{"id":"https://openalex.org/W2964573743","doi":"https://doi.org/10.3390/s19153340","title":"A Novel Human Respiration Pattern Recognition Using Signals of Ultra-Wideband Radar Sensor","display_name":"A Novel Human Respiration Pattern Recognition Using Signals of Ultra-Wideband Radar Sensor","publication_year":2019,"publication_date":"2019-07-30","ids":{"openalex":"https://openalex.org/W2964573743","doi":"https://doi.org/10.3390/s19153340","mag":"2964573743","pmid":"https://pubmed.ncbi.nlm.nih.gov/31366102"},"language":"en","primary_location":{"id":"doi:10.3390/s19153340","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s19153340","pdf_url":"https://www.mdpi.com/1424-8220/19/15/3340/pdf?version=1564483562","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/1424-8220/19/15/3340/pdf?version=1564483562","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100769345","display_name":"Seong-Hoon Kim","orcid":"https://orcid.org/0000-0003-2962-3722"},"institutions":[{"id":"https://openalex.org/I12832649","display_name":"Gachon University","ror":"https://ror.org/03ryywt80","country_code":"KR","type":"education","lineage":["https://openalex.org/I12832649"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seong-Hoon Kim","raw_affiliation_strings":["Department of Computer Engineering, Gachon University, Seongnam 13120, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Gachon University, Seongnam 13120, Korea","institution_ids":["https://openalex.org/I12832649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005365069","display_name":"Zong Woo Geem","orcid":"https://orcid.org/0000-0002-0370-5562"},"institutions":[{"id":"https://openalex.org/I12832649","display_name":"Gachon University","ror":"https://ror.org/03ryywt80","country_code":"KR","type":"education","lineage":["https://openalex.org/I12832649"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Zong Woo Geem","raw_affiliation_strings":["Department of Energy IT, Gachon University, Seongnam 13120, Korea"],"raw_orcid":"https://orcid.org/0000-0002-0370-5562","affiliations":[{"raw_affiliation_string":"Department of Energy IT, Gachon University, Seongnam 13120, Korea","institution_ids":["https://openalex.org/I12832649"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013436301","display_name":"Gi-Tae Han","orcid":"https://orcid.org/0000-0002-5905-9424"},"institutions":[{"id":"https://openalex.org/I12832649","display_name":"Gachon University","ror":"https://ror.org/03ryywt80","country_code":"KR","type":"education","lineage":["https://openalex.org/I12832649"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Gi-Tae Han","raw_affiliation_strings":["Department of Computer Engineering, Gachon University, Seongnam 13120, Korea"],"raw_orcid":"https://orcid.org/0000-0002-5905-9424","affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Gachon University, Seongnam 13120, Korea","institution_ids":["https://openalex.org/I12832649"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5013436301"],"corresponding_institution_ids":["https://openalex.org/I12832649"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":1.1956,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.77179467,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"19","issue":"15","first_page":"3340","last_page":"3340"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/T10234","display_name":"Obstructive Sleep Apnea Research","score":0.9778000116348267,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9735000133514404,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6027916073799133},{"id":"https://openalex.org/keywords/polysomnography","display_name":"Polysomnography","score":0.5848288536071777},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5845655798912048},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5651745200157166},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5515251159667969},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5154107809066772},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.4586501121520996},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.37975165247917175},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.18458741903305054},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17871347069740295},{"id":"https://openalex.org/keywords/apnea","display_name":"Apnea","score":0.16170313954353333},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1261824071407318},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12043797969818115}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6027916073799133},{"id":"https://openalex.org/C2778205975","wikidata":"https://www.wikidata.org/wiki/Q1754874","display_name":"Polysomnography","level":3,"score":0.5848288536071777},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5845655798912048},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5651745200157166},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5515251159667969},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5154107809066772},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.4586501121520996},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.37975165247917175},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.18458741903305054},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17871347069740295},{"id":"https://openalex.org/C2781326671","wikidata":"https://www.wikidata.org/wiki/Q754424","display_name":"Apnea","level":2,"score":0.16170313954353333},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1261824071407318},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12043797969818115},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001049","descriptor_name":"Apnea","qualifier_ui":"Q000503","qualifier_name":"physiopathology","is_major_topic":false},{"descriptor_ui":"D001049","descriptor_name":"Apnea","qualifier_ui":"Q000503","qualifier_name":"physiopathology","is_major_topic":false},{"descriptor_ui":"D001049","descriptor_name":"Apnea","qualifier_ui":"Q000503","qualifier_name":"physiopathology","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":"D009038","descriptor_name":"Motion","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009038","descriptor_name":"Motion","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009038","descriptor_name":"Motion","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011825","descriptor_name":"Radar","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D011825","descriptor_name":"Radar","