{"id":"https://openalex.org/W4361009410","doi":"https://doi.org/10.3390/s23073468","title":"Simultaneous Sleep Stage and Sleep Disorder Detection from Multimodal Sensors Using Deep Learning","display_name":"Simultaneous Sleep Stage and Sleep Disorder Detection from Multimodal Sensors Using Deep Learning","publication_year":2023,"publication_date":"2023-03-26","ids":{"openalex":"https://openalex.org/W4361009410","doi":"https://doi.org/10.3390/s23073468","pmid":"https://pubmed.ncbi.nlm.nih.gov/37050528"},"language":"en","primary_location":{"id":"doi:10.3390/s23073468","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23073468","pdf_url":"https://www.mdpi.com/1424-8220/23/7/3468/pdf?version=1680091738","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/1424-8220/23/7/3468/pdf?version=1680091738","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038750304","display_name":"Yi-Hsuan Cheng","orcid":"https://orcid.org/0000-0001-5239-3465"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yi-Hsuan Cheng","raw_affiliation_strings":["School of Engineering, RMIT University, Melbourne, VIC 3000, Australia"],"raw_orcid":"https://orcid.org/0000-0001-5239-3465","affiliations":[{"raw_affiliation_string":"School of Engineering, RMIT University, Melbourne, VIC 3000, Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065207789","display_name":"Margaret Lech","orcid":"https://orcid.org/0000-0002-7860-7289"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Margaret Lech","raw_affiliation_strings":["School of Engineering, RMIT University, Melbourne, VIC 3000, Australia"],"raw_orcid":"https://orcid.org/0000-0002-7860-7289","affiliations":[{"raw_affiliation_string":"School of Engineering, RMIT University, Melbourne, VIC 3000, Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060108418","display_name":"Richardt H. Wilkinson","orcid":"https://orcid.org/0000-0003-1318-8447"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Richardt Howard Wilkinson","raw_affiliation_strings":["School of Engineering, RMIT University, Melbourne, VIC 3000, Australia"],"raw_orcid":"https://orcid.org/0000-0003-1318-8447","affiliations":[{"raw_affiliation_string":"School of Engineering, RMIT University, Melbourne, VIC 3000, Australia","institution_ids":["https://openalex.org/I82951845"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5065207789"],"corresponding_institution_ids":["https://openalex.org/I82951845"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":5.3495,"has_fulltext":true,"cited_by_count":32,"citation_normalized_percentile":{"value":0.96559849,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"23","issue":"7","first_page":"3468","last_page":"3468"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":1.0,"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/T10234","display_name":"Obstructive Sleep Apnea Research","score":0.9980999827384949,"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6712464094161987},{"id":"https://openalex.org/keywords/sleep","display_name":"Sleep (system call)","score":0.6477940678596497},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.6469628810882568},{"id":"https://openalex.org/keywords/sleep-stages","display_name":"Sleep Stages","score":0.644789457321167},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6427217721939087},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6139806509017944},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.5462959408760071},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5099996328353882},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.47540077567100525},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42328062653541565},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.40613123774528503},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.3998384475708008},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3609882891178131},{"id":"https://openalex.org/keywords/polysomnography","display_name":"Polysomnography","score":0.3507431745529175},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.18253135681152344},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.0890015959739685}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6712464094161987},{"id":"https://openalex.org/C2775841894","wikidata":"https://www.wikidata.org/wiki/Q4683692","display_name":"Sleep (system call)","level":2,"score":0.6477940678596497},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.6469628810882568},{"id":"https://openalex.org/C2910364982","wikidata":"https://www.wikidata.org/wiki/Q35831","display_name":"Sleep Stages","level":4,"score":0.644789457321167},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6427217721939087},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6139806509017944},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.5462959408760071},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5099996328353882},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.47540077567100525},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42328062653541565},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.40613123774528503},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.3998384475708008},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3609882891178131},{"id":"https://openalex.org/C2778205975","wikidata":"https://www.wikidata.org/wiki/Q1754874","display_name":"Polysomnography","level":3,"score":0.3507431745529175},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.18253135681152344},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0890015959739685},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012890","descriptor_name":"Sleep","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012890","descriptor_name":"Sleep","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012890","descriptor_name":"Sleep","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012893","descriptor_name":"Sleep Wake Disorders","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D012893","descriptor_name":"Sleep Wake