{"id":"https://openalex.org/W2906300491","doi":"https://doi.org/10.3390/rs11010011","title":"Large-Scale Oil Palm Tree Detection from High-Resolution Satellite Images Using Two-Stage Convolutional Neural Networks","display_name":"Large-Scale Oil Palm Tree Detection from High-Resolution Satellite Images Using Two-Stage Convolutional Neural Networks","publication_year":2018,"publication_date":"2018-12-20","ids":{"openalex":"https://openalex.org/W2906300491","doi":"https://doi.org/10.3390/rs11010011","mag":"2906300491"},"language":"en","primary_location":{"id":"doi:10.3390/rs11010011","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11010011","pdf_url":"https://www.mdpi.com/2072-4292/11/1/11/pdf?version=1545470747","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/2072-4292/11/1/11/pdf?version=1545470747","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100613917","display_name":"Weijia Li","orcid":"https://orcid.org/0000-0003-1838-9176"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weijia Li","raw_affiliation_strings":["Joint Center for Global Change Studies (JCGCS), Beijing 100084, China","Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing 100084, China"],"affiliations":[{"raw_affiliation_string":"Joint Center for Global Change Studies (JCGCS), Beijing 100084, China","institution_ids":[]},{"raw_affiliation_string":"Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing 100084, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068349823","display_name":"Runmin Dong","orcid":"https://orcid.org/0000-0002-2999-2029"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Runmin Dong","raw_affiliation_strings":["Joint Center for Global Change Studies (JCGCS), Beijing 100084, China","Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing 100084, China"],"affiliations":[{"raw_affiliation_string":"Joint Center for Global Change Studies (JCGCS), Beijing 100084, China","institution_ids":[]},{"raw_affiliation_string":"Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing 100084, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031545295","display_name":"Haohuan Fu","orcid":"https://orcid.org/0000-0002-6982-2235"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haohuan Fu","raw_affiliation_strings":["Joint Center for Global Change Studies (JCGCS), Beijing 100084, China","Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing 100084, China"],"affiliations":[{"raw_affiliation_string":"Joint Center for Global Change Studies (JCGCS), Beijing 100084, China","institution_ids":[]},{"raw_affiliation_string":"Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing 100084, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035292711","display_name":"Le Yu","orcid":"https://orcid.org/0000-0003-3115-2042"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Le Yu","raw_affiliation_strings":["Joint Center for Global Change Studies (JCGCS), Beijing 100084, China","Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing 100084, China"],"affiliations":[{"raw_affiliation_string":"Joint Center for Global Change Studies (JCGCS), Beijing 100084, China","institution_ids":[]},{"raw_affiliation_string":"Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing 100084, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5031545295","https://openalex.org/A5035292711"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":10.737,"has_fulltext":true,"cited_by_count":160,"citation_normalized_percentile":{"value":0.99139188,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"11","issue":"1","first_page":"11","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9984999895095825,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9984999895095825,"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/T12703","display_name":"Oil Palm Production and Sustainability","score":0.9952999949455261,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9907000064849854,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7504245042800903},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7082287073135376},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5912904739379883},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5771995782852173},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5211901068687439},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48056939244270325},{"id":"https://openalex.org/keywords/stage","display_name":"Stage (stratigraphy)","score":0.47757604718208313},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.45687663555145264},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.43424245715141296},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.10205069184303284}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7504245042800903},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7082287073135376},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5912904739379883},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5771995782852173},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5211901068687439},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48056939244270325},{"id":"https://openalex.org/C146357865","wikidata":"https://www.wikidata.org/wiki/Q1123245","display_name":"Stage (stratigraphy)","level":2,"score":0.47757604718208313},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.45687663555145264},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.43424245715141296},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.10205069184303284},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs11010011","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11010011","pdf_url":"https://www.mdpi.com/2072-4292/11/1/11/pdf?version=1545470747","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:62fda5b9815a401c847ccb68213210d3","is_oa":true,"landing_page_url":"https://doaj.org/article/62fda5b9815a401c847ccb68213210d3","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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 11, Iss 1, p 11 (2018)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/11/1/11/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs11010011","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 11; Issue 1; Pages: 11","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs11010011","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11010011","pdf_url":"https://www.mdpi.com/2072-4292/11/1/11/pdf?version=1545470747","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":[{"id":"https://metadata.un.org/sdg/2","score":0.7200000286102295,"display_name":"Zero hunger"}],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3085993365","display_name":null,"funder_award_id":"(Grant