{"id":"https://openalex.org/W3183373935","doi":"https://doi.org/10.1109/access.2021.3097090","title":"Sleep Apnea Detection From Variational Mode Decomposed EEG Signal Using a Hybrid CNN-BiLSTM","display_name":"Sleep Apnea Detection From Variational Mode Decomposed EEG Signal Using a Hybrid CNN-BiLSTM","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3183373935","doi":"https://doi.org/10.1109/access.2021.3097090","mag":"3183373935"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3097090","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3097090","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09483901.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09483901.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014251585","display_name":"Tanvir Mahmud","orcid":"https://orcid.org/0000-0003-0529-2826"},"institutions":[{"id":"https://openalex.org/I183697816","display_name":"Bangladesh University of Engineering and Technology","ror":"https://ror.org/05a1qpv97","country_code":"BD","type":"education","lineage":["https://openalex.org/I183697816"]}],"countries":["BD"],"is_corresponding":true,"raw_author_name":"Tanvir Mahmud","raw_affiliation_strings":["Department of Electrical and Electronics Engineering (EEE), Bangladesh University of Engineering and Technology, Dhaka, Bangladesh","ORCiD"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering (EEE), Bangladesh University of Engineering and Technology, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I183697816"]},{"raw_affiliation_string":"ORCiD","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081182394","display_name":"Ishtiaque Ahmed Khan","orcid":"https://orcid.org/0000-0003-0901-0128"},"institutions":[{"id":"https://openalex.org/I183697816","display_name":"Bangladesh University of Engineering and Technology","ror":"https://ror.org/05a1qpv97","country_code":"BD","type":"education","lineage":["https://openalex.org/I183697816"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Ishtiaque Ahmed Khan","raw_affiliation_strings":["Department of Electrical and Electronics Engineering (EEE), Bangladesh University of Engineering and Technology, Dhaka, Bangladesh","ORCiD"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering (EEE), Bangladesh University of Engineering and Technology, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I183697816"]},{"raw_affiliation_string":"ORCiD","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000867357","display_name":"Talha Ibn Mahmud","orcid":"https://orcid.org/0000-0002-6684-4228"},"institutions":[{"id":"https://openalex.org/I183697816","display_name":"Bangladesh University of Engineering and Technology","ror":"https://ror.org/05a1qpv97","country_code":"BD","type":"education","lineage":["https://openalex.org/I183697816"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Talha Ibn Mahmud","raw_affiliation_strings":["Department of Electrical and Electronics Engineering (EEE), Bangladesh University of Engineering and Technology, Dhaka, Bangladesh"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering (EEE), Bangladesh University of Engineering and Technology, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I183697816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074606314","display_name":"Shaikh Anowarul Fattah","orcid":"https://orcid.org/0000-0001-8090-2327"},"institutions":[{"id":"https://openalex.org/I183697816","display_name":"Bangladesh University of Engineering and Technology","ror":"https://ror.org/05a1qpv97","country_code":"BD","type":"education","lineage":["https://openalex.org/I183697816"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Shaikh Anowarul Fattah","raw_affiliation_strings":["Department of Electrical and Electronics Engineering (EEE), Bangladesh University of Engineering and Technology, Dhaka, Bangladesh"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering (EEE), Bangladesh University of Engineering and Technology, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I183697816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033247734","display_name":"Wei\u2010Ping Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Wei-Ping Zhu","raw_affiliation_strings":["Department of Electronics and Communication Engineering (ECE), Concordia University, Montr\u00e9al, QC, Canada","ORCiD","Department of Electronics and Communication Engineering (ECE), Concordia University, Montréal, QC, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering (ECE), Concordia University, Montr\u00e9al, QC, Canada","institution_ids":["https://openalex.org/I60158472"]},{"raw_affiliation_string":"ORCiD","institution_ids":[]},{"raw_affiliation_string":"Department of Electronics and Communication Engineering (ECE), Concordia University, Montréal, QC, Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068820891","display_name":"M. Omair Ahmad","orcid":"https://orcid.org/0000-0002-2924-6659"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"M. Omair Ahmad","raw_affiliation_strings":["Department of Electronics and Communication Engineering (ECE), Concordia University, Montr\u00e9al, QC, Canada","ORCiD","Department