{"id":"https://openalex.org/W2133501180","doi":"https://doi.org/10.1631/fitee.1400394","title":"Using heterogeneous patent network features to rank and discover influential inventors","display_name":"Using heterogeneous patent network features to rank and discover influential inventors","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W2133501180","doi":"https://doi.org/10.1631/fitee.1400394","mag":"2133501180"},"language":"en","primary_location":{"id":"doi:10.1631/fitee.1400394","is_oa":false,"landing_page_url":"https://doi.org/10.1631/fitee.1400394","pdf_url":null,"source":{"id":"https://openalex.org/S4210189857","display_name":"Frontiers of Information Technology & Electronic Engineering","issn_l":"2095-9184","issn":["2095-9184","2095-9230"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers of Information Technology & Electronic 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/A5007940049","display_name":"Yongping Du","orcid":"https://orcid.org/0000-0001-6867-2063"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yong-ping Du","raw_affiliation_strings":["College of Computer Science, Beijing University of Technology, Beijing, 100124, China","Beijing University of Technology"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Beijing University of Technology, Beijing, 100124, China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Beijing University of Technology","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021307464","display_name":"Changqing Yao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210104311","display_name":"Institute of Scientific and Technical Information of China","ror":"https://ror.org/01b2av652","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210104311","https://openalex.org/I4210120069","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang-qing Yao","raw_affiliation_strings":["Institute of Scientific and Technical Information of China, Beijing, 100038, China","Institute of Scientific and Technical Information of China"],"affiliations":[{"raw_affiliation_string":"Institute of Scientific and Technical Information of China, Beijing, 100038, China","institution_ids":["https://openalex.org/I4210104311"]},{"raw_affiliation_string":"Institute of Scientific and Technical Information of China","institution_ids":["https://openalex.org/I4210104311"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100341082","display_name":"Nan Li","orcid":"https://orcid.org/0000-0002-8248-9027"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nan Li","raw_affiliation_strings":["College of Computer Science, Beijing University of Technology, Beijing, 100124, China","Beijing University of Technology"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Beijing University of Technology, Beijing, 100124, China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Beijing University of Technology","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5007940049"],"corresponding_institution_ids":["https://openalex.org/I37796252"],"apc_list":null,"apc_paid":null,"fwci":1.4283,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.81867905,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"16","issue":"7","first_page":"568","last_page":"578"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9878000020980835,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9878000020980835,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9605000019073486,"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/T11948","display_name":"Machine Learning in Materials Science","score":0.9340999722480774,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/sort","display_name":"sort","score":0.800624430179596},{"id":"https://openalex.org/keywords/pagerank","display_name":"PageRank","score":0.7193512916564941},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6971426010131836},{"id":"https://openalex.org/keywords/sorting","display_name":"Sorting","score":0.5601788759231567},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.548759937286377},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.49487632513046265},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4624922573566437},{"id":"https://openalex.org/keywords/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.4530066251754761},{"id":"https://openalex.org/keywords/heterogeneous-network","display_name":"Heterogeneous network","score":0.4284837543964386},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4122255742549896},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.41079550981521606},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4046117663383484},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2819754481315613},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2530643343925476},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.2501000463962555},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20891830325126648},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.18788862228393555},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.1468724012374878},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.08224397897720337}],"concepts":[{"id":"https://openalex.org/C88548561","wikidata":"https://www.wikidata.org/wiki/Q347599","display_name":"sort","level":2,"score":0.800624430179596},{"id":"https://openalex.org/C2779172887","wikidata":"https://www.wikidata.org/wiki/Q184316","display_name":"PageRank","level":2,"score":0.7193512916564941},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6971426010131836},{"id":"https://openalex.org/C111696304","wikidata":"https://www.wikidata.org/wiki/Q2303697","display_name":"Sorting","level":2,"score":0.5601788759231567},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.548759937286377},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.49487632513046265},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4624922573566437},{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.4530066251754761},{"id":"https://openalex.org/C158207573","wikidata":"https://www.wikidata.org/wiki/Q5747224","display_name":"Heterogeneous