{"id":"https://openalex.org/W4210352024","doi":"https://doi.org/10.1109/jstars.2022.3145042","title":"Transformer-Driven Semantic Relation Inference for Multilabel Classification of High-Resolution Remote Sensing Images","display_name":"Transformer-Driven Semantic Relation Inference for Multilabel Classification of High-Resolution Remote Sensing Images","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4210352024","doi":"https://doi.org/10.1109/jstars.2022.3145042"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2022.3145042","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2022.3145042","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/9656571/09691842.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/4609443/9656571/09691842.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014656537","display_name":"Xiaowei Tan","orcid":"https://orcid.org/0000-0003-4497-4352"},"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":"Xiaowei Tan","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-4497-4352","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/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015087962","display_name":"Zhifeng Xiao","orcid":"https://orcid.org/0000-0002-8239-2268"},"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":"Zhifeng Xiao","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-8239-2268","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/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101923392","display_name":"Jianjun Zhu","orcid":"https://orcid.org/0000-0002-7681-4241"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jianjun Zhu","raw_affiliation_strings":["National Bio Energy Company Ltd., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Bio Energy Company Ltd., Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085650743","display_name":"Qiao Wan","orcid":"https://orcid.org/0000-0001-7867-7394"},"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":"Qiao Wan","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, 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/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100437107","display_name":"Kai Wang","orcid":"https://orcid.org/0000-0003-2421-9579"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Wang","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070369693","display_name":"Deren Li","orcid":"https://orcid.org/0000-0002-7277-6356"},"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":"Deren Li","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, 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/I4210118728","https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":3.7469,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.93863531,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"15","issue":null,"first_page":"1884","last_page":"1901"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9979000091552734,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9979000091552734,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9969000220298767,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9965999722480774,"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/discriminative-model","display_name":"Discriminative model","score":0.8387272357940674},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7359397411346436},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7221662998199463},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7101114392280579},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.565460205078125},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5543760061264038},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.5358238220214844},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.5186678171157837},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49965357780456543},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4945785701274872},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4194062054157257},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41771399974823},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.36753273010253906},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3096107244491577}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8387272357940674},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7359397411346436},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7221662998199463},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7101114392280579},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.565460205078125},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5543760061264038},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5358238220214844},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.5186678171157837},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49965357780456543},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4945785701274872},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4194062054157257},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41771399974823},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.36753273010253906},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3096107244491577},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2022.3145042","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2022.3145042","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/9656571/09691842.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:a7e0c226848d458a93cfe2904f399c2d","is_oa":true,"landing_page_url":"https://doaj.org/article/a7e0c226848d458a93cfe2904f399c2d","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 1884-1901 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2022.3145042","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2022.3145042","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/9656571/09691842.