{"id":"https://openalex.org/W2303440783","doi":"https://doi.org/10.3390/rs8040272","title":"An Automatic Procedure for Early Disaster Change Mapping Based on Optical Remote Sensing","display_name":"An Automatic Procedure for Early Disaster Change Mapping Based on Optical Remote Sensing","publication_year":2016,"publication_date":"2016-03-26","ids":{"openalex":"https://openalex.org/W2303440783","doi":"https://doi.org/10.3390/rs8040272","mag":"2303440783"},"language":"en","primary_location":{"id":"doi:10.3390/rs8040272","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs8040272","pdf_url":"https://www.mdpi.com/2072-4292/8/4/272/pdf?version=1458999151","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/2072-4292/8/4/272/pdf?version=1458999151","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002618865","display_name":"Yong Ma","orcid":"https://orcid.org/0000-0002-1116-0662"},"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/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"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":false,"raw_author_name":"Yong Ma","raw_affiliation_strings":["Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China","University of Chinese Academy of Sciences, Beijing 100049, China"],"affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I4210128053","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015142571","display_name":"Chen Fu","orcid":"https://orcid.org/0000-0002-0397-7656"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"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":true,"raw_author_name":"Fu Chen","raw_affiliation_strings":["Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China"],"affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I4210128053","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100361569","display_name":"Jianbo Liu","orcid":"https://orcid.org/0000-0001-6301-0466"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"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":"Jianbo Liu","raw_affiliation_strings":["Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China"],"affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I4210128053","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102010524","display_name":"Yang He","orcid":"https://orcid.org/0000-0001-8280-1343"},"institutions":[{"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"]},{"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/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang He","raw_affiliation_strings":["Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China","University of Chinese Academy of Sciences, Beijing 100049, China"],"affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I4210128053","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020616322","display_name":"Jianbo Duan","orcid":null},"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/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianbo Duan","raw_affiliation_strings":["Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China"],"affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I4210128053","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078395312","display_name":"Xinpeng Li","orcid":"https://orcid.org/0000-0002-4630-2181"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"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":"Xinpeng Li","raw_affiliation_strings":["Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China"],"affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I4210128053","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5015142571"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210128053"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":3.2295,"has_fulltext":true,"cited_by_count":36,"citation_normalized_percentile":{"value":0.92794396,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"8","issue":"4","first_page":"272","last_page":"272"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer 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":0.7337929010391235},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.6839824914932251},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5072519183158875},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.48649948835372925},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.46291759610176086},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45542117953300476},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.4287768602371216},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40586400032043457},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3872328996658325},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.25069865584373474},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.14366737008094788}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7337929010391235},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.6839824914932251},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5072519183158875},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.48649948835372925},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.46291759610176086},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45542117953300476},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.4287768602371216},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40586400032043457},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3872328996658325},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.25069865584373474},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.14366737008094788}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs8040272","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs8040272","pdf_url":"https://www.mdpi.com/2072-4292/8/4/272/pdf?version=1458999151","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:a9c8afe17f764fd3a1efaddea507877c","is_oa":true,"landing_page_url":"https://doaj.org/article/a9c8afe17f764fd3a1efaddea507877c","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 