{"id":"https://openalex.org/W3154205755","doi":"https://doi.org/10.3390/e23040435","title":"An Improved Encoder-Decoder Network Based on Strip Pool Method Applied to Segmentation of Farmland Vacancy Field","display_name":"An Improved Encoder-Decoder Network Based on Strip Pool Method Applied to Segmentation of Farmland Vacancy Field","publication_year":2021,"publication_date":"2021-04-08","ids":{"openalex":"https://openalex.org/W3154205755","doi":"https://doi.org/10.3390/e23040435","mag":"3154205755","pmid":"https://pubmed.ncbi.nlm.nih.gov/33917753"},"language":"en","primary_location":{"id":"doi:10.3390/e23040435","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e23040435","pdf_url":"https://www.mdpi.com/1099-4300/23/4/435/pdf","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"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":"Entropy","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/1099-4300/23/4/435/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084632802","display_name":"Xixin Zhang","orcid":"https://orcid.org/0000-0002-0301-7225"},"institutions":[{"id":"https://openalex.org/I37574244","display_name":"Sichuan Agricultural University","ror":"https://ror.org/0388c3403","country_code":"CN","type":"education","lineage":["https://openalex.org/I37574244"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xixin Zhang","raw_affiliation_strings":["College of Information Engineering, Sichuan Agricultural University, Ya\u2019an 625000, Sichuan, China","College of Information Engineering, Sichuan Agricultural University, Ya'an 625000, Sichuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Sichuan Agricultural University, Ya\u2019an 625000, Sichuan, China","institution_ids":["https://openalex.org/I37574244"]},{"raw_affiliation_string":"College of Information Engineering, Sichuan Agricultural University, Ya'an 625000, Sichuan, China","institution_ids":["https://openalex.org/I37574244"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054557244","display_name":"Yuhang Yang","orcid":"https://orcid.org/0000-0003-3964-5052"},"institutions":[{"id":"https://openalex.org/I37574244","display_name":"Sichuan Agricultural University","ror":"https://ror.org/0388c3403","country_code":"CN","type":"education","lineage":["https://openalex.org/I37574244"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhang Yang","raw_affiliation_strings":["College of Information Engineering, Sichuan Agricultural University, Ya\u2019an 625000, Sichuan, China","College of Information Engineering, Sichuan Agricultural University, Ya'an 625000, Sichuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Sichuan Agricultural University, Ya\u2019an 625000, Sichuan, China","institution_ids":["https://openalex.org/I37574244"]},{"raw_affiliation_string":"College of Information Engineering, Sichuan Agricultural University, Ya'an 625000, Sichuan, China","institution_ids":["https://openalex.org/I37574244"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100396742","display_name":"Zhiyong Li","orcid":"https://orcid.org/0000-0003-2402-7657"},"institutions":[{"id":"https://openalex.org/I37574244","display_name":"Sichuan Agricultural University","ror":"https://ror.org/0388c3403","country_code":"CN","type":"education","lineage":["https://openalex.org/I37574244"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhiyong Li","raw_affiliation_strings":["College of Information Engineering, Sichuan Agricultural University, Ya\u2019an 625000, Sichuan, China","Sichuan Key Laboratory of Agricultural Information Engineering, Ya\u2019an 625000, Sichuan, China","Sichuan Key Laboratory of Agricultural Information Engineering, Ya'an 625000, Sichuan, China","College of Information Engineering, Sichuan Agricultural University, Ya'an 625000, Sichuan, China"],"raw_orcid":"https://orcid.org/0000-0003-2402-7657","affiliations":[{"raw_affiliation_string":"College of Information Engineering, Sichuan Agricultural University, Ya\u2019an 625000, Sichuan, China","institution_ids":["https://openalex.org/I37574244"]},{"raw_affiliation_string":"Sichuan Key Laboratory of Agricultural Information Engineering, Ya\u2019an 625000, Sichuan, China","institution_ids":["https://openalex.org/I37574244"]},{"raw_affiliation_string":"Sichuan Key Laboratory of Agricultural Information Engineering, Ya'an 625000, Sichuan, China","institution_ids":[]},{"raw_affiliation_string":"College of Information Engineering, Sichuan Agricultural University, Ya'an 625000, Sichuan, China","institution_ids":["https://openalex.org/I37574244"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078037196","display_name":"Xin Ning","orcid":"https://orcid.org/0000-0001-7897-1673"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210149211","display_name":"Institute of