{"id":"https://openalex.org/W3209395768","doi":"https://doi.org/10.3390/rs13214407","title":"3D Octave and 2D Vanilla Mixed Convolutional Neural Network for Hyperspectral Image Classification with Limited Samples","display_name":"3D Octave and 2D Vanilla Mixed Convolutional Neural Network for Hyperspectral Image Classification with Limited Samples","publication_year":2021,"publication_date":"2021-11-02","ids":{"openalex":"https://openalex.org/W3209395768","doi":"https://doi.org/10.3390/rs13214407","mag":"3209395768"},"language":"en","primary_location":{"id":"doi:10.3390/rs13214407","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13214407","pdf_url":"https://www.mdpi.com/2072-4292/13/21/4407/pdf?version=1635920273","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/2072-4292/13/21/4407/pdf?version=1635920273","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053079749","display_name":"Yuchao Feng","orcid":"https://orcid.org/0000-0001-6097-3806"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuchao Feng","raw_affiliation_strings":["College of Computer Science and Engineering, Zhejiang University of Technology, Hangzhou 310014, China"],"raw_orcid":"https://orcid.org/0000-0001-6097-3806","affiliations":[{"raw_affiliation_string":"College of Computer Science and Engineering, Zhejiang University of Technology, Hangzhou 310014, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026233608","display_name":"Jianwei Zheng","orcid":"https://orcid.org/0000-0001-6017-0552"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianwei Zheng","raw_affiliation_strings":["College of Computer Science and Engineering, Zhejiang University of Technology, Hangzhou 310014, China"],"raw_orcid":"https://orcid.org/0000-0001-6017-0552","affiliations":[{"raw_affiliation_string":"College of Computer Science and Engineering, Zhejiang University of Technology, Hangzhou 310014, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039406326","display_name":"Mengjie Qin","orcid":"https://orcid.org/0000-0001-6350-2217"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengjie Qin","raw_affiliation_strings":["College of Computer Science and Engineering, Zhejiang University of Technology, Hangzhou 310014, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Engineering, Zhejiang University of Technology, Hangzhou 310014, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013768600","display_name":"Cong Bai","orcid":"https://orcid.org/0000-0002-6177-3862"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cong Bai","raw_affiliation_strings":["College of Computer Science and Engineering, Zhejiang University of Technology, Hangzhou 310014, China"],"raw_orcid":"https://orcid.org/0000-0002-6177-3862","affiliations":[{"raw_affiliation_string":"College of Computer Science and Engineering, Zhejiang University of Technology, Hangzhou 310014, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100687474","display_name":"Jinglin Zhang","orcid":"https://orcid.org/0000-0001-7499-1992"},"institutions":[{"id":"https://openalex.org/I184843921","display_name":"Hebei University of Technology","ror":"https://ror.org/018hded08","country_code":"CN","type":"education","lineage":["https://openalex.org/I184843921"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinglin Zhang","raw_affiliation_strings":["College of Articial Intelligence, Hebei University of Technology, Tianjin 300131, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Articial Intelligence, Hebei University of Technology, Tianjin 300131, China","institution_ids":["https://openalex.org/I184843921"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5026233608"],"corresponding_institution_ids":["https://openalex.org/I55712492"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":3.288,"has_fulltext":true,"cited_by_count":36,"citation_normalized_percentile":{"value":0.92771942,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"13","issue":"21","first_page":"4407","last_page":"4407"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":1.0,"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":1.0,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9900000095367432,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9830999970436096,"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/computer-science","display_name":"Computer science","score":0.8117086291313171},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7584735751152039},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7428752183914185},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6857864856719971},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6054338812828064},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5426827073097229},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5412676930427551},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5404407382011414},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.47804003953933716},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4558888077735901},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4120737612247467},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35128653049468994},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.33898603916168213}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8117086291313171},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7584735751152039},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7428752183914185},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6857864856719971},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6054338812828064},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5426827073097229},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5412676930427551},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5404407382011414},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.47804003953933716},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4558888077735901},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4120737612247467},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35128653049468994},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.33898603916168213},{"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},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs13214407","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13214407","pdf_url":"https://www.mdpi.com/2072-4292/13/21/4407/pdf?version=1635920273","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:000accfbcf8a49019efa500682411c25","is_oa":true,"landing_page_url":"https://doaj.org/article/000accfbcf8a49019efa500682411c25","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":"Remote Sensing, Vol 13, Iss 21, p 4407 