/semantic-network","display_name":"Semantic network","score":0.43329429626464844},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.4168471693992615},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.37083733081817627},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.20433923602104187}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7822870016098022},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6054551005363464},{"id":"https://openalex.org/C2778805511","wikidata":"https://www.wikidata.org/wiki/Q1713","display_name":"Citation","level":2,"score":0.51966392993927},{"id":"https://openalex.org/C85407183","wikidata":"https://www.wikidata.org/wiki/Q1045785","display_name":"Semantic network","level":2,"score":0.43329429626464844},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.4168471693992615},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.37083733081817627},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.20433923602104187}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccvit63928.2024.10872618","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccvit63928.2024.10872618","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 2nd International Conference on Computer, Vision and Intelligent Technology (ICCVIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321435","display_name":"Anhui University","ror":"https://ror.org/05th6yx34"},{"id":"https://openalex.org/F4320324852","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760"},{"id":"https://openalex.org/F4320330925","display_name":"Suzhou University","ror":null},{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W926830766","https://openalex.org/W1015675232","https://openalex.org/W2022322548","https://openalex.org/W2122778642","https://openalex.org/W2149288670","https://openalex.org/W2154851992","https://openalex.org/W2244992438","https://openalex.org/W2597485909","https://openalex.org/W2612281806","https://openalex.org/W2724398475","https://openalex.org/W2740934577","https://openalex.org/W2743104969","https://openalex.org/W2787905871","https://openalex.org/W2789032889","https://openalex.org/W2802966978","https://openalex.org/W2808466528","https://openalex.org/W2903672323","https://openalex.org/W2910828286","https://openalex.org/W2935051602","https://openalex.org/W2962756421","https://openalex.org/W2963185067","https://openalex.org/W3047449474","https://openalex.org/W3145831416","https://openalex.org/W3175655318","https://openalex.org/W4376269558","https://openalex.org/W4383535867","https://openalex.org/W4392301223","https://openalex.org/W6636510571","https://openalex.org/W6690230747","https://openalex.org/W6728442631"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W4317642157","https://openalex.org/W2363440148","https://openalex.org/W4239542068","https://openalex.org/W1974749013","https://openalex.org/W134931362","https://openalex.org/W2317510431","https://openalex.org/W1990811139","https://openalex.org/W2352401039","https://openalex.org/W2181265275"],"abstract_inverted_index":{"Citation":[0],"recommendations":[1],"hold":[2],"substantial":[3],"academic":[4],"importance":[5],"in":[6,60,185],"the":[7,19,116,156,167,180],"era":[8],"of":[9,22,115,118,170,182],"big":[10],"scholarly":[11],"data.":[12],"The":[13,104,120],"tasks":[14,34],"not":[15],"only":[16],"depend":[17],"on":[18,112,146],"semantic":[20,56,95,110,121,128,141,183],"expression":[21],"publications,":[23],"but":[24],"also":[25],"are":[26],"associated":[27],"with":[28,53,148],"structural":[29,58],"information.":[30],"Recently,":[31],"many":[32],"recommendation":[33,65,189],"have":[35],"been":[36],"modeled":[37],"using":[38,190],"network-based":[39,187],"representations,":[40],"where":[41],"nodes":[42],"signify":[43],"entities":[44],"and":[45,57,62,130,159],"edges":[46],"indicate":[47],"their":[48,175],"interactions.":[49],"Creating":[50],"node":[51,68],"representations":[52,153],"fusing":[54],"both":[55],"information":[59,161,165],"network":[61,100,113,147],"considering":[63],"citation":[64,102,188],"as":[66],"publication":[67,136,171],"similarity":[69],"searching":[70],"task":[71],"is":[72,107],"an":[73],"effective":[74],"solution.":[75],"In":[76],"order":[77],"to":[78,108,134],"achieve":[79],"this":[80,91],"goal,":[81],"existing":[82],"works":[83],"consistently":[84],"interact":[85],"two":[86,124,191],"publications.":[87],"This":[88,163],"paper":[89],"addresses":[90],"challenge":[92],"by":[93],"introducing":[94],"links":[96,111,122],"within":[97],"a":[98],"bibliographic":[99,186],"for":[101],"recommendations.":[103],"basic":[105],"motivation":[106],"construct":[109],"instead":[114],"role":[117],"keywords.":[119],"denote":[123],"publications":[125],"sharing":[126],"similar":[127],"meanings":[129],"provide":[131],"valuable":[132],"supervision":[133],"learn":[135],"representations.":[137],"To":[138],"obtain":[139],"high-quality":[140],"links,":[142],"we":[143,178],"create":[144],"them":[145],"high-similarity":[149],"other":[150],"publications'":[151],"text":[152],"captured":[154],"from":[155],"two-level":[157],"hierarchical":[158,168],"transparent":[160],"(word-sentence-document).":[162],"word-sentence-document":[164],"reflects":[166],"structure":[169],"texts,":[172],"accurately":[173],"capturing":[174],"semantics.":[176],"Finally,":[177],"verify":[179],"effectiveness":[181],"link":[184],"real-world":[192],"datasets.":[193]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
