{"id":"https://openalex.org/W1992027090","doi":"https://doi.org/10.1109/tmi.2014.2379914","title":"Nonparametric Hemodynamic Deconvolution of fMRI Using Homomorphic Filtering","display_name":"Nonparametric Hemodynamic Deconvolution of fMRI Using Homomorphic Filtering","publication_year":2014,"publication_date":"2014-12-12","ids":{"openalex":"https://openalex.org/W1992027090","doi":"https://doi.org/10.1109/tmi.2014.2379914","mag":"1992027090","pmid":"https://pubmed.ncbi.nlm.nih.gov/25531878"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2014.2379914","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2014.2379914","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"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 Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103810118","display_name":"Karthik Sreenivasan","orcid":null},"institutions":[{"id":"https://openalex.org/I82497590","display_name":"Auburn University","ror":"https://ror.org/02v80fc35","country_code":"US","type":"education","lineage":["https://openalex.org/I82497590"]},{"id":"https://openalex.org/I1316902750","display_name":"Cleveland Clinic","ror":"https://ror.org/03xjacd83","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1316902750"]},{"id":"https://openalex.org/I2800445466","display_name":"Lou Ruvo Brain Institute","ror":"https://ror.org/03wqknk68","country_code":"US","type":"facility","lineage":["https://openalex.org/I2800445466"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Karthik Ramakrishnan Sreenivasan","raw_affiliation_strings":["Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV","AU MRI Research Center, Department of Electrical and Computer Engineering, Auburn University Auburn, AL, USA"],"affiliations":[{"raw_affiliation_string":"Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV","institution_ids":["https://openalex.org/I2800445466","https://openalex.org/I1316902750"]},{"raw_affiliation_string":"AU MRI Research Center, Department of Electrical and Computer Engineering, Auburn University Auburn, AL, USA","institution_ids":["https://openalex.org/I82497590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046878536","display_name":"Martin Havl\u00ed\u010dek","orcid":"https://orcid.org/0000-0001-9217-8268"},"institutions":[{"id":"https://openalex.org/I34352273","display_name":"Maastricht University","ror":"https://ror.org/02jz4aj89","country_code":"NL","type":"education","lineage":["https://openalex.org/I34352273"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Martin Havlicek","raw_affiliation_strings":["Department of Cognitive Neuroscience, Maastricht University, Maastricht, Netherlands","[Department of Cognitive Neuroscience, Maastricht University, Maastricht, Netherlands]"],"affiliations":[{"raw_affiliation_string":"Department of Cognitive Neuroscience, Maastricht University, Maastricht, Netherlands","institution_ids":["https://openalex.org/I34352273"]},{"raw_affiliation_string":"[Department of Cognitive Neuroscience, Maastricht University, Maastricht, Netherlands]","institution_ids":["https://openalex.org/I34352273"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000419170","display_name":"Gopikrishna Deshpande","orcid":"https://orcid.org/0000-0001-7471-5357"},"institutions":[{"id":"https://openalex.org/I82497590","display_name":"Auburn University","ror":"https://ror.org/02v80fc35","country_code":"US","type":"education","lineage":["https://openalex.org/I82497590"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gopikrishna Deshpande","raw_affiliation_strings":["Department of Electrical and Computer Engineering, AU MRI Research Center, Auburn, AL, USA","AU MRI Research Center, Department of Electrical and Computer Engineering, Department of Psychology, Auburn University, Auburn, AL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, AU MRI Research Center, Auburn, AL, USA","institution_ids":["https://openalex.org/I82497590"]},{"raw_affiliation_string":"AU MRI Research Center, Department of Electrical and Computer Engineering, Department of Psychology, Auburn University, Auburn, AL, USA","institution_ids":["https://openalex.org/I82497590"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103810118"],"corresponding_institution_ids":["https://openalex.org/I1316902750","https://openalex.org/I2800445466","https://openalex.org/I82497590"],"apc_list":null,"apc_paid":null,"fwci":2.4498,"has_fulltext":false,"cited_by_count":68,"citation_normalized_percentile":{"value":0.88375926,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"34","issue":"5","first_page":"1155","last_page":"1163"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9994999766349792,"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/deconvolution","display_name":"Deconvolution","score":0.8892617225646973},{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.6136693954467773},{"id":"https://openalex.org/keywords/functional-magnetic-resonance-imaging","display_name":"Functional