{"id":"https://openalex.org/W2944418962","doi":"https://doi.org/10.3390/rs11091044","title":"Multi-Scale Semantic Segmentation and Spatial Relationship Recognition of Remote Sensing Images Based on an Attention Model","display_name":"Multi-Scale Semantic Segmentation and Spatial Relationship Recognition of Remote Sensing Images Based on an Attention Model","publication_year":2019,"publication_date":"2019-05-02","ids":{"openalex":"https://openalex.org/W2944418962","doi":"https://doi.org/10.3390/rs11091044","mag":"2944418962"},"language":"en","primary_location":{"id":"doi:10.3390/rs11091044","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11091044","pdf_url":"https://www.mdpi.com/2072-4292/11/9/1044/pdf?version=1557364921","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/2072-4292/11/9/1044/pdf?version=1557364921","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101690223","display_name":"Wei Cui","orcid":"https://orcid.org/0000-0002-6857-3417"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wei Cui","raw_affiliation_strings":["School of Resources and Environmental Engineering, Wuhan University of Technology, Wuhan 430070, China"],"affiliations":[{"raw_affiliation_string":"School of Resources and Environmental Engineering, Wuhan University of Technology, Wuhan 430070, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100455958","display_name":"Fei Wang","orcid":"https://orcid.org/0000-0003-3462-8472"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Wang","raw_affiliation_strings":["School of Resources and Environmental Engineering, Wuhan University of Technology, Wuhan 430070, China"],"affiliations":[{"raw_affiliation_string":"School of Resources and Environmental Engineering, Wuhan University of Technology, Wuhan 430070, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034774039","display_name":"Xin He","orcid":"https://orcid.org/0000-0001-8764-8157"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin He","raw_affiliation_strings":["School of Resources and Environmental Engineering, Wuhan University of Technology, Wuhan 430070, China"],"affiliations":[{"raw_affiliation_string":"School of Resources and Environmental Engineering, Wuhan University of Technology, Wuhan 430070, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066077544","display_name":"Dongyou Zhang","orcid":"https://orcid.org/0000-0002-0852-4410"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongyou Zhang","raw_affiliation_strings":["School of Resources and Environmental Engineering, Wuhan University of Technology, Wuhan 430070, China"],"affiliations":[{"raw_affiliation_string":"School of Resources and Environmental Engineering, Wuhan University of Technology, Wuhan 430070, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058178788","display_name":"Xuxiang Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuxiang Xu","raw_affiliation_strings":["School of Resources and Environmental Engineering, Wuhan University of Technology, Wuhan 430070, China"],"affiliations":[{"raw_affiliation_string":"School of Resources and Environmental Engineering, Wuhan University of Technology, Wuhan 430070, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100885945","display_name":"Yao Meng","orcid":null},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Yao","raw_affiliation_strings":["School of Resources and Environmental Engineering, Wuhan University of Technology, Wuhan 430070, China"],"affiliations":[{"raw_affiliation_string":"School of Resources and Environmental Engineering, Wuhan University of Technology, Wuhan 430070, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100389369","display_name":"Ziwei Wang","orcid":"https://orcid.org/0000-0002-0107-7347"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziwei Wang","raw_affiliation_strings":["School of Resources and Environmental Engineering, Wuhan University of Technology, Wuhan 430070, China"],"affiliations":[{"raw_affiliation_string":"School of Resources and Environmental Engineering, Wuhan University of Technology, Wuhan 430070, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100726374","display_name":"Jiejun Huang","orcid":"https://orcid.org/0000-0003-2595-4946"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiejun Huang","raw_affiliation_strings":["School of Resources and Environmental Engineering, Wuhan University of Technology, Wuhan 430070, China"],"affiliations":[{"raw_affiliation_string":"School of Resources and Environmental Engineering, Wuhan University of Technology, Wuhan 