8, Iss 4, p 272 (2016)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/8/4/272/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs8040272","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 8; Issue 4; Pages: 272","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs8040272","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs8040272","pdf_url":"https://www.mdpi.com/2072-4292/8/4/272/pdf?version=1458999151","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":[{"score":0.7599999904632568,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320326446","display_name":"National Development and Reform Commission","ror":"https://ror.org/017a59b72"},{"id":"https://openalex.org/F4320336006","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2303440783.pdf","grobid_xml":"https://content.openalex.org/works/W2303440783.grobid-xml"},"referenced_works_count":66,"referenced_works":["https://openalex.org/W57444138","https://openalex.org/W106317687","https://openalex.org/W148878710","https://openalex.org/W1503647171","https://openalex.org/W1562235255","https://openalex.org/W1581573489","https://openalex.org/W1949717183","https://openalex.org/W1968027854","https://openalex.org/W1970928383","https://openalex.org/W1971307900","https://openalex.org/W1982867473","https://openalex.org/W1998595580","https://openalex.org/W2007153649","https://openalex.org/W2015591054","https://openalex.org/W2020679958","https://openalex.org/W2028240797","https://openalex.org/W2030233188","https://openalex.org/W2032275874","https://openalex.org/W2045458899","https://openalex.org/W2055632093","https://openalex.org/W2061456461","https://openalex.org/W2067751945","https://openalex.org/W2068124105","https://openalex.org/W2071170550","https://openalex.org/W2072451313","https://openalex.org/W2073989960","https://openalex.org/W2075712036","https://openalex.org/W2079740553","https://openalex.org/W2080135326","https://openalex.org/W2081758879","https://openalex.org/W2085793179","https://openalex.org/W2087004715","https://openalex.org/W2088603520","https://openalex.org/W2090702492","https://openalex.org/W2095396982","https://openalex.org/W2097897435","https://openalex.org/W2100189541","https://openalex.org/W2109526535","https://openalex.org/W2110231729","https://openalex.org/W2111809230","https://openalex.org/W2112693869","https://openalex.org/W2121122468","https://openalex.org/W2124967418","https://openalex.org/W2129953395","https://openalex.org/W2130334431","https://openalex.org/W2130578993","https://openalex.org/W2132625770","https://openalex.org/W2133081420","https://openalex.org/W2139027584","https://openalex.org/W2148510064","https://openalex.org/W2151103935","https://openalex.org/W2157854620","https://openalex.org/W2159093295","https://openalex.org/W2160344148","https://openalex.org/W2163311420","https://openalex.org/W2163334907","https://openalex.org/W2170261551","https://openalex.org/W2170535121","https://openalex.org/W2172188317","https://openalex.org/W2333877440","https://openalex.org/W2388516880","https://openalex.org/W4285719527","https://openalex.org/W6604338981","https://openalex.org/W6669217448","https://openalex.org/W6678689531","https://openalex.org/W6986927370"],"related_works":["https://openalex.org/W3034955165","https://openalex.org/W2094920358","https://openalex.org/W2041448692","https://openalex.org/W2247121321","https://openalex.org/W2391926582","https://openalex.org/W2087391438","https://openalex.org/W1966831329","https://openalex.org/W2316074893","https://openalex.org/W2020188645","https://openalex.org/W2952736244"],"abstract_inverted_index":{"Disaster":[0],"change":[1],"mapping,":[2],"which":[3,164],"can":[4,193],"provide":[5,64],"accurate":[6],"and":[7,17,26,63,93,115,134,138,162,169],"timely":[8],"changed":[9],"information":[10,67],"(e.g.,":[11],"damaged":[12],"buildings,":[13],"accessibility":[14],"of":[15,59,72,80,127,131,140],"road":[16],"the":[18,57,65,69,128,132,136],"shelter":[19],"sites)":[20],"for":[21,30,36,90,104,118],"decision":[22],"makers":[23],"to":[24,50,55,107,124,187,196],"guide":[25],"support":[27],"a":[28,73,78,94,146],"plan":[29],"coordinating":[31],"emergency":[32,66],"rescue,":[33],"is":[34,180],"critical":[35],"early":[37,70],"disaster":[38,133],"rescue.":[39],"In":[40],"this":[41],"paper,":[42],"we":[43],"focus":[44],"on":[45,154],"optical":[46,60,100],"remote":[47],"sensing":[48],"data":[49,61],"propose":[51],"an":[52,85],"automatic":[53],"procedure":[54,76,179],"reduce":[56],"impacts":[58],"limitations":[62],"in":[68,159],"phases":[71],"disaster.":[74],"The":[75,178],"utilizes":[77],"series":[79],"new":[81],"methods,":[82],"such":[83],"as":[84,150],"Optimizable":[86],"Variational":[87],"Model":[88],"(OptVM)":[89],"image":[91,105],"fusion":[92],"scale-invariant":[95],"feature":[96],"transform":[97],"(SIFT)":[98],"constraint":[99],"flow":[101],"method":[102],"(SIFT-OFM)":[103],"registration,":[106],"produce":[108],"product":[109,143],"maps":[110,114,117,144],"including":[111],"cloudless":[112],"backdrop":[113],"change-detection":[116],"catastrophic":[119],"event":[120],"regions,":[121],"helping":[122],"people":[123],"be":[125,194],"aware":[126],"whole":[129],"scope":[130],"assess":[135],"distribution":[137],"magnitude":[139],"damage.":[141],"These":[142],"have":[145],"rather":[147],"high":[148,155],"accuracy":[149],"they":[151],"are":[152],"based":[153],"precision":[156],"preprocessing":[157],"results":[158],"spectral":[160],"consistency":[161],"geometric,":[163],"compared":[165],"with":[166],"traditional":[167],"fused":[168],"registration":[170],"methods":[171],"by":[172],"visual":[173],"qualitative":[174],"or":[175],"quantitative":[176],"analysis.":[177],"fully":[181],"automated":[182],"without":[183],"any":[184],"manual":[185],"intervention":[186],"save":[188],"response":[189],"time.":[190],"It":[191],"also":[192],"applied":[195],"many":[197],"situations.":[198]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}