{"id":"https://openalex.org/W2946875605","doi":"https://doi.org/10.1109/tcyb.2019.2915789","title":"Shared Linear Encoder-Based Multikernel Gaussian Process Latent Variable Model for Visual Classification","display_name":"Shared Linear Encoder-Based Multikernel Gaussian Process Latent Variable Model for Visual Classification","publication_year":2019,"publication_date":"2019-05-30","ids":{"openalex":"https://openalex.org/W2946875605","doi":"https://doi.org/10.1109/tcyb.2019.2915789","mag":"2946875605","pmid":"https://pubmed.ncbi.nlm.nih.gov/31170087"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2019.2915789","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2019.2915789","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","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/A5100753458","display_name":"Jinxing Li","orcid":"https://orcid.org/0000-0001-5156-0305"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]},{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN","HK"],"is_corresponding":true,"raw_author_name":"Jinxing Li","raw_affiliation_strings":["Department of Computing, Hong Kong Polytechnic University, Hong Kong","School of Science and Engineering, Chinese University of Hong Kong (Shenzhen), Shenzhen, China","Department of Computing, Hong Kong Polytechnic University, Hong Kong; School of Science and Engineering, Chinese University of Hong Kong (Shenzhen), Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-5156-0305","affiliations":[{"raw_affiliation_string":"Department of Computing, Hong Kong Polytechnic University, Hong Kong","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"School of Science and Engineering, Chinese University of Hong Kong (Shenzhen), Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]},{"raw_affiliation_string":"Department of Computing, Hong Kong Polytechnic University, Hong Kong; School of Science and Engineering, Chinese University of Hong Kong (Shenzhen), Shenzhen, China","institution_ids":["https://openalex.org/I4210116924","https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030843117","display_name":"Guangming Lu","orcid":"https://orcid.org/0000-0003-1578-2634"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangming Lu","raw_affiliation_strings":["Department of Computer Science, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China","Department of Computer Science, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China#TAB#"],"raw_orcid":"https://orcid.org/0000-0003-1578-2634","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"Department of Computer Science, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China#TAB#","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048088901","display_name":"Bob Zhang","orcid":"https://orcid.org/0000-0003-2497-9519"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Bob Zhang","raw_affiliation_strings":["Department of Computer and Information Science, University of Macau, Macau, China"],"raw_orcid":"https://orcid.org/0000-0003-2497-9519","affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, University of Macau, Macau, China","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045562050","display_name":"Jane You","orcid":"https://orcid.org/0000-0002-8181-4836"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jane You","raw_affiliation_strings":["Department of Computing, Hong Kong Polytechnic University, Hong Kong","Department of Computing, Hong Kong Polytechnic University, Hong Kong,"],"raw_orcid":"https://orcid.org/0000-0002-8181-4836","affiliations":[{"raw_affiliation_string":"Department of Computing, Hong Kong Polytechnic University, Hong Kong","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"Department of Computing, Hong Kong Polytechnic University, Hong Kong,","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100325058","display_name":"David Zhang","orcid":"https://orcid.org/0000-0002-5027-5286"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"David Zhang","raw_affiliation_strings":["School of Science and Engineering, Chinese University of Hong Kong (Shenzhen), Shenzhen, China","[School of Science and Engineering, Chinese University of Hong Kong, Shenzhen, Shenzhen, China]"],"raw_orcid":"https://orcid.org/0000-0002-5027-5286","affiliations":[{"raw_affiliation_string":"School of Science and Engineering, Chinese University of Hong Kong (Shenzhen), Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]},{"raw_affiliation_string":"[School of Science and Engineering, Chinese University of Hong Kong, Shenzhen, Shenzhen, China]","institution_ids":["https://openalex.org/I4210116924"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100753458"],"corresponding_institution_ids":["https://openalex.org/I14243506","https://openalex.org/I4210116924"],"apc_list":null,"apc_paid":null,"fwci":1.4296,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.8542468,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"51","issue":"2","first_page":"534","last_page":"547"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9990000128746033,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9990000128746033,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9932000041007996,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9898999929428101,"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/latent-variable","display_name":"Latent