{"id":"https://openalex.org/W2887362407","doi":"https://doi.org/10.3390/s18082702","title":"Multiscale Rotated Bounding Box-Based Deep Learning Method for Detecting Ship Targets in Remote Sensing Images","display_name":"Multiscale Rotated Bounding Box-Based Deep Learning Method for Detecting Ship Targets in Remote Sensing Images","publication_year":2018,"publication_date":"2018-08-17","ids":{"openalex":"https://openalex.org/W2887362407","doi":"https://doi.org/10.3390/s18082702","mag":"2887362407","pmid":"https://pubmed.ncbi.nlm.nih.gov/30126096"},"language":"en","primary_location":{"id":"doi:10.3390/s18082702","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s18082702","pdf_url":"https://www.mdpi.com/1424-8220/18/8/2702/pdf?version=1534496366","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/18/8/2702/pdf?version=1534496366","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101976908","display_name":"Shuxin Li","orcid":"https://orcid.org/0009-0003-3039-8451"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuxin Li","raw_affiliation_strings":["ATR National Key Laboratory, National University of Defense Technology, Changsha 410073, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ATR National Key Laboratory, National University of Defense Technology, Changsha 410073, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059966127","display_name":"Zhilong Zhang","orcid":"https://orcid.org/0000-0003-1772-5529"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhilong Zhang","raw_affiliation_strings":["ATR National Key Laboratory, National University of Defense Technology, Changsha 410073, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ATR National Key Laboratory, National University of Defense Technology, Changsha 410073, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100334871","display_name":"Biao Li","orcid":"https://orcid.org/0000-0002-7971-0085"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Biao Li","raw_affiliation_strings":["ATR National Key Laboratory, National University of Defense Technology, Changsha 410073, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ATR National Key Laboratory, National University of Defense Technology, Changsha 410073, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046687316","display_name":"Chuwei Li","orcid":"https://orcid.org/0009-0007-5320-3433"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuwei Li","raw_affiliation_strings":["ATR National Key Laboratory, National University of Defense Technology, Changsha 410073, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ATR National Key Laboratory, National University of Defense Technology, Changsha 410073, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5059966127"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":6.4795,"has_fulltext":true,"cited_by_count":49,"citation_normalized_percentile":{"value":0.96783559,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"18","issue":"8","first_page":"2702","last_page":"2702"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.996999979019165,"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":0.996999979019165,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.989799976348877,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9896000027656555,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.8700532913208008},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.8061347007751465},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7075169682502747},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.6638528108596802},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6616694927215576},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.6227862238883972},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5734955072402954},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5397585034370422},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4352577030658722},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.4182230234146118},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.4146803319454193},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37258458137512207},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3380255103111267},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.21309399604797363},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15110287070274353},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.14779993891716003},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.12490272521972656},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11118999123573303}],"concepts":[{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.8700532913208008},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.8061347007751465},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7075169682502747},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.6638528108596802},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6616694927215576},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.6227862238883972},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5734955072402954},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5397585034370422},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4352577030658722},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.4182230234146118},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.4146803319454193},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37258458137512207},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3380255103111267},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.21309399604797363},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15110287070274353},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.14779993891716003},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.12490272521972656},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11118999123573303},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.3390/s18082702","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s18082702","pdf_url":"https://www.mdpi.com/1424-8220/18/8/2702/pdf?version=1534496366","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},{"id":"pmid:30126096","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30126096","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:5fc5ea0735d8453595421ec6af0f288a","is_oa":true,"landing_page_url":"https://doaj.org/article/5fc5ea0735d8453595421ec6af0f288a","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 