of Electronics and Communication Engineering (ECE), Concordia University, Montréal, QC, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering (ECE), Concordia University, Montr\u00e9al, QC, Canada","institution_ids":["https://openalex.org/I60158472"]},{"raw_affiliation_string":"ORCiD","institution_ids":[]},{"raw_affiliation_string":"Department of Electronics and Communication Engineering (ECE), Concordia University, Montréal, QC, Canada","institution_ids":["https://openalex.org/I60158472"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5014251585"],"corresponding_institution_ids":["https://openalex.org/I183697816"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.7291,"has_fulltext":true,"cited_by_count":48,"citation_normalized_percentile":{"value":0.94231743,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":"9","issue":null,"first_page":"102355","last_page":"102367"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10234","display_name":"Obstructive Sleep Apnea Research","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10234","display_name":"Obstructive Sleep Apnea Research","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11373","display_name":"Sleep and Work-Related Fatigue","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7223353981971741},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6687657833099365},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6618826985359192},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.6603381633758545},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6173418760299683},{"id":"https://openalex.org/keywords/sleep-apnea","display_name":"Sleep apnea","score":0.5888974070549011},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5449588894844055},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.45962631702423096},{"id":"https://openalex.org/keywords/sleep-stages","display_name":"Sleep Stages","score":0.4378643333911896},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4364723861217499},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.41661491990089417},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4109005630016327},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.41081053018569946},{"id":"https://openalex.org/keywords/polysomnography","display_name":"Polysomnography","score":0.21111726760864258},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.11802119016647339},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10993567109107971}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7223353981971741},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6687657833099365},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6618826985359192},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.6603381633758545},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6173418760299683},{"id":"https://openalex.org/C2777935920","wikidata":"https://www.wikidata.org/wiki/Q213600","display_name":"Sleep apnea","level":2,"score":0.5888974070549011},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5449588894844055},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.45962631702423096},{"id":"https://openalex.org/C2910364982","wikidata":"https://www.wikidata.org/wiki/Q35831","display_name":"Sleep Stages","level":4,"score":0.4378643333911896},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4364723861217499},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.41661491990089417},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4109005630016327},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.41081053018569946},{"id":"https://openalex.org/C2778205975","wikidata":"https://www.wikidata.org/wiki/Q1754874","display_name":"Polysomnography","level":3,"score":0.21111726760864258},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.11802119016647339},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10993567109107971},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2021.3097090","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3097090","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09483901.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ca0abb614b8e4a63b2665ff1c13e23a0","is_oa":true,"landing_page_url":"https://doaj.org/article/ca0abb614b8e4a63b2665ff1c13e23a0","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 9, Pp 102355-102367 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3097090","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3097090","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09483901.