{"id":"https://openalex.org/W2946864864","doi":"https://doi.org/10.1186/s13640-019-0445-4","title":"Machine learning hyperparameter selection for Contrast Limited Adaptive Histogram Equalization","display_name":"Machine learning hyperparameter selection for Contrast Limited Adaptive Histogram Equalization","publication_year":2019,"publication_date":"2019-05-06","ids":{"openalex":"https://openalex.org/W2946864864","doi":"https://doi.org/10.1186/s13640-019-0445-4","mag":"2946864864"},"language":"en","primary_location":{"id":"doi:10.1186/s13640-019-0445-4","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13640-019-0445-4","pdf_url":"https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-019-0445-4","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-019-0445-4","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061107308","display_name":"Gabriel Fillipe Centini Campos","orcid":"https://orcid.org/0000-0002-8827-2451"},"institutions":[{"id":"https://openalex.org/I127110123","display_name":"Universidade Estadual de Londrina","ror":"https://ror.org/01585b035","country_code":"BR","type":"education","lineage":["https://openalex.org/I127110123"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Gabriel Fillipe Centini Campos","raw_affiliation_strings":["Electrical Engineering Department, Londrina State University, Rodovia Celso Garcia Cid, Londrina, 86057-970, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, Londrina State University, Rodovia Celso Garcia Cid, Londrina, 86057-970, Brazil","institution_ids":["https://openalex.org/I127110123"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069307015","display_name":"Saulo Martiello Mastelini","orcid":"https://orcid.org/0000-0002-0092-3572"},"institutions":[{"id":"https://openalex.org/I127110123","display_name":"Universidade Estadual de Londrina","ror":"https://ror.org/01585b035","country_code":"BR","type":"education","lineage":["https://openalex.org/I127110123"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Saulo Martiello Mastelini","raw_affiliation_strings":["Computer Science Department, Londrina State University, Rodovia Celso Garcia Cid, Londrina, 86057-970, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Londrina State University, Rodovia Celso Garcia Cid, Londrina, 86057-970, Brazil","institution_ids":["https://openalex.org/I127110123"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051857126","display_name":"Gabriel Jonas Aguiar","orcid":"https://orcid.org/0000-0001-8162-5069"},"institutions":[{"id":"https://openalex.org/I127110123","display_name":"Universidade Estadual de Londrina","ror":"https://ror.org/01585b035","country_code":"BR","type":"education","lineage":["https://openalex.org/I127110123"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Gabriel Jonas Aguiar","raw_affiliation_strings":["Computer Science Department, Londrina State University, Rodovia Celso Garcia Cid, Londrina, 86057-970, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Londrina State University, Rodovia Celso Garcia Cid, Londrina, 86057-970, Brazil","institution_ids":["https://openalex.org/I127110123"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068640530","display_name":"Rafael Gomes Mantovani","orcid":"https://orcid.org/0000-0001-9564-106X"},"institutions":[{"id":"https://openalex.org/I1283613182","display_name":"Universidade Tecnol\u00f3gica Federal do Paran\u00e1","ror":"https://ror.org/002v2kq79","country_code":"BR","type":"education","lineage":["https://openalex.org/I1283613182"]},{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Rafael Gomes Mantovani","raw_affiliation_strings":["Computer Engineering Department, The Federal University of Technology - Paran\u00e1, Apucarana, Brazil","Institute of Mathematical and Computer Science (ICMC), University of S\u00e3o Paulo (USP), Av. Trabalhador S\u00e3o Carlense, 400, S\u00e3o Carlos, 13566-590, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Engineering Department, The Federal University of Technology - Paran\u00e1, Apucarana, Brazil","institution_ids":["https://openalex.org/I1283613182"]},{"raw_affiliation_string":"Institute of Mathematical and Computer Science (ICMC), University of S\u00e3o Paulo (USP), Av. Trabalhador S\u00e3o Carlense, 400, S\u00e3o Carlos, 13566-590, Brazil","institution_ids":["https://openalex.org/I17974374"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013833982","display_name":"Leonimer Fl\u00e1vio de Melo","orcid":"https://orcid.org/0000-0003-1202-0079"},"institutions":[{"id":"https://openalex.org/I127110123","display_name":"Universidade Estadual de Londrina","ror":"https://ror.org/01585b035","country_code":"BR","type":"education","lineage":["https://openalex.org/I127110123"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Leonimer Fl\u00e1vio de Melo","raw_affiliation_strings":["Electrical Engineering Department, Londrina State University, Rodovia Celso Garcia Cid, Londrina, 86057-970, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, Londrina State University, Rodovia Celso Garcia Cid, Londrina, 