Semiconductors","ror":"https://ror.org/048dd0611","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210149211"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Ning","raw_affiliation_strings":["Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, China"],"raw_orcid":"https://orcid.org/0000-0001-7897-1673","affiliations":[{"raw_affiliation_string":"Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, China","institution_ids":["https://openalex.org/I4210149211","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079291961","display_name":"Yilang Qin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210096196","display_name":"Henan Academy of Agricultural Sciences","ror":"https://ror.org/00vdyrj80","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210096196"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yilang Qin","raw_affiliation_strings":["Institute of Agricultural Economy and Information, Henan Academy of Agricultural Sciences, Zhengzhou 450002, Henan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Agricultural Economy and Information, Henan Academy of Agricultural Sciences, Zhengzhou 450002, Henan, China","institution_ids":["https://openalex.org/I4210096196"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072820730","display_name":"Weiwei Cai","orcid":"https://orcid.org/0000-0001-6795-6152"},"institutions":[{"id":"https://openalex.org/I119273862","display_name":"Central South University of Forestry and Technology","ror":"https://ror.org/02czw2k81","country_code":"CN","type":"education","lineage":["https://openalex.org/I119273862"]},{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiwei Cai","raw_affiliation_strings":["College of Logistics and Transportation, Central South University of Forestry and Technology, Changsha 410004, Hunan, China"],"raw_orcid":"https://orcid.org/0000-0001-6795-6152","affiliations":[{"raw_affiliation_string":"College of Logistics and Transportation, Central South University of Forestry and Technology, Changsha 410004, Hunan, China","institution_ids":["https://openalex.org/I119273862","https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100396742"],"corresponding_institution_ids":["https://openalex.org/I37574244"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":5.261,"has_fulltext":false,"cited_by_count":62,"citation_normalized_percentile":{"value":0.96816509,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"23","issue":"4","first_page":"435","last_page":"435"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9976000189781189,"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"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9976000189781189,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9925000071525574,"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/segmentation","display_name":"Segmentation","score":0.7628730535507202},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7227605581283569},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.6110343337059021},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5527490973472595},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5127978920936584},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4727780818939209},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.46810221672058105},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.430541068315506},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40758854150772095},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3797819912433624},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.33797621726989746},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10500273108482361}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7628730535507202},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7227605581283569},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.6110343337059021},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5527490973472595},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5127978920936584},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4727780818939209},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.46810221672058105},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.430541068315506},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40758854150772095},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3797819912433624},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.33797621726989746},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10500273108482361},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/e23040435","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e23040435","pdf_url":"https://www.mdpi.com/1099-4300/23/4/435/pdf","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"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":"Entropy","raw_type":"journal-article"},{"id":"pmid:33917753","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33917753","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":"Entropy (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:3c71231216ac4bc8b78ae9de045b15b6","is_oa":true,"landing_page_url":"https://doaj.org/article/3c71231216ac4bc8b78ae9de045b15b6","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":"Entropy, Vol 23, Iss 4, p 435 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1099-4300/23/4/435/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/e23040435","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":"Entropy; Volume 23; Issue 4; Pages: 435","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:8068146","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8068146","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":"Entropy (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/e23040435","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e23040435","pdf_url":"https://www.mdpi.com/1099-4300/23/4/435/pdf","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"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":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.6499999761581421}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3154205755.pdf"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2089040011","https://openalex.org/W2163605009","https://openalex.org/W2395611524","https://openalex.org/W2412782625","https://openalex.org/W2559597482","https://openalex.org/W2560023338","https://openalex.org/W2618530766","https://openalex.org/W2766871041","https://openalex.org/W2777801096","https://openalex.org/W2787091153","https://openalex.org/W2795783309","https://openalex.org/W2799213142","https://openalex.org/W2803704160","https://openalex.org/W2809598685","https://openalex.org/W2890581051","https://openalex.org/W2902195199","https://openalex.org/W2911558038","https://openalex.org/W2912210680","https://openalex.org/W2945659254","https://openalex.org/W2963446712","https://openalex.org/W2964309882","https://openalex.org/W2970433707","https://openalex.org/W2989815065","https://openalex.org/W3000295511","https://openalex.org/W3008109610","https://openalex.org/W3011612089","https://openalex.org/W3034502973","https://openalex.org/W3036779102","https://openalex.org/W3084016763","https://openalex.org/W3098331704","https://openalex.org/W4237938708","https://openalex.org/W4250482878","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W2953234277","https://openalex.org/W2626256601","https://openalex.org/W147410782","https://openalex.org/W2900413183","https://openalex.org/W4390975304","https://openalex.org/W3022252430","https://openalex.org/W4287804464","https://openalex.org/W3103989898","https://openalex.org/W3211292372","https://openalex.org/W1522196789"],"abstract_inverted_index":{"In":[0],"the":[1,8,37,54,94,100,116,124,128,143,155,160,165,168,172,181,188,191,200],"research":[2],"of":[3,10,24,39,57,67,131,145,159,167,202],"green":[4],"vegetation":[5],"coverage":[6],"in":[7,42,171],"field":[9],"remote":[11],"sensing":[12],"image":[13],"segmentation,":[14],"crop":[15],"planting":[16],"area":[17],"is":[18,84,91,175,178,184,194],"often":[19],"obtained":[20],"by":[21,196],"semantic":[22,77,117],"segmentation":[23,78,90,118],"images":[25,66],"taken":[26],"from":[27],"high":[28,129],"altitude.":[29],"This":[30],"method":[31,82,170],"can":[32],"be":[33],"used":[34],"to":[35,69,121,153,187],"obtain":[36],"rate":[38,183],"cultivated":[40],"land":[41],"a":[43,47,58,71,80,163],"region":[44],"(such":[45],"as":[46,108,142],"country),":[48],"but":[49],"it":[50],"does":[51],"not":[52],"reflect":[53],"real":[55],"situation":[56],"particular":[59],"farmland.":[60],"Therefore,":[61],"this":[62,135],"paper":[63,136],"takes":[64],"low-altitude":[65],"farmland":[68,88],"build":[70],"dataset.":[72],"After":[73],"comparing":[74],"several":[75],"mainstream":[76],"algorithms,":[79],"new":[81],"that":[83],"more":[85],"suitable":[86],"for":[87],"vacancy":[89,125],"proposed.":[92],"Additionally,":[93],"Strip":[95],"Pooling":[96,102],"module":[97,103],"(SPM)":[98],"and":[99,113,148,157,180],"Mixed":[101],"(MPM),":[104],"with":[105],"strip":[106],"pooling":[107],"their":[109],"core,":[110],"are":[111],"designed":[112],"fused":[114],"into":[115],"network":[119,141],"structure":[120],"better":[122],"extract":[123],"features.":[126],"Considering":[127],"cost":[130],"manual":[132],"data":[133,151],"annotation,":[134],"uses":[137,150],"an":[138],"improved":[139,195],"ResNet":[140],"backbone":[144],"signal":[146],"transmission,":[147],"meanwhile":[149],"augmentation":[152],"improve":[154],"performance":[156],"robustness":[158],"model.":[161],"As":[162],"result,":[164],"accuracy":[166],"proposed":[169],"test":[173],"set":[174],"95.6%,":[176],"mIoU":[177,192],"77.6%,":[179],"error":[182],"7%.":[185],"Compared":[186],"existing":[189],"model,":[190],"value":[193],"nearly":[197],"4%,":[198],"reaching":[199],"level":[201],"practical":[203],"application.":[204]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":35}],"updated_date":"2026-05-22T06:13:13.366637","created_date":"2025-10-10T00:00:00"}
