{"id":"https://openalex.org/W4390970266","doi":"https://doi.org/10.1109/jstars.2024.3354944","title":"Knowledge Distillation-Based Lightweight Change Detection in High-Resolution Remote Sensing Imagery for On-Board Processing","display_name":"Knowledge Distillation-Based Lightweight Change Detection in High-Resolution Remote Sensing Imagery for On-Board Processing","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4390970266","doi":"https://doi.org/10.1109/jstars.2024.3354944"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2024.3354944","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3354944","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10403982.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":null,"license_id":null,"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/ielx7/4609443/4609444/10403982.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100334013","display_name":"Guoqing Wang","orcid":"https://orcid.org/0000-0002-0671-6777"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guoqing Wang","raw_affiliation_strings":["National Key Laboratory of Science and Technology on Space-Born Intelligent Information Processing, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Space-Born Intelligent Information Processing, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006303328","display_name":"Ning Zhang","orcid":"https://orcid.org/0000-0003-4717-2304"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ning Zhang","raw_affiliation_strings":["National Key Laboratory of Science and Technology on Space-Born Intelligent Information Processing, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Space-Born Intelligent Information Processing, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018684025","display_name":"Jue Wang","orcid":"https://orcid.org/0000-0002-0229-8424"},"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":"Jue Wang","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China"],"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/A5100381718","display_name":"Wenchao Liu","orcid":"https://orcid.org/0000-0001-7747-523X"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenchao Liu","raw_affiliation_strings":["National Key Laboratory of Science and Technology on Space-Born Intelligent Information Processing, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Space-Born Intelligent Information Processing, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014833698","display_name":"Yizhuang Xie","orcid":"https://orcid.org/0000-0003-1312-2691"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yizhuang Xie","raw_affiliation_strings":["National Key Laboratory of Science and Technology on Space-Born Intelligent Information Processing, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Space-Born Intelligent Information Processing, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100327685","display_name":"He Chen","orcid":"https://orcid.org/0000-0003-4182-6493"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"He Chen","raw_affiliation_strings":["National Key Laboratory of Science and Technology on Space-Born Intelligent Information Processing, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Space-Born Intelligent Information Processing, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100334013"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":6.396,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.9675509,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"17","issue":null,"first_page":"3860","last_page":"3877"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9983999729156494,"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":0.9983999729156494,"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":0.9735999703407288,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.8313472270965576},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7903803586959839},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.7578880190849304},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5860731601715088},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5262110233306885},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5249868631362915},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5114342570304871},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.46322062611579895},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45590633153915405},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4387776851654053},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.422149121761322},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.41273656487464905},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3865029215812683},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37910741567611694},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08112326264381409}],"concepts":[{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.8313472270965576},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7903803586959839},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.7578880190849304},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5860731601715088},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5262110233306885},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5249868631362915},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5114342570304871},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.46322062611579895},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45590633153915405},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4387776851654053},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.422149121761322},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.41273656487464905},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3865029215812683},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37910741567611694},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08112326264381409},{"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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2024.3354944","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3354944","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10403982.