{"id":"https://openalex.org/W3083894105","doi":"https://doi.org/10.1109/tnse.2020.3022172","title":"Maximum Value Matters: Finding Hot Topics in Scholarly Fields","display_name":"Maximum Value Matters: Finding Hot Topics in Scholarly Fields","publication_year":2020,"publication_date":"2020-09-07","ids":{"openalex":"https://openalex.org/W3083894105","doi":"https://doi.org/10.1109/tnse.2020.3022172","mag":"3083894105"},"language":"en","primary_location":{"id":"doi:10.1109/tnse.2020.3022172","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnse.2020.3022172","pdf_url":null,"source":{"id":"https://openalex.org/S2484352698","display_name":"IEEE Transactions on Network Science and Engineering","issn_l":"2327-4697","issn":["2327-4697","2334-329X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Network Science and Engineering","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/A5001112966","display_name":"Guie Meng","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guie Meng","raw_affiliation_strings":["Department of Electronic Information, and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Information, and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038913860","display_name":"Jiasheng Xu","orcid":"https://orcid.org/0000-0002-0725-5220"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiasheng Xu","raw_affiliation_strings":["Department of Electronic Information, and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Information, and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103119671","display_name":"Jinghao Zhao","orcid":"https://orcid.org/0009-0009-7959-5396"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinghao Zhao","raw_affiliation_strings":["Department of Electronic Information, and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Information, and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048486573","display_name":"Luoyi Fu","orcid":"https://orcid.org/0000-0001-7796-9168"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luoyi Fu","raw_affiliation_strings":["Department of Electronic Information, and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-7796-9168","affiliations":[{"raw_affiliation_string":"Department of Electronic Information, and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028722677","display_name":"Huan Long","orcid":"https://orcid.org/0000-0002-1328-6197"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huan Long","raw_affiliation_strings":["Department of Electronic Information, and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Information, and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085791658","display_name":"Xiaoying Gan","orcid":"https://orcid.org/0000-0001-5200-1409"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoying Gan","raw_affiliation_strings":["Department of Electronic Information, and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-5200-1409","affiliations":[{"raw_affiliation_string":"Department of Electronic Information, and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034483183","display_name":"Xinbing Wang","orcid":"https://orcid.org/0000-0002-0357-8356"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinbing Wang","raw_affiliation_strings":["Department of Electronic Information, and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-0357-8356","affiliations":[{"raw_affiliation_string":"Department of Electronic Information, and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.1917,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.49154509,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"7","issue":"4","first_page":"3246","last_page":"3256"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10799","display_name":"Data Visualization and Analytics","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9926000237464905,"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":"scientometrics and bibliometrics research","score":0.9904999732971191,"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/citation","display_name":"Citation","score":0.6731711030006409},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6202654242515564},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5707783699035645},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.5193265676498413},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5158095359802246},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.47215795516967773},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.44695931673049927},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.394100546836853},{"id":"https://openalex.org/keywords/library-science","display_name":"Library science","score":0.23609837889671326},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1918868124485016},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.17997923493385315},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.13435524702072144},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1207784116268158}],"concepts":[{"id":"https://openalex.org/C2778805511","wikidata":"https://www.wikidata.org/wiki/Q1713","display_name":"Citation","level":2,"score":0.6731711030006409},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6202654242515564},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5707783699035645},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.5193265676498413},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5158095359802246},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.47215795516967773},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.44695931673049927},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.394100546836853},{"id":"https://openalex.org/C161191863","wikidata":"https://www.wikidata.org/wiki/Q199655","display_name":"Library