network","level":4,"score":0.4284837543964386},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4122255742549896},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.41079550981521606},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4046117663383484},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2819754481315613},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2530643343925476},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2501000463962555},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20891830325126648},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.18788862228393555},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.1468724012374878},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.08224397897720337},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1631/fitee.1400394","is_oa":false,"landing_page_url":"https://doi.org/10.1631/fitee.1400394","pdf_url":null,"source":{"id":"https://openalex.org/S4210189857","display_name":"Frontiers of Information Technology & Electronic Engineering","issn_l":"2095-9184","issn":["2095-9184","2095-9230"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers of Information Technology & Electronic Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4473336318","display_name":null,"funder_award_id":"IIPL-2014-004","funder_id":"https://openalex.org/F4320332588","funder_display_name":"Shanghai Key Laboratory of Intelligent Information Processing"},{"id":"https://openalex.org/G6657394803","display_name":null,"funder_award_id":"4153058","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"}],"funders":[{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null},{"id":"https://openalex.org/F4320332588","display_name":"Shanghai Key Laboratory of Intelligent Information Processing","ror":"https://ror.org/013q1eq08"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1880262756","https://openalex.org/W1975563293","https://openalex.org/W2035411645","https://openalex.org/W2054902217","https://openalex.org/W2058990271","https://openalex.org/W2064393099","https://openalex.org/W2066636486","https://openalex.org/W2101599977","https://openalex.org/W2102760139","https://openalex.org/W2107743791","https://openalex.org/W2113146646","https://openalex.org/W2128438887","https://openalex.org/W2138621811","https://openalex.org/W2147539501","https://openalex.org/W2168175183","https://openalex.org/W2174706414","https://openalex.org/W4233135949","https://openalex.org/W6639619044"],"related_works":["https://openalex.org/W2154222238","https://openalex.org/W3126382579","https://openalex.org/W2095055219","https://openalex.org/W2482527088","https://openalex.org/W2362374543","https://openalex.org/W2116295091","https://openalex.org/W4319430205","https://openalex.org/W3121711078","https://openalex.org/W2085265870","https://openalex.org/W2348196682"],"abstract_inverted_index":{"Most":[0],"classic":[1],"network":[2,75],"entity":[3],"sorting":[4],"algorithms":[5],"are":[6,14],"implemented":[7],"in":[8,31,52,134,166],"a":[9,18,64,84,96,103,112],"homogeneous":[10],"network,":[11,137],"and":[12,28,81,88,143,149,169],"they":[13],"not":[15],"applicable":[16],"to":[17,45],"heterogeneous":[19,53,136],"network.":[20],"Registered":[21],"patent":[22,50,59,167],"history":[23],"data":[24],"denotes":[25],"the":[26,29,47,72,79,89,120,132,135,139,144,147,150,161],"innovations":[27],"achievements":[30],"different":[32],"research":[33],"fields.":[34],"In":[35],"this":[36],"paper,":[37],"we":[38],"present":[39],"an":[40],"iteration":[41],"algorithm":[42,90],"called":[43],"inventor-ranking,":[44],"sort":[46,78],"influences":[48],"of":[49,71,74,86,106,131],"inventors":[51,80,142,162],"networks":[54],"constructed":[55],"based":[56],"on":[57],"their":[58],"data.":[60],"This":[61],"approach":[62,127],"is":[63],"flexible":[65],"rule-based":[66],"method,":[67],"making":[68],"full":[69,129],"use":[70],"features":[73],"topology.":[76],"We":[77,100],"patents":[82],"by":[83],"set":[85],"rules,":[87],"iterates":[91],"continuously":[92],"until":[93],"it":[94,171],"meets":[95],"certain":[97],"convergence":[98],"condition.":[99],"also":[101],"give":[102],"detailed":[104],"analysis":[105],"influential":[107],"inventor\u2019s":[108],"interesting":[109],"topics":[110],"using":[111],"latent":[113],"Dirichlet":[114],"allocation":[115],"(LDA)":[116],"model.":[117],"Compared":[118],"with":[119,163],"traditional":[121],"methods":[122],"such":[123],"as":[124],"PageRank,":[125],"our":[126,156],"takes":[128],"advantage":[130],"information":[133],"including":[138],"relationship":[140,145],"between":[141,146],"inventor":[148],"patent.":[151],"Experimental":[152],"results":[153],"show":[154],"that":[155,170],"method":[157],"can":[158],"effectively":[159],"identify":[160],"high":[164],"influence":[165],"data,":[168],"converges":[172],"faster":[173],"than":[174],"PageRank.":[175]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3}],"updated_date":"2026-04-12T07:58:50.170612","created_date":"2025-10-10T00:00:00"}