{"id":"https://openalex.org/W2886106861","doi":"https://doi.org/10.3390/rs10081200","title":"Mapping up-to-Date Paddy Rice Extent at 10 M Resolution in China through the Integration of Optical and Synthetic Aperture Radar Images","display_name":"Mapping up-to-Date Paddy Rice Extent at 10 M Resolution in China through the Integration of Optical and Synthetic Aperture Radar Images","publication_year":2018,"publication_date":"2018-07-31","ids":{"openalex":"https://openalex.org/W2886106861","doi":"https://doi.org/10.3390/rs10081200","mag":"2886106861"},"language":"en","primary_location":{"id":"doi:10.3390/rs10081200","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs10081200","pdf_url":"https://www.mdpi.com/2072-4292/10/8/1200/pdf?version=1533084098","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/2072-4292/10/8/1200/pdf?version=1533084098","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100327354","display_name":"Xin Zhang","orcid":"https://orcid.org/0000-0001-7844-593X"},"institutions":[{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Zhang","raw_affiliation_strings":["Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Olympic Village Science Park, W. Beichen Road, Beijing 100101, China"],"raw_orcid":"https://orcid.org/0000-0001-7844-593X","affiliations":[{"raw_affiliation_string":"Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Olympic Village Science Park, W. Beichen Road, Beijing 100101, China","institution_ids":["https://openalex.org/I4210128053"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010666672","display_name":"Bingfang Wu","orcid":"https://orcid.org/0000-0001-5546-365X"},"institutions":[{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bingfang Wu","raw_affiliation_strings":["College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China","Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Olympic Village Science Park, W. Beichen Road, Beijing 100101, China"],"raw_orcid":"https://orcid.org/0000-0001-5546-365X","affiliations":[{"raw_affiliation_string":"College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Olympic Village Science Park, W. Beichen Road, Beijing 100101, China","institution_ids":["https://openalex.org/I4210128053"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003969258","display_name":"Guillermo E. Ponce\u2010Campos","orcid":"https://orcid.org/0000-0003-4332-338X"},"institutions":[{"id":"https://openalex.org/I4210143278","display_name":"Southwest Watershed Research Center","ror":"https://ror.org/03bxq7g45","country_code":"US","type":"facility","lineage":["https://openalex.org/I1312222531","https://openalex.org/I1336096307","https://openalex.org/I4210094889","https://openalex.org/I4210143278"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guillermo E. Ponce-Campos","raw_affiliation_strings":["USDA ARS Southwest Watershed Research, Tucson, AZ 85719, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"USDA ARS Southwest Watershed Research, Tucson, AZ 85719, USA","institution_ids":["https://openalex.org/I4210143278"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100376448","display_name":"Miao Zhang","orcid":"https://orcid.org/0000-0001-5464-1055"},"institutions":[{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Miao Zhang","raw_affiliation_strings":["Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Olympic Village Science Park, W. Beichen Road, Beijing 100101, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Olympic Village Science Park, W. Beichen Road, Beijing 100101, China","institution_ids":["https://openalex.org/I4210128053"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101835802","display_name":"Sheng Chang","orcid":"https://orcid.org/0000-0001-7870-7047"},"institutions":[{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sheng Chang","raw_affiliation_strings":["Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Olympic Village Science Park, W. Beichen Road, Beijing 100101, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Olympic Village Science Park, W. Beichen Road, Beijing 100101, China","institution_ids":["https://openalex.org/I4210128053"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087882107","display_name":"Fuyou Tian","orcid":"https://orcid.org/0000-0003-1758-8763"},"institutions":[{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuyou Tian","raw_affiliation_strings":["Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Olympic Village Science Park, W. Beichen Road, Beijing 100101, China"],"raw_orcid":"https://orcid.org/0000-0003-1758-8763","affiliations":[{"raw_affiliation_string":"Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Olympic Village Science Park, W. Beichen Road, Beijing 