{"id":"https://openalex.org/W3157917721","doi":"https://doi.org/10.1109/ciss50987.2021.9400311","title":"Global Citation Recommendation employing Multi-view Heterogeneous Network Embedding","display_name":"Global Citation Recommendation employing Multi-view Heterogeneous Network Embedding","publication_year":2021,"publication_date":"2021-03-24","ids":{"openalex":"https://openalex.org/W3157917721","doi":"https://doi.org/10.1109/ciss50987.2021.9400311","mag":"3157917721"},"language":"en","primary_location":{"id":"doi:10.1109/ciss50987.2021.9400311","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciss50987.2021.9400311","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 55th Annual Conference on Information Sciences and Systems (CISS)","raw_type":"proceedings-article"},"type":"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/A5022377161","display_name":"Zafar Ali","orcid":"https://orcid.org/0000-0002-6404-645X"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zafar Ali","raw_affiliation_strings":["School of Computer Science and Engineering, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034606659","display_name":"Guilin Qi","orcid":"https://orcid.org/0000-0003-0150-7236"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guilin Qi","raw_affiliation_strings":["School of Computer Science and Engineering, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018267985","display_name":"Khan Muhammad","orcid":"https://orcid.org/0000-0002-5302-1150"},"institutions":[{"id":"https://openalex.org/I28777354","display_name":"Sejong University","ror":"https://ror.org/00aft1q37","country_code":"KR","type":"education","lineage":["https://openalex.org/I28777354"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Khan Muhammad","raw_affiliation_strings":["Sejong University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Sejong University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I28777354"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064650322","display_name":"Asim Khalil","orcid":null},"institutions":[{"id":"https://openalex.org/I53831458","display_name":"Abasyn University","ror":"https://ror.org/05ws11813","country_code":"PK","type":"education","lineage":["https://openalex.org/I53831458"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Asim Khalil","raw_affiliation_strings":["Abasyn University, Peshawar, Pakistan"],"affiliations":[{"raw_affiliation_string":"Abasyn University, Peshawar, Pakistan","institution_ids":["https://openalex.org/I53831458"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014126767","display_name":"Inam Ullah","orcid":"https://orcid.org/0000-0002-2624-8093"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Inam Ullah","raw_affiliation_strings":["School of Software, Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029397446","display_name":"Amin Ullah Khan","orcid":"https://orcid.org/0000-0002-2186-337X"},"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":false,"raw_author_name":"Amin Khan","raw_affiliation_strings":["School of Computer Science and Engineering, UESTC, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, UESTC, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5022377161"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":2.2032,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.8957002,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9997000098228455,"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":0.9916999936103821,"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":0.8157256841659546},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.7892191410064697},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5967526435852051},{"id":"https://openalex.org/keywords/citation","display_name":"Citation","score":0.5161339044570923},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.5097760558128357},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.4858936667442322},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4620401859283447},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.4565640389919281},{"id":"https://openalex.org/keywords/heterogeneous-network","display_name":"Heterogeneous network","score":0.41955506801605225},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.4183984398841858},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.37263986468315125},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.35047653317451477},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34798750281333923},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34684890508651733},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33520272374153137},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.12318587303161621}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8157256841659546},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.7892191410064697},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5967526435852051},{"id":"https://openalex.org/C2778805511","wikidata":"https://www.wikidata.org/wiki/Q1713","display_name":"Citation","level":2,"score":0.5161339044570923},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.5097760558128357},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.4858936667442322},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4620401859283447},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.4565640389919281},{"id":"https://openalex.org/C158207573","wikidata":"https://www.wikidata.org/wiki/Q5747224","display_name":"Heterogeneous