{"id":"https://openalex.org/W4310378889","doi":"https://doi.org/10.3390/rs14236062","title":"How Well Can Matching High Spatial Resolution Landsat Data with Flux Tower Footprints Improve Estimates of Vegetation Gross Primary Production","display_name":"How Well Can Matching High Spatial Resolution Landsat Data with Flux Tower Footprints Improve Estimates of Vegetation Gross Primary Production","publication_year":2022,"publication_date":"2022-11-29","ids":{"openalex":"https://openalex.org/W4310378889","doi":"https://doi.org/10.3390/rs14236062"},"language":"en","primary_location":{"id":"doi:10.3390/rs14236062","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14236062","pdf_url":"https://www.mdpi.com/2072-4292/14/23/6062/pdf?version=1669984179","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/14/23/6062/pdf?version=1669984179","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018990367","display_name":"Xiaojuan Huang","orcid":"https://orcid.org/0000-0002-2581-7004"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojuan Huang","raw_affiliation_strings":["School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai 519000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai 519000, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045114904","display_name":"Shangrong Lin","orcid":"https://orcid.org/0000-0001-7153-2184"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shangrong Lin","raw_affiliation_strings":["School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai 519000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai 519000, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100647971","display_name":"Xiangqian Li","orcid":"https://orcid.org/0000-0001-5232-9658"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangqian Li","raw_affiliation_strings":["School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai 519000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai 519000, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040780405","display_name":"Mingguo Ma","orcid":"https://orcid.org/0000-0002-3783-8363"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingguo Ma","raw_affiliation_strings":["Chongqing Jinfo Mountain Karst Ecosystem National Observation and Research Station, School of Geographical Sciences, Southwest University, Chongqing 400715, China"],"raw_orcid":"https://orcid.org/0000-0002-3783-8363","affiliations":[{"raw_affiliation_string":"Chongqing Jinfo Mountain Karst Ecosystem National Observation and Research Station, School of Geographical Sciences, Southwest University, Chongqing 400715, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056106420","display_name":"Chaoyang Wu","orcid":"https://orcid.org/0000-0001-6163-8209"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210160793","display_name":"Institute of Geographic Sciences and Natural Resources Research","ror":"https://ror.org/04t1cdb72","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaoyang Wu","raw_affiliation_strings":["The Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, 11A, Datun Road, Chaoyang District, Beijing 100101, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, 11A, Datun Road, Chaoyang District, Beijing 100101, China","institution_ids":["https://openalex.org/I4210160793","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069058569","display_name":"Wenping Yuan","orcid":"https://orcid.org/0000-0002-1469-4395"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenping Yuan","raw_affiliation_strings":["School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai 519000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai 519000, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5069058569"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.5253,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.82657717,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"14","issue":"23","first_page":"6062","last_page":"6062"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11588","display_name":"Atmospheric and Environmental Gas Dynamics","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"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/T10266","display_name":"Plant Water Relations and Carbon Dynamics","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/eddy-covariance","display_name":"Eddy covariance","score":0.825901210308075},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.7488988041877747},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.7157137989997864},{"id":"https://openalex.org/keywords/normalized-difference-vegetation-index","display_name":"Normalized Difference Vegetation Index","score":0.6990568041801453},{"id":"https://openalex.org/keywords/enhanced-vegetation-index","display_name":"Enhanced