100101, China","institution_ids":["https://openalex.org/I4210128053"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5010666672"],"corresponding_institution_ids":["https://openalex.org/I4210128053","https://openalex.org/I4210165038"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2784},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2784},"fwci":8.526,"has_fulltext":true,"cited_by_count":133,"citation_normalized_percentile":{"value":0.98324703,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"10","issue":"8","first_page":"1200","last_page":"1200"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9995999932289124,"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":0.9995999932289124,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9944999814033508,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9915000200271606,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.7252221703529358},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.5824400186538696},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.5566853284835815},{"id":"https://openalex.org/keywords/geospatial-analysis","display_name":"Geospatial analysis","score":0.4535672068595886},{"id":"https://openalex.org/keywords/paddy-field","display_name":"Paddy field","score":0.4275780916213989},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4158513844013214},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3788268566131592},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.3391430974006653}],"concepts":[{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.7252221703529358},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.5824400186538696},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5566853284835815},{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.4535672068595886},{"id":"https://openalex.org/C85582077","wikidata":"https://www.wikidata.org/wiki/Q842623","display_name":"Paddy field","level":2,"score":0.4275780916213989},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4158513844013214},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3788268566131592},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.3391430974006653},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs10081200","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs10081200","pdf_url":"https://www.mdpi.com/2072-4292/10/8/1200/pdf?version=1533084098","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:4ce066667ac149ba8ebc2144e0b4d091","is_oa":true,"landing_page_url":"https://doaj.org/article/4ce066667ac149ba8ebc2144e0b4d091","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 10, Iss 8, p 1200 (2018)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/10/8/1200/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs10081200","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 10; Issue 8; Pages: 1200","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs10081200","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs10081200","pdf_url":"https://www.mdpi.com/2072-4292/10/8/1200/pdf?version=1533084098","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":"Clean water and sanitation","id":"https://metadata.un.org/sdg/6","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2886106861.pdf","grobid_xml":"https://content.openalex.org/works/W2886106861.grobid-xml"},"referenced_works_count":76,"referenced_works":["https://openalex.org/W61533110","https://openalex.org/W184285188","https://openalex.org/W1535314066","https://openalex.org/W1581410248","https://openalex.org/W1652775531","https://openalex.org/W1793583482","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1966588390","https://openalex.org/W1978617972","https://openalex.org/W1981213426","https://openalex.org/W1984670836","https://openalex.org/W1987161776","https://openalex.org/W1990244654","https://openalex.org/W1998281138","https://openalex.org/W1999277905","https://openalex.org/W2001510610","https://openalex.org/W2003668322","https://openalex.org/W2006558669","https://openalex.org/W2011010318","https://openalex.org/W2015159529","https://openalex.org/W2028933578","https://openalex.org/W2040218731","https://openalex.org/W2044609898","https://openalex.org/W2058723831","https://openalex.org/W2061240006","https://openalex.org/W2075001972","https://openalex.org/W2076243827","https://openalex.org/W2082161640","https://openalex.org/W2083745674","https://openalex.org/W2084744129","https://openalex.org/W2084906573","https://openalex.org/W2085241781","https://openalex.org/W2089208244","https://openalex.org/W2089554460","https://openalex.org/W2096579040","https://openalex.org/W2097250277","https://openalex.org/W2105554350","https://openalex.org/W2105954673","https://openalex.org/W2106256460","https://openalex.org/W2109090765","https://openalex.org/W2113242816","https://openalex.org/W2113410727","https://openalex.org/W2114832532","https://openalex.org/W2115525646","https://openalex.org/W2118246710