{"id":"https://openalex.org/W3104825134","doi":"https://doi.org/10.1109/tgrs.2020.3034373","title":"Land-Use/Land-Cover Change Detection Based on Class-Prior Object-Oriented Conditional Random Field Framework for High Spatial Resolution Remote Sensing Imagery","display_name":"Land-Use/Land-Cover Change Detection Based on Class-Prior Object-Oriented Conditional Random Field Framework for High Spatial Resolution Remote Sensing Imagery","publication_year":2020,"publication_date":"2020-11-13","ids":{"openalex":"https://openalex.org/W3104825134","doi":"https://doi.org/10.1109/tgrs.2020.3034373","mag":"3104825134"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2020.3034373","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2020.3034373","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","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/A5086767688","display_name":"Sunan Shi","orcid":"https://orcid.org/0000-0002-0769-5859"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sunan Shi","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","Hubei Provincial Engineering Research Center of Natural Resources Remote Sensing Monitoring, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-0769-5859","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]},{"raw_affiliation_string":"Hubei Provincial Engineering Research Center of Natural Resources Remote Sensing Monitoring, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100754351","display_name":"Yanfei Zhong","orcid":"https://orcid.org/0000-0001-9446-5850"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanfei Zhong","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","Hubei Provincial Engineering Research Center of Natural Resources Remote Sensing Monitoring, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-9446-5850","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]},{"raw_affiliation_string":"Hubei Provincial Engineering Research Center of Natural Resources Remote Sensing Monitoring, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041081010","display_name":"Ji Zhao","orcid":"https://orcid.org/0000-0001-9039-2789"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ji Zhao","raw_affiliation_strings":["College of Computer Science, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-9039-2789","affiliations":[{"raw_affiliation_string":"College of Computer Science, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029735814","display_name":"Pengyuan Lv","orcid":"https://orcid.org/0000-0002-8394-0078"},"institutions":[{"id":"https://openalex.org/I21642278","display_name":"Ningxia University","ror":"https://ror.org/04j7b2v61","country_code":"CN","type":"education","lineage":["https://openalex.org/I21642278"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengyuan Lv","raw_affiliation_strings":["School of Information Engineering, Ningxia University, Yinchuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Ningxia University, Yinchuan, China","institution_ids":["https://openalex.org/I21642278"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025736828","display_name":"Yinhe Liu","orcid":"https://orcid.org/0000-0001-6227-2691"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinhe Liu","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","Hubei Provincial Engineering Research Center of Natural Resources Remote Sensing Monitoring, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]},{"raw_affiliation_string":"Hubei Provincial Engineering Research Center of Natural Resources Remote Sensing Monitoring, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100673818","display_name":"Liangpei Zhang","orcid":"https://orcid.org/0000-0001-6890-3650"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangpei Zhang","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","Hubei Provincial Engineering Research Center of Natural Resources Remote Sensing Monitoring, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-6890-3650","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]},{"raw_affiliation_string":"Hubei Provincial Engineering Research Center of Natural Resources Remote Sensing Monitoring, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.1235,"has_fulltext":false,"cited_by_count":57,"citation_normalized_percentile":{"value":0.92166787,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":"60","issue":null,"first_page":"1","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/conditional-random-field","display_name":"Conditional random field","score":0.7567204833030701},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.670170783996582},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5782800316810608},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5328472256660461},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.502994954586029},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4764963984489441},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.4483802914619446},{"id":"https://openalex.org/keywords/unary-operation","display_name":"Unary operation","score":0.44778972864151},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4303652346134186},{"id":"https://openalex.org/keywords/smoothness","display_name":"Smoothness","score":0.42228779196739197},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.4214143753051758},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3744446337223053},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23061591386795044},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.1697920560836792},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09305554628372192}],"concepts":[{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.7567204833030701},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.670170783996582},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5782800316810608},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5328472256660461},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.502994954586029},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4764963984489441},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4483802914619446},{"id":"https://openalex.org/C78023250","wikidata":"https://www.wikidata.org/wiki/Q657596","display_name":"Unary