{"id":"https://openalex.org/W2741289421","doi":"https://doi.org/10.3390/s17081729","title":"An Ensemble Deep Convolutional Neural Network Model with Improved D-S Evidence Fusion for Bearing Fault Diagnosis","display_name":"An Ensemble Deep Convolutional Neural Network Model with Improved D-S Evidence Fusion for Bearing Fault Diagnosis","publication_year":2017,"publication_date":"2017-07-28","ids":{"openalex":"https://openalex.org/W2741289421","doi":"https://doi.org/10.3390/s17081729","mag":"2741289421","pmid":"https://pubmed.ncbi.nlm.nih.gov/28788099"},"language":"en","primary_location":{"id":"doi:10.3390/s17081729","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s17081729","pdf_url":"https://www.mdpi.com/1424-8220/17/8/1729/pdf?version=1507519467","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/1424-8220/17/8/1729/pdf?version=1507519467","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100354322","display_name":"Shaobo Li","orcid":"https://orcid.org/0000-0003-4759-6000"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaobo Li","raw_affiliation_strings":["Key Laboratory of Advanced Manufacturing Technology, Ministry of Education, Guizhou University, Guiyang 550025, China","School of Mechanical Engineering, Guizhou University, Guiyang 550025, China"],"raw_orcid":"https://orcid.org/0000-0003-4759-6000","affiliations":[{"raw_affiliation_string":"Key Laboratory of Advanced Manufacturing Technology, Ministry of Education, Guizhou University, Guiyang 550025, China","institution_ids":["https://openalex.org/I178232147"]},{"raw_affiliation_string":"School of Mechanical Engineering, Guizhou University, Guiyang 550025, China","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102856827","display_name":"Guokai Liu","orcid":"https://orcid.org/0000-0002-6746-7137"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guokai Liu","raw_affiliation_strings":["Key Laboratory of Advanced Manufacturing Technology, Ministry of Education, Guizhou University, Guiyang 550025, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Advanced Manufacturing Technology, Ministry of Education, Guizhou University, Guiyang 550025, China","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103060458","display_name":"Xianghong Tang","orcid":"https://orcid.org/0000-0002-3961-5649"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianghong Tang","raw_affiliation_strings":["Key Laboratory of Advanced Manufacturing Technology, Ministry of Education, Guizhou University, Guiyang 550025, China","School of Mechanical Engineering, Guizhou University, Guiyang 550025, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Advanced Manufacturing Technology, Ministry of Education, Guizhou University, Guiyang 550025, China","institution_ids":["https://openalex.org/I178232147"]},{"raw_affiliation_string":"School of Mechanical Engineering, Guizhou University, Guiyang 550025, China","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037067067","display_name":"Jianguang Lu","orcid":"https://orcid.org/0000-0002-2191-1570"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianguang Lu","raw_affiliation_strings":["Key Laboratory of Advanced Manufacturing Technology, Ministry of Education, Guizhou University, Guiyang 550025, China","School of Mechanical Engineering, Guizhou University, Guiyang 550025, China"],"raw_orcid":"https://orcid.org/0000-0002-2191-1570","affiliations":[{"raw_affiliation_string":"Key Laboratory of Advanced Manufacturing Technology, Ministry of Education, Guizhou University, Guiyang 550025, China","institution_ids":["https://openalex.org/I178232147"]},{"raw_affiliation_string":"School of Mechanical Engineering, Guizhou University, Guiyang 550025, China","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060537711","display_name":"Jianjun Hu","orcid":"https://orcid.org/0000-0002-8725-6660"},"institutions":[{"id":"https://openalex.org/I155781252","display_name":"University of South Carolina","ror":"https://ror.org/02b6qw903","country_code":"US","type":"education","lineage":["https://openalex.org/I155781252"]},{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN","US"],"is_corresponding":true,"raw_author_name":"Jianjun Hu","raw_affiliation_strings":["Department of Computer Science and Engineering, University of South Carolina, Columbia, SC 29208, USA","School of Mechanical Engineering, Guizhou University, Guiyang 550025, China"],"raw_orcid":"https://orcid.org/0000-0002-8725-6660","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of South Carolina, Columbia, SC 29208, USA","institution_ids":["https://openalex.org/I155781252"]},{"raw_affiliation_string":"School