{"id":"https://openalex.org/W2775321819","doi":"https://doi.org/10.3390/s17122877","title":"Modular Bayesian Networks with Low-Power Wearable Sensors for Recognizing Eating Activities","display_name":"Modular Bayesian Networks with Low-Power Wearable Sensors for Recognizing Eating Activities","publication_year":2017,"publication_date":"2017-12-11","ids":{"openalex":"https://openalex.org/W2775321819","doi":"https://doi.org/10.3390/s17122877","mag":"2775321819","pmid":"https://pubmed.ncbi.nlm.nih.gov/29232937"},"language":"en","primary_location":{"id":"doi:10.3390/s17122877","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s17122877","pdf_url":"https://www.mdpi.com/1424-8220/17/12/2877/pdf?version=1513074526","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/1424-8220/17/12/2877/pdf?version=1513074526","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103594733","display_name":"Kee-Hoon Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kee-Hoon Kim","raw_affiliation_strings":["Department of Computer Science, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102775641","display_name":"Sung-Bae Cho","orcid":"https://orcid.org/0000-0002-0185-1769"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Sung-Bae Cho","raw_affiliation_strings":["Department of Computer Science, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Korea"],"raw_orcid":"https://orcid.org/0000-0002-0185-1769","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Korea","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5102775641"],"corresponding_institution_ids":["https://openalex.org/I193775966"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.9242,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.84514879,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"17","issue":"12","first_page":"2877","last_page":"2877"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9912999868392944,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10866","display_name":"Nutritional Studies and Diet","score":0.9817000031471252,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"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/wearable-computer","display_name":"Wearable computer","score":0.801109790802002},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.7115010023117065},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6943563222885132},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.6849305629730225},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6679481267929077},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6520004272460938},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5778222680091858},{"id":"https://openalex.org/keywords/wearable-technology","display_name":"Wearable technology","score":0.5580708980560303},{"id":"https://openalex.org/keywords/modular-design","display_name":"Modular design","score":0.5547715425491333},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5192387700080872},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4831051826477051},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4562905430793762},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4370361566543579},{"id":"https://openalex.org/keywords/accelerometer","display_name":"Accelerometer","score":0.41660356521606445},{"id":"https://openalex.org/keywords/dynamic-bayesian-network","display_name":"Dynamic Bayesian network","score":0.4155310094356537},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34529951214790344},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.33438438177108765},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.2145390510559082},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10871714353561401},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.09489494562149048}],"concepts":[{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.801109790802002},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.7115010023117065},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6943563222885132},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.6849305629730225},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6679481267929077},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6520004272460938},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5778222680091858},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.5580708980560303},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.5547715425491333},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5192387700080872},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4831051826477051},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4562905430793762},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4370361566543579},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.41660356521606445},{"id":"https://openalex.org/C82142266","wikidata":"https://www.wikidata.org/wiki/Q3456604","display_name":"Dynamic Bayesian network","level":3,"score":0.4155310094356537},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34529951214790344},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.33438438177108765},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.2145390510559082},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10871714353561401},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.09489494562149048},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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}],"mesh":[{"descriptor_ui":"D000068997","descriptor_name":"Smartphone","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000068997","descriptor_name":"Smartphone","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000068997","descriptor_name":"Smartphone","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000076251","descriptor_name":"Wearable Electronic Devices","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000076251","descriptor_name":"Wearable Electronic Devices","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000076251","descriptor_name":"Wearable