{"id":"https://openalex.org/W2185491959","doi":"https://doi.org/10.1109/tbcas.2015.2483618","title":"A 128-Channel Extreme Learning Machine-Based Neural Decoder for Brain Machine Interfaces","display_name":"A 128-Channel Extreme Learning Machine-Based Neural Decoder for Brain Machine Interfaces","publication_year":2015,"publication_date":"2015-12-08","ids":{"openalex":"https://openalex.org/W2185491959","doi":"https://doi.org/10.1109/tbcas.2015.2483618","mag":"2185491959","pmid":"https://pubmed.ncbi.nlm.nih.gov/26672048"},"language":"en","primary_location":{"id":"doi:10.1109/tbcas.2015.2483618","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbcas.2015.2483618","pdf_url":null,"source":{"id":"https://openalex.org/S80299757","display_name":"IEEE Transactions on Biomedical Circuits and Systems","issn_l":"1932-4545","issn":["1932-4545","1940-9990"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Biomedical Circuits and Systems","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1509.07450","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100419255","display_name":"Yi Chen","orcid":"https://orcid.org/0000-0002-4416-554X"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yi Chen","raw_affiliation_strings":["Centre of Excellence in IC Design (VIRTUS), Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre of Excellence in IC Design (VIRTUS), Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035510566","display_name":"Enyi Yao","orcid":"https://orcid.org/0000-0002-0019-2263"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Enyi Yao","raw_affiliation_strings":["Centre of Excellence in IC Design (VIRTUS), Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre of Excellence in IC Design (VIRTUS), Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002380437","display_name":"Arindam Basu","orcid":"https://orcid.org/0000-0003-1035-8770"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Arindam Basu","raw_affiliation_strings":["Centre of Excellence in IC Design (VIRTUS), Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre of Excellence in IC Design (VIRTUS), Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":5.6119,"has_fulltext":false,"cited_by_count":124,"citation_normalized_percentile":{"value":0.96245728,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"10","issue":"3","first_page":"679","last_page":"692"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9995999932289124,"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/T12676","display_name":"Machine Learning and ELM","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/coprocessor","display_name":"Coprocessor","score":0.7614350914955139},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7575546503067017},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.7272276878356934},{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.6411634683609009},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5988671779632568},{"id":"https://openalex.org/keywords/cmos","display_name":"CMOS","score":0.5730968117713928},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5362028479576111},{"id":"https://openalex.org/keywords/extreme-learning-machine","display_name":"Extreme learning machine","score":0.5195974707603455},{"id":"https://openalex.org/keywords/asynchronous-communication","display_name":"Asynchronous communication","score":0.449083536863327},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4382474720478058},{"id":"https://openalex.org/keywords/neural-decoding","display_name":"Neural decoding","score":0.4278154969215393},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.4154726564884186},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4027724266052246},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.2625468373298645},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.23132550716400146},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.15750768780708313},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1450110375881195}],"concepts":[{"id":"https://openalex.org/C86111242","wikidata":"https://www.wikidata.org/wiki/Q859595","display_name":"Coprocessor","level":2,"score":0.7614350914955139},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7575546503067017},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.7272276878356934},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.6411634683609009},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5988671779632568},{"id":"https://openalex.org/C46362747","wikidata":"https://www.wikidata.org/wiki/Q173431","display_name":"CMOS","level":2,"score":0.5730968117713928},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5362028479576111},{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.5195974707603455},{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.449083536863327},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4382474720478058},{"id":"https://openalex.org/C40743351","wikidata":"https://www.wikidata.org/wiki/Q7002049","display_name":"Neural decoding","level":3,"score":0.4278154969215393},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.4154726564884186},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4027724266052246},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.2625468373298645},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23132550716400146},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.15750768780708313},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1450110375881195},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","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":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000882","descriptor_name":"Haplorhini","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000882","descriptor_name":"Haplorhini","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000882","descriptor_name":"Haplorhini","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004582","descriptor_name":"Electronics, Medical","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":false},{"descriptor_ui":"D004582","descriptor_name":"Electronics, Medical","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":false},{"descriptor_ui":"D004582","descriptor_name":"Electronics, Medical","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":false},{"descriptor_ui":"D005385","descriptor_name":"Fingers","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D005385","descriptor_name":"Fingers","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D005385","descriptor_name":"Fingers","qualifier_ui":"Q000502","qualifier_name":"physiology","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":"D009474","descriptor_name":"Neurons","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009474","descriptor_name":"Neurons","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009474","descriptor_name":"Neurons","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D062207","descriptor_name":"Brain-Computer