operation","level":2,"score":0.44778972864151},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4303652346134186},{"id":"https://openalex.org/C102634674","wikidata":"https://www.wikidata.org/wiki/Q868473","display_name":"Smoothness","level":2,"score":0.42228779196739197},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.4214143753051758},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3744446337223053},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23061591386795044},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.1697920560836792},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09305554628372192},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2020.3034373","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2020.3034373","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1177919038","display_name":null,"funder_award_id":"42001307","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1223461643","display_name":"\u9ad8\u5149\u8c31\u9065\u611f\u5f71\u50cf\u6df1\u5ea6\u975e\u7ebf\u6027\u4e9a\u50cf\u5143\u5236\u56fe\u65b9\u6cd5\u7814\u7a76","funder_award_id":"42071350","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4629252920","display_name":"\u57fa\u4e8e\u7a00\u758f\u6982\u7387\u56fe\u6a21\u578b\u7684\u9ad8\u5206\u8fa8\u7387\u9065\u611f\u5f71\u50cf\u573a\u666f\u8bed\u4e49\u7406\u89e3\u65b9\u6cd5\u7814\u7a76","funder_award_id":"41771385","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W159072944","https://openalex.org/W1964803612","https://openalex.org/W1972814520","https://openalex.org/W1979061792","https://openalex.org/W1995653526","https://openalex.org/W2001435354","https://openalex.org/W2011572981","https://openalex.org/W2014970225","https://openalex.org/W2020510048","https://openalex.org/W2020999234","https://openalex.org/W2027000042","https://openalex.org/W2030257787","https://openalex.org/W2036798369","https://openalex.org/W2043173392","https://openalex.org/W2060276164","https://openalex.org/W2063145744","https://openalex.org/W2074683335","https://openalex.org/W2078571032","https://openalex.org/W2097924260","https://openalex.org/W2119879130","https://openalex.org/W2123434492","https://openalex.org/W2135065661","https://openalex.org/W2138973222","https://openalex.org/W2140908571","https://openalex.org/W2146937096","https://openalex.org/W2148063443","https://openalex.org/W2152438175","https://openalex.org/W2154451793","https://openalex.org/W2157026765","https://openalex.org/W2160544350","https://openalex.org/W2162909942","https://openalex.org/W2165577558","https://openalex.org/W2167208453","https://openalex.org/W2185133401","https://openalex.org/W2214352236","https://openalex.org/W2261462550","https://openalex.org/W2274749644","https://openalex.org/W2292984592","https://openalex.org/W2411643563","https://openalex.org/W2547416268","https://openalex.org/W2601202827","https://openalex.org/W2602277556","https://openalex.org/W2775780988","https://openalex.org/W2804528682","https://openalex.org/W2810109571","https://openalex.org/W2900559243","https://openalex.org/W2915119470","https://openalex.org/W2953308875","https://openalex.org/W3005514961","https://openalex.org/W4230104286","https://openalex.org/W6633292771","https://openalex.org/W6682082992","https://openalex.org/W6686401320"],"related_works":["https://openalex.org/W2888918612","https://openalex.org/W2166285859","https://openalex.org/W3148597776","https://openalex.org/W1538206641","https://openalex.org/W2025370853","https://openalex.org/W3211656382","https://openalex.org/W2060412688","https://openalex.org/W1972183506","https://openalex.org/W4235940179","https://openalex.org/W2592997798"],"abstract_inverted_index":{"High":[0],"spatial":[1,27],"resolution":[2],"(HSR)":[3],"remote":[4,228],"sensing":[5,229],"images":[6,117],"can":[7,121,195],"reflect":[8],"more":[9,13],"subtle":[10],"changes":[11],"and":[12,19,49,82,184],"specific":[14],"types":[15],"of":[16,42,74,90,118,160,170,181],"land":[17,20],"use":[18],"cover":[21],"(LULC)":[22],"due":[23],"to":[24,56,70,86,100,146,210],"the":[25,58,62,65,72,75,80,88,101,126,138,142,148,154,158,161,166,171,176,179,185,190,207,212,240],"abundant":[26],"geometric":[28],"information.":[29],"In":[30,61],"this":[31],"article,":[32],"a":[33,43,50,98,106,236],"class-prior":[34,66,127],"object-oriented":[35],"conditional":[36],"random":[37],"field":[38],"(COCRF)":[39],"framework":[40,222],"consisting":[41],"binary":[44,81,94],"change":[45],"detection":[46],"(CD)":[47],"task":[48,53],"multiclass":[51,83,102,192],"CD":[52,84,95,103,193,243],"is":[54,68,144,203],"proposed":[55,63,208,220],"fill":[57],"application":[59],"gap.":[60],"framework,":[64,209],"knowledge":[67,128],"used":[69],"improve":[71,147],"construction":[73],"unary":[76],"potential":[77,156],"in":[78,150,189,206],"both":[79,108],"tasks,":[85],"reduce":[87],"influence":[89],"spectral":[91,168],"variability.":[92],"The":[93,113,219],"result":[96],"provides":[97],"constraint":[99,135],"result.":[104],"As":[105],"result,":[107],"parts":[109],"have":[110],"effective":[111],"interaction.":[112],"class":[114,139],"posterior":[115],"probability":[116],"two":[119,226],"dates":[120],"be":[122,196],"obtained":[123],"automatically":[124],"with":[125],"by":[129,137,164],"sample":[130],"migration.":[131],"Furthermore,":[132],"an":[133],"object":[134],"described":[136],"dispersion":[140],"within":[141],"objects":[143],"added":[145],"smoothness":[149,159],"local":[151],"objects,":[152],"while":[153],"pairwise":[155],"improves":[157],"whole":[162],"area":[163],"using":[165],"eight-neighborhood":[167],"information":[169],"center":[172],"pixel.":[173],"By":[174],"integrating":[175],"above":[177],"approaches,":[178],"problems":[180],"error":[182],"accumulation":[183],"manual":[186,216],"intervention":[187],"required":[188,214],"traditional":[191],"methods":[194],"relieved.":[197],"An":[198],"adaptive":[199],"parameter":[200,217],"estimation":[201],"strategy":[202],"also":[204],"adopted":[205],"save":[211],"time":[213],"for":[215],"setting.":[218],"COCRF":[221],"was":[223],"validated":[224],"on":[225],"HSR":[227],"image":[230],"data":[231],"sets,":[232],"where":[233],"it":[234],"achieved":[235],"better":[237],"performance":[238],"than":[239],"other":[241],"state-of-the-art":[242],"methods.":[244]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":3}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}