Disorders","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D012893","descriptor_name":"Sleep Wake Disorders","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D012894","descriptor_name":"Sleep Stages","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012894","descriptor_name":"Sleep Stages","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012894","descriptor_name":"Sleep Stages","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":6,"locations":[{"id":"doi:10.3390/s23073468","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23073468","pdf_url":"https://www.mdpi.com/1424-8220/23/7/3468/pdf?version=1680091738","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:37050528","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37050528","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:pubmedcentral.nih.gov:10099216","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10099216","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10099216/pdf/sensors-23-03468.pdf","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"},{"id":"pmh:oai:doaj.org/article:abc787eb6b8141f79db2b17e24e7d8fb","is_oa":true,"landing_page_url":"https://doaj.org/article/abc787eb6b8141f79db2b17e24e7d8fb","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 23, Iss 7, p 3468 (2023)","raw_type":"article"},{"id":"pmh:oai:figshare.com:article/27571902","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Simultaneous_Sleep_Stage_and_Sleep_Disorder_Detection_from_Multimodal_Sensors_Using_Deep_Learning/27571902","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"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":"","raw_type":"Text"},{"id":"pmh:oai:mdpi.com:/1424-8220/23/7/3468/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s23073468","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; Volume 23; Issue 7; Pages: 3468","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s23073468","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23073468","pdf_url":"https://www.mdpi.com/1424-8220/23/7/3468/pdf?version=1680091738","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":[{"display_name":"Peace, Justice and strong institutions","score":0.8100000023841858,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320315885","display_name":"Australian Government","ror":"https://ror.org/0314h5y94"},{"id":"https://openalex.org/F4320320972","display_name":"RMIT University","ror":"https://ror.org/04ttjf776"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4361009410.pdf"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W160785014","https://openalex.org/W1978347377","https://openalex.org/W1980230025","https://openalex.org/W2117296910","https://openalex.org/W2131659142","https://openalex.org/W2144691514","https://openalex.org/W2162800060","https://openalex.org/W2756339226","https://openalex.org/W2763349794","https://openalex.org/W2794026873","https://openalex.org/W2805033630","https://openalex.org/W2805075551","https://openalex.org/W2890235399","https://openalex.org/W2969159609","https://openalex.org/W3020837326","https://openalex.org/W3115293403","https://openalex.org/W3127137534","https://openalex.org/W3167960760","https://openalex.org/W4206141328","https://openalex.org/W4206990233","https://openalex.org/W4220868306","https://openalex.org/W4288064577","https://openalex.org/W6606539394"],"related_works":["https://openalex.org/W4312417841","https://openalex.org/W4321369474","https://openalex.org/W2731899572","https://openalex.org/W2114603675","https://openalex.org/W2887033966","https://openalex.org/W4231994957","https://openalex.org/W2984929129","https://openalex.org/W3211546796","https://openalex.org/W1968950976","https://openalex.org/W4294975059"],"abstract_inverted_index":{"Sleep":[0,152],"scoring":[1],"involves":[2],"the":[3,29,35,49,110,114,118,127,134,145,149,201,207],"inspection":[4],"of":[5,8,19,38,52,107,117,163,168,181,186],"multimodal":[6,58,70,131],"recordings":[7],"sleep":[9,14,20,27,40,44,53,119,122,171,189],"data":[10,60,100,103],"to":[11,138],"detect":[12],"potential":[13],"disorders.":[15],"Given":[16],"that":[17,126,200],"symptoms":[18],"disorders":[21,56],"may":[22],"be":[23],"correlated":[24],"with":[25,97,154,196],"specific":[26],"stages,":[28],"diagnosis":[30],"is":[31],"typically":[32],"supported":[33],"by":[34],"simultaneous":[36],"identification":[37,116],"a":[39,43,67,98],"stage":[41,120,172],"and":[42,55,63,71,88,102,121,130,140,165,176,183],"disorder.":[45,123],"This":[46],"paper":[47],"investigates":[48],"automatic":[50],"recognition":[51],"stages":[54],"from":[57],"sensory":[59],"(EEG,":[61],"ECG,":[62],"EMG).":[64],"We":[65,124,143],"propose":[66],"new":[68],"distributed":[69],"multilabel":[72,129],"decision-making":[73],"system":[74],"(MML-DMS).":[75],"It":[76],"comprises":[77],"several":[78],"interconnected":[79],"classifier":[80],"modules,":[81],"including":[82],"deep":[83],"convolutional":[84],"neural":[85,91],"networks":[86,92],"(CNNs)":[87],"shallow":[89],"perceptron":[90],"(NNs).":[93],"Each":[94],"module":[95],"works":[96],"different":[99],"modality":[101],"label.":[104],"The":[105],"flow":[106],"information":[108],"between":[109],"MML-DMS":[111,147],"modules":[112],"provides":[113],"final":[115],"show":[125],"fused":[128],"method":[132],"improves":[133,205],"diagnostic":[135],"performance":[136],"compared":[137],"single-label":[139],"single-modality":[141],"approaches.":[142,210],"tested":[144],"proposed":[146,202],"on":[148],"PhysioNet":[150],"CAP":[151],"Database,":[153],"VGG16":[155],"CNN":[156],"structures,":[157],"achieving":[158],"an":[159,177],"average":[160,178],"classification":[161,179],"accuracy":[162,180],"94.34%":[164],"F1":[166,184],"score":[167,185],"0.92":[169],"for":[170,188],"detection":[173,191],"(six":[174],"stages)":[175],"99.09%":[182],"0.99":[187],"disorder":[190],"(eight":[192],"disorders).":[193],"A":[194],"comparison":[195],"related":[197],"studies":[198],"indicates":[199],"approach":[203],"significantly":[204],"upon":[206],"existing":[208],"state-of-the-art":[209]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