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/13/21/4407/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs13214407","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 13; Issue 21; Pages: 4407","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs13214407","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13214407","pdf_url":"https://www.mdpi.com/2072-4292/13/21/4407/pdf?version=1635920273","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":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7200000286102295}],"awards":[{"id":"https://openalex.org/G1185132597","display_name":null,"funder_award_id":"2018YFE0126100","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G1322496559","display_name":null,"funder_award_id":"61702275","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1380245259","display_name":null,"funder_award_id":"LY19F030016","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G199556679","display_name":null,"funder_award_id":"2018YFE0126100","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2843798246","display_name":null,"funder_award_id":"2018YFE0126100","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G4137662043","display_name":null,"funder_award_id":"41775008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4888762800","display_name":null,"funder_award_id":"LY19F030016","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G491842903","display_name":null,"funder_award_id":"61976192","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5273111022","display_name":null,"funder_award_id":"No. 2018YFE0126100","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6212051606","display_name":null,"funder_award_id":"61602413","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7997273866","display_name":null,"funder_award_id":"LY19F030016","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G8205125056","display_name":null,"funder_award_id":"61602413","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G8847402893","display_name":null,"funder_award_id":"61602413","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8847732984","display_name":null,"funder_award_id":"LR21F020002","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3209395768.pdf","grobid_xml":"https://content.openalex.org/works/W3209395768.grobid-xml"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W1968258303","https://openalex.org/W2018257962","https://openalex.org/W2097900616","https://openalex.org/W2136251662","https://openalex.org/W2166923144","https://openalex.org/W2171171329","https://openalex.org/W2500751094","https://openalex.org/W2562461367","https://openalex.org/W2605006852","https://openalex.org/W2614326984","https://openalex.org/W2764276316","https://openalex.org/W2765739551","https://openalex.org/W2792332881","https://openalex.org/W2801122074","https://openalex.org/W2803177391","https://openalex.org/W2809113079","https://openalex.org/W2889861425","https://openalex.org/W2913594625","https://openalex.org/W2914331134","https://openalex.org/W2937615289","https://openalex.org/W2942170965","https://openalex.org/W2942454403","https://openalex.org/W2954861366","https://openalex.org/W2988396473","https://openalex.org/W2991616716","https://openalex.org/W2991916973","https://openalex.org/W2997343747","https://openalex.org/W3003341045","https://openalex.org/W3007552747","https://openalex.org/W3031015423","https://openalex.org/W3034403122","https://openalex.org/W3043181422","https://openalex.org/W3100011500","https://openalex.org/W3120356488","https://openalex.org/W3124739931","https://openalex.org/W3126621872","https://openalex.org/W3126886264","https://openalex.org/W3128530330","https://openalex.org/W3164802645","https://openalex.org/W3168371931","https://openalex.org/W3171569697","https://openalex.org/W3172716931","https://openalex.org/W3196386002","https://openalex.org/W3200637097","https://openalex.org/W6684897833"],"related_works":["https://openalex.org/W2782869875","https://openalex.org/W2546871836","https://openalex.org/W2136485282","https://openalex.org/W2406522397","https://openalex.org/W2970216048","https://openalex.org/W2285052147","https://openalex.org/W3173596272","https://openalex.org/W2725397116","https://openalex.org/W2806866760","https://openalex.org/W2295021132"],"abstract_inverted_index":{"Owing":[0],"to":[1,68,117,171],"the":[2,37,55,60,70,74,99,119,122,134,143,150,153,157,173,181,184],"outstanding":[3],"feature":[4,111,135],"extraction":[5],"capability,":[6],"convolutional":[7],"neural":[8],"networks":[9],"(CNNs)":[10],"have":[11,22],"been":[12],"widely":[13],"applied":[14],"in":[15,189],"hyperspectral":[16],"image":[17],"(HSI)":[18],"classification":[19],"problems":[20],"and":[21,59,90,125,146,175,180,191],"achieved":[23],"an":[24,86],"impressive":[25],"performance.":[26,127],"However,":[27],"it":[28,66],"is":[29,106],"well":[30],"known":[31],"that":[32,109],"2D":[33,91,130],"convolution":[34,45,132],"suffers":[35],"from":[36],"absent":[38],"consideration":[39],"of":[40,50,57,62,73,121,152,177,186],"spectral":[41],"information,":[42],"while":[43],"3D":[44,88,139],"requires":[46],"a":[47],"huge":[48],"amount":[49],"computational":[51],"cost.":[52],"In":[53],"addition,":[54],"cost":[56],"labeling":[58],"limitation":[61],"computing":[63],"resources":[64],"make":[65],"urgent":[67],"improve":[69],"generalization":[71],"performance":[72],"model":[75],"with":[76],"scarcely":[77],"labeled":[78],"samples.":[79],"To":[80],"relieve":[81],"these":[82],"issues,":[83],"we":[84],"design":[85],"end-to-end":[87],"octave":[89,140],"vanilla":[92,131],"mixed":[93,102],"CNN,":[94],"namely":[95],"Oct-MCNN-HS,":[96],"based":[97],"on":[98,165],"typical":[100],"3D-2D":[101],"CNN":[103],"(MCNN).":[104],"It":[105],"worth":[107],"mentioning":[108],"two":[110],"fusion":[112],"operations":[113],"are":[114,163],"deliberately":[115],"constructed":[116],"climb":[118],"top":[120],"discriminative":[123],"features":[124],"practical":[126],"That":[128],"is,":[129],"merges":[133],"maps":[136],"generated":[137],"by":[138],"convolutions":[141],"along":[142],"channel":[144],"direction,":[145],"homology":[147],"shifting":[148],"aggregates":[149],"information":[151],"pixels":[154],"locating":[155],"at":[156],"same":[158],"spatial":[159],"position.":[160],"Extensive":[161],"experiments":[162],"conducted":[164],"four":[166],"publicly":[167],"available":[168],"HSI":[169],"datasets":[170],"evaluate":[172],"effectiveness":[174],"robustness":[176],"our":[178],"model,":[179],"results":[182],"verify":[183],"superiority":[185],"Oct-MCNN-HS":[187],"both":[188],"efficacy":[190],"efficiency.":[192]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":9}],"updated_date":"2026-05-28T09:10:13.091523","created_date":"2021-11-08T00:00:00"}