variable","score":0.6756099462509155},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.6013622283935547},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5958219170570374},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.580077052116394},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.555484414100647},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.5524783730506897},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5474668741226196},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5296767950057983},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5218757390975952},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5074936747550964},{"id":"https://openalex.org/keywords/latent-variable-model","display_name":"Latent variable model","score":0.4688502550125122},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4496210813522339},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.4471363425254822},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.42018526792526245},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.41672849655151367},{"id":"https://openalex.org/keywords/covariance-function","display_name":"Covariance function","score":0.4124051332473755},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40895938873291016},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1410352885723114}],"concepts":[{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.6756099462509155},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.6013622283935547},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5958219170570374},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.580077052116394},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.555484414100647},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.5524783730506897},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5474668741226196},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5296767950057983},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5218757390975952},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5074936747550964},{"id":"https://openalex.org/C65965080","wikidata":"https://www.wikidata.org/wiki/Q1806885","display_name":"Latent variable model","level":3,"score":0.4688502550125122},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4496210813522339},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.4471363425254822},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.42018526792526245},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41672849655151367},{"id":"https://openalex.org/C137250428","wikidata":"https://www.wikidata.org/wiki/Q5178897","display_name":"Covariance function","level":3,"score":0.4124051332473755},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40895938873291016},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1410352885723114},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcyb.2019.2915789","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2019.2915789","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","raw_type":"journal-article"},{"id":"pmid:31170087","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31170087","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 cybernetics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7099999785423279,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G3779842981","display_name":null,"funder_award_id":"124/2014/A3","funder_id":"https://openalex.org/F4320321655","funder_display_name":"Science and Technology Development Fund"},{"id":"https://openalex.org/G5346730614","display_name":null,"funder_award_id":"61332011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6425062833","display_name":null,"funder_award_id":"JCYJ20170811155442454","funder_id":"https://openalex.org/F4320335803","funder_display_name":"Shenzhen Fundamental Research and Discipline Layout project"},{"id":"https://openalex.org/G6736450896","display_name":null,"funder_award_id":"JCYJ20180306172023949","funder_id":"https://openalex.org/F4320335803","funder_display_name":"Shenzhen Fundamental Research and Discipline Layout project"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321655","display_name":"Science and Technology Development Fund","ror":"https://ror.org/044vr6g03"},{"id":"https://openalex.org/F4320322598","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98"},{"id":"https://openalex.org/F4320335803","display_name":"Shenzhen Fundamental Research and Discipline Layout