{"id":"https://openalex.org/W3094221424","doi":"https://doi.org/10.3390/s20216055","title":"Empirical Mode Decomposition Based Multi-Modal Activity Recognition","display_name":"Empirical Mode Decomposition Based Multi-Modal Activity Recognition","publication_year":2020,"publication_date":"2020-10-24","ids":{"openalex":"https://openalex.org/W3094221424","doi":"https://doi.org/10.3390/s20216055","mag":"3094221424","pmid":"https://pubmed.ncbi.nlm.nih.gov/33114352"},"language":"en","primary_location":{"id":"doi:10.3390/s20216055","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20216055","pdf_url":"https://www.mdpi.com/1424-8220/20/21/6055/pdf","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":"letter","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/20/21/6055/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053403892","display_name":"Lingyue Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingyue Hu","raw_affiliation_strings":["School of Information Engineering, Guangdong University of Technology, Guangzhou 511006, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Guangdong University of Technology, Guangzhou 511006, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072066185","display_name":"Kailong Zhao","orcid":"https://orcid.org/0000-0003-0593-4809"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kailong Zhao","raw_affiliation_strings":["School of Information Engineering, Guangdong University of Technology, Guangzhou 511006, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Guangdong University of Technology, Guangzhou 511006, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006059084","display_name":"Xueling Zhou","orcid":"https://orcid.org/0000-0001-9838-5452"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueling Zhou","raw_affiliation_strings":["School of Information Engineering, Guangdong University of Technology, Guangzhou 511006, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Guangdong University of Technology, Guangzhou 511006, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022036826","display_name":"Bingo Wing\u2010Kuen Ling","orcid":"https://orcid.org/0000-0002-0633-7224"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bingo Wing-Kuen Ling","raw_affiliation_strings":["School of Information Engineering, Guangdong University of Technology, Guangzhou 511006, China"],"raw_orcid":"https://orcid.org/0000-0002-0633-7224","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Guangdong University of Technology, Guangzhou 511006, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042068542","display_name":"Guo-Zhao Liao","orcid":"https://orcid.org/0009-0001-4594-4676"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guozhao Liao","raw_affiliation_strings":["School of Information Engineering, Guangdong University of Technology, Guangzhou 511006, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Guangdong University of Technology, Guangzhou 511006, China","institution_ids":["https://openalex.org/I139024713"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5022036826"],"corresponding_institution_ids":["https://openalex.org/I139024713"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.3426,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.57272372,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"20","issue":"21","first_page":"6055","last_page":"6055"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998999834060669,"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":0.9998999834060669,"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9965000152587891,"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"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.8736727237701416},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.6766778826713562},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5942192673683167},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5876311659812927},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.555762767791748},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5553262233734131},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.5284103155136108},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.500760555267334},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4918813705444336},{"id":"https://openalex.org/keywords/impulse-response","display_name":"Impulse response","score":0.4712653160095215},{"id":"https://openalex.org/keywords/mode","display_name":"Mode (computer interface)","score":0.46261411905288696},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4352380037307739},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.43323245644569397},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.42141228914260864},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.348388135433197},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.19093003869056702},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17791584134101868},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.1574585735797882}],"concepts":[{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.8736727237701416},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.6766778826713562},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5942192673683167},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5876311659812927},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.555762767791748},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5553262233734131},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.5284103155136108},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.500760555267334},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4918813705444336},{"id":"https://openalex.org/C72279823","wikidata":"https://www.wikidata.org/wiki/Q1139726","display_name":"Impulse