{"id":"https://openalex.org/W3014323018","doi":"https://doi.org/10.3390/s20071999","title":"An Efficient and Lightweight Convolutional Neural Network for Remote Sensing Image Scene Classification","display_name":"An Efficient and Lightweight Convolutional Neural Network for Remote Sensing Image Scene Classification","publication_year":2020,"publication_date":"2020-04-02","ids":{"openalex":"https://openalex.org/W3014323018","doi":"https://doi.org/10.3390/s20071999","mag":"3014323018","pmid":"https://pubmed.ncbi.nlm.nih.gov/32252483"},"language":"en","primary_location":{"id":"doi:10.3390/s20071999","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20071999","pdf_url":"https://www.mdpi.com/1424-8220/20/7/1999/pdf?version=1586841750","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/1424-8220/20/7/1999/pdf?version=1586841750","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055940298","display_name":"Donghang Yu","orcid":"https://orcid.org/0000-0002-5858-7671"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Donghang Yu","raw_affiliation_strings":["Institute of Geospatial Information, PLA Strategic Support Force Information Engineering University, Zheng Zhou 450001, China"],"raw_orcid":"https://orcid.org/0000-0002-5858-7671","affiliations":[{"raw_affiliation_string":"Institute of Geospatial Information, PLA Strategic Support Force Information Engineering University, Zheng Zhou 450001, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084925209","display_name":"Qing Xu","orcid":"https://orcid.org/0000-0003-2505-7188"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qing Xu","raw_affiliation_strings":["Institute of Geospatial Information, PLA Strategic Support Force Information Engineering University, Zheng Zhou 450001, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Geospatial Information, PLA Strategic Support Force Information Engineering University, Zheng Zhou 450001, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101656781","display_name":"Haitao Guo","orcid":"https://orcid.org/0000-0001-5769-2798"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haitao Guo","raw_affiliation_strings":["Institute of Geospatial Information, PLA Strategic Support Force Information Engineering University, Zheng Zhou 450001, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Geospatial Information, PLA Strategic Support Force Information Engineering University, Zheng Zhou 450001, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033747644","display_name":"Chuan Zhao","orcid":"https://orcid.org/0000-0001-9197-9768"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuan Zhao","raw_affiliation_strings":["Institute of Geospatial Information, PLA Strategic Support Force Information Engineering University, Zheng Zhou 450001, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Geospatial Information, PLA Strategic Support Force Information Engineering University, Zheng Zhou 450001, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100577683","display_name":"Yuzhun Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuzhun Lin","raw_affiliation_strings":["Institute of Geospatial Information, PLA Strategic Support Force Information Engineering University, Zheng Zhou 450001, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Geospatial Information, PLA Strategic Support Force Information Engineering University, Zheng Zhou 450001, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101521281","display_name":"Daoji Li","orcid":"https://orcid.org/0000-0001-6041-0130"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daoji Li","raw_affiliation_strings":["Institute of Geospatial Information, PLA Strategic Support Force Information Engineering University, Zheng Zhou 450001, China"],"raw_orcid":"https://orcid.org/0000-0001-6041-0130","affiliations":[{"raw_affiliation_string":"Institute of Geospatial Information, PLA Strategic Support Force Information Engineering University, Zheng Zhou 450001, China","institution_ids":["https://openalex.org/I169689159"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5084925209"],"corresponding_institution_ids":["https://openalex.org/I169689159"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":7.6973,"has_fulltext":false,"cited_by_count":107,"citation_normalized_percentile":{"value":0.97670121,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"20","issue":"7","first_page":"1999","last_page":"1999"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9975000023841858,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9930999875068665,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8508703708648682},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.7749074101448059},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.727260947227478},{"id":"https://openalex.org/keywords/bilinear-interpolation","display_name":"Bilinear interpolation","score":0.6936417818069458},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.684466540813446},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.6148995161056519},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6020188331604004},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5925362706184387},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.588559627532959},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5517131090164185},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.39366406202316284},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3595013916492462},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3087049126625061}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8508703708648682},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.7749074101448059},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.727260947227478},{"id":"https://openalex.org/C205203396","wikidata":"https://www.wikidata.org/wiki/Q612143","display_name":"Bilinear interpolation","level":2,"score":0.6936417818069458},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.684466540813446},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.6148995161056519},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6020188331604004},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5925362706184387},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.588559627532959},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5517131090164185},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.39366406202316284},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3595013916492462},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3087049126625061},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s20071999","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20071999","pdf_url":"https://www.mdpi.com/1424-8220/20/7/1999/pdf?version=1586841750","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:32252483","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32252483","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:b3c8f33e758f4493bcb52aab8e84241a","is_oa":true,"landing_page_url":"https://doaj.org/article/b3c8f33e758f4493bcb52aab8e84241a","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 