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7300000190734863,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G4320743342","display_name":null,"funder_award_id":"52789921001M","funder_id":"https://openalex.org/F4320335984","funder_display_name":"Science and Technology Foundation of State Grid Corporation of China"}],"funders":[{"id":"https://openalex.org/F4320335984","display_name":"Science and Technology Foundation of State Grid Corporation of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4210352024.pdf"},"referenced_works_count":61,"referenced_works":["https://openalex.org/W7746136","https://openalex.org/W1524416683","https://openalex.org/W1567302070","https://openalex.org/W1753402186","https://openalex.org/W1905051261","https://openalex.org/W1953606363","https://openalex.org/W2010181071","https://openalex.org/W2012995268","https://openalex.org/W2052684427","https://openalex.org/W2105482032","https://openalex.org/W2118712128","https://openalex.org/W2140302574","https://openalex.org/W2156935079","https://openalex.org/W2166912588","https://openalex.org/W2194775991","https://openalex.org/W2295107390","https://openalex.org/W2410641892","https://openalex.org/W2463598282","https://openalex.org/W2585836593","https://openalex.org/W2592226848","https://openalex.org/W2592628593","https://openalex.org/W2602837914","https://openalex.org/W2766938848","https://openalex.org/W2801287733","https://openalex.org/W2884821995","https://openalex.org/W2897086142","https://openalex.org/W2932399282","https://openalex.org/W2946373483","https://openalex.org/W2958781163","https://openalex.org/W2963300078","https://openalex.org/W2963446712","https://openalex.org/W2963745697","https://openalex.org/W2982112268","https://openalex.org/W2998002262","https://openalex.org/W2998420437","https://openalex.org/W3011296786","https://openalex.org/W3011990881","https://openalex.org/W3014247046","https://openalex.org/W3018169007","https://openalex.org/W3027532550","https://openalex.org/W3091842132","https://openalex.org/W3096609285","https://openalex.org/W3102112912","https://openalex.org/W3102503200","https://openalex.org/W3111813289","https://openalex.org/W3113728373","https://openalex.org/W3127571973","https://openalex.org/W3127751679","https://openalex.org/W3155649272","https://openalex.org/W3162100949","https://openalex.org/W3174905907","https://openalex.org/W3201623325","https://openalex.org/W4232706428","https://openalex.org/W4246193833","https://openalex.org/W6637373629","https://openalex.org/W6682137061","https://openalex.org/W6713494006","https://openalex.org/W6713507025","https://openalex.org/W6739901393","https://openalex.org/W6779879114","https://openalex.org/W6790275670"],"related_works":["https://openalex.org/W2729514902","https://openalex.org/W2024160000","https://openalex.org/W2773500201","https://openalex.org/W2061273563","https://openalex.org/W2285052147","https://openalex.org/W4319301798","https://openalex.org/W4287995534","https://openalex.org/W2743258233","https://openalex.org/W2998168123","https://openalex.org/W1972656095"],"abstract_inverted_index":{"It":[0],"is":[1,21,46,101,181],"hard":[2],"to":[3,8,28,40,66,171,190],"use":[4,29,55],"a":[5,22,47,85,98,109,147,154,195],"single":[6],"label":[7,68,163,204],"describe":[9],"an":[10],"image":[11,31,112],"for":[12,33,50],"the":[13,42,56,71,75,92,138,143,169,178,191,210,227],"complexity":[14],"of":[15,91,168,177],"remote":[16,35],"sensing":[17,36],"scenes.":[18],"Thus,":[19],"it":[20,183],"more":[23],"general":[24],"and":[25,130,152,193,198,200,214,218,235],"practical":[26],"choice":[27],"multilabel":[30,51,113,213,223],"classification":[32,114],"high-resolution":[34],"(HRS)":[37],"images.":[38],"How":[39],"construct":[41],"relation":[43,118,164],"between":[44,238],"categories":[45,239],"vital":[48],"problem":[49],"classification.":[52],"Some":[53],"researchers":[54],"recurrent":[57],"neural":[58,150],"network":[59,122,151],"(RNN)":[60],"or":[61,77],"long":[62],"short-term":[63],"memory":[64],"(LSTM)":[65],"exploit":[67],"relations":[69],"over":[70],"last":[72],"years.":[73],"However,":[74],"RNN":[76],"LSTM":[78],"could":[79,230],"model":[80],"such":[81],"category":[82,100,157,192],"dependence":[83],"in":[84,142],"chain":[86],"propagation":[87],"manner.":[88],"The":[89,121,135,160,175],"performance":[90],"RNN/LSTM":[93],"might":[94],"be":[95],"questioned":[96],"when":[97],"specific":[99],"improperly":[102],"inferred.":[103],"To":[104],"address":[105],"this,":[106],"we":[107],"propose":[108],"novel":[110],"HRS":[111],"network,":[115],"transformer-driven":[116],"semantic":[117,126,131,139,186,233],"inference":[119,165],"network.":[120],"comprises":[123],"two":[124],"modules:":[125],"sensitive":[127],"module":[128,133],"(SSM)":[129],"relation-building":[132],"(SRBM).":[134],"SSM":[136,170],"locates":[137],"attentional":[140,187],"regions":[141,188,234],"features":[144],"extracted":[145],"by":[146],"deep":[148],"convolutional":[149],"generates":[153],"discriminative":[155,196],"content-aware":[156],"representation":[158],"(CACR).":[159],"SRBM":[161],"uses":[162],"from":[166],"outputs":[167],"predict":[172],"final":[173],"results.":[174],"characteristic":[176],"proposed":[179,228],"method":[180,229],"that":[182,226],"can":[184],"extract":[185],"relevant":[189],"generate":[194],"CACR":[197],"natural":[199],"interpretable":[201],"reasoning":[202],"about":[203],"relations.":[205],"Experiments":[206],"were":[207],"performed":[208],"on":[209,221],"public":[211],"UCM":[212],"MLRSNet":[215],"datasets.":[216],"Quantitative":[217],"qualitative":[219],"analyses":[220],"state-of-the-art":[222],"benchmarks":[224],"proved":[225],"effectively":[231],"locate":[232],"build":[236],"relationships":[237],"with":[240],"better":[241],"robustness.":[242]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}