18, Iss 8, p 2702 (2018)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:5065187","is_oa":true,"landing_page_url":"http://europepmc.org/pmc/articles/PMC6112046","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:mdpi.com:/1424-8220/18/8/2702/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/s18082702","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":"Sensors","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:6112046","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6112046","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"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":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s18082702","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s18082702","pdf_url":"https://www.mdpi.com/1424-8220/18/8/2702/pdf?version=1534496366","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","score":0.6399999856948853,"display_name":"Life below water"}],"awards":[{"id":"https://openalex.org/G3327211722","display_name":null,"funder_award_id":"61101185","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"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2887362407.pdf","grobid_xml":"https://content.openalex.org/works/W2887362407.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W1686810756","https://openalex.org/W1903029394","https://openalex.org/W1970782782","https://openalex.org/W2003059629","https://openalex.org/W2061200049","https://openalex.org/W2100503224","https://openalex.org/W2102605133","https://openalex.org/W2155893237","https://openalex.org/W2163605009","https://openalex.org/W2193145675","https://openalex.org/W2400138547","https://openalex.org/W2411589003","https://openalex.org/W2442495293","https://openalex.org/W2465132919","https://openalex.org/W2594177559","https://openalex.org/W2596326966","https://openalex.org/W2613718673","https://openalex.org/W2617965156","https://openalex.org/W2624820035","https://openalex.org/W2625829240","https://openalex.org/W2758555341","https://openalex.org/W2769221444","https://openalex.org/W2770383210","https://openalex.org/W2950094539","https://openalex.org/W2962749812","https://openalex.org/W2963037989","https://openalex.org/W2963150697","https://openalex.org/W3106250896","https://openalex.org/W3201797941"],"related_works":["https://openalex.org/W4237171675","https://openalex.org/W3036286480","https://openalex.org/W4287027631","https://openalex.org/W3192357901","https://openalex.org/W2387360586","https://openalex.org/W2952736415","https://openalex.org/W3209723314","https://openalex.org/W3205398323","https://openalex.org/W2883297582","https://openalex.org/W4390524233"],"abstract_inverted_index":{"Since":[0],"remote":[1,243],"sensing":[2,244],"images":[3],"are":[4,62],"captured":[5],"from":[6,14],"the":[7,10,42,51,60,70,91,100,106,110,115,121,145,151,155,158,164,169,176,182,191,197,204,209,214,219,226,232,248,271,293,300],"top":[8],"of":[9,105,211,299],"target,":[11],"such":[12,259],"as":[13,260],"a":[15,79,84,95,130,242],"satellite":[16],"or":[17,66],"plane":[18],"platform,":[19],"ship":[20,30,52,92,254,268,288],"targets":[21,31,61,255],"can":[22],"be":[23,38],"presented":[24],"at":[25],"any":[26],"orientation.":[27],"When":[28,108,195],"detecting":[29,253],"using":[32,83],"horizontal":[33],"bounding":[34,87,173,178,199],"boxes,":[35,200],"there":[36],"will":[37],"background":[39,97],"clutter":[40,45,262],"in":[41,63,94,252,265,287],"box.":[43],"This":[44],"makes":[46],"it":[47,188],"harder":[48],"to":[49,69,89,118,134,143,175,180,189,207,222,270,277],"detect":[50,90],"and":[53,98,102,137,160,186,224,235,273,296],"find":[54],"its":[55],"precise":[56,294],"location,":[57],"especially":[58],"when":[59],"close":[64,68,266,269],"proximity":[65],"staying":[67],"shore.":[71],"To":[72],"solve":[73],"these":[74],"problems,":[75],"this":[76],"paper":[77],"proposes":[78],"deep":[80,132,192],"learning":[81,193],"algorithm":[82,128,249,281],"multiscale":[85,171,274],"rotated":[86,172,198],"box":[88,122],"target":[93,152,264],"complex":[96,257],"obtain":[99,181,225],"location":[101,159,295],"orientation":[103,297],"information":[104,185,298],"ship.":[107,301],"labeling":[109],"oriented":[111],"targets,":[112],"we":[113,167,201,217],"use":[114,187,218],"five-parameter":[116],"method":[117],"ensure":[119],"that":[120,247],"shape":[123],"is":[124,250],"maintained":[125],"rectangular.":[126],"The":[127],"uses":[129],"pretrained":[131],"network":[133],"extract":[135],"features":[136],"produces":[138],"two":[139],"divided":[140],"flow":[141,148],"paths":[142],"output":[144],"result.":[146],"One":[147],"path":[149],"predicts":[150,157],"class,":[153],"while":[154],"other":[156,278],"angle":[161],"information.":[162],"In":[163,213],"training":[165],"stage,":[166,216],"match":[168],"prior":[170],"boxes":[174,179],"ground-truth":[177],"positive":[183],"sample":[184],"train":[190],"model.":[194],"matching":[196],"narrow":[202],"down":[203],"selection":[205],"scope":[206],"reduce":[208],"amount":[210],"calculation.":[212],"testing":[215],"trained":[220],"model":[221],"predict":[223],"final":[227],"result":[228],"after":[229],"comparing":[230],"with":[231],"score":[233],"threshold":[234],"nonmaximum":[236],"suppression":[237],"post-processing.":[238],"Experiments":[239],"conducted":[240],"on":[241],"dataset":[245],"show":[246],"robust":[251],"under":[256],"conditions,":[258],"wave":[261],"background,":[263],"proximity,":[267],"shore,":[272],"varieties.":[275],"Compared":[276],"algorithms,":[279],"our":[280],"not":[282],"only":[283],"exhibits":[284],"better":[285],"performance":[286],"detection":[289],"but":[290],"also":[291],"obtains":[292]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":14},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}