{"id":"https://openalex.org/W2010297342","doi":"https://doi.org/10.1109/tcbb.2014.2330579","title":"Prediction and Informative Risk Factor Selection of Bone Diseases","display_name":"Prediction and Informative Risk Factor Selection of Bone Diseases","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2010297342","doi":"https://doi.org/10.1109/tcbb.2014.2330579","mag":"2010297342","pmid":"https://pubmed.ncbi.nlm.nih.gov/26357080"},"language":"en","primary_location":{"id":"doi:10.1109/tcbb.2014.2330579","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcbb.2014.2330579","pdf_url":null,"source":{"id":"https://openalex.org/S36029991","display_name":"IEEE Transactions on Computational Biology and Bioinformatics","issn_l":"1545-5963","issn":["1545-5963","1557-9964","2374-0043","2998-4165"],"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/ACM Transactions on Computational Biology and Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100423976","display_name":"Hui Li","orcid":"https://orcid.org/0000-0003-3139-2898"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hui Li","raw_affiliation_strings":["Department of Computer Science and Engineering, State University of New York at Buffalo, Buffalo, NY","Department of Computer Science & Engineering, State University of New York at Buffalo, Buffalo, NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, State University of New York at Buffalo, Buffalo, NY","institution_ids":["https://openalex.org/I63190737"]},{"raw_affiliation_string":"Department of Computer Science & Engineering, State University of New York at Buffalo, Buffalo, NY","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100713499","display_name":"LI Xiao-yi","orcid":"https://orcid.org/0000-0002-5560-3795"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaoyi Li","raw_affiliation_strings":["Department of Computer Science and Engineering, State University of New York at Buffalo, Buffalo, NY","Department of Computer Science & Engineering, State University of New York at Buffalo, Buffalo, NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, State University of New York at Buffalo, Buffalo, NY","institution_ids":["https://openalex.org/I63190737"]},{"raw_affiliation_string":"Department of Computer Science & Engineering, State University of New York at Buffalo, Buffalo, NY","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002609733","display_name":"Murali Ramanathan","orcid":"https://orcid.org/0000-0002-9943-150X"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Murali Ramanathan","raw_affiliation_strings":["Department of Pharmaceutical Sciences, State University of New York at Buffalo, Buffalo, NY","Department of Pharmaceutical Sciences, State University of New York at Buffalo, Buffalo, NY;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Pharmaceutical Sciences, State University of New York at Buffalo, Buffalo, NY","institution_ids":["https://openalex.org/I63190737"]},{"raw_affiliation_string":"Department of Pharmaceutical Sciences, State University of New York at Buffalo, Buffalo, NY;","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013588572","display_name":"Aidong Zhang","orcid":"https://orcid.org/0000-0001-9723-3246"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aidong Zhang","raw_affiliation_strings":["Department of Computer Science and Engineering, State University of New York at Buffalo, Buffalo, NY","Department of Computer Science & Engineering, State University of New York at Buffalo, Buffalo, NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, State University of New York at Buffalo, Buffalo, NY","institution_ids":["https://openalex.org/I63190737"]},{"raw_affiliation_string":"Department of Computer Science & Engineering, State University of New York at Buffalo, Buffalo, NY","institution_ids":["https://openalex.org/I63190737"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I63190737"],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":3.8427,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.93649598,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"12","issue":"1","first_page":"79","last_page":"91"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9819999933242798,"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"}},"topics":[{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9819999933242798,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9799000024795532,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9787999987602234,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6523586511611938},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.6453414559364319},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5587166547775269},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5192123055458069},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5119098424911499},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.507798969745636},{"id":"https://openalex.org/keywords/risk-factor","display_name":"Risk factor","score":0.4346344769001007},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.4271789789199829},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4236880838871002},{"id":"https://openalex.org/keywords/risk-analysis","display_name":"Risk analysis (engineering)","score":0.39869266748428345},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38563787937164307},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3733660578727722},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3669837713241577},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3296317160129547},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.10338947176933289}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6523586511611938},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.6453414559364319},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5587166547775269},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5192123055458069},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5119098424911499},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.507798969745636},{"id":"https://openalex.org/C50440223","wikidata":"https://www.wikidata.org/wiki/Q1475848","display_name":"Risk