{"id":"https://openalex.org/W2369976370","doi":"https://doi.org/10.1109/tpami.2015.2477832","title":"Multi-Graph Matching via Affinity Optimization with Graduated Consistency Regularization","display_name":"Multi-Graph Matching via Affinity Optimization with Graduated Consistency Regularization","publication_year":2015,"publication_date":"2015-09-11","ids":{"openalex":"https://openalex.org/W2369976370","doi":"https://doi.org/10.1109/tpami.2015.2477832","mag":"2369976370","pmid":"https://pubmed.ncbi.nlm.nih.gov/26372208"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2015.2477832","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2015.2477832","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1502.05840","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087158377","display_name":"Junchi Yan","orcid":"https://orcid.org/0000-0001-9639-7679"},"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":"Junchi Yan","raw_affiliation_strings":["IBM Research","Shanghai Key Laboratory of Media Processing and Transmission, Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research","institution_ids":[]},{"raw_affiliation_string":"Shanghai Key Laboratory of Media Processing and Transmission, Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101998656","display_name":"Minsu Cho","orcid":"https://orcid.org/0000-0003-2498-1109"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Minsu Cho","raw_affiliation_strings":["WILLOW team of INRIA/Ecole Normale Superieure, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"WILLOW team of INRIA/Ecole Normale Superieure, Paris, France","institution_ids":["https://openalex.org/I1326498283"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046703129","display_name":"Hongyuan Zha","orcid":"https://orcid.org/0000-0001-7493-0911"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]},{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Hongyuan Zha","raw_affiliation_strings":["School of Computational Science and Engineering, College of Computing, Georgia Institute of Technology, Atlanta, Georgia","Software Engineering Institute, East China Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computational Science and Engineering, College of Computing, Georgia Institute of Technology, Atlanta, Georgia","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Software Engineering Institute, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019708391","display_name":"Xiaokang Yang","orcid":"https://orcid.org/0000-0003-4029-3322"},"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":"Xiaokang Yang","raw_affiliation_strings":["Shanghai Key Laboratory of Media Processing and Transmission, Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Media Processing and Transmission, Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113805086","display_name":"Stephen M. Chu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Stephen M. Chu","raw_affiliation_strings":["IBM T.J. Watson Research Center"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM T.J. Watson Research Center","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":14.8853,"has_fulltext":false,"cited_by_count":179,"citation_normalized_percentile":{"value":0.99334882,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"38","issue":"6","first_page":"1228","last_page":"1242"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9998999834060669,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9998999834060669,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9952999949455261,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9934999942779541,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.788382887840271},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6509124636650085},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5815207958221436},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5730571746826172},{"id":"https://openalex.org/keywords/local-consistency","display_name":"Local consistency","score":0.568199634552002},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5187990069389343},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49366721510887146},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.46212196350097656},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4133978486061096},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3780410587787628},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36854884028434753},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35334911942481995},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.29125502705574036},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09192359447479248},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.08149459958076477}],"concepts":[{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.788382887840271},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6509124636650085},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5815207958221436},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5730571746826172},{"id":"https://openalex.org/C137105694","wikidata":"https://www.wikidata.org/wiki/Q3407510","display_name":"Local consistency","level":4,"score":0.568199634552002},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5187990069389343},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49366721510887146},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.46212196350097656},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4133978486061096},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3780410587787628},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36854884028434753},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35334911942481995},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.29125502705574036},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09192359447479248},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.08149459958076477},{"id":"https://openalex.org/C44616089","wikidata":"https://www.wikidata.org/wiki/Q30158686","display_name":"Constraint satisfaction","level":3,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tpami.2015.2477832","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2015.2477832","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:26372208","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26372208","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null},{"id":"pmh:oai:arXiv.org:1502.05840","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1502.05840","pdf_url":"https://arxiv.org/pdf/1502.05840","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:oasis.postech.ac.kr:2014.oak/36784","is_oa":false,"landing_page_url":"https://oasis.postech.ac.kr/handle/2014.oak/36784","pdf_url":null,"source":{"id":"https://openalex.org/S4306401965","display_name":"Open Access System for Information Sharing (Pohang University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I123900574","host_organization_name":"Pohang University of Science and