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3183373935.pdf","grobid_xml":"https://content.openalex.org/works/W3183373935.grobid-xml"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W114225708","https://openalex.org/W1531333757","https://openalex.org/W1574615853","https://openalex.org/W1677182931","https://openalex.org/W1724247814","https://openalex.org/W1966657660","https://openalex.org/W1987363545","https://openalex.org/W1996091704","https://openalex.org/W2000982976","https://openalex.org/W2033855064","https://openalex.org/W2051140853","https://openalex.org/W2055163496","https://openalex.org/W2064675550","https://openalex.org/W2068453747","https://openalex.org/W2085426858","https://openalex.org/W2098983190","https://openalex.org/W2115476973","https://openalex.org/W2117834225","https://openalex.org/W2121034421","https://openalex.org/W2125184100","https://openalex.org/W2129068730","https://openalex.org/W2131996083","https://openalex.org/W2148857134","https://openalex.org/W2335449614","https://openalex.org/W2471195096","https://openalex.org/W2519091744","https://openalex.org/W2583359523","https://openalex.org/W2586018498","https://openalex.org/W2586406707","https://openalex.org/W2595557058","https://openalex.org/W2726285125","https://openalex.org/W2807546396","https://openalex.org/W2903850388","https://openalex.org/W2912943321","https://openalex.org/W2942415591","https://openalex.org/W2947595576","https://openalex.org/W2949382160","https://openalex.org/W2952218014","https://openalex.org/W2963103134","https://openalex.org/W3015903044","https://openalex.org/W3022302886","https://openalex.org/W3022927404","https://openalex.org/W3082749970","https://openalex.org/W3083689737","https://openalex.org/W3099330747","https://openalex.org/W3101149558","https://openalex.org/W4233056223","https://openalex.org/W6604702074","https://openalex.org/W6649521509","https://openalex.org/W6674695553"],"related_works":["https://openalex.org/W2032664813","https://openalex.org/W2123598166","https://openalex.org/W2065250766","https://openalex.org/W2107592538","https://openalex.org/W4361186017","https://openalex.org/W3142777208","https://openalex.org/W2359028352","https://openalex.org/W3160546609","https://openalex.org/W1994529828","https://openalex.org/W2068453747"],"abstract_inverted_index":{"Sleep":[0],"apnea,":[1],"a":[2,7,67,99,161,199,213,225,228],"severe":[3],"sleep":[4,32],"disorder,":[5],"is":[6,26,55,105,177,195,216,235],"clinically":[8],"complicated":[9],"disease":[10],"that":[11],"requires":[12],"timely":[13],"diagnosis":[14],"for":[15,28,77,143,208,219],"proper":[16],"treatment.":[17],"In":[18],"this":[19,193],"paper,":[20],"an":[21],"automated":[22],"deep":[23],"learning-based":[24],"approach":[25,215],"proposed":[27,59,106],"the":[29,49,58,63,84,88,110,147,172,186,232,243,263],"detection":[30],"of":[31,42,69,72,83,95,146,163,179,182,231,257],"apnea":[33,92,183],"frames":[34,184],"from":[35,46,113,154],"electroencephalogram":[36],"(EEG)":[37],"signals.":[38],"Unlike":[39],"conventional":[40],"methods":[41],"direct":[43],"feature":[44,78],"extraction":[45,79],"EEG":[47,64,75],"signals,":[48],"variational":[50],"mode":[51,116],"decomposition":[52],"(VMD)":[53],"algorithm":[54],"utilized":[56],"in":[57,87,117,140,198,237,262],"method":[60],"to":[61,107,190,239],"decompose":[62],"signals":[65,76],"into":[66],"number":[68],"modes.":[70],"Use":[71],"such":[73],"decomposed":[74],"offers":[80],"efficient":[81],"processing":[82],"variations":[85],"introduced":[86],"frequency":[89],"spectrum":[90],"during":[91,185],"events":[93],"irrespective":[94],"particular":[96],"patients.":[97],"Afterward,":[98],"fully":[100],"convolutional":[101],"neural":[102],"network":[103,176],"(FCNN)":[104],"separately":[108],"extract":[109],"temporal":[111,122,149],"features":[112,153],"each":[114],"VMD":[115],"parallel":[118],"while":[119],"maintaining":[120],"their":[121],"dependencies.":[123],"The":[124],"FCNN":[125],"block":[126],"utilizes":[127],"causal":[128],"dilated":[129],"convolutions":[130],"with":[131,136,160],"increasing":[132],"dilation":[133],"rates":[134],"along":[135],"multiple":[137],"kernel":[138],"operations":[139],"convolutions.":[141],"Subsequently,":[142],"further":[144],"exploration":[145],"inter-modal":[148],"variations,":[150],"these":[151],"extracted":[152],"different":[155],"EEG-modes":[156],"are":[157,206],"jointly":[158],"optimized":[159,175],"stack":[162],"bi-directional":[164],"long":[165],"short":[166],"term":[167],"memory":[168],"(LSTM)":[169],"layers.":[170],"Hence,":[171],"trained":[173],"and":[174,210,260],"capable":[178],"generating":[180],"predictions":[181],"evaluation":[187],"phase.":[188],"Contrary":[189],"other":[191],"studies,":[192],"study":[194],"carried":[196],"out":[197],"subject":[200],"independent":[201],"manner":[202],"where":[203,218],"separate":[204],"subjects":[205],"considered":[207],"training":[209,238],"testing.":[211],"Additionally,":[212],"semi-supervised":[214],"explored":[217],"facilitating":[220],"better":[221],"classification":[222],"performance":[223],"on":[224,249],"subject's":[226],"frames,":[227],"small":[229],"portion":[230],"patient's":[233],"data":[234],"included":[236],"leverage":[240],"insight":[241],"regarding":[242],"possible":[244],"environmental":[245],"variations.":[246],"Extensive":[247],"experimentations":[248],"three":[250],"publicly":[251],"available":[252],"datasets":[253],"provide":[254],"average":[255],"accuracy":[256],"93.22%,":[258],"93.25%":[259],"89.41%":[261],"subject-independent":[264],"cross-validation":[265],"scheme.":[266]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":3}],"updated_date":"2026-04-04T08:04:53.788161","created_date":"2025-10-10T00:00:00"}