{"id":"https://openalex.org/W4387717675","doi":"https://doi.org/10.1109/tgrs.2023.3324481","title":"A Novel Approach to All-Weather LST Estimation Using XGBoost Model and Multisource Data","display_name":"A Novel Approach to All-Weather LST Estimation Using XGBoost Model and Multisource Data","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4387717675","doi":"https://doi.org/10.1109/tgrs.2023.3324481"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2023.3324481","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3324481","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/A5055755007","display_name":"Si\u2010Bo Duan","orcid":"https://orcid.org/0000-0002-4390-2421"},"institutions":[{"id":"https://openalex.org/I4210108914","display_name":"Institute of Agricultural Resources and Regional Planning","ror":"https://ror.org/01nrzdp21","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210108914","https://openalex.org/I4210127390","https://openalex.org/I4210138501","https://openalex.org/I4210151987"]},{"id":"https://openalex.org/I4210138501","display_name":"Chinese Academy of Agricultural Sciences","ror":"https://ror.org/0313jb750","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210127390","https://openalex.org/I4210138501","https://openalex.org/I4210151987"]},{"id":"https://openalex.org/I4210151987","display_name":"Ministry of Agriculture and Rural Affairs","ror":"https://ror.org/05ckt8b96","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210127390","https://openalex.org/I4210151987"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Si-Bo Duan","raw_affiliation_strings":["State Key Laboratory of Efficient Utilization of Arid and Semi-Arid Arable Land in Northern China, Institute of Agricultural Resources and Regional Planning, and the Key Laboratory of Agricultural Remote Sensing, Ministry of Agriculture and Rural Affairs/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4390-2421","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Efficient Utilization of Arid and Semi-Arid Arable Land in Northern China, Institute of Agricultural Resources and Regional Planning, and the Key Laboratory of Agricultural Remote Sensing, Ministry of Agriculture and Rural Affairs/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210108914","https://openalex.org/I4210138501","https://openalex.org/I4210151987"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083418424","display_name":"Yihua Lian","orcid":"https://orcid.org/0000-0001-5294-2946"},"institutions":[{"id":"https://openalex.org/I4210108914","display_name":"Institute of Agricultural Resources and Regional Planning","ror":"https://ror.org/01nrzdp21","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210108914","https://openalex.org/I4210127390","https://openalex.org/I4210138501","https://openalex.org/I4210151987"]},{"id":"https://openalex.org/I4210138501","display_name":"Chinese Academy of Agricultural Sciences","ror":"https://ror.org/0313jb750","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210127390","https://openalex.org/I4210138501","https://openalex.org/I4210151987"]},{"id":"https://openalex.org/I4210151987","display_name":"Ministry of Agriculture and Rural Affairs","ror":"https://ror.org/05ckt8b96","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210127390","https://openalex.org/I4210151987"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yihua Lian","raw_affiliation_strings":["State Key Laboratory of Efficient Utilization of Arid and Semi-Arid Arable Land in Northern China, Institute of Agricultural Resources and Regional Planning, and the Key Laboratory of Agricultural Remote Sensing, Ministry of Agriculture and Rural Affairs/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-5294-2946","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Efficient Utilization of Arid and Semi-Arid Arable Land in Northern China, Institute of Agricultural Resources and Regional Planning, and the Key Laboratory of Agricultural Remote Sensing, Ministry of Agriculture and Rural Affairs/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210108914","https://openalex.org/I4210138501","https://openalex.org/I4210151987"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031035100","display_name":"Enyu Zhao","orcid":"https://orcid.org/0000-0001-7165-1861"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Enyu Zhao","raw_affiliation_strings":["Information Science and Technology College, Dalian Maritime University, Dalian, Liaoning, China"],"raw_orcid":"https://orcid.org/0000-0001-7165-1861","affiliations":[{"raw_affiliation_string":"Information Science and Technology College, Dalian Maritime University, Dalian, Liaoning, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100417081","display_name":"Hong Chen","orcid":"https://orcid.org/0000-0002-8287-7329"},"institutions":[{"id":"https://openalex.org/I2799486974","display_name":"China Geological Survey","ror":"https://ror.org/04wtq2305","country_code":"CN","type":"other","lineage":["https://openalex.org/I2799486974"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Chen","raw_affiliation_strings":["China Aero Geophysical Survey and Remote Sensing Center for Nature Resources, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8287-7329","affiliations":[{"raw_affiliation_string":"China Aero Geophysical Survey and Remote Sensing Center for Nature Resources, Beijing, China","institution_ids":["https://openalex.org/I2799486974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100538929","display_name":"Wenjing Han","orcid":null},"institutions":[{"id":"https://openalex.org/I4210108914","display_name":"Institute of Agricultural Resources and Regional Planning","ror":"https://ror.org/01nrzdp21","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210108914","https://openalex.org/I4210127390","https://openalex.org/I4210138501","https://openalex.org/I4210151987"]},{"id":"https://openalex.org/I4210138501","display_name":"Chinese