86057-970, Brazil","institution_ids":["https://openalex.org/I127110123"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004953377","display_name":"Sylvio Barbon","orcid":"https://orcid.org/0000-0002-4988-0702"},"institutions":[{"id":"https://openalex.org/I127110123","display_name":"Universidade Estadual de Londrina","ror":"https://ror.org/01585b035","country_code":"BR","type":"education","lineage":["https://openalex.org/I127110123"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Sylvio Barbon","raw_affiliation_strings":["Computer Science Department, Londrina State University, Rodovia Celso Garcia Cid, Londrina, 86057-970, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Londrina State University, Rodovia Celso Garcia Cid, Londrina, 86057-970, Brazil","institution_ids":["https://openalex.org/I127110123"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5061107308"],"corresponding_institution_ids":["https://openalex.org/I127110123"],"apc_list":{"value":1140,"currency":"GBP","value_usd":1398},"apc_paid":{"value":1140,"currency":"GBP","value_usd":1398},"fwci":5.616,"has_fulltext":true,"cited_by_count":112,"citation_normalized_percentile":{"value":0.96760463,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"2019","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":1.0,"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/T11019","display_name":"Image Enhancement Techniques","score":1.0,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9995999932289124,"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":0.9991000294685364,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/adaptive-histogram-equalization","display_name":"Adaptive histogram equalization","score":0.911310613155365},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.8420910835266113},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.7376827597618103},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7230737209320068},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6658303737640381},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5985546708106995},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5423544049263},{"id":"https://openalex.org/keywords/histogram-equalization","display_name":"Histogram equalization","score":0.5108339786529541},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4711272418498993},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4378683269023895},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4130541980266571},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33713215589523315},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.26535868644714355}],"concepts":[{"id":"https://openalex.org/C30387639","wikidata":"https://www.wikidata.org/wiki/Q4680744","display_name":"Adaptive histogram equalization","level":5,"score":0.911310613155365},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.8420910835266113},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.7376827597618103},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7230737209320068},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6658303737640381},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5985546708106995},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5423544049263},{"id":"https://openalex.org/C136943445","wikidata":"https://www.wikidata.org/wiki/Q1970240","display_name":"Histogram equalization","level":4,"score":0.5108339786529541},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4711272418498993},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4378683269023895},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4130541980266571},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33713215589523315},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.26535868644714355}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1186/s13640-019-0445-4","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13640-019-0445-4","pdf_url":"https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-019-0445-4","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},{"id":"pmh:oai:arts.units.it:11368/3004463","is_oa":true,"landing_page_url":"https://hdl.handle.net/11368/3004463","pdf_url":null,"source":{"id":"https://openalex.org/S4306400480","display_name":"ArTS Archivio della ricerca di Trieste (University of Trieste https://www.units.it/)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I142444530","host_organization_name":"University of Trieste","host_organization_lineage":["https://openalex.org/I142444530"],"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":null,"raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:doaj.org/article:5fe20b451b7740ea96a72cfbc29f5f9f","is_oa":true,"landing_page_url":"https://doaj.org/article/5fe20b451b7740ea96a72cfbc29f5f9f","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EURASIP Journal on Image and Video Processing, Vol 2019, Iss 1, Pp 1-18 