response","level":2,"score":0.4712653160095215},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.46261411905288696},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4352380037307739},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.43323245644569397},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.42141228914260864},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.348388135433197},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.19093003869056702},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17791584134101868},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.1574585735797882},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s20216055","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20216055","pdf_url":"https://www.mdpi.com/1424-8220/20/21/6055/pdf","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:33114352","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33114352","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:f31c4caf9b0e4e57b736e46f94b07af2","is_oa":true,"landing_page_url":"https://doaj.org/article/f31c4caf9b0e4e57b736e46f94b07af2","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 20, Iss 21, p 6055 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/20/21/6055/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s20216055","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 20; Issue 21; Pages: 6055","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:7662633","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7662633","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s20216055","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20216055","pdf_url":"https://www.mdpi.com/1424-8220/20/21/6055/pdf","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8830247714","display_name":null,"funder_award_id":"no. U1701266, no. 61372173 and no. 61671163","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3094221424.pdf"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W273955616","https://openalex.org/W1880153096","https://openalex.org/W1988897480","https://openalex.org/W1996031526","https://openalex.org/W2045468728","https://openalex.org/W2079488626","https://openalex.org/W2092854482","https://openalex.org/W2102244548","https://openalex.org/W2108705549","https://openalex.org/W2125936497","https://openalex.org/W2135955729","https://openalex.org/W2156372729","https://openalex.org/W2758080665","https://openalex.org/W2944181534","https://openalex.org/W2973290014","https://openalex.org/W3010162591","https://openalex.org/W3044551758","https://openalex.org/W3047499635","https://openalex.org/W3048745029","https://openalex.org/W3084255915","https://openalex.org/W6610017368"],"related_works":["https://openalex.org/W3014107421","https://openalex.org/W2363056446","https://openalex.org/W2081563414","https://openalex.org/W2359718298","https://openalex.org/W2377062149","https://openalex.org/W2380939102","https://openalex.org/W154554909","https://openalex.org/W2072581623","https://openalex.org/W2019749506","https://openalex.org/W2472834008"],"abstract_inverted_index":{"This":[0,211,236],"paper":[1,58,107,129],"aims":[2],"to":[3,9,12,24,28,34,63,83,134],"develop":[4],"an":[5],"activity":[6,136,148,180,221,250],"recognition":[7,149,161],"algorithm":[8],"allow":[10],"parents":[11],"monitor":[13],"their":[14],"children":[15],"at":[16],"home":[17],"after":[18],"school.":[19],"A":[20],"common":[21,80],"method":[22,230],"used":[23,82,178],"analyze":[25,84],"electroencephalograms":[26,37,66,85],"is":[27,100,139,150,177],"use":[29],"infinite":[30],"impulse":[31],"response":[32],"filters":[33],"decompose":[35,64],"the":[36,65,97,125,131,143,160,188,208,213,217,232,238,242],"into":[38,67,75],"various":[39,68],"brain":[40],"wave":[41],"components.":[42],"However,":[43,90],"nonlinear":[44,243],"phase":[45],"distortions":[46],"will":[47],"be":[48],"introduced":[49],"by":[50],"these":[51,121],"filters.":[52],"To":[53,102],"address":[54,103],"this":[55,57,104,106,128,164],"issue,":[56,105],"applies":[59],"empirical":[60,227],"mode":[61,70,118,228],"decomposition":[62],"intrinsic":[69,117],"functions":[71],"and":[72,88,120,174,244],"categorize":[73],"them":[74],"four":[76],"groups.":[77],"In":[78,163,223],"addition,":[79,224],"features":[81],"are":[86,93,122,197],"energy":[87],"entropy.":[89],"because":[91],"there":[92],"only":[94],"two":[95,203],"features,":[96],"available":[98],"information":[99],"limited.":[101],"extracts":[108],"11":[109],"different":[110],"physical":[111],"quantities":[112],"from":[113],"each":[114],"group":[115],"of":[116,156,195,205,215,240],"functions,":[119],"employed":[123],"as":[124],"features.":[126],"Finally,":[127],"uses":[130],"random":[132],"forest":[133],"perform":[135],"recognition.":[137,181,222,251],"It":[138],"worth":[140],"noting":[141],"that":[142,187],"conventional":[144,233],"approach":[145,219,248],"for":[146,179,220,249],"performing":[147],"based":[151,169,191,201],"on":[152,170,192,202],"a":[153,166],"single":[154],"type":[155],"signal,":[157],"which":[158],"limits":[159],"performance.":[162],"paper,":[165],"multi-modal":[167,218],"system":[168],"electroencephalograms,":[171],"image":[172],"sequences,":[173],"motion":[175],"signals":[176],"The":[182],"numerical":[183],"simulation":[184],"results":[185],"show":[186],"percentage":[189],"accuracies":[190],"three":[193],"types":[194,204],"signal":[196,206],"higher":[198],"than":[199],"those":[200],"or":[207],"individual":[209],"signals.":[210],"demonstrates":[212,237],"advantages":[214,239],"using":[216,241],"our":[225],"proposed":[226],"decomposition-based":[229],"outperforms":[231],"filtering-based":[234],"method.":[235],"adaptive":[245],"time":[246],"frequency":[247]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-22T06:13:13.366637","created_date":"2025-10-10T00:00:00"}