{"id":"https://openalex.org/W2964521186","doi":"https://doi.org/10.1109/access.2019.2931592","title":"A Multi-Level Author Name Disambiguation Algorithm","display_name":"A Multi-Level Author Name Disambiguation Algorithm","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2964521186","doi":"https://doi.org/10.1109/access.2019.2931592","mag":"2964521186"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2931592","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2931592","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08778793.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08778793.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101597411","display_name":"Siyang Zhang","orcid":"https://orcid.org/0000-0002-4153-7758"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Siyang Zhang","raw_affiliation_strings":["Peng Cheng Laboratory, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038978738","display_name":"E Xinhua","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinhua E.","raw_affiliation_strings":["Peng Cheng Laboratory, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014799844","display_name":"Tian Pan","orcid":"https://orcid.org/0000-0001-7718-0669"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tian Pan","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101597411"],"corresponding_institution_ids":["https://openalex.org/I4210136793"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.6497,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.85218967,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"7","issue":null,"first_page":"104250","last_page":"104257"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9679999947547913,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.965399980545044,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8341059684753418},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.6754021644592285},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6576784253120422},{"id":"https://openalex.org/keywords/credibility","display_name":"Credibility","score":0.5193780064582825},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4826410412788391},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43890661001205444},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.43801504373550415},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40337634086608887},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34691286087036133},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.29512420296669006}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8341059684753418},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.6754021644592285},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6576784253120422},{"id":"https://openalex.org/C2780224610","wikidata":"https://www.wikidata.org/wiki/Q1530061","display_name":"Credibility","level":2,"score":0.5193780064582825},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4826410412788391},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43890661001205444},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.43801504373550415},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40337634086608887},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34691286087036133},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.29512420296669006},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2931592","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2931592","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08778793.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:97b9bd9c8f4247128c0799e2ba7403d5","is_oa":true,"landing_page_url":"https://doaj.org/article/97b9bd9c8f4247128c0799e2ba7403d5","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 104250-104257 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2931592","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2931592","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08778793.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G328064323","display_name":null,"funder_award_id":"2019RC03","funder_id":"https://openalex.org/F4320321470","funder_display_name":"Beijing University of Posts and Telecommunications"},{"id":"https://openalex.org/G8706190583","display_name":null,"funder_award_id":"NST20180104","funder_id":"https://openalex.org/F4320321470","funder_display_name":"Beijing University of Posts and Telecommunications"},{"id":"https://openalex.org/G8822548604","display_name":null,"funder_award_id":"2018ZX03001019-003","funder_id":"https://openalex.org/F4320321470","funder_display_name":"Beijing University of Posts and Telecommunications"}],"funders":[{"id":"https://openalex.org/F4320321470","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2964521186.pdf","grobid_xml":"https://content.openalex.org/works/W2964521186.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W278081246","https://openalex.org/W1208937987","https://openalex.org/W1490467549","https://openalex.org/W1494366433","https://openalex.org/W1557103245","https://openalex.org/W1978082411","https://openalex.org/W2033626137","https://openalex.org/W2039599657","https://openalex.org/W2118975245","https://openalex.org/W2120623936","https://openalex.org/W2123561513","https://openalex.org/W2129558264","https://openalex.org/W2148019918","https://openalex.org/W2162337786","https://openalex.org/W2587026543","https://openalex.org/W2809279178","https://openalex.org/W2942498978","https://openalex.org/W2957418473","https://openalex.org/W4251529734","https://openalex.org/W6610217719","https://openalex.org/W6629121510","https://openalex.org/W6633578333"],"related_works":["https://openalex.org/W2388687352","https://openalex.org/W1990162851","https://openalex.org/W2370187191","https://openalex.org/W2369854048","https://openalex.org/W2374291020","https://openalex.org/W2355907197","https://openalex.org/W3171042291","https://openalex.org/W2390961115","https://openalex.org/W2388138913","https://openalex.org/W4396769302"],"abstract_inverted_index":{"With":[0],"the":[1,7,15,19,52,55,79,86,89,93,112,137,156],"rapid":[2],"development":[3],"of":[4,14,21,81,88,168],"information":[5,22,83,94],"technology,":[6],"name":[8,57,73,113,128],"ambiguity":[9,74],"problem":[10,53,75,115],"has":[11],"become":[12],"one":[13],"primary":[16],"issues":[17],"in":[18,166],"fields":[20],"retrieval,":[23],"data":[24,39],"mining,":[25],"and":[26,37,91,96,109,146,175],"scientific":[27],"measurement.":[28],"Name":[29],"disambiguation":[30,114,129],"is":[31,116,133],"used":[32],"to":[33,46,50,59],"promote":[34],"computer":[35],"technology":[36],"big":[38],"information,":[40],"which":[41,140],"maps":[42],"virtual":[43],"relational":[44],"networks":[45,49],"real":[47],"social":[48],"solve":[51],"that":[54,155],"same":[56],"points":[58],"multiple":[60],"entities.":[61],"At":[62],"present":[63],"many":[64],"literature":[65],"search":[66],"platforms":[67],"launched":[68],"their":[69],"respective":[70],"scholar":[71],"system,":[72,90],"will":[76],"inevitably":[77],"affect":[78,92],"precision":[80],"other":[82],"calculations,":[84],"reduce":[85],"credibility":[87],"quality":[95],"content":[97],"quality.":[98],"Most":[99],"work":[100],"deals":[101],"with":[102],"this":[103,122],"issue":[104],"by":[105],"using":[106],"graph":[107,147],"theory":[108,148],"clustering.":[110],"However,":[111],"still":[117],"not":[118],"well":[119],"resolved.":[120],"In":[121],"paper,":[123],"we":[124],"propose":[125],"a":[126],"multi-level":[127],"algorithm.":[130],"This":[131],"algorithm":[132],"mainly":[134],"based":[135],"on":[136],"unsupervised":[138],"algorithm,":[139],"combines":[141],"hierarchical":[142],"agglomerative":[143],"clustering":[144],"(HAC)":[145],"for":[149],"disambiguating.":[150],"The":[151],"experimental":[152],"results":[153],"show":[154],"proposed":[157],"solution":[158],"achieves":[159],"clearly":[160],"better":[161],"performance":[162],"(+17":[163],"~":[164],"25%":[165],"terms":[167],"F1-Measure)":[169],"than":[170],"several":[171],"methods,":[172],"including":[173],"HAC":[174],"Graph.":[176]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