magnetic resonance imaging","score":0.6070013642311096},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6035446524620056},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.594200849533081},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5851870179176331},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5547218322753906},{"id":"https://openalex.org/keywords/blind-deconvolution","display_name":"Blind deconvolution","score":0.5522859692573547},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5098227858543396},{"id":"https://openalex.org/keywords/parametric-model","display_name":"Parametric model","score":0.4693753719329834},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.4389108419418335},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.42738527059555054},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4186999201774597},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3407602310180664},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.324435830116272},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.31681227684020996},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15296289324760437},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.12348219752311707},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.11908671259880066}],"concepts":[{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.8892617225646973},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.6136693954467773},{"id":"https://openalex.org/C2779226451","wikidata":"https://www.wikidata.org/wiki/Q903809","display_name":"Functional magnetic resonance imaging","level":2,"score":0.6070013642311096},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6035446524620056},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.594200849533081},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5851870179176331},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5547218322753906},{"id":"https://openalex.org/C30044814","wikidata":"https://www.wikidata.org/wiki/Q11334452","display_name":"Blind deconvolution","level":3,"score":0.5522859692573547},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5098227858543396},{"id":"https://openalex.org/C24574437","wikidata":"https://www.wikidata.org/wiki/Q7135228","display_name":"Parametric model","level":3,"score":0.4693753719329834},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.4389108419418335},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.42738527059555054},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4186999201774597},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3407602310180664},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.324435830116272},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.31681227684020996},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15296289324760437},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.12348219752311707},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.11908671259880066},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000098","qualifier_name":"blood supply","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000098","qualifier_name":"blood supply","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000098","qualifier_name":"blood supply","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","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},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","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":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tmi.2014.2379914","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2014.2379914","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"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 Medical Imaging","raw_type":"journal-article"},{"id":"pmid:25531878","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/25531878","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 medical imaging","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":78,"referenced_works":["https://openalex.org/W1481876203","https://openalex.org/W1489339388","https://openalex.org/W1573926986","https://openalex.org/W1599181452","https://openalex.org/W1603313343","https://openalex.org/W1766888123","https://openalex.org/W1967101654","https://openalex.org/W1971032479","https://openalex.org/W1972904647","https://openalex.org/W1974731011","https://openalex.org/W1978510898","https://openalex.org/W1989446137","https://openalex.org/W1991517787","https://openalex.org/W1995379035","https://openalex.org/W1998855618","https://openalex.org/W1999209819","https://openalex.org/W2003035294","https://openalex.org/W2015880358","https://openalex.org/W2020126697","https://openalex.org/W2021768951","https://openalex.org/W2023487677","https://openalex.org/W2025319