of Mechanical Engineering, Guizhou University, Guiyang 550025, China","institution_ids":["https://openalex.org/I178232147"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5060537711"],"corresponding_institution_ids":["https://openalex.org/I155781252","https://openalex.org/I178232147"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":12.8014,"has_fulltext":true,"cited_by_count":209,"citation_normalized_percentile":{"value":0.99138254,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"17","issue":"8","first_page":"1729","last_page":"1729"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10876","display_name":"Fault Detection and Control Systems","score":0.986299991607666,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T13891","display_name":"Engineering Diagnostics and Reliability","score":0.98089998960495,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8003103733062744},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.6586806178092957},{"id":"https://openalex.org/keywords/bearing","display_name":"Bearing (navigation)","score":0.6494526863098145},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.585005521774292},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5818141102790833},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5433202385902405},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5247752070426941},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4391985535621643},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38483989238739014},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.09828907251358032},{"id":"https://openalex.org/keywords/seismology","display_name":"Seismology","score":0.07964494824409485}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8003103733062744},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.6586806178092957},{"id":"https://openalex.org/C199978012","wikidata":"https://www.wikidata.org/wiki/Q1273815","display_name":"Bearing (navigation)","level":2,"score":0.6494526863098145},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.585005521774292},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5818141102790833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5433202385902405},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5247752070426941},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4391985535621643},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38483989238739014},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.09828907251358032},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.07964494824409485},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":7,"locations":[{"id":"doi:10.3390/s17081729","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s17081729","pdf_url":"https://www.mdpi.com/1424-8220/17/8/1729/pdf?version=1507519467","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:28788099","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28788099","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:scholarcommons.sc.edu:csce_facpub-1266","is_oa":true,"landing_page_url":"https://scholarcommons.sc.edu/csce_facpub/255","pdf_url":null,"source":{"id":"https://openalex.org/S4306401386","display_name":"Scholar Commons (University of South Carolina)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I155781252","host_organization_name":"University of South Carolina","host_organization_lineage":["https://openalex.org/I155781252"],"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":"Faculty Publications","raw_type":"text"},{"id":"pmh:oai:scholarcommons.sc.edu:csce_facpub-1285","is_oa":true,"landing_page_url":"https://scholarcommons.sc.edu/csce_facpub/285","pdf_url":null,"source":{"id":"https://openalex.org/S4306401386","display_name":"Scholar Commons (University of South Carolina)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I155781252","host_organization_name":"University of South Carolina","host_organization_lineage":["https://openalex.org/I155781252"],"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":"Faculty Publications","raw_type":"text"},{"id":"pmh:oai:doaj.org/article:9cfc1e96027a4bd987aad6cbd9739384","is_oa":true,"landing_page_url":"https://doaj.org/article/9cfc1e96027a4bd987aad6cbd9739384","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 8, p 1729 (2017)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/17/8/1729/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s17081729","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 8; Pages: 