{"id":"https://openalex.org/W2129967410","doi":"https://doi.org/10.1109/tbme.2009.2028876","title":"Wavelet-Domain Medical Image Denoising Using Bivariate Laplacian Mixture Model","display_name":"Wavelet-Domain Medical Image Denoising Using Bivariate Laplacian Mixture Model","publication_year":2009,"publication_date":"2009-08-21","ids":{"openalex":"https://openalex.org/W2129967410","doi":"https://doi.org/10.1109/tbme.2009.2028876","mag":"2129967410","pmid":"https://pubmed.ncbi.nlm.nih.gov/19695984"},"language":"en","primary_location":{"id":"doi:10.1109/tbme.2009.2028876","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2009.2028876","pdf_url":null,"source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"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 Engineering","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/A5052490368","display_name":"Hossein Rabbani","orcid":"https://orcid.org/0000-0002-0551-3636"},"institutions":[{"id":"https://openalex.org/I114982161","display_name":"Isfahan University of Medical Sciences","ror":"https://ror.org/04waqzz56","country_code":"IR","type":"education","lineage":["https://openalex.org/I114982161"]},{"id":"https://openalex.org/I39268498","display_name":"University of Isfahan","ror":"https://ror.org/05h9t7759","country_code":"IR","type":"education","lineage":["https://openalex.org/I39268498"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Hossein Rabbani","raw_affiliation_strings":["Department of Biomedical Engineering, Isfahan University of Medical Sciences, Isfahan, Iran. h_rabbani@med.mui.ac.ir","Dept. of Biomed. Eng., Isfahan Univ. of Med. Sci., Isfahan, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Isfahan University of Medical Sciences, Isfahan, Iran. h_rabbani@med.mui.ac.ir","institution_ids":["https://openalex.org/I114982161"]},{"raw_affiliation_string":"Dept. of Biomed. Eng., Isfahan Univ. of Med. Sci., Isfahan, Iran","institution_ids":["https://openalex.org/I39268498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021251913","display_name":"Reza Nezafat","orcid":"https://orcid.org/0000-0002-1963-7138"},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Reza Nezafat","raw_affiliation_strings":["Department of Medicine, Harvard Medical School, Boston, MA, USA","Med. Sch., Dept. of Med., Harvard Univ., Boston, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Medicine, Harvard Medical School, Boston, MA, USA","institution_ids":["https://openalex.org/I136199984"]},{"raw_affiliation_string":"Med. Sch., Dept. of Med., Harvard Univ., Boston, MA, USA","institution_ids":["https://openalex.org/I136199984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025079359","display_name":"Saeed Gazor","orcid":"https://orcid.org/0000-0003-4368-6682"},"institutions":[{"id":"https://openalex.org/I204722609","display_name":"Queen's University","ror":"https://ror.org/02y72wh86","country_code":"CA","type":"education","lineage":["https://openalex.org/I204722609"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Saeed Gazor","raw_affiliation_strings":["Dept. of Electr. & Comput. Eng., Queen's Univ., Kingston, ON, Canada","Dept. of Electr. & Comput. Eng., Queen''s Univ., Kingston, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Queen's Univ., Kingston, ON, Canada","institution_ids":["https://openalex.org/I204722609"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Queen''s Univ., Kingston, ON, Canada","institution_ids":["https://openalex.org/I204722609"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.2557,"has_fulltext":false,"cited_by_count":132,"citation_normalized_percentile":{"value":0.95998656,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"56","issue":"12","first_page":"2826","last_page":"2837"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998999834060669,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998999834060669,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9886999726295471,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9883999824523926,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.7403727769851685},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6631397604942322},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5431380271911621},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.537543773651123},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5296095609664917},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.4529912769794464},{"id":"https://openalex.org/keywords/bivariate-analysis","display_name":"Bivariate analysis","score":0.4457271993160248},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4438104033470154},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.43967241048812866},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43623924255371094},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43167567253112793},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.230398029088974},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18335333466529846}],"concepts":[{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.7403727769851685},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6631397604942322},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5431380271911621},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.537543773651123},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5296095609664917},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.4529912769794464},{"id":"https://openalex.org/C64341305","wikidata":"https://www.wikidata.org/wiki/Q4919225","display_name":"Bivariate analysis","level":2,"score":0.4457271993160248},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4438104033470154},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.43967241048812866},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43623924255371094},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43167567253112793},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.230398029088974},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18335333466529846}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"D007089","descriptor_name":"Image