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":null,"license_id":null,"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:af32fff66a85429d97d24367b8fcb5f6","is_oa":true,"landing_page_url":"https://doaj.org/article/af32fff66a85429d97d24367b8fcb5f6","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 3860-3877 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2024.3354944","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3354944","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10403982.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":null,"license_id":null,"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":[{"display_name":"Climate action","score":0.7799999713897705,"id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4390970266.pdf"},"referenced_works_count":73,"referenced_works":["https://openalex.org/W1690739335","https://openalex.org/W1821462560","https://openalex.org/W1996901117","https://openalex.org/W2036798369","https://openalex.org/W2095483845","https://openalex.org/W2108085482","https://openalex.org/W2140305562","https://openalex.org/W2157026765","https://openalex.org/W2158805401","https://openalex.org/W2165577558","https://openalex.org/W2561238782","https://openalex.org/W2567285691","https://openalex.org/W2737129951","https://openalex.org/W2783538964","https://openalex.org/W2805152403","https://openalex.org/W2891248708","https://openalex.org/W2908320224","https://openalex.org/W2936864631","https://openalex.org/W2940726923","https://openalex.org/W2945272354","https://openalex.org/W2945742768","https://openalex.org/W2951991161","https://openalex.org/W2962858109","https://openalex.org/W2963163009","https://openalex.org/W2964217848","https://openalex.org/W2969881582","https://openalex.org/W2981810834","https://openalex.org/W2995607862","https://openalex.org/W3004543888","https://openalex.org/W3009942016","https://openalex.org/W3013709343","https://openalex.org/W3015756600","https://openalex.org/W3022140654","https://openalex.org/W3027201985","https://openalex.org/W3027225766","https://openalex.org/W3034870355","https://openalex.org/W3036453075","https://openalex.org/W3037640242","https://openalex.org/W3105676814","https://openalex.org/W3113229535","https://openalex.org/W3120467244","https://openalex.org/W3142599962","https://openalex.org/W3144332889","https://openalex.org/W3176330035","https://openalex.org/W3180045188","https://openalex.org/W3201797941","https://openalex.org/W3206533587","https://openalex.org/W3213611010","https://openalex.org/W3214719104","https://openalex.org/W3217004489","https://openalex.org/W4213019189","https://openalex.org/W4213253308","https://openalex.org/W4214524539","https://openalex.org/W4226228401","https://openalex.org/W4226252548","https://openalex.org/W4285278903","https://openalex.org/W4285294301","https://openalex.org/W4288059649","https://openalex.org/W4308644047","https://openalex.org/W4311849222","https://openalex.org/W4318766188","https://openalex.org/W4319831775","https://openalex.org/W4365801723","https://openalex.org/W6617368339","https://openalex.org/W6637551013","https://openalex.org/W6638523607","https://openalex.org/W6638632666","https://openalex.org/W6638783484","https://openalex.org/W6684563725","https://openalex.org/W6730179637","https://openalex.org/W6731696259","https://openalex.org/W6762718338","https://openalex.org/W6769906912"],"related_works":["https://openalex.org/W2953716828","https://openalex.org/W2904857019","https://openalex.org/W2944728705","https://openalex.org/W3011538607","https://openalex.org/W2904022177","https://openalex.org/W2591697403","https://openalex.org/W4321441197","https://openalex.org/W2359348847","https://openalex.org/W4294432981","https://openalex.org/W4321276295"],"abstract_inverted_index":{"Deep":[0],"learning":[1],"(DL)":[2],"has":[3,27],"been":[4],"introduced":[5],"to":[6,11,53,65,131,156,170,210,217],"change":[7],"detection":[8,122],"(CD)":[9],"due":[10],"its":[12],"powerful":[13],"feature":[14,99,138],"representation":[15],"and":[16,31,43,89,111,114,117,148,151,180,196,199],"robust":[17],"generalization":[18],"abilities.":[19],"However,":[20],"the":[21,98,103,106,119,132,136,153,159,163,167,183,203],"application":[22],"of":[23,108,166,182,219],"large":[24,55,220],"DL":[25,56],"models":[26,57,213],"high":[28,47],"computational":[29],"complexity":[30],"massive":[32],"storage":[33],"requirements":[34],"for":[35],"achieving":[36],"good":[37],"performance.":[38],"For":[39],"disaster":[40],"emergency":[41],"response":[42],"other":[44],"applications":[45],"with":[46,62,175,214],"timeliness":[48],"requirements,":[49],"it":[50],"is":[51,93],"difficult":[52],"deploy":[54],"on":[58,78,189],"spaceborne":[59],"edge":[60],"devices":[61],"limited":[63],"resources":[64],"achieve":[66],"on-board":[67],"CD":[68,76,194],"processing.":[69],"To":[70],"address":[71],"this":[72],"limitation,":[73],"a":[74],"novel":[75],"based":[77],"knowledge":[79,160],"distillation":[80,88,92,96,141,144],"(CDKD)":[81],"method":[82,186,206],"that":[83,127,202,218],"combines":[84,142],"prototypical":[85],"contrastive":[86],"(PC)":[87],"channel-spatial-normalized":[90],"(CSN)":[91],"proposed.":[94],"PC":[95],"represents":[97],"distribution":[100],"by":[101,134],"calculating":[102],"differences":[104],"between":[105],"similarities":[107],"pixel":[109],"features":[110,130],"their":[112],"positive":[113],"negative":[115],"prototypes,":[116],"improves":[118],"student":[120,154],"model's":[121],"ability":[123],"in":[124,162],"changed":[125,173],"regions":[126,174],"have":[128],"similar":[129],"background":[133],"mimicking":[135],"relative":[137],"distribution.":[139],"CSN":[140],"two":[143],"paradigms,":[145],"channel":[146],"normalization":[147],"spatial":[149],"normalization,":[150],"guides":[152],"model":[155,169],"comprehensively":[157],"learn":[158],"contained":[161],"output":[164],"probabilities":[165],"teacher":[168],"accurately":[171],"identify":[172],"complex":[176],"shapes.":[177],"The":[178],"effectiveness":[179],"reliability":[181],"proposed":[184,204],"CDKD":[185,205],"are":[187],"verified":[188],"three":[190],"public":[191],"remote":[192],"sensing":[193],"datasets,":[195],"extensive":[197],"experiments":[198],"analyses":[200],"show":[201],"can":[207],"be":[208],"used":[209],"train":[211],"lightweight":[212],"comparable":[215],"performance":[216],"models.":[221]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":7}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}