430070, China","institution_ids":["https://openalex.org/I196699116"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5101690223"],"corresponding_institution_ids":["https://openalex.org/I196699116"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":2.9355,"has_fulltext":true,"cited_by_count":61,"citation_normalized_percentile":{"value":0.93045284,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"11","issue":"9","first_page":"1044","last_page":"1044"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9998000264167786,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9993000030517578,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.8230467438697815},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6619574427604675},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5831013321876526},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5539780259132385},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.520962119102478},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4796629250049591},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.47638529539108276},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4432923197746277},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.42798590660095215},{"id":"https://openalex.org/keywords/spatial-relation","display_name":"Spatial relation","score":0.4183931052684784},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4143625497817993},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38326478004455566},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.08813470602035522},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08131006360054016}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8230467438697815},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6619574427604675},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5831013321876526},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5539780259132385},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.520962119102478},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4796629250049591},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.47638529539108276},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4432923197746277},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.42798590660095215},{"id":"https://openalex.org/C27511587","wikidata":"https://www.wikidata.org/wiki/Q2178623","display_name":"Spatial relation","level":2,"score":0.4183931052684784},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4143625497817993},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38326478004455566},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.08813470602035522},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08131006360054016}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs11091044","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11091044","pdf_url":"https://www.mdpi.com/2072-4292/11/9/1044/pdf?version=1557364921","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:aac1ebb2e0df4f858df8114eff38ca8d","is_oa":true,"landing_page_url":"https://doaj.org/article/aac1ebb2e0df4f858df8114eff38ca8d","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 9, p 1044 (2019)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/11/9/1044/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs11091044","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","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs11091044","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11091044","pdf_url":"https://www.mdpi.com/2072-4292/11/9/1044/pdf?version=1557364921","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":0.6000000238418579,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2944418962.pdf","grobid_xml":"https://content.openalex.org/works/W2944418962.grobid-xml"},"referenced_works_count":65,"referenced_works":["https://openalex.org/W1514535095","https://openalex.org/W1521436688","https://openalex.org/W1895577753","https://openalex.org/W1901129140","https://openalex.org/W1905882502","https://openalex.org/W1956340063","https://openalex.org/W1973749534","https://openalex.org/W2064675550","https://openalex.org/W2070452328","https://openalex.org/W2076063813","https://openalex.org/W2085625911","https://openalex.org/W2098676252","https://openalex.org/W2101105183","https://openalex.org/W2103316308","https://openalex.org/W2112796928","https://openalex.org/W2123434492","https://openalex.org/W2133512280","https://openalex.org/W2176263492","https://openalex.org/W2253590344","https://openalex.org/W2291068538","https://openalex.org/W2302086703","https://openalex.org/W2344884875","https://openalex.org/W2395611524","https://openalex.org/W2510520237","https://openalex.org/W2512351403","https://openalex.org/W2546910646","https://openalex.org/W2567026239","https://openalex.org/W2575842049","https://openalex.org/W2600746131","https://openalex.org/W2602024454","https://openalex.org/W2603566245","https://openalex.org/W2607768201","https://openalex.org/W2727875856","https://openalex.org/W2779054585","https://openalex.org/W2788418738","https://openalex.org/W2791219905","https://openalex.org/W2798959609","https://openalex.org/W2804009169","https://openalex.org/W2808138519","https://openalex.org/W2886493749","https://openalex.org/W2888733778","https://openalex.org/W2889420595","https://openalex.org/W2893756180","https://openalex.org/W2895473315","https://openalex.org/W2898941977","https://openalex.org/W2900094710","https://openalex.org/W2900626451","https://openalex.org/W2900733456","https://openalex.org/W2902505103","https://openalex.org/W2902540630","https://openalex.org/W2906300491","https://openalex.org/W2911584214","https://openalex.org/W2912114399","https://openalex.org/W2913160016","https://openalex.org/W2913594625","https://openalex.org/W2919115771","https://openalex.org/W2920981979","https://openalex.org/W2963446712","https://openalex.org/W2963854789","https://openalex.org/W3100245404","https://openalex.org/W3122033040","https://openalex.org/W3122507398","https://openalex.org/W4240485910","https://openalex.org/W6682631176","https://openalex.org/W6758778857"],"related_works":["https://openalex.org/W4391621807","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4391621790","https://openalex.org/W2520082489","https://openalex.org/W2362913948","https://openalex.org/W2116266067","https://openalex.org/W2027795965","https://openalex.org/W2364189591","https://openalex.org/W2028237718"],"abstract_inverted_index":{"A":[0],"comprehensive":[1],"interpretation":[2,104],"of":[3,18,27,58,111,184,197,274],"remote":[4,10,40,48,77,101,139,155,198,207,213,229,276],"sensing":[5,11,41,49,78,102,140,156,199,208,214,230,277],"images":[6],"involves":[7],"not":[8],"only":[9,86],"object":[12,50,231,245],"recognition":[13,17,51,232],"but":[14],"also":[15],"the":[16,25,31,34,56,107,112,150,163,167,185,193,206,212,238,255,267,271,275,289,295,304,310],"spatial":[19,35,82,144,173,219,256,281],"relations":[20],"between":[21,240,292,307],"objects.":[22,200],"Especially":[23],"in":[24,242],"case":[26],"different":[28,172],"objects":[29,42,79,141,215,261,278],"with":[30,46,222],"same":[32,164],"spectrum,":[33],"relationship":[36,83,145,239,257,282],"can":[37],"help":[38],"interpret":[39],"more":[43],"accurately.":[44],"Compared":[45],"traditional":[47],"methods,":[52],"deep":[53,90,117],"learning":[54,91],"has":[55,325],"advantages":[57],"high":[59],"accuracy":[60],"and":[61,67,80,129,142,160,169,187,195,217,233,244,279,294,303,309],"strong":[62],"generalizability":[63],"regarding":[64],"scene":[65],"classification":[66],"semantic":[68,272],"segmentation.":[69],"However,":[70],"it":[71],"is":[72,114,180],"difficult":[73],"to":[74,191,236,253,260,319],"simultaneously":[75,161,269],"recognize":[76],"their":[81,143,218,280],"from":[84,258],"end-to-end":[85],"relying":[87],"on":[88,121,171],"present":[89],"networks.":[92],"To":[93],"address":[94],"this":[95],"problem,":[96],"we":[97,226],"propose":[98],"a":[99,115,122,127,130,153,177,228],"multi-scale":[100,154],"image":[103,157,165,209],"network,":[105],"called":[106],"MSRIN.":[108],"The":[109,136,182,322],"architecture":[110],"MSRIN":[113,137,151,268,324],"parallel":[116],"neural":[118],"network":[119,125,134],"based":[120],"fully":[123],"convolutional":[124],"(FCN),":[126],"U-Net,":[128],"long":[131],"short-term":[132],"memory":[133],"(LSTM).":[135],"recognizes":[138],"through":[146],"three":[147],"processes.":[148],"First,":[149],"defines":[152],"caption":[158],"strategy":[159],"segments":[162],"using":[166,202,248],"FCN":[168,186],"U-Net":[170,188],"scales":[174],"so":[175],"that":[176,288],"two-scale":[178],"hierarchy":[179],"formed.":[181],"output":[183],"are":[189],"masked":[190],"obtain":[192],"location":[194],"boundaries":[196],"Second,":[201],"an":[203,249],"attention-based":[204],"LSTM,":[205],"captions":[210,243,259],"include":[211],"(nouns)":[216],"relationships":[220],"described":[221],"natural":[223],"language.":[224],"Finally,":[225],"designed":[227],"correction":[234],"mechanism":[235],"build":[237],"nouns":[241,308],"mask":[246,262,296,311],"graphs":[247],"attention":[250],"weight":[251],"matrix":[252],"transfer":[254],"graphs.":[263],"In":[264],"other":[265],"words,":[266],"realizes":[270],"segmentation":[273],"identification":[283],"end-to-end.":[284],"Experimental":[285],"results":[286],"demonstrated":[287],"matching":[290,305],"rate":[291,306],"samples":[293],"graph":[297,312],"increased":[298,313],"by":[299,314],"67.37":[300],"percentage":[301,316],"points,":[302],"41.78":[315],"points":[317],"compared":[318],"before":[320],"correction.":[321],"proposed":[323],"achieved":[326],"remarkable":[327],"results.":[328]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