Enhancement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007089","descriptor_name":"Image Enhancement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007089","descriptor_name":"Image Enhancement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","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":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tbme.2009.2028876","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2009.2028876","pdf_url":null,"source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"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 Engineering","raw_type":"journal-article"},{"id":"pmid:19695984","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/19695984","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 bio-medical engineering","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.5}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1596437242","https://openalex.org/W1970576638","https://openalex.org/W1981237013","https://openalex.org/W1995429372","https://openalex.org/W2009322048","https://openalex.org/W2011344206","https://openalex.org/W2012595504","https://openalex.org/W2018332268","https://openalex.org/W2030521421","https://openalex.org/W2032871739","https://openalex.org/W2035737465","https://openalex.org/W2049914887","https://openalex.org/W2059784307","https://openalex.org/W2064526599","https://openalex.org/W2065391104","https://openalex.org/W2073143118","https://openalex.org/W2081859730","https://openalex.org/W2085626973","https://openalex.org/W2086397300","https://openalex.org/W2086565990","https://openalex.org/W2094037325","https://openalex.org/W2098415878","https://openalex.org/W2105672072","https://openalex.org/W2108207814","https://openalex.org/W2110206939","https://openalex.org/W2111595891","https://openalex.org/W2113945798","https://openalex.org/W2117770369","https://openalex.org/W2124335859","https://openalex.org/W2125527601","https://openalex.org/W2132140814","https://openalex.org/W2132222322","https://openalex.org/W2134929491","https://openalex.org/W2136017820","https://openalex.org/W2141431859","https://openalex.org/W2143163922","https://openalex.org/W2146842127","https://openalex.org/W2152047336","https://openalex.org/W2158940042","https://openalex.org/W2160637922","https://openalex.org/W2161882007","https://openalex.org/W2169183970","https://openalex.org/W2170885533","https://openalex.org/W2798681570","https://openalex.org/W4214806317","https://openalex.org/W4296142362"],"related_works":["https://openalex.org/W2541950815","https://openalex.org/W1577789985","https://openalex.org/W2037328875","https://openalex.org/W1982375519","https://openalex.org/W2942471066","https://openalex.org/W1555440674","https://openalex.org/W2351994652","https://openalex.org/W4251295253","https://openalex.org/W2050964513","https://openalex.org/W2170885533"],"abstract_inverted_index":{"In":[0,123],"this":[1],"paper,":[2],"we":[3,47,125],"proposed":[4,139,160],"novel":[5],"noise":[6,165,232],"reduction":[7,166,233],"algorithms":[8,141],"that":[9,202],"can":[10],"be":[11],"used":[12],"to":[13,92],"enhance":[14],"image":[15],"quality":[16],"in":[17,78,155,163,190,249,252],"various":[18],"medical":[19],"imaging":[20,245],"modalities":[21],"such":[22,240,259],"as":[23,51,135,174,241,260],"magnetic":[24],"resonance":[25],"and":[26,84,103,105,115,192],"multidetector":[27],"computed":[28],"tomography.":[29],"The":[30,82,97,159,181],"noisy":[31],"captured":[32],"3-D":[33],"data":[34,50,57,77,254],"are":[35,142,171,188],"first":[36],"transformed":[37,80],"by":[38],"discrete":[39],"complex":[40],"wavelet":[41],"transform.":[42],"Using":[43],"a":[44,66,136,175],"nonlinear":[45],"function,":[46],"model":[48,131],"the":[49,52,55,75,79,95,109,117,127,130,138,146,156,168],"sum":[53],"of":[54,68,112,120,129,149,177],"clean":[56,76,113],"plus":[58],"additive":[59],"Gaussian":[60],"or":[61],"Rayleigh":[62],"noise.":[63,96],"We":[64],"use":[65],"mixture":[67,102],"bivariate":[69],"Laplacian":[70],"probability":[71],"density":[72],"functions":[73,184,207],"for":[74,221,235],"domain.":[81],"MAP":[83],"minimum":[85],"mean-squared":[86],"error":[87],"(MMSE)":[88],"estimators":[89],"allow":[90],"us":[91],"efficiently":[93,193],"reduce":[94],"employed":[98],"prior":[99],"distribution":[100,111],"is":[101,151,218],"bivariate,":[104],"thus":[106],"accurately":[107],"characterizes":[108],"heavy-tail":[110],"images":[114,200,211],"exploits":[116],"interscale":[118],"properties":[119],"wavelets":[121,150],"coefficients.":[122],"addition,":[124],"estimate":[126],"parameters":[128],"using":[132],"local":[133],"information;":[134],"result,":[137],"denoising":[140],"spatially":[143],"adaptive,":[144],"i.e.,":[145],"intrascale":[147],"dependency":[148],"also":[152],"well":[153],"exploited":[154],"enhancement":[157],"process.":[158],"approach":[161],"results":[162,248],"significant":[164],"while":[167,246],"introduced":[169],"distortions":[170],"not":[172],"noticeable":[173],"result":[176],"accurate":[178],"statistical":[179],"modeling.":[180],"obtained":[182],"shrinkage":[183,206],"have":[185,225],"closed":[186],"form,":[187],"simple":[189],"implementation,":[191],"enhances":[194],"data.":[195,263],"Our":[196],"experiments":[197],"on":[198],"CT":[199,222],"show":[201],"among":[203],"our":[204],"derived":[205],"usually":[208],"BiLapGausMAP":[209],"produces":[210],"with":[212,255],"higher":[213,256],"peak":[214],"SNR.":[215],"However,":[216],"BiLapGausMMSE":[217],"preferred":[219],"especially":[220],"images,":[223],"which":[224],"high":[226],"SNRs.":[227],"Furthermore,":[228],"BiLapRayMAP":[229],"yields":[230],"better":[231,250],"performance":[234,251],"low":[236],"SNR":[237,258],"MR":[238,253],"datasets":[239],"high-resolution":[242],"whole":[243],"heart":[244],"BiLapGauMAP":[247],"intrinsic":[257],"functional":[261],"cine":[262]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":12},{"year":2017,"cited_by_count":10},{"year":2016,"cited_by_count":10},{"year":2015,"cited_by_count":13},{"year":2014,"cited_by_count":8},{"year":2013,"cited_by_count":8},{"year":2012,"cited_by_count":6}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}