vegetation index","score":0.5490706562995911},{"id":"https://openalex.org/keywords/footprint","display_name":"Footprint","score":0.5332932472229004},{"id":"https://openalex.org/keywords/moderate-resolution-imaging-spectroradiometer","display_name":"Moderate-resolution imaging spectroradiometer","score":0.4723910987377167},{"id":"https://openalex.org/keywords/primary-production","display_name":"Primary production","score":0.4215511381626129},{"id":"https://openalex.org/keywords/leaf-area-index","display_name":"Leaf area index","score":0.3480309844017029},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.3425455689430237},{"id":"https://openalex.org/keywords/ecosystem","display_name":"Ecosystem","score":0.16108116507530212},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.14128106832504272},{"id":"https://openalex.org/keywords/vegetation-index","display_name":"Vegetation Index","score":0.11491486430168152}],"concepts":[{"id":"https://openalex.org/C35187779","wikidata":"https://www.wikidata.org/wiki/Q5336709","display_name":"Eddy covariance","level":3,"score":0.825901210308075},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.7488988041877747},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.7157137989997864},{"id":"https://openalex.org/C1549246","wikidata":"https://www.wikidata.org/wiki/Q718775","display_name":"Normalized Difference Vegetation Index","level":3,"score":0.6990568041801453},{"id":"https://openalex.org/C78869512","wikidata":"https://www.wikidata.org/wiki/Q5378810","display_name":"Enhanced vegetation index","level":5,"score":0.5490706562995911},{"id":"https://openalex.org/C132943942","wikidata":"https://www.wikidata.org/wiki/Q2562511","display_name":"Footprint","level":2,"score":0.5332932472229004},{"id":"https://openalex.org/C2777007095","wikidata":"https://www.wikidata.org/wiki/Q676840","display_name":"Moderate-resolution imaging spectroradiometer","level":3,"score":0.4723910987377167},{"id":"https://openalex.org/C24717449","wikidata":"https://www.wikidata.org/wiki/Q515905","display_name":"Primary production","level":3,"score":0.4215511381626129},{"id":"https://openalex.org/C25989453","wikidata":"https://www.wikidata.org/wiki/Q446746","display_name":"Leaf area index","level":2,"score":0.3480309844017029},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.3425455689430237},{"id":"https://openalex.org/C110872660","wikidata":"https://www.wikidata.org/wiki/Q37813","display_name":"Ecosystem","level":2,"score":0.16108116507530212},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.14128106832504272},{"id":"https://openalex.org/C2780376076","wikidata":"https://www.wikidata.org/wiki/Q1499458","display_name":"Vegetation Index","level":4,"score":0.11491486430168152},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs14236062","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14236062","pdf_url":"https://www.mdpi.com/2072-4292/14/23/6062/pdf?version=1669984179","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:c15b3e1b639d4feb9a67afe4a06d2f10","is_oa":true,"landing_page_url":"https://doaj.org/article/c15b3e1b639d4feb9a67afe4a06d2f10","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":"Remote Sensing, Vol 14, Iss 23, p 6062 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/23/6062/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14236062","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 14; Issue 23; Pages: 6062","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs14236062","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14236062","pdf_url":"https://www.mdpi.com/2072-4292/14/23/6062/pdf?version=1669984179","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.49000000953674316}],"awards":[{"id":"https://openalex.org/G3966333492","display_name":null,"funder_award_id":"19lgjc02","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G8907352128","display_name":null,"funder_award_id":"41925001","funder_id":"https://openalex.org/F4320334953","funder_display_name":"China National Funds for Distinguished Young Scientists"}],"funders":[{"id":"https://openalex.org/F4320334953","display_name":"China National Funds for Distinguished Young