Electronic Devices","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000203","descriptor_name":"Activities of Daily Living","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000203","descriptor_name":"Activities of Daily Living","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000203","descriptor_name":"Activities of Daily Living","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","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":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.3390/s17122877","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s17122877","pdf_url":"https://www.mdpi.com/1424-8220/17/12/2877/pdf?version=1513074526","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:29232937","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29232937","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:eff69d85c6b744db8ce92b7ad9b3c58b","is_oa":true,"landing_page_url":"https://doaj.org/article/eff69d85c6b744db8ce92b7ad9b3c58b","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 17, Iss 12, p 2877 (2017)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/17/12/2877/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s17122877","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 17; Issue 12; Pages: 2877","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:5751632","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5751632","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/s17122877","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s17122877","pdf_url":"https://www.mdpi.com/1424-8220/17/12/2877/pdf?version=1513074526","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/G2328325172","display_name":null,"funder_award_id":"17ZS1800","funder_id":"https://openalex.org/F4320322093","funder_display_name":"Electronics and Telecommunications Research Institute"}],"funders":[{"id":"https://openalex.org/F4320322093","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2775321819.pdf","grobid_xml":"https://content.openalex.org/works/W2775321819.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W1541680420","https://openalex.org/W1551782597","https://openalex.org/W1598741436","https://openalex.org/W1770751474","https://openalex.org/W1913582850","https://openalex.org/W1973221871","https://openalex.org/W2054780155","https://openalex.org/W2057067088","https://openalex.org/W2105046342","https://openalex.org/W2126511896","https://openalex.org/W2141018395","https://openalex.org/W2167703577","https://openalex.org/W2170724010","https://openalex.org/W2171145593","https://openalex.org/W2232966085","https://openalex.org/W2501634593","https://openalex.org/W2565752111","https://openalex.org/W4241483628","https://openalex.org/W6638807381","https://openalex.org/W6683089612","https://openalex.org/W6731892705"],"related_works":["https://openalex.org/W2706752825","https://openalex.org/W2405411278","https://openalex.org/W2578973671","https://openalex.org/W2215058820","https://openalex.org/W2945000716","https://openalex.org/W2157783866","https://openalex.org/W2097663773","https://openalex.org/W1602184117","https://openalex.org/W2564827943","https://openalex.org/W25758512"],"abstract_inverted_index":{"Recently,":[0],"recognizing":[1],"a":[2,7,14,110,143,164,235],"user's":[3,71],"daily":[4,115],"activity":[5,87,98,135],"using":[6,113],"smartphone":[8],"and":[9,42,48,62,69,118,137,141,166,174,198,200],"wearable":[10,67,119],"sensors":[11],"has":[12,234],"become":[13],"popular":[15],"issue.":[16],"However,":[17],"in":[18,33],"contrast":[19],"with":[20,36,55,146,187],"the":[21,60,66,70,86,105,123,130,138,157,171,176,180,185,214],"ideal":[22],"definition":[23],"of":[24,65,99,104,109,156,194,213,229],"an":[25,77],"experiment,":[26],"there":[27],"could":[28,221],"be":[29,90],"numerous":[30],"complex":[31,53,111],"activities":[32,54,190],"real":[34],"life":[35],"respect":[37],"to":[38,89,149,169],"its":[39],"various":[40,195],"background":[41],"contexts:":[43],"time,":[44],"space,":[45],"age,":[46],"culture,":[47],"so":[49],"on.":[50],"Recognizing":[51],"these":[52],"limited":[56],"low-power":[57,116],"sensors,":[58],"considering":[59],"power":[61],"memory":[63],"constraints":[64],"environment":[68],"obtrusiveness":[72],"at":[73],"once":[74],"is":[75,82,102,161,240],"not":[76],"easy":[78],"problem,":[79],"although":[80],"it":[81],"very":[83,236],"crucial":[84],"for":[85],"recognizer":[88],"practically":[91],"useful.":[92],"In":[93],"this":[94],"paper,":[95],"we":[96,127,183],"recognize":[97],"eating,":[100],"which":[101,205],"one":[103,228],"most":[106],"typical":[107],"examples":[108],"activity,":[112],"only":[114],"mobile":[117],"sensors.":[120],"To":[121,178],"organize":[122],"related":[124],"contexts":[125,152,230],"systemically,":[126],"have":[128,201],"constructed":[129],"context":[131],"model":[132],"based":[133],"on":[134],"theory":[136],"\"Five":[139],"W's\",":[140],"propose":[142],"Bayesian":[144,159],"network":[145,160],"88":[147],"nodes":[148],"predict":[150],"uncertain":[151],"probabilistically.":[153],"The":[154],"structure":[155],"proposed":[158,181],"designed":[162],"by":[163,210],"modular":[165],"tree-structured":[167],"approach":[168,220],"reduce":[170],"time":[172],"complexity":[173],"increase":[175],"scalability.":[177],"evaluate":[179],"method,":[182],"collected":[184],"data":[186],"10":[188],"different":[189],"from":[191],"25":[192],"volunteers":[193],"ages,":[196],"occupations,":[197],"jobs,":[199],"obtained":[202],"79.71%":[203],"accuracy,":[204],"outperforms":[206],"other":[207],"conventional":[208],"classifiers":[209],"7.54-14.4%.":[211],"Analyses":[212],"results":[215,225],"showed":[216],"that":[217],"our":[218],"probabilistic":[219],"also":[222],"give":[223],"approximate":[224],"even":[226],"when":[227],"or":[231,239],"sensor":[232],"values":[233],"heterogeneous":[237],"pattern":[238],"missing.":[241]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":4}],"updated_date":"2026-05-21T09:19:25.381259","created_date":"2025-10-10T00:00:00"}