network","level":4,"score":0.41955506801605225},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.4183984398841858},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.37263986468315125},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.35047653317451477},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34798750281333923},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34684890508651733},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33520272374153137},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.12318587303161621},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"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/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.0},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ciss50987.2021.9400311","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciss50987.2021.9400311","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 55th Annual Conference on Information Sciences and Systems (CISS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W926830766","https://openalex.org/W1480013115","https://openalex.org/W2054428703","https://openalex.org/W2135790056","https://openalex.org/W2153579005","https://openalex.org/W2163089586","https://openalex.org/W2341468445","https://openalex.org/W2344535803","https://openalex.org/W2510317721","https://openalex.org/W2612281806","https://openalex.org/W2740900805","https://openalex.org/W2743044805","https://openalex.org/W2743104969","https://openalex.org/W2765431210","https://openalex.org/W2787905871","https://openalex.org/W2789032889","https://openalex.org/W2800937088","https://openalex.org/W2802966978","https://openalex.org/W2905586594","https://openalex.org/W2945266622","https://openalex.org/W2965277537","https://openalex.org/W2982667460","https://openalex.org/W3043016077","https://openalex.org/W3044384472","https://openalex.org/W3089538137","https://openalex.org/W3099732023","https://openalex.org/W4241807961","https://openalex.org/W4294170691","https://openalex.org/W6624531572","https://openalex.org/W6682691769","https://openalex.org/W6751349652","https://openalex.org/W6823521170"],"related_works":["https://openalex.org/W1496222301","https://openalex.org/W3207760230","https://openalex.org/W1590307681","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703","https://openalex.org/W41015297","https://openalex.org/W4280645561"],"abstract_inverted_index":{"The":[0],"enormous":[1],"number":[2],"of":[3,45,54,159],"research":[4],"papers":[5,108],"on":[6,110],"the":[7,52,73,79,127,130,154,171,178],"Web":[8],"motivated":[9],"researchers":[10],"to":[11,62,98,121,135,144],"propose":[12,87],"models":[13,26,40,68],"that":[14],"could":[15],"assist":[16],"users":[17],"with":[18],"personalized":[19,100],"citation":[20],"recommendations.":[21,101],"Recently,":[22],"Citation":[23],"Recommendation":[24],"(CR)":[25],"applying":[27],"Network":[28,95],"Representation":[29],"Learning":[30],"(NRL)":[31],"techniques":[32],"have":[33],"revealed":[34],"promising":[35],"outcomes.":[36],"Still,":[37],"current":[38],"NRL-based":[39],"are":[41,180],"limited":[42],"in":[43,72,157],"terms":[44,158],"employing":[46,139],"salient":[47],"factors":[48],"and":[49,75,118,150,163],"relations":[50,106],"between":[51,107],"objects":[53],"Multi-view":[55],"Heterogeneous":[56,94],"Networks":[57],"(MHNs),":[58],"hence,":[59],"they":[60],"failed":[61],"capture":[63],"researchers'":[64],"preferences.":[65],"Besides,":[66],"these":[67,84],"cannot":[69],"exploit":[70],"heterogeneity":[71],"networks":[74,179],"hence":[76],"suffer":[77],"from":[78],"sparsity":[80],"problems.":[81],"To":[82],"overcome":[83],"problems,":[85],"we":[86],"GCR-MHNE":[88,147],"model,":[89],"which":[90],"employs":[91],"a":[92],"Multi-View":[93],"Embedding":[96],"method":[97],"generate":[99],"Specifically,":[102],"it":[103],"exploits":[104],"semantic":[105,137],"based":[109],"citations,":[111],"venue":[112],"information,":[113,117],"topical":[114],"relevance,":[115],"authors'":[116],"relevant":[119],"labels":[120],"learn":[122],"their":[123],"vector":[124],"representations.":[125],"Moreover,":[126],"model":[128,173],"captures":[129],"most":[131],"influential":[132],"features":[133],"related":[134],"each":[136],"relation":[138],"an":[140],"attention":[141],"mechanism.":[142],"Compared":[143],"its":[145,175],"counterparts,":[146],"brings":[148],"6%":[149],"7%":[151],"improvements":[152],"using":[153],"openly-available":[155],"datasets":[156],"Mean":[160],"Average":[161],"Precision":[162],"Normalized":[164],"Discounted":[165],"Cumulative":[166],"Gain":[167],"metrics,":[168],"respectively.":[169],"Furthermore,":[170],"proposed":[172],"outperforms":[174],"counterparts":[176],"when":[177],"sparse.":[181]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