science","level":1,"score":0.23609837889671326},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1918868124485016},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.17997923493385315},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.13435524702072144},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1207784116268158},{"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/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tnse.2020.3022172","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnse.2020.3022172","pdf_url":null,"source":{"id":"https://openalex.org/S2484352698","display_name":"IEEE Transactions on Network Science and Engineering","issn_l":"2327-4697","issn":["2327-4697","2334-329X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Network Science and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W139119103","https://openalex.org/W1678356000","https://openalex.org/W1880262756","https://openalex.org/W1989521566","https://openalex.org/W2013933166","https://openalex.org/W2015186536","https://openalex.org/W2037859435","https://openalex.org/W2043466429","https://openalex.org/W2077353658","https://openalex.org/W2077469664","https://openalex.org/W2082250201","https://openalex.org/W2111836958","https://openalex.org/W2128438887","https://openalex.org/W2129840456","https://openalex.org/W2193014111","https://openalex.org/W2338305720","https://openalex.org/W2344286452","https://openalex.org/W2419556781","https://openalex.org/W2563621803","https://openalex.org/W2574051726","https://openalex.org/W2611062057","https://openalex.org/W2754840697","https://openalex.org/W2765291116","https://openalex.org/W2790063751","https://openalex.org/W2902968984","https://openalex.org/W2923143847","https://openalex.org/W2951851909","https://openalex.org/W3129989289","https://openalex.org/W4231510805","https://openalex.org/W4246135358","https://openalex.org/W6639619044","https://openalex.org/W6687573628","https://openalex.org/W6732261332","https://openalex.org/W6745341484","https://openalex.org/W6760546118","https://openalex.org/W6791106075"],"related_works":["https://openalex.org/W2938786841","https://openalex.org/W2049150502","https://openalex.org/W2982120024","https://openalex.org/W1967500081","https://openalex.org/W2365751862","https://openalex.org/W2172599225","https://openalex.org/W2945191958","https://openalex.org/W4285411252","https://openalex.org/W2176627345","https://openalex.org/W2379531677"],"abstract_inverted_index":{"Finding":[0],"hot":[1,134,198,272],"topics":[2,91,123,199,244,269,292],"in":[3,19,71,92,127,196,200,234,251,273,279,300],"scholarly":[4,31,78,201],"fields":[5],"can":[6],"help":[7],"researchers":[8],"to":[9,25,120,270],"keep":[10],"up":[11],"with":[12,49,139,179],"the":[13,26,65,93,113,122,192,208,226,231,237,241,247,261,267,274,280,284,297],"latest":[14],"concepts,":[15],"trends,":[16],"and":[17,62,108,145,176,184,219],"inventions":[18],"their":[20,50,109],"field":[21,94],"of":[22,28,47,68,95,115,142,157,170,182,211,228],"interest.":[23],"Due":[24],"rarity":[27],"complete":[29],"large-scale":[30],"data,":[32],"earlier":[33],"studies":[34],"target":[35],"this":[36,72],"problem":[37,137],"based":[38],"on":[39,53],"manual":[40],"topic":[41,135,158,171,253],"extraction":[42],"from":[43,80,204],"a":[44,54,76,133],"limited":[45],"number":[46],"domains,":[48],"focus":[51],"solely":[52],"single":[55],"feature":[56],"such":[57,69,214],"as":[58,215,246],"coauthorship,":[59],"citation":[60,110,221],"relations,":[61],"etc.":[63],"Given":[64],"compromised":[66],"effectiveness":[67],"predictions,":[70],"paper":[73],"we":[74,130,166,277],"use":[75],"real":[77],"dataset":[79],"Microsoft":[81],"Academic":[82],"Graph":[83],"[1]":[84],",":[85],"which":[86],"provides":[87,223],"more":[88],"than":[89,230],"12000":[90],"Computer":[96],"Science":[97],"(CS),":[98],"including":[99],"1200":[100],"venues,":[101],"14.4":[102],"million":[103,106],"authors,":[104],"30":[105],"papers,":[107],"relations":[111],"over":[112],"period":[114],"1950":[116],"till":[117],"now.":[118],"Aiming":[119],"find":[121],"that":[124,191,257,293],"will":[125,265,294],"trend":[126,254],"CS":[128,301],"area,":[129],"innovatively":[131],"formalize":[132],"prediction":[136,189],"where,":[138],"joint":[140],"consideration":[141],"both":[143],"inter-,":[144],"intra-topical":[146],"influence,":[147],"17":[148,164],"different":[149],"scientific":[150],"features":[151],"are":[152,306],"extracted":[153],"for":[154],"comprehensive":[155],"description":[156],"status.":[159],"By":[160],"leveraging":[161],"all":[162],"those":[163,258],"features,":[165],"observe":[167],"good":[168],"accuracy":[169],"scale":[172],"forecasting":[173],"after":[174],"5,":[175],"10":[177],"years":[178,283],"$R^2$":[180],"values":[181],"0.9893,":[183],"0.9646,":[185],"respectively.":[186],"Interestingly,":[187],"our":[188,304],"suggests":[190],"maximum":[193,209,217,262],"value":[194,210,233],"matters":[195],"finding":[197],"fields,":[202],"primarily":[203],"three":[205,224],"aspects:":[206],"(1)":[207],"each":[212],"factor,":[213],"authors'":[216],"h-index,":[218],"largest":[220],"number,":[222],"times":[225],"amount":[227],"information":[229],"average":[232],"prediction;":[235],"(2)":[236],"mutual":[238],"influence":[239],"between":[240],"most":[242,248],"correlated":[243,268],"serve":[245],"telling":[249],"factor":[250],"long-term":[252],"prediction,":[255],"interpreting":[256],"currently":[259],"exhibiting":[260],"growth":[263,290],"rates":[264],"drive":[266],"be":[271],"future;":[275],"(3)":[276],"predict":[278],"next":[281],"5":[282],"top":[285],"100":[286],"fastest":[287],"growing":[288],"(maximum":[289],"rate)":[291],"potentially":[295],"get":[296],"major":[298],"attention":[299],"area.":[302],"All":[303],"findings":[305],"further":[307],"demonstrated":[308],"through":[309],"an":[310],"online":[311],"visualization":[312],"system.":[313]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