project","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W1523385540","https://openalex.org/W1746819321","https://openalex.org/W1778065289","https://openalex.org/W1883346539","https://openalex.org/W2007972815","https://openalex.org/W2052800689","https://openalex.org/W2083196737","https://openalex.org/W2097266862","https://openalex.org/W2100235303","https://openalex.org/W2104563967","https://openalex.org/W2106277773","https://openalex.org/W2108193616","https://openalex.org/W2115918762","https://openalex.org/W2120405375","https://openalex.org/W2125290066","https://openalex.org/W2126497681","https://openalex.org/W2128532956","https://openalex.org/W2133294540","https://openalex.org/W2134270519","https://openalex.org/W2136111243","https://openalex.org/W2156204103","https://openalex.org/W2169779569","https://openalex.org/W2170045362","https://openalex.org/W2184188583","https://openalex.org/W2186500555","https://openalex.org/W2202025056","https://openalex.org/W2218644571","https://openalex.org/W2414522539","https://openalex.org/W2428757121","https://openalex.org/W2519597991","https://openalex.org/W2590019597","https://openalex.org/W2599076810","https://openalex.org/W2623201052","https://openalex.org/W2728364730","https://openalex.org/W2735430302","https://openalex.org/W2765178306","https://openalex.org/W2773071069","https://openalex.org/W2776110275","https://openalex.org/W2783299469","https://openalex.org/W2788791977","https://openalex.org/W2791052411","https://openalex.org/W2792991240","https://openalex.org/W2809299793","https://openalex.org/W2810034806","https://openalex.org/W2888935987","https://openalex.org/W2891220989","https://openalex.org/W2896558689","https://openalex.org/W3143107425","https://openalex.org/W4211049957","https://openalex.org/W6631216910","https://openalex.org/W6639103823","https://openalex.org/W6663996602","https://openalex.org/W6674413621","https://openalex.org/W6678583891","https://openalex.org/W6678885645","https://openalex.org/W6680375596","https://openalex.org/W6683444093","https://openalex.org/W6684785420","https://openalex.org/W6684883977","https://openalex.org/W6686207219","https://openalex.org/W6748238345"],"related_works":["https://openalex.org/W2461917396","https://openalex.org/W2037497866","https://openalex.org/W4243467573","https://openalex.org/W62001224","https://openalex.org/W1502435251","https://openalex.org/W3032390039","https://openalex.org/W1584341211","https://openalex.org/W3122667150","https://openalex.org/W3145681568","https://openalex.org/W4393387622"],"abstract_inverted_index":{"Multiview":[0],"learning":[1,25],"has":[2],"been":[3],"widely":[4],"studied":[5],"in":[6,13,94,114,124],"various":[7],"fields":[8],"and":[9,169,207,225],"achieved":[10],"outstanding":[11],"performances":[12],"comparison":[14],"to":[15,40,55,73,85,102,106,120,161,177,182,191,196,200,204,210,213],"many":[16],"single-view-based":[17],"approaches.":[18,234],"In":[19,38,175],"this":[20,115],"paper,":[21],"a":[22,65,97,107,146,158,185],"novel":[23],"multiview":[24],"method":[26,62,230],"based":[27],"on":[28,218],"the":[29,52,56,74,79,87,90,95,121,125,129,142,163,172,179,183,192,201,223,228],"Gaussian":[30,80],"process":[31,81],"latent":[32,53,75,122,194],"variable":[33,54,76,113,123],"model":[34],"(GPLVM)":[35],"is":[36,100,117,188],"proposed.":[37],"contrast":[39],"existing":[41],"GPLVM":[42,136],"methods":[43,137],"which":[44,138],"only":[45],"assume":[46,140],"that":[47,141],"there":[48],"are":[49],"transformations":[50],"from":[51,134],"multiple":[57,71],"observed":[58],"inputs,":[59],"our":[60],"proposed":[61,229],"simultaneously":[63],"takes":[64],"back":[66],"constraint":[67],"into":[68],"account,":[69],"encoding":[70],"observations":[72,105],"by":[77],"enjoying":[78],"(GP)":[82],"prior.":[83,131],"Particularly,":[84],"overcome":[86],"difficulty":[88],"of":[89,227],"covariance":[91,143,164],"matrix":[92],"calculation":[93],"encoder,":[96],"linear":[98],"projection":[99],"designed":[101],"map":[103],"different":[104,133,211],"consistent":[108],"subspace":[109,116],"first.":[110],"The":[111],"obtained":[112],"then":[118],"projected":[119],"manifold":[126],"space":[127],"with":[128,232],"GP":[130],"Furthermore,":[132],"most":[135],"strongly":[139],"matrices":[144],"follow":[145],"certain":[147],"kernel":[148],"function,":[149],"for":[150,171],"example,":[151],"radial":[152],"basis":[153],"function":[154],"(RBF),":[155],"we":[156],"introduce":[157],"multikernel":[159],"strategy":[160],"design":[162],"matrix,":[165],"being":[166],"more":[167],"reasonable":[168],"adaptive":[170],"data":[173],"representation.":[174],"order":[176],"apply":[178],"presented":[180],"approach":[181],"classification,":[184],"discriminative":[186],"prior":[187],"also":[189],"embedded":[190],"learned":[193],"variables":[195],"encourage":[197],"samples":[198],"belonging":[199,209],"same":[202],"category":[203],"be":[205,214],"close":[206],"those":[208],"categories":[212],"far.":[215],"Experimental":[216],"results":[217],"three":[219],"real-world":[220],"databases":[221],"substantiate":[222],"effectiveness":[224],"superiority":[226],"compared":[231],"state-of-the-art":[233]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