","https://openalex.org/W2119295421","https://openalex.org/W2119879130","https://openalex.org/W2122374500","https://openalex.org/W2133941557","https://openalex.org/W2144841545","https://openalex.org/W2146497894","https://openalex.org/W2150914621","https://openalex.org/W2160566385","https://openalex.org/W2266309631","https://openalex.org/W2290326488","https://openalex.org/W2356397058","https://openalex.org/W2402632305","https://openalex.org/W2404000639","https://openalex.org/W2468363661","https://openalex.org/W2527276685","https://openalex.org/W2531168480","https://openalex.org/W2540777836","https://openalex.org/W2548388936","https://openalex.org/W2552224582","https://openalex.org/W2560167313","https://openalex.org/W2585309444","https://openalex.org/W2592849532","https://openalex.org/W2593950021","https://openalex.org/W2620657726","https://openalex.org/W2621021710","https://openalex.org/W2725897987","https://openalex.org/W2745131289","https://openalex.org/W2751786729","https://openalex.org/W2766727660","https://openalex.org/W4212883601"],"related_works":["https://openalex.org/W4367313141","https://openalex.org/W2004086023","https://openalex.org/W2733999579","https://openalex.org/W2110217573","https://openalex.org/W4283374591","https://openalex.org/W2910751785","https://openalex.org/W4390100400","https://openalex.org/W4362512700","https://openalex.org/W4366547507","https://openalex.org/W4252699458"],"abstract_inverted_index":{"Rice":[0],"is":[1,72],"a":[2,73,99,166,197,207],"staple":[3],"food":[4,39],"in":[5,135,144,181,217,248,258,270],"East":[6],"Asia":[7],"and":[8,22,41,64,98,104,110,149,153,161,256,264,268],"Southeast":[9],"Asia\u2014an":[10],"area":[11,221],"that":[12,223],"accounts":[13],"for":[14,55,82,252,262,274],"more":[15],"than":[16],"half":[17],"of":[18,24,59,96,102,169],"the":[19,51,56,93,122,136,140,177,182,193,203,218,249,259,271],"world\u2019s":[20],"population,":[21],"11%":[23],"its":[25],"cultivated":[26],"land.":[27],"Studies":[28],"on":[29,38],"rice":[30,125,142,219],"monitoring":[31,58],"can":[32],"provide":[33],"direct":[34],"or":[35],"indirect":[36],"information":[37],"security,":[40],"water":[42,111],"source":[43],"management.":[44],"Remote":[45],"sensing":[46],"has":[47],"proven":[48],"to":[49,78,164,188],"be":[50],"most":[52,224],"effective":[53],"method":[54],"large-scale":[57],"croplands,":[60],"by":[61,91,238],"using":[62],"temporary":[63],"spectral":[65],"information.":[66],"The":[67,229,243],"Google":[68],"Earth":[69],"Engine":[70],"(GEE)":[71],"cloud-based":[74],"platform":[75],"providing":[76],"access":[77],"high-performance":[79],"computing":[80],"resources":[81],"processing":[83],"extremely":[84],"large":[85,100],"geospatial":[86],"datasets.":[87],"In":[88],"this":[89],"study,":[90],"leveraging":[92],"computational":[94],"power":[95],"GEE":[97],"pool":[101],"satellite":[103],"other":[105],"geophysical":[106],"data":[107,158,171,222],"(e.g.,":[108],"forest":[109,199],"extent":[112,126],"maps,":[113],"with":[114,128,139,202],"high":[115,189],"accuracy":[116,231],"at":[117,131,186],"30":[118],"m),":[119],"we":[120,191],"generated":[121],"first":[123],"up-to-date":[124,170],"map":[127],"crop":[129,240],"intensity,":[130],"10":[132],"m":[133],"resolution":[134],"three":[137],"provinces":[138],"highest":[141],"production":[143],"China":[145],"(the":[146],"Heilongjiang,":[147],"Hunan":[148,260],"Guangxi":[150,272],"provinces).":[151],"Optical":[152],"synthetic":[154],"aperture":[155],"radar":[156],"(SAR)":[157],"were":[159],"monthly":[160],"metric":[162],"composited":[163],"ensure":[165],"sufficient":[167],"amount":[168],"without":[172],"cloud":[173],"interference.":[174],"To":[175],"remove":[176],"common":[178],"confounding":[179],"noise":[180],"pixel-based":[183,194],"classification":[184,195],"results":[185],"medium":[187],"resolution,":[190],"integrated":[192],"(using":[196,206],"random":[198],"classifier)":[200],"result":[201],"object-based":[204],"segmentation":[205],"simple":[208],"linear":[209],"iterative":[210],"clustering":[211],"(SLIC)":[212],"method).":[213],"This":[214],"integration":[215],"resulted":[216],"planted":[220],"closely":[225],"resembled":[226],"official":[227],"statistics.":[228],"overall":[230],"was":[232,236],"approximately":[233],"90%,":[234],"which":[235],"validated":[237],"ground":[239],"field":[241],"points.":[242],"F":[244],"scores":[245],"reached":[246],"87.78%":[247],"Heilongjiang":[250],"Province":[251,261,273],"monocropped":[253],"rice,":[254,266],"89.97%":[255],"80.00%":[257],"mono-":[263],"double-cropped":[265,275],"respectively,":[267],"88.24%":[269],"rice.":[276]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":24},{"year":2022,"cited_by_count":23},{"year":2021,"cited_by_count":26},{"year":2020,"cited_by_count":15},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}
