{"id":"https://openalex.org/W2954321364","doi":"https://doi.org/10.1109/lgrs.2019.2920660","title":"A New Geolocation Error Estimation Method in MWRI Data Aboard FY3 Series Satellites","display_name":"A New Geolocation Error Estimation Method in MWRI Data Aboard FY3 Series Satellites","publication_year":2019,"publication_date":"2019-06-25","ids":{"openalex":"https://openalex.org/W2954321364","doi":"https://doi.org/10.1109/lgrs.2019.2920660","mag":"2954321364"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2019.2920660","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2019.2920660","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","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/A5072899107","display_name":"Weifu Li","orcid":"https://orcid.org/0000-0002-8444-9782"},"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/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I75900474","display_name":"Hubei University","ror":"https://ror.org/03a60m280","country_code":"CN","type":"education","lineage":["https://openalex.org/I75900474"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weifu Li","raw_affiliation_strings":["Faculty of Mathematics and Statistics, Hubei University, Wuhan, China","National Laboratory of Pattern Recognition Institute of Automation, Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8444-9782","affiliations":[{"raw_affiliation_string":"Faculty of Mathematics and Statistics, Hubei University, Wuhan, China","institution_ids":["https://openalex.org/I75900474"]},{"raw_affiliation_string":"National Laboratory of Pattern Recognition Institute of Automation, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101444961","display_name":"Xinghui Zhao","orcid":"https://orcid.org/0000-0002-9405-1014"},"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/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I75900474","display_name":"Hubei University","ror":"https://ror.org/03a60m280","country_code":"CN","type":"education","lineage":["https://openalex.org/I75900474"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinghui Zhao","raw_affiliation_strings":["Faculty of Mathematics and Statistics, Hubei University, Wuhan, China","National Laboratory of Pattern Recognition Institute of Automation, Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-9405-1014","affiliations":[{"raw_affiliation_string":"Faculty of Mathematics and Statistics, Hubei University, Wuhan, China","institution_ids":["https://openalex.org/I75900474"]},{"raw_affiliation_string":"National Laboratory of Pattern Recognition Institute of Automation, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036030486","display_name":"Jiangtao Peng","orcid":"https://orcid.org/0000-0002-4759-0584"},"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/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I75900474","display_name":"Hubei University","ror":"https://ror.org/03a60m280","country_code":"CN","type":"education","lineage":["https://openalex.org/I75900474"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangtao Peng","raw_affiliation_strings":["Faculty of Mathematics and Statistics, Hubei University, Wuhan, China","National Laboratory of Pattern Recognition Institute of Automation, Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4759-0584","affiliations":[{"raw_affiliation_string":"Faculty of Mathematics and Statistics, Hubei University, Wuhan, China","institution_ids":["https://openalex.org/I75900474"]},{"raw_affiliation_string":"National Laboratory of Pattern Recognition Institute of Automation, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112288238","display_name":"Zhicheng Luo","orcid":null},"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/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I75900474","display_name":"Hubei University","ror":"https://ror.org/03a60m280","country_code":"CN","type":"education","lineage":["https://openalex.org/I75900474"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhicheng Luo","raw_affiliation_strings":["Faculty of Mathematics and Statistics, Hubei University, Wuhan, China","National Laboratory of Pattern Recognition Institute of Automation, Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Mathematics and Statistics, Hubei University, Wuhan, China","institution_ids":["https://openalex.org/I75900474"]},{"raw_affiliation_string":"National Laboratory of Pattern Recognition Institute of Automation, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108415540","display_name":"Lijun Shen","orcid":null},"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/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lijun Shen","raw_affiliation_strings":["National Laboratory of Pattern Recognition Institute of Automation, Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition Institute of Automation, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100676754","display_name":"Hua Han","orcid":"https://orcid.org/0000-0003-4713-4631"},"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/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua Han","raw_affiliation_strings":["National Laboratory of Pattern Recognition Institute of Automation, Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition Institute of Automation, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100364166","display_name":"Peng Zhang","orcid":"https://orcid.org/0000-0002-7115-1389"},"institutions":[{"id":"https://openalex.org/I141301092","display_name":"China Meteorological Administration","ror":"https://ror.org/00bx3rb98","country_code":"CN","type":"government","lineage":["https://openalex.org/I141301092"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Zhang","raw_affiliation_strings":["National Satellite Meteorological Center, China Meteorological Administration, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7115-1389","affiliations":[{"raw_affiliation_string":"National Satellite Meteorological Center, China Meteorological Administration, Beijing, China","institution_ids":["https://openalex.org/I141301092"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100628128","display_name":"Lei Yang","orcid":"https://orcid.org/0000-0002-8689-808X"},"institutions":[{"id":"https://openalex.org/I141301092","display_name":"China Meteorological Administration","ror":"https://ror.org/00bx3rb98","country_code":"CN","type":"government","lineage":["https://openalex.org/I141301092"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Yang","raw_affiliation_strings":["National Satellite Meteorological Center, China Meteorological Administration, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8689-808X","affiliations":[{"raw_affiliation_string":"National Satellite Meteorological Center, China Meteorological Administration, Beijing, China","institution_ids":["https://openalex.org/I141301092"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5072899107"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150","https://openalex.org/I75900474"],"apc_list":null,"apc_paid":null,"fwci":0.8737,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.73623197,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"17","issue":"2","first_page":"197","last_page":"201"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11234","display_name":"Precipitation