{"id":"https://openalex.org/W2798916611","doi":"https://doi.org/10.1145/3184558.3186901","title":"Identifying Your Representative Work Based on Credit Allocation","display_name":"Identifying Your Representative Work Based on Credit Allocation","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2798916611","doi":"https://doi.org/10.1145/3184558.3186901","mag":"2798916611"},"language":"en","primary_location":{"id":"doi:10.1145/3184558.3186901","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3184558.3186901","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=3186901&type=pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion of the The Web Conference 2018 on The Web Conference 2018 - WWW '18","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://dl.acm.org/ft_gateway.cfm?id=3186901&type=pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101687575","display_name":"Peng Bao","orcid":"https://orcid.org/0000-0002-1761-3060"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Bao","raw_affiliation_strings":["Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100446916","display_name":"Jiahui Wang","orcid":"https://orcid.org/0000-0002-6438-1506"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahui Wang","raw_affiliation_strings":["Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":1.2452,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.81472025,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"5","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9962000250816345,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9962000250816345,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9900000095367432,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9778000116348267,"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/relevance","display_name":"Relevance (law)","score":0.795802116394043},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7011188864707947},{"id":"https://openalex.org/keywords/promotion","display_name":"Promotion (chess)","score":0.6775060892105103},{"id":"https://openalex.org/keywords/citation","display_name":"Citation","score":0.6773233413696289},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.6084288954734802},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5981544852256775},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5631839632987976},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4685939848423004},{"id":"https://openalex.org/keywords/management-science","display_name":"Management science","score":0.36624768376350403},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.35836905241012573},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32336321473121643},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1314871609210968},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.12492495775222778},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.08480629324913025}],"concepts":[{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.795802116394043},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7011188864707947},{"id":"https://openalex.org/C98147612","wikidata":"https://www.wikidata.org/wiki/Q215599","display_name":"Promotion (chess)","level":3,"score":0.6775060892105103},{"id":"https://openalex.org/C2778805511","wikidata":"https://www.wikidata.org/wiki/Q1713","display_name":"Citation","level":2,"score":0.6773233413696289},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.6084288954734802},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5981544852256775},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5631839632987976},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4685939848423004},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.36624768376350403},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.35836905241012573},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32336321473121643},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1314871609210968},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.12492495775222778},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.08480629324913025},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3184558.3186901","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3184558.3186901","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=3186901&type=pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion of the The Web Conference 2018 on The Web Conference 2018 - WWW '18","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3184558.3186901","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3184558.3186901","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=3186901&type=pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion of the The Web Conference 2018 on The Web Conference 2018 - WWW '18","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals"}],"awards":[{"id":"https://openalex.org/G1262980747","display_name":null,"funder_award_id":"2015RC031","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G5350984707","display_name":null,"funder_award_id":"61702031","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2798916611.pdf","grobid_xml":"https://content.openalex.org/works/W2798916611.grobid-xml"},"referenced_works_count":7,"referenced_works":["https://openalex.org/W2037997493","https://openalex.org/W2066636486","https://openalex.org/W2124689612","https://openalex.org/W2219466445","https://openalex.org/W2460601695","https://openalex.org/W2547045893","https://openalex.org/W2592401802"],"related_works":["https://openalex.org/W2085384747","https://openalex.org/W2088166309","https://openalex.org/W1891216533","https://openalex.org/W4312133475","https://openalex.org/W4238976562","https://openalex.org/W2276587472","https://openalex.org/W2615795876","https://openalex.org/W2049612369","https://openalex.org/W2770872919","https://openalex.org/W4214571255"],"abstract_inverted_index":{"With":[0],"the":[1,9,15,19,53,63,74,88,97,101,107,113,119],"rapid":[2],"development":[3],"of":[4,11,13,22,32,56,65,78,99,106],"scientific":[5],"impact":[6],"quantification":[7],"in":[8,28,96],"field":[10],"science":[12],"success,":[14],"ability":[16],"to":[17,70],"identify":[18],"representative":[20,54],"work":[21,55],"a":[23,29,45,57,66],"researcher":[24],"has":[25],"important":[26],"implications":[27],"wide":[30],"range":[31],"areas,":[33],"including":[34],"hiring,":[35],"funding,":[36],"and":[37,73],"promotion":[38],"systems.":[39],"In":[40],"this":[41],"paper,":[42,67],"we":[43],"propose":[44],"two-step":[46],"credit":[47],"allocation":[48],"algorithm":[49,60,115],"(TSCA)":[50],"for":[51],"identifying":[52,100],"researcher.":[58],"This":[59],"explicitly":[61],"captures":[62],"importance":[64],"its":[68],"relevance":[69],"other":[71],"papers,":[72],"unequally":[75],"distributed":[76],"contribution":[77],"each":[79],"citation.":[80],"We":[81],"validate":[82],"TSCA":[83],"by":[84],"applying":[85],"it":[86],"on":[87],"citation":[89],"data":[90],"from":[91],"American":[92],"Physical":[93],"Society":[94],"(APS)":[95],"scenario":[98],"Nobel":[102,108],"prize":[103],"winning":[104],"papers":[105],"laureates.":[109],"Experiments":[110],"demonstrate":[111],"that":[112],"proposed":[114],"can":[116],"significantly":[117],"outperform":[118],"existing":[120],"methods.":[121]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