Scientists","ror":"https://ror.org/01pab2602"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4310378889.pdf","grobid_xml":"https://content.openalex.org/works/W4310378889.grobid-xml"},"referenced_works_count":52,"referenced_works":["https://openalex.org/W1584031569","https://openalex.org/W1614886892","https://openalex.org/W1758024742","https://openalex.org/W1838347895","https://openalex.org/W1963768209","https://openalex.org/W1967542684","https://openalex.org/W1981213426","https://openalex.org/W1983614388","https://openalex.org/W1987927366","https://openalex.org/W1996803061","https://openalex.org/W2002908628","https://openalex.org/W2003795236","https://openalex.org/W2017221919","https://openalex.org/W2025745000","https://openalex.org/W2030145772","https://openalex.org/W2046857879","https://openalex.org/W2055970573","https://openalex.org/W2098020412","https://openalex.org/W2098418965","https://openalex.org/W2111979722","https://openalex.org/W2147423506","https://openalex.org/W2155152860","https://openalex.org/W2158897782","https://openalex.org/W2165091437","https://openalex.org/W2543165254","https://openalex.org/W2570762839","https://openalex.org/W2586845675","https://openalex.org/W2589890164","https://openalex.org/W2766496462","https://openalex.org/W2790034627","https://openalex.org/W2792093398","https://openalex.org/W2799933830","https://openalex.org/W2801835596","https://openalex.org/W2807880264","https://openalex.org/W2907203129","https://openalex.org/W2953950759","https://openalex.org/W2966160952","https://openalex.org/W2969017260","https://openalex.org/W2971653617","https://openalex.org/W2996665775","https://openalex.org/W2997351194","https://openalex.org/W3045732244","https://openalex.org/W3120523171","https://openalex.org/W3129218789","https://openalex.org/W3155221721","https://openalex.org/W3210179312","https://openalex.org/W4220922814","https://openalex.org/W4224904008","https://openalex.org/W4225669880","https://openalex.org/W4244704947","https://openalex.org/W4281708460","https://openalex.org/W6729821152"],"related_works":["https://openalex.org/W4285728579","https://openalex.org/W4206637836","https://openalex.org/W2034883032","https://openalex.org/W2186463388","https://openalex.org/W3119747628","https://openalex.org/W2989277860","https://openalex.org/W2117895576","https://openalex.org/W2060398476","https://openalex.org/W2056301837","https://openalex.org/W2742252116"],"abstract_inverted_index":{"Eddy-covariance":[0],"(EC)":[1],"measurements":[2],"are":[3],"widely":[4],"used":[5],"to":[6,171],"optimize":[7],"the":[8,29,40,45,58,61,65,72,89,115,118,129,136,144,147,165,173,176,193,201,205,211],"terrestrial":[9],"vegetation":[10],"gross":[11],"primary":[12],"productivity":[13,250],"(GPP)":[14],"model":[15,62,125,149,179,198],"because":[16],"they":[17],"provide":[18],"standardized":[19],"and":[20,51,57,81,92,95,107,138,153,244,251],"high-quality":[21],"flux":[22,32,166,206],"data":[23,33,163,216],"within":[24,39,71,128],"their":[25,97],"footprint":[26,74,168],"areas.":[27],"However,":[28],"extent":[30],"of":[31,60,117,146,175,192,204,213,230,239,248],"taken":[34],"from":[35,64,135],"a":[36,235,245],"tower":[37,167],"site":[38],"EC":[41,73],"footprint,":[42],"represented":[43],"by":[44,180],"satellite-based":[46],"grid":[47],"cell":[48],"between":[49],"Landsat":[50,80,137,162],"Moderate":[52],"Resolution":[53],"Imaging":[54],"Spectroradiometer":[55],"(MODIS),":[56],"performance":[59,145,174],"derived":[63],"Normalized":[66],"Difference":[67],"Vegetation":[68],"Index":[69],"(NDVI)":[70],"at":[75,100,104,150],"different":[76],"spatial":[77,98,202,219],"resolutions":[78],"(e.g.,":[79],"MODIS)":[82],"remain":[83],"unclear.":[84],"Here,":[85],"we":[86,142],"first":[87],"calculated":[88,134],"Landsat-footprint":[90,194],"NDVI":[91,94,127,195],"MODIS-footprint":[93],"assessed":[96,210],"representativeness":[99],"78":[101],"FLUXNET":[102],"sites":[103],"30":[105,151],"m":[106,109,152,155],"500":[108,154],"scale,":[110],"respectively.":[111],"We":[112],"then":[113],"optimized":[114,148],"parameters":[116],"revised":[119,177],"Eddy":[120],"Covariance-Light":[121],"Use":[122],"Efficiency":[123],"(EC-LUE)":[124],"using":[126],"EC-tower":[130],"footprints":[131],"that":[132,160],"were":[133],"MODIS":[139],"sensor.":[140],"Finally,":[141],"evaluated":[143],"scale.":[156],"Our":[157,208],"results":[158],"showed":[159],"matching":[161],"with":[164,217,227],"was":[169],"able":[170],"improve":[172],"EC-LUE":[178],"18%":[181],"for":[182,185,188,225],"savannas,":[183],"14%":[184],"croplands,":[186],"9%":[187],"wetlands.":[189],"The":[190],"outperformance":[191],"in":[196,221],"driving":[197],"relied":[199],"on":[200],"heterogeneity":[203,229],"sites.":[207],"study":[209],"advantages":[212],"remote":[214],"sensing":[215],"high":[218,228],"resolution":[220],"simulating":[222],"GPP,":[223],"especially":[224],"areas":[226],"landscapes.":[231],"This":[232],"could":[233],"facilitate":[234],"more":[236],"accurate":[237],"estimation":[238],"global":[240],"ecosystem":[241],"carbon":[242,252],"sink":[243],"better":[246],"understanding":[247],"plant":[249],"climate":[253],"feedbacks.":[254]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2022-12-10T00:00:00"}