485","https://openalex.org/W2030844863","https://openalex.org/W2032857037","https://openalex.org/W2034729798","https://openalex.org/W2039849255","https://openalex.org/W2040891197","https://openalex.org/W2044685455","https://openalex.org/W2046433577","https://openalex.org/W2053728866","https://openalex.org/W2055266204","https://openalex.org/W2063539434","https://openalex.org/W2064804379","https://openalex.org/W2064948657","https://openalex.org/W2066269182","https://openalex.org/W2067763719","https://openalex.org/W2070862915","https://openalex.org/W2074118939","https://openalex.org/W2075230644","https://openalex.org/W2082906925","https://openalex.org/W2083136232","https://openalex.org/W2089484174","https://openalex.org/W2096219383","https://openalex.org/W2097280009","https://openalex.org/W2098303658","https://openalex.org/W2099168648","https://openalex.org/W2100974241","https://openalex.org/W2107187638","https://openalex.org/W2110745932","https://openalex.org/W2114377386","https://openalex.org/W2117663940","https://openalex.org/W2121050823","https://openalex.org/W2123329525","https://openalex.org/W2123526233","https://openalex.org/W2123586737","https://openalex.org/W2124481262","https://openalex.org/W2125923236","https://openalex.org/W2128404997","https://openalex.org/W2129584734","https://openalex.org/W2129621723","https://openalex.org/W2131540185","https://openalex.org/W2139376466","https://openalex.org/W2139496068","https://openalex.org/W2143570353","https://openalex.org/W2149153247","https://openalex.org/W2150307220","https://openalex.org/W2151590495","https://openalex.org/W2155290691","https://openalex.org/W2159784657","https://openalex.org/W2165702390","https://openalex.org/W2170797424","https://openalex.org/W2240741273","https://openalex.org/W2312316331","https://openalex.org/W2467783999","https://openalex.org/W2478884216","https://openalex.org/W2495614755","https://openalex.org/W3152046960","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2034520358","https://openalex.org/W2028099218","https://openalex.org/W2059639161","https://openalex.org/W2586325539","https://openalex.org/W2058895457","https://openalex.org/W1538056422","https://openalex.org/W2029084792","https://openalex.org/W2023738877","https://openalex.org/W2147401053","https://openalex.org/W2589098082"],"abstract_inverted_index":{"Functional":[0],"magnetic":[1],"resonance":[2],"imaging":[3],"(fMRI)":[4],"is":[5,13,53,73,90],"an":[6,96],"indirect":[7],"measure":[8],"of":[9,18,32,143,172,182,232],"neural":[10,49,67,203,235],"activity":[11,68],"which":[12],"modeled":[14],"as":[15],"a":[16,109],"convolution":[17],"the":[19,24,30,40,57,60,70,75,119,124,133,141,144,149,157,170,200,215,228,233],"latent":[20,66,120,202,234],"neuronal":[21,121],"response":[22,26,122,204],"and":[23,69,88,191,208],"hemodynamic":[25,146],"function":[27],"(HRF).":[28],"Since":[29],"sources":[31],"HRF":[33,58,72],"variability":[34],"can":[35],"be":[36,78,186],"nonneural":[37],"in":[38,177,214,226],"nature,":[39],"measured":[41],"fMRI":[42,61,125,183],"signal":[43,126],"does":[44],"not":[45],"faithfully":[46],"represent":[47],"underlying":[48],"activity.":[50],"Therefore,":[51],"it":[52,89],"advantageous":[54],"to":[55,102,117,132],"deconvolve":[56],"from":[59,123,159,166,205],"signal.":[62],"However,":[63],"since":[64,199],"both":[65,206,222],"voxel-specific":[71],"unknown,":[74],"deconvolution":[76,82,111,161,180],"must":[77],"blind.":[79],"Existing":[80],"blind":[81],"approaches":[83],"employ":[84],"highly":[85,178,212],"parameterized":[86,179],"models,":[87],"unclear":[91],"whether":[92],"these":[93,104],"models":[94,181],"have":[95],"over":[97,173,187],"fitting":[98,174],"problem.":[99],"In":[100],"order":[101],"address":[103],"issues,":[105],"we":[106],"1)":[107],"present":[108],"nonparametric":[110,160,209],"method":[112],"based":[113,139],"on":[114,140],"homomorphic":[115],"filtering":[116],"obtain":[118],"and,":[127],"2)":[128],"compare":[129],"our":[130,197],"approach":[131],"best":[134],"performing":[135],"existing":[136],"parametric":[137,167,207],"model":[138,147],"estimation":[142,176],"biophysical":[145],"using":[148],"Cubature":[150],"Kalman":[151],"Filter/Smoother.":[152],"We":[153],"hypothesized":[154],"that":[155,164,221],"if":[156],"results":[158,193],"closely":[162],"resembled":[163],"obtained":[165],"deconvolution,":[168],"then":[169],"problem":[171],"during":[175],"could":[184],"possibly":[185],"stated.":[188],"Both":[189],"simulations":[190,219],"experimental":[192],"demonstrate":[194],"support":[195],"for":[196],"hypothesis":[198],"estimated":[201],"methods":[210,223],"were":[211,224],"correlated":[213],"visual":[216],"cortex.":[217],"Further,":[218],"showed":[220],"effective":[225],"recovering":[227],"simulated":[229],"ground":[230],"truth":[231],"response.":[236]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
