{"id":"https://openalex.org/W3166858244","doi":"https://doi.org/10.1108/lht-04-2020-0102","title":"Topic analysis of academic disciplines based on prolific and authoritative researchers","display_name":"Topic analysis of academic disciplines based on prolific and authoritative researchers","publication_year":2021,"publication_date":"2021-06-12","ids":{"openalex":"https://openalex.org/W3166858244","doi":"https://doi.org/10.1108/lht-04-2020-0102","mag":"3166858244"},"language":"en","primary_location":{"id":"doi:10.1108/lht-04-2020-0102","is_oa":false,"landing_page_url":"https://doi.org/10.1108/lht-04-2020-0102","pdf_url":null,"source":{"id":"https://openalex.org/S143568823","display_name":"Library Hi Tech","issn_l":"0737-8831","issn":["0737-8831","2054-166X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Library Hi Tech","raw_type":"journal-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/A5101717406","display_name":"Chao Yang","orcid":"https://orcid.org/0000-0002-0607-9552"},"institutions":[{"id":"https://openalex.org/I4210141176","display_name":"Communication University of Zhejiang","ror":"https://ror.org/04t7gxr16","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210141176"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Yang","raw_affiliation_strings":["Zhejiang University , Hangzhou,","Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-0607-9552","affiliations":[{"raw_affiliation_string":"Zhejiang University , Hangzhou,","institution_ids":["https://openalex.org/I76130692","https://openalex.org/I4210141176"]},{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039810836","display_name":"Cui Huang","orcid":"https://orcid.org/0000-0002-4637-1048"},"institutions":[{"id":"https://openalex.org/I4210141176","display_name":"Communication University of Zhejiang","ror":"https://ror.org/04t7gxr16","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210141176"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cui Huang","raw_affiliation_strings":["Zhejiang University , Hangzhou,","Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-4637-1048","affiliations":[{"raw_affiliation_string":"Zhejiang University , Hangzhou,","institution_ids":["https://openalex.org/I76130692","https://openalex.org/I4210141176"]},{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101417704","display_name":"Jun Su","orcid":"https://orcid.org/0000-0001-6036-8446"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Su","raw_affiliation_strings":["Tsinghua University , Beijing,","Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-6036-8446","affiliations":[{"raw_affiliation_string":"Tsinghua University , Beijing,","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100441321","display_name":"Shutao Wang","orcid":"https://orcid.org/0000-0001-5945-1330"},"institutions":[{"id":"https://openalex.org/I4210141176","display_name":"Communication University of Zhejiang","ror":"https://ror.org/04t7gxr16","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210141176"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shutao Wang","raw_affiliation_strings":["Zhejiang University , Hangzhou,","Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-5945-1330","affiliations":[{"raw_affiliation_string":"Zhejiang University , Hangzhou,","institution_ids":["https://openalex.org/I76130692","https://openalex.org/I4210141176"]},{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.3742,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.95385549,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"39","issue":"4","first_page":"1043","last_page":"1062"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13910","display_name":"Computational and Text Analysis Methods","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13910","display_name":"Computational and Text Analysis Methods","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13274","display_name":"Expert finding and Q&A systems","score":0.9919000267982483,"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/T10102","display_name":"scientometrics and bibliometrics research","score":0.9850999712944031,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7782267928123474},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6734746098518372},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5967962145805359},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5357711911201477},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5204206109046936},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.48084649443626404},{"id":"https://openalex.org/keywords/discipline","display_name":"Discipline","score":0.4537329077720642},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4258633255958557}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7782267928123474},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6734746098518372},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5967962145805359},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5357711911201477},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5204206109046936},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.48084649443626404},{"id":"https://openalex.org/C8795937","wikidata":"https://www.wikidata.org/wiki/Q11862829","display_name":"Discipline","level":2,"score":0.4537329077720642},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4258633255958557},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1108/lht-04-2020-0102","is_oa":false,"landing_page_url":"https://doi.org/10.1108/lht-04-2020-0102","pdf_url":null,"source":{"id":"https://openalex.org/S143568823","display_name":"Library