Interfaces","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D062207","descriptor_name":"Brain-Computer Interfaces","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D062207","descriptor_name":"Brain-Computer Interfaces","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1109/tbcas.2015.2483618","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbcas.2015.2483618","pdf_url":null,"source":{"id":"https://openalex.org/S80299757","display_name":"IEEE Transactions on Biomedical Circuits and Systems","issn_l":"1932-4545","issn":["1932-4545","1940-9990"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Biomedical Circuits and Systems","raw_type":"journal-article"},{"id":"pmid:26672048","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26672048","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":"IEEE transactions on biomedical circuits and systems","raw_type":"Journal Article"},{"id":"pmh:oai:arXiv.org:1509.07450","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1509.07450","pdf_url":"https://arxiv.org/pdf/1509.07450","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1509.07450","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1509.07450","pdf_url":"https://arxiv.org/pdf/1509.07450","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.9100000262260437,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1489864343","https://openalex.org/W1603076440","https://openalex.org/W1967989262","https://openalex.org/W1976252090","https://openalex.org/W1983278353","https://openalex.org/W1989301509","https://openalex.org/W1999118804","https://openalex.org/W2009794463","https://openalex.org/W2014307680","https://openalex.org/W2015458554","https://openalex.org/W2026131661","https://openalex.org/W2035371449","https://openalex.org/W2040212171","https://openalex.org/W2040750693","https://openalex.org/W2063978378","https://openalex.org/W2077386045","https://openalex.org/W2086659790","https://openalex.org/W2086681809","https://openalex.org/W2087185095","https://openalex.org/W2087704839","https://openalex.org/W2087939279","https://openalex.org/W2098179667","https://openalex.org/W2099198033","https://openalex.org/W2111072639","https://openalex.org/W2112616259","https://openalex.org/W2114530531","https://openalex.org/W2119235711","https://openalex.org/W2121341398","https://openalex.org/W2123395972","https://openalex.org/W2126488336","https://openalex.org/W2126894902","https://openalex.org/W2127809011","https://openalex.org/W2130378394","https://openalex.org/W2138534441","https://openalex.org/W2145208111","https://openalex.org/W2147220972","https://openalex.org/W2149795588","https://openalex.org/W2164563113","https://openalex.org/W2168228040","https://openalex.org/W2177464813","https://openalex.org/W2293361586","https://openalex.org/W2406533156","https://openalex.org/W3142095621","https://openalex.org/W3147875956","https://openalex.org/W6652708602","https://openalex.org/W6678945949","https://openalex.org/W6682342152"],"related_works":["https://openalex.org/W3202969339","https://openalex.org/W2067443264","https://openalex.org/W4237513258","https://openalex.org/W2044053727","https://openalex.org/W1994410349","https://openalex.org/W3177028067","https://openalex.org/W31566076","https://openalex.org/W1913385466","https://openalex.org/W2889342546","https://openalex.org/W2015048155"],"abstract_inverted_index":{"Currently,":[0],"state-of-the-art":[1],"motor":[2,31],"intention":[3,32],"decoding":[4,33,102],"algorithms":[5],"in":[6,25,34,40,69,95],"brain-machine":[7,36],"interfaces":[8,37],"are":[9,77],"mostly":[10],"implemented":[11],"on":[12],"a":[13,61,101,144],"PC":[14],"and":[15,48,72],"consume":[16],"significant":[17],"amount":[18],"of":[19,57,64,82,104,118,140,151,153],"power.":[20],"A":[21],"machine":[22],"learning":[23,68],"coprocessor":[24,111],"0.35-":[26],"\u03bcm":[27],"CMOS":[28],"for":[29,106],"the":[30,35,83,129],"is":[38,89,112],"presented":[39],"this":[41],"paper.":[42],"Using":[43],"Extreme":[44],"Learning":[45],"Machine":[46],"algorithm":[47],"low-power":[49],"analog":[50,85],"processing,":[51],"it":[52],"achieves":[53],"an":[54],"energy":[55],"efficiency":[56],"3.45":[58],"pJ/MAC":[59],"at":[60],"classification":[62,130],"rate":[63],"50":[65],"Hz.":[66],"The":[67,87,109],"second":[70],"stage":[71],"corresponding":[73],"digitally":[74],"stored":[75],"coefficients":[76],"used":[78,114],"to":[79,115],"increase":[80],"robustness":[81],"core":[84],"processor.":[86],"chip":[88],"verified":[90],"with":[91,137],"neural":[92,122],"data":[93],"recorded":[94],"monkey":[96],"finger":[97],"movements":[98],"experiment,":[99],"achieving":[100],"accuracy":[103,131],"99.3%":[105],"movement":[107,119],"type.":[108],"same":[110],"also":[113],"decode":[116],"time":[117],"from":[120],"asynchronous":[121],"spikes.":[123],"With":[124],"time-delayed":[125],"feature":[126],"dimension":[127],"enhancement,":[128],"can":[132],"be":[133],"increased":[134],"by":[135,156],"5%":[136],"limited":[138],"number":[139,152],"input":[141],"channels.":[142],"Further,":[143],"sparsity":[145],"promoting":[146],"training":[147],"scheme":[148],"enables":[149],"reduction":[150],"programmable":[154],"weights":[155],"\u2248":[157],"2X.":[158]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":15},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":18},{"year":2019,"cited_by_count":18},{"year":2018,"cited_by_count":12},{"year":2017,"cited_by_count":13},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":1}],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-10-10T00:00:00"}