No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3134736861","display_name":null,"funder_award_id":"Grant No. 5171101179","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4225186164","display_name":null,"funder_award_id":"5171101179","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5848258319","display_name":null,"funder_award_id":"0 and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5939423041","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7321677127","display_name":null,"funder_award_id":"2017YFA0604500","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7726157001","display_name":null,"funder_award_id":"Grant No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8218031721","display_name":null,"funder_award_id":"2017YFA","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"},{"id":"https://openalex.org/F4320328788","display_name":"Polit National Laboratory for Marine Science and Technology","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2906300491.pdf","grobid_xml":"https://content.openalex.org/works/W2906300491.grobid-xml"},"referenced_works_count":67,"referenced_works":["https://openalex.org/W194088189","https://openalex.org/W1958291604","https://openalex.org/W1965300016","https://openalex.org/W1970535395","https://openalex.org/W1972119192","https://openalex.org/W1984839778","https://openalex.org/W1987147225","https://openalex.org/W1990503995","https://openalex.org/W1994668970","https://openalex.org/W1997218631","https://openalex.org/W1998698620","https://openalex.org/W2001361694","https://openalex.org/W2016260129","https://openalex.org/W2019118234","https://openalex.org/W2019185548","https://openalex.org/W2029316659","https://openalex.org/W2044553963","https://openalex.org/W2066916495","https://openalex.org/W2081346862","https://openalex.org/W2085583000","https://openalex.org/W2094426943","https://openalex.org/W2098676252","https://openalex.org/W2133816178","https://openalex.org/W2135557381","https://openalex.org/W2144158466","https://openalex.org/W2149504589","https://openalex.org/W2159105546","https://openalex.org/W2163605009","https://openalex.org/W2182128045","https://openalex.org/W2302952123","https://openalex.org/W2512351403","https://openalex.org/W2515306179","https://openalex.org/W2531789853","https://openalex.org/W2542055599","https://openalex.org/W2550229534","https://openalex.org/W2562046530","https://openalex.org/W2565950292","https://openalex.org/W2577537809","https://openalex.org/W2587250427","https://openalex.org/W2591466624","https://openalex.org/W2606114596","https://openalex.org/W2610528085","https://openalex.org/W2613718673","https://openalex.org/W2616755213","https://openalex.org/W2729921439","https://openalex.org/W2733492293","https://openalex.org/W2733535455","https://openalex.org/W2735626331","https://openalex.org/W2752508182","https://openalex.org/W2757208835","https://openalex.org/W2760931451","https://openalex.org/W2768931328","https://openalex.org/W2770429219","https://openalex.org/W2775030393","https://openalex.org/W2789914625","https://openalex.org/W2792857687","https://openalex.org/W2799461311","https://openalex.org/W2803867573","https://openalex.org/W2803946774","https://openalex.org/W2810004461","https://openalex.org/W2826522980","https://openalex.org/W2898111580","https://openalex.org/W3102619772","https://openalex.org/W3106141888","https://openalex.org/W6607850517","https://openalex.org/W6674301023","https://openalex.org/W6786515285"],"related_works":["https://openalex.org/W4386259002","https://openalex.org/W1546989560","https://openalex.org/W4200112873","https://openalex.org/W2955796858","https://openalex.org/W4224941037","https://openalex.org/W2004826645","https://openalex.org/W3135818052","https://openalex.org/W4372048956","https://openalex.org/W4206989953","https://openalex.org/W4283776244"],"abstract_inverted_index":{"Being":[0],"an":[1,126,133,139],"important":[2],"economic":[3],"crop":[4],"that":[5,136],"contributes":[6],"35%":[7],"of":[8,12,19,85,90,128,138,174],"the":[9,47,120,218],"total":[10],"consumption":[11],"vegetable":[13],"oil,":[14],"remote":[15],"sensing-based":[16],"quantitative":[17],"detection":[18,48,72,124,185,221],"oil":[20,70,122,153,183],"palm":[21,71,123,154,184],"trees":[22],"has":[23],"long":[24],"been":[25],"a":[26,50,64,81,147,158,169],"key":[27],"research":[28],"direction":[29],"for":[30,43,49,93,100,125,143,152,163,192],"both":[31],"agriculture":[32],"and":[33,97,108,157,190,202,208,215],"environmental":[34],"purposes.":[35],"While":[36],"existing":[37,182],"methods":[38,186],"already":[39],"demonstrate":[40],"satisfactory":[41,54],"effectiveness":[42],"small":[44],"regions,":[45],"performing":[46],"large":[51],"region":[52],"with":[53,181,212],"accuracy":[55],"is":[56],"still":[57],"challenging.":[58],"In":[59],"this":[60],"study,":[61],"we":[62,131],"proposed":[63,132,166],"two-stage":[65],"convolutional":[66],"neural":[67],"network":[68],"(TS-CNN)-based":[69],"method":[73,142,151,162],"using":[74],"high-resolution":[75],"satellite":[76],"images":[77],"(i.e.":[78],"Quickbird)":[79],"in":[80,176,217],"large-scale":[82,121,144],"study":[83,178],"area":[84,127,179],"Malaysia.":[86],"The":[87,103],"TS-CNN":[88],"consists":[89,137],"one":[91,98],"CNN":[92,99],"land":[94],"cover":[95],"classification":[96],"object":[101],"classification.":[102],"two":[104],"CNNs":[105],"were":[106],"trained":[107],"optimized":[109],"independently":[110],"based":[111],"on":[112],"20,000":[113],"samples":[114],"collected":[115],"through":[116],"human":[117],"interpretation.":[118],"For":[119],"55":[129],"km2,":[130],"effective":[134],"workflow":[135],"overlapping":[140],"partitioning":[141],"image":[145,220],"division,":[146],"multi-scale":[148],"sliding":[149],"window":[150],"coordinate":[155],"prediction,":[156],"minimum":[159],"distance":[160],"filter":[161],"post-processing.":[164],"Our":[165],"approach":[167],"achieves":[168],"much":[170,209],"higher":[171],"average":[172],"F1-score":[173],"94.99%":[175],"our":[177],"compared":[180],"(87.95%,":[187],"81.80%,":[188],"80.61%,":[189],"78.35%":[191],"single-stage":[193],"CNN,":[194],"Support":[195],"Vector":[196],"Machine":[197],"(SVM),":[198],"Random":[199],"Forest":[200],"(RF),":[201],"Artificial":[203],"Neural":[204],"Network":[205],"(ANN),":[206],"respectively),":[207],"fewer":[210],"confusions":[211],"other":[213],"vegetation":[214],"buildings":[216],"whole":[219],"results.":[222]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":22},{"year":2023,"cited_by_count":28},{"year":2022,"cited_by_count":20},{"year":2021,"cited_by_count":40},{"year":2020,"cited_by_count":24},{"year":2019,"cited_by_count":16}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}