Measurement and Analysis","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T11234","display_name":"Precipitation Measurement and Analysis","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T10466","display_name":"Meteorological Phenomena and Simulations","score":0.9962000250816345,"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"}},{"id":"https://openalex.org/T11405","display_name":"Geophysics and Gravity Measurements","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"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/geolocation","display_name":"Geolocation","score":0.8828085660934448},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5902444124221802},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5508850812911987},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5022444725036621},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.42516911029815674},{"id":"https://openalex.org/keywords/geodesy","display_name":"Geodesy","score":0.4234459400177002},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.42108353972435},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.23578324913978577},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09444275498390198},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.07558125257492065}],"concepts":[{"id":"https://openalex.org/C22041718","wikidata":"https://www.wikidata.org/wiki/Q638949","display_name":"Geolocation","level":2,"score":0.8828085660934448},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5902444124221802},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5508850812911987},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5022444725036621},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.42516911029815674},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.4234459400177002},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.42108353972435},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.23578324913978577},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09444275498390198},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.07558125257492065},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2019.2920660","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2019.2920660","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","display_name":"Life below water","score":0.8100000023841858}],"awards":[{"id":"https://openalex.org/G1215138574","display_name":"\u6c14\u8c61\u536b\u661f\u56fe\u50cf\u5bfc\u822a\u5728\u8f68\u6027\u80fd\u8bc4\u4ef7\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61172113","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2473777037","display_name":null,"funder_award_id":"YZ201671","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G5679112829","display_name":null,"funder_award_id":"91338109","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5705954559","display_name":null,"funder_award_id":"61673381","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5745640903","display_name":"\u9ad8\u5149\u8c31\u9065\u611f\u56fe\u50cf\u7684\u9c81\u68d2\u6838\u7a7a\u95f4\u8054\u5408\u7a00\u758f\u8868\u793a\u7814\u7a76","funder_award_id":"61871177","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6859874586","display_name":null,"funder_award_id":"61701497","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7879529582","display_name":null,"funder_award_id":"11771130","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/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1653734818","https://openalex.org/W1951651669","https://openalex.org/W1985625136","https://openalex.org/W2006800658","https://openalex.org/W2032930731","https://openalex.org/W2048294700","https://openalex.org/W2049981393","https://openalex.org/W2059469795","https://openalex.org/W2107892521","https://openalex.org/W2110307296","https://openalex.org/W2114779949","https://openalex.org/W2134236847","https://openalex.org/W2144951835","https://openalex.org/W2150355785","https://openalex.org/W2159400622","https://openalex.org/W2589058957","https://openalex.org/W2753248899","https://openalex.org/W2793357412","https://openalex.org/W2894049188","https://openalex.org/W2953599446","https://openalex.org/W6637096309"],"related_works":["https://openalex.org/W2032930731","https://openalex.org/W3106486436","https://openalex.org/W2292316726","https://openalex.org/W2547153065","https://openalex.org/W3176418897","https://openalex.org/W1968718753","https://openalex.org/W4296533971","https://openalex.org/W2158738925","https://openalex.org/W171526747","https://openalex.org/W2908596482"],"abstract_inverted_index":{"Known":[0],"as":[1],"input":[2],"in":[3,55,145,164],"the":[4,20,24,32,37,52,60,66,86,91,99,102,106,114,126,153,165,182,188],"numerical":[5],"weather":[6],"prediction":[7],"(NWP)":[8],"models,":[9],"microwave":[10],"radiation":[11],"imager":[12],"(MWRI)":[13],"data":[14,137],"have":[15,133,150],"been":[16],"widely":[17],"distributed":[18],"to":[19,36,50,59,84,97,142,176,196],"user":[21],"community.":[22],"Nevertheless,":[23],"current":[25],"operational":[26,154],"geolocation":[27,40,53,122,157,189],"accuracy":[28,190],"is":[29],"still":[30],"on":[31],"pixel":[33],"scale":[34],"due":[35],"presence":[38],"of":[39],"uncertainty.":[41],"In":[42],"this":[43],"letter,":[44],"we":[45,73,89,132],"propose":[46],"a":[47,75,119],"new":[48],"method":[49,64,68,116],"estimate":[51],"errors":[54,158],"MWRI":[56,136,156],"data.":[57],"Compared":[58],"traditional":[61],"coastline":[62,104],"inflection":[63],"(CIM),":[65],"proposed":[67,115],"has":[69,191],"two":[70],"innovations.":[71],"First,":[72],"establish":[74],"surface":[76],"fitting":[77],"interpolation":[78],"model":[79],"by":[80],"involving":[81],"more":[82,120],"observations":[83],"detect":[85],"coastline.":[87,108],"Second,":[88],"employ":[90],"iterative":[92],"closest":[93],"point":[94],"(ICP)":[95],"algorithm":[96],"determine":[98],"correspondences":[100],"between":[101],"detected":[103],"and":[105,161,167,178],"actual":[107],"Simulated":[109],"experimental":[110,148],"results":[111,149],"demonstrate":[112],"that":[113,152,187],"can":[117,172],"provide":[118],"accurate":[121],"error":[123],"estimation":[124],"than":[125],"CIM.":[127],"By":[128],"applying":[129],"our":[130],"method,":[131],"processed":[134],"an":[135,192],"set":[138],"from":[139],"January":[140],"1":[141],"February":[143],"28":[144],"2016.":[146],"The":[147],"shown":[151],"FY-3C":[155],"are":[159],"0.4813":[160],"0.4909":[162],"pixels":[163,180],"along-track":[166],"cross-track":[168],"directions,":[169],"respectively,":[170],"which":[171],"be":[173],"significantly":[174],"reduced":[175],"0.1299":[177],"0.1497":[179],"after":[181],"attitude":[183],"correction.":[184],"It":[185],"means":[186],"average":[193],"improvement":[194],"up":[195],"70%.":[197]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-06T09:05:17.133730","created_date":"2025-10-10T00:00:00"}