Academy of Agricultural Sciences","ror":"https://ror.org/0313jb750","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210127390","https://openalex.org/I4210138501","https://openalex.org/I4210151987"]},{"id":"https://openalex.org/I4210151987","display_name":"Ministry of Agriculture and Rural Affairs","ror":"https://ror.org/05ckt8b96","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210127390","https://openalex.org/I4210151987"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjing Han","raw_affiliation_strings":["State Key Laboratory of Efficient Utilization of Arid and Semi-Arid Arable Land in Northern China, Institute of Agricultural Resources and Regional Planning, and the Key Laboratory of Agricultural Remote Sensing, Ministry of Agriculture and Rural Affairs/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Efficient Utilization of Arid and Semi-Arid Arable Land in Northern China, Institute of Agricultural Resources and Regional Planning, and the Key Laboratory of Agricultural Remote Sensing, Ministry of Agriculture and Rural Affairs/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210108914","https://openalex.org/I4210138501","https://openalex.org/I4210151987"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114506592","display_name":"Zihao Wu","orcid":"https://orcid.org/0009-0006-2387-0617"},"institutions":[{"id":"https://openalex.org/I4210108914","display_name":"Institute of Agricultural Resources and Regional Planning","ror":"https://ror.org/01nrzdp21","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210108914","https://openalex.org/I4210127390","https://openalex.org/I4210138501","https://openalex.org/I4210151987"]},{"id":"https://openalex.org/I4210138501","display_name":"Chinese Academy of Agricultural Sciences","ror":"https://ror.org/0313jb750","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210127390","https://openalex.org/I4210138501","https://openalex.org/I4210151987"]},{"id":"https://openalex.org/I4210151987","display_name":"Ministry of Agriculture and Rural Affairs","ror":"https://ror.org/05ckt8b96","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210127390","https://openalex.org/I4210151987"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zihao Wu","raw_affiliation_strings":["State Key Laboratory of Efficient Utilization of Arid and Semi-Arid Arable Land in Northern China, Institute of Agricultural Resources and Regional Planning, and the Key Laboratory of Agricultural Remote Sensing, Ministry of Agriculture and Rural Affairs/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Efficient Utilization of Arid and Semi-Arid Arable Land in Northern China, Institute of Agricultural Resources and Regional Planning, and the Key Laboratory of Agricultural Remote Sensing, Ministry of Agriculture and Rural Affairs/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210108914","https://openalex.org/I4210138501","https://openalex.org/I4210151987"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.1232,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.92627891,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"61","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11312","display_name":"Soil Moisture and Remote Sensing","score":0.9581999778747559,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11312","display_name":"Soil Moisture and Remote Sensing","score":0.9581999778747559,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10466","display_name":"Meteorological Phenomena and Simulations","score":0.933899998664856,"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/weather-forecasting","display_name":"Weather forecasting","score":0.5994011163711548},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5738610029220581},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.5248729586601257},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5218247771263123},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.4932047724723816},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47412800788879395},{"id":"https://openalex.org/keywords/atmospheric-model","display_name":"Atmospheric model","score":0.47165051102638245},{"id":"https://openalex.org/keywords/model-output-statistics","display_name":"Model output statistics","score":0.4415532946586609},{"id":"https://openalex.org/keywords/weather-prediction","display_name":"Weather prediction","score":0.4253387749195099},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.36401617527008057},{"id":"https://openalex.org/keywords/climatology","display_name":"Climatology","score":0.3344712257385254},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.14839598536491394},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.137126624584198}],"concepts":[{"id":"https://openalex.org/C21001229","wikidata":"https://www.wikidata.org/wiki/Q182868","display_name":"Weather forecasting","level":2,"score":0.5994011163711548},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5738610029220581},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.5248729586601257},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5218247771263123},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.4932047724723816},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47412800788879395},{"id":"https://openalex.org/C118365302","wikidata":"https://www.wikidata.org/wiki/Q4817115","display_name":"Atmospheric model","level":2,"score":0.47165051102638245},{"id":"https://openalex.org/C37505551","wikidata":"https://www.wikidata.org/wiki/Q1453537","display_name":"Model output statistics","level":3,"score":0.4415532946586609},{"id":"https://openalex.org/C2987469573","wikidata":"https://www.wikidata.org/wiki/Q182868","display_name":"Weather