Hi Tech","issn_l":"0737-8831","issn":["0737-8831","2054-166X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Library Hi Tech","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W916305875","https://openalex.org/W1177011000","https://openalex.org/W1199560934","https://openalex.org/W1431340151","https://openalex.org/W1564362049","https://openalex.org/W1978034499","https://openalex.org/W1979161062","https://openalex.org/W1979196751","https://openalex.org/W1987430405","https://openalex.org/W1991568859","https://openalex.org/W1996332355","https://openalex.org/W1997161910","https://openalex.org/W1998602496","https://openalex.org/W1999875345","https://openalex.org/W2020575780","https://openalex.org/W2022671051","https://openalex.org/W2030192775","https://openalex.org/W2030849919","https://openalex.org/W2051949145","https://openalex.org/W2056179843","https://openalex.org/W2059163840","https://openalex.org/W2060300027","https://openalex.org/W2060920528","https://openalex.org/W2069517114","https://openalex.org/W2070524355","https://openalex.org/W2082925743","https://openalex.org/W2095283993","https://openalex.org/W2120838110","https://openalex.org/W2129509580","https://openalex.org/W2134064007","https://openalex.org/W2138460419","https://openalex.org/W2144452238","https://openalex.org/W2146712193","https://openalex.org/W2149085946","https://openalex.org/W2150220236","https://openalex.org/W2158899745","https://openalex.org/W2168085552","https://openalex.org/W2256578089","https://openalex.org/W2327791771","https://openalex.org/W2482866923","https://openalex.org/W2587792411","https://openalex.org/W2595801627","https://openalex.org/W2605932311","https://openalex.org/W2721503627","https://openalex.org/W2734032589","https://openalex.org/W2754640999","https://openalex.org/W2765179427","https://openalex.org/W2766802815","https://openalex.org/W2773402217","https://openalex.org/W2791050802","https://openalex.org/W2791450374","https://openalex.org/W2792220932","https://openalex.org/W2802685835","https://openalex.org/W3105975605","https://openalex.org/W3123632726"],"related_works":["https://openalex.org/W2366107444","https://openalex.org/W4388145910","https://openalex.org/W2381570729","https://openalex.org/W1976205134","https://openalex.org/W4248336175","https://openalex.org/W3009369890","https://openalex.org/W2031260042","https://openalex.org/W2391445434","https://openalex.org/W4312490297","https://openalex.org/W2062212388"],"abstract_inverted_index":{"Purpose":[0],"The":[1,55,121,147,194,242],"paper":[2,56,213,277],"aims":[3],"to":[4,158,220,231,260],"explore":[5],"whether":[6],"topic":[7,16,59,108,139,239,273,281,287],"analysis":[8,60,140,149,165,223,240,282,288],"(identification":[9],"of":[10,51,82,86,93,131,161,168,190,201,249,271],"the":[11,19,49,52,70,80,90,97,111,114,117,132,152,159,188,199,250,267],"core":[12,174],"contents,":[13],"trends":[14],"and":[15,29,39,65,84,105,144,176,204,229,263,269,284],"distribution":[17],"in":[18,74,135,166,186],"target":[20],"field)":[21],"can":[22,42,256,289],"be":[23,208,290],"performed":[24,291],"using":[25,125,292],"a":[26,36,58,75,101,107,126,215,226,237,246,279,293],"more":[27],"low-cost":[28],"easily":[30],"applicable":[31],"method":[32,61,115,154,196,244,283],"that":[33,124,151,255,286],"relies":[34],"on":[35,48,63,89,218,225,253],"small":[37,45,127,227,294],"dataset,":[38,228],"how":[40,219,230],"we":[41],"obtain":[43],"this":[44,233],"dataset":[46,128,134,164,234],"based":[47,62,224,252],"features":[50],"publications.":[53],"Design/methodology/approach":[54],"proposes":[57,278],"prolific":[64],"authoritative":[66],"researchers":[67,203],"(PARs).":[68],"First,":[69],"authors":[71,98,112,122],"identify":[72,232],"PARs":[73,94,191,254],"specific":[76],"discipline":[77],"by":[78,235],"considering":[79],"number":[81],"publications":[83,92,200],"citations":[85],"authors.":[87],"Based":[88],"research":[91,172],"(small":[95],"dataset),":[96],"then":[99],"construct":[100],"keyword":[102,177],"co-occurrence":[103],"network":[104,178],"perform":[106],"analysis.":[109,274],"Finally,":[110],"compare":[113],"with":[116],"traditional":[118,162,261],"method.":[119,241],"Findings":[120],"found":[123],"(only":[129],"6.47%":[130],"complete":[133],"our":[136],"experiment)":[137],"for":[138],"yields":[141],"relatively":[142],"high-quality":[143],"reliable":[145],"results.":[146],"comparison":[148],"reveals":[150],"proposed":[153,195,243],"is":[155],"quite":[156],"similar":[157],"results":[160,258],"large":[163],"terms":[167],"publication":[169],"time":[170],"distribution,":[171],"areas,":[173],"keywords":[175],"density.":[179],"Research":[180],"limitations/implications":[181],"Expert":[182],"opinions":[183],"are":[184],"needed":[185],"determining":[187],"parameters":[189],"identification":[192],"algorithm.":[193],"may":[197],"neglect":[198],"junior":[202],"its":[205],"biases":[206],"should":[207],"discussed.":[209],"Practical":[210],"implications":[211],"This":[212,276],"gives":[214],"practical":[216],"way":[217],"implement":[221],"disciplinary":[222],"proposing":[236],"PARs-based":[238,280],"presents":[245],"useful":[247],"view":[248],"data":[251],"produce":[257],"comparable":[259],"method,":[262],"thus":[264],"will":[265],"improve":[266],"effectiveness":[268],"cost":[270],"interdisciplinary":[272],"Originality/value":[275],"verifies":[285],"dataset.":[295]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}