20, Iss 7, p 1999 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/20/7/1999/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/s20071999","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:7181261","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7181261","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/s20071999","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20071999","pdf_url":"https://www.mdpi.com/1424-8220/20/7/1999/pdf?version=1586841750","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3014323018.pdf"},"referenced_works_count":79,"referenced_works":["https://openalex.org/W40885937","https://openalex.org/W258213556","https://openalex.org/W1544008493","https://openalex.org/W1584663654","https://openalex.org/W1686810756","https://openalex.org/W1963985200","https://openalex.org/W1968591910","https://openalex.org/W1980038761","https://openalex.org/W1984309565","https://openalex.org/W1989316905","https://openalex.org/W2001123951","https://openalex.org/W2024815898","https://openalex.org/W2043857439","https://openalex.org/W2044465660","https://openalex.org/W2067178723","https://openalex.org/W2077689834","https://openalex.org/W2091280333","https://openalex.org/W2097117768","https://openalex.org/W2098642880","https://openalex.org/W2098676252","https://openalex.org/W2104657103","https://openalex.org/W2108598243","https://openalex.org/W2122317659","https://openalex.org/W2147672495","https://openalex.org/W2151103935","https://openalex.org/W2153425333","https://openalex.org/W2161969291","https://openalex.org/W2162915993","https://openalex.org/W2169100202","https://openalex.org/W2194775991","https://openalex.org/W2253590344","https://openalex.org/W2283168383","https://openalex.org/W2325982591","https://openalex.org/W2347115704","https://openalex.org/W2395048810","https://openalex.org/W2411876745","https://openalex.org/W2515866431","https://openalex.org/W2567850185","https://openalex.org/W2592962403","https://openalex.org/W2599857737","https://openalex.org/W2607558879","https://openalex.org/W2620429297","https://openalex.org/W2621526417","https://openalex.org/W2746032333","https://openalex.org/W2767089292","https://openalex.org/W2783165089","https://openalex.org/W2787070260","https://openalex.org/W2794179679","https://openalex.org/W2795674590","https://openalex.org/W2796438033","https://openalex.org/W2799466885","https://openalex.org/W2883502031","https://openalex.org/W2883982921","https://openalex.org/W2890732922","https://openalex.org/W2900358019","https://openalex.org/W2912089046","https://openalex.org/W2914885528","https://openalex.org/W2919352650","https://openalex.org/W2920232463","https://openalex.org/W2937188477","https://openalex.org/W2940542567","https://openalex.org/W2940939359","https://openalex.org/W2944715228","https://openalex.org/W2944971001","https://openalex.org/W2945385604","https://openalex.org/W2954156245","https://openalex.org/W2961121772","https://openalex.org/W2963163009","https://openalex.org/W2963910238","https://openalex.org/W2974035141","https://openalex.org/W2996322457","https://openalex.org/W3019448917","https://openalex.org/W3103856189","https://openalex.org/W3105409087","https://openalex.org/W3105577662","https://openalex.org/W4391589970","https://openalex.org/W6683411478","https://openalex.org/W6687483927","https://openalex.org/W6748260432"],"related_works":["https://openalex.org/W2950524887","https://openalex.org/W2883502031","https://openalex.org/W2261271299","https://openalex.org/W4280638452","https://openalex.org/W4285020665","https://openalex.org/W2963066927","https://openalex.org/W3160506688","https://openalex.org/W3111811104","https://openalex.org/W4380083739","https://openalex.org/W2964944724"],"abstract_inverted_index":{"Classifying":[0],"remote":[1,11,181,193],"sensing":[2,12,194],"images":[3],"is":[4,44,91,102,136],"vital":[5],"for":[6,81,138,180],"interpreting":[7],"image":[8,13,98,195],"content.":[9],"Presently,":[10],"scene":[14,82,182],"classification":[15,42,60,183,196],"methods":[16],"using":[17],"convolutional":[18,54,77,87,111],"neural":[19,55,78,88],"networks":[20],"have":[21,35],"drawbacks,":[22],"including":[23,171],"excessive":[24],"parameters":[25,37,163],"and":[26,32,38,52,96,134,151,164,178],"heavy":[27],"calculation":[28],"costs.":[29],"More":[30],"efficient":[31,51],"lightweight":[33,53,86],"CNNs":[34],"fewer":[36,162],"calculations,":[39,165],"but":[40],"their":[41],"performance":[43,177],"generally":[45],"weaker.":[46],"We":[47],"propose":[48],"a":[49,63,75],"more":[50],"network":[56,79],"method":[57,160],"to":[58,93,118,122,191],"improve":[59],"accuracy":[61,179],"with":[62,108,154,174],"small":[64],"training":[65],"dataset.":[66],"Inspired":[67],"by":[68],"fine-grained":[69],"visual":[70],"recognition,":[71],"this":[72],"study":[73],"introduces":[74],"bilinear":[76,126,130,175],"model":[80],"classification.":[83,139],"First,":[84],"the":[85,129,158],"network,":[89],"MobileNetv2,":[90],"used":[92,137,146],"extract":[94],"deep":[95],"abstract":[97],"features.":[99],"Each":[100],"feature":[101,131,172],"then":[103],"transformed":[104,114],"into":[105],"two":[106,109],"features":[107,115],"different":[110],"layers.":[112],"The":[113],"are":[116,141],"subjected":[117],"Hadamard":[119],"product":[120],"operation":[121],"obtain":[123],"an":[124],"enhanced":[125],"feature.":[127],"Finally,":[128],"after":[132],"pooling":[133],"normalization":[135],"Experiments":[140],"performed":[142],"on":[143],"three":[144],"widely":[145],"datasets:":[147],"UC":[148],"Merced,":[149],"AID,":[150],"NWPU-RESISC45.":[152],"Compared":[153],"other":[155],"state-of-art":[156],"methods,":[157],"proposed":[159],"has":[161],"while":[166],"achieving":[167],"higher":[168],"accuracy.":[169],"By":[170],"fusion":[173],"pooling,":[176],"can":[184],"greatly":[185],"improve.":[186],"This":[187],"could":[188],"be":[189],"applied":[190],"any":[192],"task.":[197]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":21},{"year":2023,"cited_by_count":24},{"year":2022,"cited_by_count":21},{"year":2021,"cited_by_count":18},{"year":2020,"cited_by_count":6}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}