prediction","level":2,"score":0.4253387749195099},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.36401617527008057},{"id":"https://openalex.org/C49204034","wikidata":"https://www.wikidata.org/wiki/Q52139","display_name":"Climatology","level":1,"score":0.3344712257385254},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.14839598536491394},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.137126624584198},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2023.3324481","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3324481","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":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.8799999952316284}],"awards":[{"id":"https://openalex.org/G2514888371","display_name":null,"funder_award_id":"41921001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8313683469","display_name":null,"funder_award_id":"42171362","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W1966928556","https://openalex.org/W1968796030","https://openalex.org/W1983668139","https://openalex.org/W1991675385","https://openalex.org/W2004541842","https://openalex.org/W2021057500","https://openalex.org/W2026337749","https://openalex.org/W2128410490","https://openalex.org/W2295598076","https://openalex.org/W2315350461","https://openalex.org/W2342925224","https://openalex.org/W2509531951","https://openalex.org/W2550894800","https://openalex.org/W2607336919","https://openalex.org/W2753670894","https://openalex.org/W2904909458","https://openalex.org/W2907470085","https://openalex.org/W2919424886","https://openalex.org/W2936275894","https://openalex.org/W2954071775","https://openalex.org/W2954482899","https://openalex.org/W2959824742","https://openalex.org/W2963939798","https://openalex.org/W2964626007","https://openalex.org/W2995687014","https://openalex.org/W3024727387","https://openalex.org/W3027687773","https://openalex.org/W3034798086","https://openalex.org/W3034933863","https://openalex.org/W3048411613","https://openalex.org/W3115112955","https://openalex.org/W3127026908","https://openalex.org/W3155993469","https://openalex.org/W3165109689","https://openalex.org/W3168301201","https://openalex.org/W3171104463","https://openalex.org/W3200190239","https://openalex.org/W3200241116","https://openalex.org/W3202729355","https://openalex.org/W3203024208","https://openalex.org/W3217393914","https://openalex.org/W4210736595","https://openalex.org/W4220814255","https://openalex.org/W4229449022","https://openalex.org/W4280572938","https://openalex.org/W4292136419","https://openalex.org/W4295677933","https://openalex.org/W4312203760","https://openalex.org/W4319997908","https://openalex.org/W4321488420","https://openalex.org/W4385719873","https://openalex.org/W4399647672","https://openalex.org/W6802126025","https://openalex.org/W6855420312","https://openalex.org/W6869608176"],"related_works":["https://openalex.org/W3047402747","https://openalex.org/W3021464272","https://openalex.org/W2787716671","https://openalex.org/W2970320467","https://openalex.org/W2893954686","https://openalex.org/W2348248161","https://openalex.org/W4385749727","https://openalex.org/W4385699815","https://openalex.org/W4377970672","https://openalex.org/W2321020009"],"abstract_inverted_index":{"Land":[0],"surface":[1,38],"temperature":[2,39],"(LST)":[3],"plays":[4],"a":[5,117],"crucial":[6],"role":[7],"in":[8,51,128,130,200],"the":[9,15,24,34,60,76,93,104,107,123,136,140,189,194],"physical":[10],"and":[11,44,58,99,147,159,169,176,191,203],"chemical":[12],"processes":[13],"of":[14,26,125,139,152,193],"land\u2013atmosphere":[16],"system.":[17],"Remote":[18],"sensing":[19],"technology":[20],"has":[21],"greatly":[22],"advanced":[23],"measurement":[25],"thermal":[27],"infrared":[28],"LST":[29,62,71,88,98,110,129,196],"(TIR":[30],"LST),":[31],"which":[32],"is":[33],"most":[35],"widely":[36],"utilized":[37],"product.":[40],"However,":[41],"cloud":[42],"cover":[43],"mist":[45],"often":[46],"cause":[47],"significant":[48,118],"data":[49],"loss":[50],"TIR":[52,97],"LST.":[53,212],"To":[54],"address":[55],"this":[56,66,201],"issue":[57],"reconstruct":[59],"MYD11A1":[61,105],"under":[63,164,181],"cloudy":[64],"conditions,":[65,168],"study":[67,202],"proposes":[68],"an":[69],"all-weather":[70,109,142,195,211],"generation":[72,197],"method":[73,83,198],"based":[74],"on":[75],"extreme":[77],"gradient":[78],"boosting":[79],"(XGBoost)":[80],"model.":[81],"This":[82],"incorporates":[84],"spatial-seamless":[85],"passive":[86],"microwave":[87],"(PMW":[89],"LST)":[90],"to":[91,103,207],"capture":[92],"nonlinear":[94],"relationship":[95],"between":[96],"other":[100],"variables.":[101],"Compared":[102],"LST,":[106,143],"generated":[108,141],"provides":[111],"continuous":[112],"spatial":[113],"texture":[114],"information":[115],"without":[116],"boundary":[119],"reconstruction":[120],"effect,":[121],"improving":[122],"accuracy":[124,138],"spatiotemporal":[126],"variations":[127],"China.":[131],"In":[132],"situ":[133],"validation":[134],"demonstrated":[135],"high":[137],"with":[144],"mean$R^{2}$,":[145],"bias,":[146],"unbiased":[148],"root-mean-square":[149],"error":[150],"(ubRMSE)":[151],"0.96":[153],"(0.91),":[154],"1.08":[155],"K":[156,161,173,178],"(3.61":[157],"K),":[158,175],"2.92":[160],"(4.54":[162],"K)":[163,180],"clear":[165,182],"(cloudy)":[166,183],"daytime":[167],"0.92":[170],"(0.95),":[171],"\u22120.93":[172],"(\u22122.96":[174],"3.09":[177],"(3.04":[179],"nighttime":[184],"conditions.":[185],"These":[186],"results":[187],"indicate":[188],"feasibility":[190],"reasonableness":[192],"developed":[199],"affirm":[204],"its":[205],"ability":[206],"generate":[208],"highly":[209],"accurate":[210]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":12}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}