factor","level":2,"score":0.4346344769001007},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.4271789789199829},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4236880838871002},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.39869266748428345},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38563787937164307},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3733660578727722},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3669837713241577},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3296317160129547},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.10338947176933289},{"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},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001847","descriptor_name":"Bone Diseases","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false},{"descriptor_ui":"D001847","descriptor_name":"Bone Diseases","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false},{"descriptor_ui":"D001847","descriptor_name":"Bone Diseases","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011446","descriptor_name":"Prospective Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011446","descriptor_name":"Prospective Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011446","descriptor_name":"Prospective Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012307","descriptor_name":"Risk Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012307","descriptor_name":"Risk Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012307","descriptor_name":"Risk Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tcbb.2014.2330579","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcbb.2014.2330579","pdf_url":null,"source":{"id":"https://openalex.org/S36029991","display_name":"IEEE Transactions on Computational Biology and Bioinformatics","issn_l":"1545-5963","issn":["1545-5963","1557-9964","2374-0043","2998-4165"],"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/ACM Transactions on Computational Biology and Bioinformatics","raw_type":"journal-article"},{"id":"pmid:26357080","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26357080","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/ACM transactions on computational biology and bioinformatics","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W66838807","https://openalex.org/W1503365659","https://openalex.org/W1522211256","https://openalex.org/W1547132634","https://openalex.org/W1606640098","https://openalex.org/W1963079441","https://openalex.org/W1965555277","https://openalex.org/W1971873204","https://openalex.org/W1973253383","https://openalex.org/W1973445088","https://openalex.org/W2007426484","https://openalex.org/W2008353316","https://openalex.org/W2013150772","https://openalex.org/W2021787191","https://openalex.org/W2041389007","https://openalex.org/W2042492924","https://openalex.org/W2045103143","https://openalex.org/W2050569380","https://openalex.org/W2053724458","https://openalex.org/W2054814877","https://openalex.org/W2057096224","https://openalex.org/W2064630666","https://openalex.org/W2075779886","https://openalex.org/W2075940779","https://openalex.org/W2083991269","https://openalex.org/W2084975948","https://openalex.org/W2100495367","https://openalex.org/W2104167780","https://openalex.org/W2136903812","https://openalex.org/W2136922672","https://openalex.org/W2138459078","https://openalex.org/W2138857742","https://openalex.org/W2139796029","https://openalex.org/W2171699388","https://openalex.org/W2323830513","https://openalex.org/W2549349192","https://openalex.org/W2606321545","https://openalex.org/W4382623728","https://openalex.org/W6640977910","https://openalex.org/W6664357448","https://openalex.org/W6680202767","https://openalex.org/W6680300913","https://openalex.org/W6680338004"],"related_works":["https://openalex.org/W2366107444","https://openalex.org/W4388145910","https://openalex.org/W2381570729","https://openalex.org/W1976205134","https://openalex.org/W4248336175","https://openalex.org/W2031260042","https://openalex.org/W2391445434","https://openalex.org/W3009369890","https://openalex.org/W4312490297","https://openalex.org/W2062212388"],"abstract_inverted_index":{"With":[0],"the":[1,7,39,42,47,50,69,75,84,106,158,175],"booming":[2],"of":[3,10,24,41,49,98,132,137],"healthcare":[4,17],"industry":[5],"and":[6,19,109,118,156,183,191],"overwhelming":[8],"amount":[9],"electronic":[11],"health":[12],"records":[13],"(EHRs)":[14],"shared":[15],"by":[16],"institutions":[18],"practitioners,":[20],"we":[21,88],"take":[22],"advantage":[23],"EHR":[25,86,107],"data":[26,108,171],"to":[27,93,114,152,193],"develop":[28,124],"an":[29,95],"effective":[30],"disease":[31,51,54,170],"risk":[32,48,103,129,161,186],"management":[33],"model":[34,73],"that":[35,174,188],"not":[36],"only":[37],"models":[38,59,138],"progression":[40],"disease,":[43],"but":[44],"also":[45,123],"predicts":[46],"for":[52,60,127,139],"early":[53],"control":[55],"or":[56,74],"prevention.":[57],"Existing":[58],"answering":[61],"these":[62,111],"questions":[63],"usually":[64],"fall":[65],"into":[66],"two":[67,140],"categories:":[68],"expert":[70],"knowledge":[71],"based":[72,79],"handcrafted":[76],"feature":[77],"set":[78,172],"model.":[80],"To":[81],"fully":[82],"utilize":[83],"whole":[85],"data,":[87],"will":[89,122,149],"build":[90],"a":[91,125,167],"framework":[92,126,177],"construct":[94],"integrated":[96,112],"representation":[97],"features":[99,113],"from":[100],"all":[101],"available":[102],"factors":[104,187],"in":[105],"use":[110],"effectively":[115],"predict":[116,180],"osteoporosis":[117],"bone":[119,133,169,181],"fractures.":[120],"We":[121],"informative":[128,160,185],"factor":[130],"selection":[131],"diseases.":[134],"A":[135],"pair":[136],"contrast":[141],"cohorts":[142],"(e.g.,":[143],"diseased":[144],"patients":[145],"versus":[146],"non-diseased":[147],"patients)":[148],"be":[150],"established":[151],"discriminate":[153],"their":[154],"characteristics":[155],"find":[157],"most":[159],"factors.":[162],"Several":[163],"empirical":[164],"results":[165],"on":[166],"real":[168],"show":[173],"proposed":[176],"can":[178],"successfully":[179],"diseases":[182],"select":[184],"are":[189],"beneficial":[190],"useful":[192],"guide":[194],"clinical":[195],"decisions.":[196]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":5}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}