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D011825","descriptor_name":"Radar","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012119","descriptor_name":"Respiration","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012119","descriptor_name":"Respiration","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012119","descriptor_name":"Respiration","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017286","descriptor_name":"Polysomnography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D017286","descriptor_name":"Polysomnography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D017286","descriptor_name":"Polysomnography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D059246","descriptor_name":"Tachypnea","qualifier_ui":"Q000503","qualifier_name":"physiopathology","is_major_topic":false},{"descriptor_ui":"D059246","descriptor_name":"Tachypnea","qualifier_ui":"Q000503","qualifier_name":"physiopathology","is_major_topic":false},{"descriptor_ui":"D059246","descriptor_name":"Tachypnea","qualifier_ui":"Q000503","qualifier_name":"physiopathology","is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.3390/s19153340","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s19153340","pdf_url":"https://www.mdpi.com/1424-8220/19/15/3340/pdf?version=1564483562","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:31366102","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31366102","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:26d09bbe2dc048d99821f49eca8c89cb","is_oa":true,"landing_page_url":"https://doaj.org/article/26d09bbe2dc048d99821f49eca8c89cb","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 19, Iss 15, p 3340 (2019)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/19/15/3340/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/s19153340","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","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:6696104","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6696104","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/s19153340","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s19153340","pdf_url":"https://www.mdpi.com/1424-8220/19/15/3340/pdf?version=1564483562","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":[{"score":0.5600000023841858,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2964573743.pdf","grobid_xml":"https://content.openalex.org/works/W2964573743.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W9033544","https://openalex.org/W1538279119","https://openalex.org/W1765423873","https://openalex.org/W1984046653","https://openalex.org/W1986851653","https://openalex.org/W2017475793","https://openalex.org/W2019651024","https://openalex.org/W2030107550","https://openalex.org/W2075959322","https://openalex.org/W2078654638","https://openalex.org/W2092938587","https://openalex.org/W2097108711","https://openalex.org/W2115200921","https://openalex.org/W2134639649","https://openalex.org/W2134977136","https://openalex.org/W2144454196","https://openalex.org/W2278742361","https://openalex.org/W2294097794","https://openalex.org/W2296445552","https://openalex.org/W2342611082","https://openalex.org/W2467325985","https://openalex.org/W2507284445","https://openalex.org/W2598391117","https://openalex.org/W2780161630","https://openalex.org/W2782837544","https://openalex.org/W2794833149","https://openalex.org/W2797898470","https://openalex.org/W2808004990","https://openalex.org/W2808132240","https://openalex.org/W2809354516","https://openalex.org/W2894120069","https://openalex.org/W2896370767","https://openalex.org/W2906759948","https://openalex.org/W2949908750","https://openalex.org/W2964218314","https://openalex.org/W4233858349","https://openalex.org/W6670301228","https://openalex.org/W6677347520","https://openalex.org/W6752197496","https://openalex.org/W6752702310"],"related_works":["https://openalex.org/W3093612317","https://openalex.org/W2175746458","https://openalex.org/W2732542196","https://openalex.org/W2767651786","https://openalex.org/W2760085659","https://openalex.org/W2883200793","https://openalex.org/W2738221750","https://openalex.org/W3012978760","https://openalex.org/W2912288872","https://openalex.org/W2940661641"],"abstract_inverted_index":{"Recently,":[0],"various":[1],"studies":[2],"have":[3,83],"been":[4,57],"conducted":[5],"on":[6,59,134],"the":[7,35,45,115,120,125,130,135,159],"quality":[8],"of":[9,49,137,142,146,152,171],"sleep":[10,38],"in":[11,19,71,119],"medical":[12],"and":[13,47,91,103,112,144,176],"health":[14],"care":[15],"fields.":[16],"Sleep":[17],"analysis":[18],"these":[20,77],"areas":[21],"is":[22,165],"typically":[23],"performed":[24],"through":[25,129],"polysomnography.":[26],"However,":[27],"since":[28],"polysomnography":[29],"involves":[30],"attaching":[31],"sensor":[32],"devices":[33],"to":[34,44,75],"body,":[36],"accurate":[37],"measurements":[39],"may":[40],"be":[41],"difficult":[42],"due":[43],"inconvenience":[46],"sensitivity":[48],"physical":[50],"contact.":[51],"In":[52,79],"recent":[53],"years,":[54],"research":[55],"has":[56],"focused":[58],"using":[60,88],"sensors":[61],"such":[62],"as":[63],"Ultra-wideband":[64,89],"Radar,":[65],"which":[66,164],"can":[67,101],"acquire":[68],"bio-signals":[69],"even":[70],"a":[72],"non-contact":[73],"environment,":[74],"solve":[76],"problems.":[78],"this":[80],"paper,":[81],"we":[82,123],"acquired":[84],"respiratory":[85],"signal":[86,116],"data":[87],"Radar":[90],"proposed":[92,121,160],"1D":[93],"CNN":[94],"(1-Dimension":[95],"Convolutional":[96],"Neural":[97],"Network)":[98],"model":[99],"that":[100,170],"classify":[102],"recognize":[104],"five":[105,153],"respiration":[106],"patterns":[107,155],"(Eupnea,":[108],"Bradypnea,":[109],"Tachypnea,":[110],"Apnea,":[111],"Motion)":[113],"from":[114],"data.":[117],"Also,":[118],"model,":[122],"find":[124],"optimum":[126],"parameter":[127],"range":[128],"recognition":[131,150],"rate":[132,151],"experiment":[133],"combination":[136],"parameters":[138],"(layer":[139],"depth,":[140],"size":[141],"kernel,":[143],"number":[145],"kernels).":[147],"The":[148],"average":[149],"breathing":[154],"experimented":[156],"by":[157],"applying":[158],"method":[161],"was":[162],"93.9%,":[163],"about":[166],"3%~13%":[167],"higher":[168],"than":[169],"conventional":[172],"methods":[173],"(LDA,":[174],"SVM,":[175],"MLP).":[177]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":7}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}