Technology","host_organization_lineage":["https://openalex.org/I123900574"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1502.05840","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1502.05840","pdf_url":"https://arxiv.org/pdf/1502.05840","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2191129598","display_name":null,"funder_award_id":"15JC1401700","funder_id":"https://openalex.org/F4320321885","funder_display_name":"Science and Technology Commission of Shanghai Municipality"},{"id":"https://openalex.org/G2863414432","display_name":null,"funder_award_id":"R01 GM108341","funder_id":"https://openalex.org/F4320337354","funder_display_name":"National Institute of General Medical Sciences"},{"id":"https://openalex.org/G4892476598","display_name":null,"funder_award_id":"61221001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5291096239","display_name":null,"funder_award_id":"14XD1402100","funder_id":"https://openalex.org/F4320321885","funder_display_name":"Science and Technology Commission of Shanghai Municipality"},{"id":"https://openalex.org/G5645176473","display_name":null,"funder_award_id":"61129001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G611861907","display_name":null,"funder_award_id":"DMS-1317424","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G639214180","display_name":null,"funder_award_id":"61527804","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7478501717","display_name":null,"funder_award_id":"13511504501","funder_id":"https://openalex.org/F4320321885","funder_display_name":"Science and Technology Commission of Shanghai Municipality"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321885","display_name":"Science and Technology Commission of Shanghai Municipality","ror":"https://ror.org/03kt66j61"},{"id":"https://openalex.org/F4320337354","display_name":"National Institute of General Medical Sciences","ror":"https://ror.org/04q48ey07"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":68,"referenced_works":["https://openalex.org/W11618421","https://openalex.org/W1484721950","https://openalex.org/W1585302011","https://openalex.org/W1587878450","https://openalex.org/W1744214816","https://openalex.org/W1785295261","https://openalex.org/W1866515447","https://openalex.org/W1901379498","https://openalex.org/W1967929832","https://openalex.org/W1974672137","https://openalex.org/W1976466396","https://openalex.org/W1983186008","https://openalex.org/W1992887861","https://openalex.org/W1998840160","https://openalex.org/W2005720384","https://openalex.org/W2010203455","https://openalex.org/W2040504527","https://openalex.org/W2057455870","https://openalex.org/W2076080556","https://openalex.org/W2077678691","https://openalex.org/W2079272365","https://openalex.org/W2084512390","https://openalex.org/W2085261163","https://openalex.org/W2087433650","https://openalex.org/W2097784989","https://openalex.org/W2099897767","https://openalex.org/W2103375950","https://openalex.org/W2107855892","https://openalex.org/W2108182844","https://openalex.org/W2109294083","https://openalex.org/W2110056533","https://openalex.org/W2111977969","https://openalex.org/W2118104180","https://openalex.org/W2121225280","https://openalex.org/W2122961704","https://openalex.org/W2124123435","https://openalex.org/W2126448214","https://openalex.org/W2138910149","https://openalex.org/W2141903416","https://openalex.org/W2142726150","https://openalex.org/W2143133882","https://openalex.org/W2145634381","https://openalex.org/W2150760714","https://openalex.org/W2151975094","https://openalex.org/W2152953631","https://openalex.org/W2158256890","https://openalex.org/W2159537329","https://openalex.org/W2166820607","https://openalex.org/W2168961536","https://openalex.org/W2187542828","https://openalex.org/W2251436415","https://openalex.org/W2255320195","https://openalex.org/W2343970360","https://openalex.org/W2542889218","https://openalex.org/W2950670108","https://openalex.org/W2963655172","https://openalex.org/W3015751240","https://openalex.org/W3121235808","https://openalex.org/W4230371388","https://openalex.org/W4233901445","https://openalex.org/W4240492454","https://openalex.org/W4243493583","https://openalex.org/W6628852983","https://openalex.org/W6637760914","https://openalex.org/W6638936255","https://openalex.org/W6676075050","https://openalex.org/W6682136732","https://openalex.org/W6682759379"],"related_works":["https://openalex.org/W2012002580","https://openalex.org/W2029032313","https://openalex.org/W4315563560","https://openalex.org/W2553559590","https://openalex.org/W1592998112","https://openalex.org/W1965377399","https://openalex.org/W1510768092","https://openalex.org/W2772061936","https://openalex.org/W2143990275","https://openalex.org/W2611003898"],"abstract_inverted_index":{"This":[0,20,93],"paper":[1,94],"addresses":[2],"the":[3,29,39,45,48,60,65,98,109,115,133,138,144,153,166],"problem":[4,23],"of":[5,36,47,67,168],"matching":[6,22,32,41,61,74,101,129],"common":[7,154],"node":[8],"correspondences":[9],"among":[10],"multiple":[11],"graphs":[12],"referring":[13],"to":[14,120,131,151],"an":[15,68],"identical":[16],"or":[17,83,122],"related":[18],"structure.":[19],"multi-graph":[21,128],"involves":[24],"two":[25,91,134,149],"correlated":[26],"components:":[27],"i)":[28],"local":[30],"pairwise":[31,49],"affinity":[33,85,110,139],"across":[34,80],"pairs":[35],"graphs;":[37],"ii)":[38],"global":[40],"consistency":[42,62,88,102],"that":[43,100],"measures":[44],"uniqueness":[46],"matchings":[50],"by":[51,97,136],"different":[52],"composition":[53],"orders.":[54],"Previous":[55],"studies":[56],"typically":[57],"either":[58],"enforce":[59],"constraints":[63],"in":[64,108],"beginning":[66],"iterative":[69],"optimization,":[70],"which":[71],"may":[72],"propagate":[73],"error":[75],"both":[76],"over":[77],"iterations":[78],"and":[79,87,162],"graph":[81],"pairs;":[82],"separate":[84],"optimization":[86],"enforcement":[89],"into":[90],"steps.":[92],"is":[95,117],"motivated":[96],"observation":[99],"can":[103],"serve":[104],"as":[105],"a":[106],"regularizer":[107],"objective":[111],"function":[112,116],"especially":[113],"when":[114],"biased":[118],"due":[119],"noises":[121],"inappropriate":[123],"modeling.":[124],"We":[125,146],"propose":[126,148],"composition-based":[127],"methods":[130],"incorporate":[132],"aspects":[135],"optimizing":[137],"score,":[140],"meanwhile":[141],"gradually":[142],"infusing":[143],"consistency.":[145],"also":[147],"mechanisms":[150],"elicit":[152],"inliers":[155],"against":[156],"outliers.":[157],"Compelling":[158],"results":[159],"on":[160],"synthetic":[161],"real":[163],"images":[164],"show":[165],"competency":[167],"our":[169],"algorithms.":[170]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":15},{"year":2021,"cited_by_count":20},{"year":2020,"cited_by_count":32},{"year":2019,"cited_by_count":29},{"year":2018,"cited_by_count":30},{"year":2017,"cited_by_count":17},{"year":2016,"cited_by_count":9},{"year":2015,"cited_by_count":7}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}