1729","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:5579931","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5579931","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/s17081729","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s17081729","pdf_url":"https://www.mdpi.com/1424-8220/17/8/1729/pdf?version=1507519467","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":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.49000000953674316}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2741289421.pdf","grobid_xml":"https://content.openalex.org/works/W2741289421.grobid-xml"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W215449996","https://openalex.org/W243674440","https://openalex.org/W1199827394","https://openalex.org/W1838067451","https://openalex.org/W1966659765","https://openalex.org/W1967879920","https://openalex.org/W1982705494","https://openalex.org/W1985310528","https://openalex.org/W1985716425","https://openalex.org/W1999066512","https://openalex.org/W2003542523","https://openalex.org/W2010131194","https://openalex.org/W2014817964","https://openalex.org/W2019912274","https://openalex.org/W2027176154","https://openalex.org/W2034751647","https://openalex.org/W2037114379","https://openalex.org/W2048196003","https://openalex.org/W2050365060","https://openalex.org/W2051463173","https://openalex.org/W2052091458","https://openalex.org/W2061495571","https://openalex.org/W2069747869","https://openalex.org/W2071908367","https://openalex.org/W2074315341","https://openalex.org/W2078673035","https://openalex.org/W2082526668","https://openalex.org/W2084327162","https://openalex.org/W2114463407","https://openalex.org/W2119530413","https://openalex.org/W2126584714","https://openalex.org/W2141347502","https://openalex.org/W2148660560","https://openalex.org/W2167251835","https://openalex.org/W2171496202","https://openalex.org/W2188373328","https://openalex.org/W2219903032","https://openalex.org/W2305415255","https://openalex.org/W2320886514","https://openalex.org/W2362708743","https://openalex.org/W2369572352","https://openalex.org/W2461729787","https://openalex.org/W2485614840","https://openalex.org/W2556644206","https://openalex.org/W2584994008","https://openalex.org/W3121258721","https://openalex.org/W6679144490","https://openalex.org/W6686854991","https://openalex.org/W6981320639"],"related_works":["https://openalex.org/W4226493464","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3029198973","https://openalex.org/W2575656761","https://openalex.org/W2065631063","https://openalex.org/W2378667342","https://openalex.org/W2594567802","https://openalex.org/W2363739414"],"abstract_inverted_index":{"Intelligent":[0],"machine":[1,122],"health":[2],"monitoring":[3],"and":[4,47,94,134,136],"fault":[5,16,37,117],"diagnosis":[6,17,38,118],"are":[7],"becoming":[8],"increasingly":[9],"important":[10],"for":[11,24],"modern":[12],"manufacturing":[13],"industries.":[14],"Current":[15],"approaches":[18],"mostly":[19],"depend":[20],"on":[21,41,103],"expert-designed":[22],"features":[23,72],"building":[25],"prediction":[26],"models.":[27],"In":[28],"this":[29],"paper,":[30],"we":[31],"proposed":[32],"IDSCNN,":[33],"a":[34],"novel":[35],"bearing":[36],"algorithm":[39,113],"based":[40,52],"ensemble":[42],"deep":[43],"convolutional":[44,56],"neural":[45,57],"networks":[46,58],"an":[48],"improved":[49,83],"Dempster-Shafer":[50],"theory":[51,86],"evidence":[53,85],"fusion.":[54],"The":[55,82],"take":[59],"the":[60,67,74,101,104],"root":[61],"mean":[62],"square":[63],"(RMS)":[64],"maps":[65],"from":[66,77,92,131],"FFT":[68],"(Fast":[69],"Fourier":[70],"Transformation)":[71],"of":[73,100],"vibration":[75],"signals":[76],"two":[78],"sensors":[79,135],"as":[80],"inputs.":[81],"D-S":[84],"is":[87],"implemented":[88],"via":[89],"distance":[90],"matrix":[91],"evidences":[93,130],"modified":[95],"Gini":[96],"Index.":[97],"Extensive":[98],"evaluations":[99],"IDSCNN":[102,112],"Case":[105],"Western":[106],"Reserve":[107],"Dataset":[108],"showed":[109],"that":[110],"our":[111],"can":[114],"achieve":[115],"better":[116],"performance":[119],"than":[120],"existing":[121],"learning":[123],"methods":[124],"by":[125],"fusing":[126],"complementary":[127],"or":[128],"conflicting":[129],"different":[132,139],"models":[133],"adapting":[137],"to":[138],"load":[140],"conditions.":[141]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":24},{"year":2023,"cited_by_count":29},{"year":2022,"cited_by_count":24},{"year":2021,"cited_by_count":30},{"year":2020,"cited_by_count":33},{"year":2019,"cited_by_count":33},{"year":2018,"cited_by_count":15},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}