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s13640-019-0445-4","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13640-019-0445-4","pdf_url":"https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-019-0445-4","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4588036946","display_name":null,"funder_award_id":"2012/23114-9","funder_id":"https://openalex.org/F4320320997","funder_display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo"}],"funders":[{"id":"https://openalex.org/F4320320997","display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo","ror":"https://ror.org/02ddkpn78"},{"id":"https://openalex.org/F4320325641","display_name":"Universidade Estadual de Londrina","ror":"https://ror.org/01585b035"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2946864864.pdf","grobid_xml":"https://content.openalex.org/works/W2946864864.grobid-xml"},"referenced_works_count":72,"referenced_works":["https://openalex.org/W740415","https://openalex.org/W87810382","https://openalex.org/W188623726","https://openalex.org/W313279739","https://openalex.org/W625827677","https://openalex.org/W840823461","https://openalex.org/W1481460540","https://openalex.org/W1567126838","https://openalex.org/W1587157779","https://openalex.org/W1817040532","https://openalex.org/W1971014006","https://openalex.org/W1976468890","https://openalex.org/W1976478698","https://openalex.org/W1978801499","https://openalex.org/W1995017243","https://openalex.org/W2001412060","https://openalex.org/W2002681914","https://openalex.org/W2037815679","https://openalex.org/W2044465660","https://openalex.org/W2046119925","https://openalex.org/W2046464073","https://openalex.org/W2051730763","https://openalex.org/W2053037512","https://openalex.org/W2059881008","https://openalex.org/W2059971553","https://openalex.org/W2073902423","https://openalex.org/W2095327126","https://openalex.org/W2098478998","https://openalex.org/W2116930408","https://openalex.org/W2118002060","https://openalex.org/W2133665775","https://openalex.org/W2138990104","https://openalex.org/W2149247345","https://openalex.org/W2154566417","https://openalex.org/W2156909104","https://openalex.org/W2161907179","https://openalex.org/W2162802768","https://openalex.org/W2163352848","https://openalex.org/W2168954330","https://openalex.org/W2171349048","https://openalex.org/W2204211205","https://openalex.org/W2219988151","https://openalex.org/W2279236905","https://openalex.org/W2292441838","https://openalex.org/W2294476764","https://openalex.org/W2295526923","https://openalex.org/W2295598076","https://openalex.org/W2314720829","https://openalex.org/W2330820318","https://openalex.org/W2436226714","https://openalex.org/W2518926018","https://openalex.org/W2533621842","https://openalex.org/W2549432962","https://openalex.org/W2551047547","https://openalex.org/W2552684688","https://openalex.org/W2560817862","https://openalex.org/W2565197329","https://openalex.org/W2581531361","https://openalex.org/W2581977723","https://openalex.org/W2590838644","https://openalex.org/W2609293746","https://openalex.org/W2622562231","https://openalex.org/W2748431992","https://openalex.org/W2911964244","https://openalex.org/W2963647106","https://openalex.org/W3085162807","https://openalex.org/W3102476541","https://openalex.org/W3156193910","https://openalex.org/W4237938455","https://openalex.org/W4246484440","https://openalex.org/W6600662749","https://openalex.org/W6836055285"],"related_works":["https://openalex.org/W2057981026","https://openalex.org/W2256021896","https://openalex.org/W2122866860","https://openalex.org/W2165297163","https://openalex.org/W2398368608","https://openalex.org/W1583737874","https://openalex.org/W2134986978","https://openalex.org/W2024449420","https://openalex.org/W3084145657","https://openalex.org/W4309786676"],"abstract_inverted_index":{"Contrast":[0,71],"enhancement":[1,56],"algorithms":[2],"have":[3],"been":[4],"evolved":[5],"through":[6],"last":[7],"decades":[8],"to":[9,127,196],"meet":[10],"the":[11,24,39,54,83,101,106,116,123,141,184,187],"requirement":[12],"of":[13,26,41,53,85,103,125,176,186],"its":[14,31,120,216],"objectives.":[15],"Actually,":[16],"there":[17],"are":[18,58],"two":[19,98],"main":[20],"objectives":[21],"while":[22,214],"enhancing":[23,211],"contrast":[25,55,91,153,177,213],"an":[27],"image:":[28],"(i)":[29],"improve":[30],"appearance":[32],"for":[33,140],"visual":[34],"interpretation":[35],"and":[36,49,105,150,178,199],"(ii)":[37],"facilitate/increase":[38],"performance":[40],"subsequent":[42],"tasks":[43],"(e.g.,":[44],"image":[45,50,117,157,212],"analysis,":[46],"object":[47],"detection,":[48],"segmentation).":[51],"Most":[52],"techniques":[57],"based":[59],"on":[60,97],"histogram":[61],"modifications,":[62],"which":[63,80],"can":[64,81],"be":[65],"performed":[66],"globally":[67],"or":[68],"locally.":[69],"The":[70,144,181],"Limited":[72],"Adaptive":[73],"Histogram":[74],"Equalization":[75],"(CLAHE)":[76],"is":[77],"a":[78,135,164,173],"method":[79,95,139,147,205],"overcome":[82],"limitations":[84],"global":[86],"approaches":[87],"by":[88,210],"performing":[89],"local":[90],"enhancement.":[92],"However,":[93],"this":[94,132],"relies":[96],"essential":[99],"hyperparameters:":[100],"number":[102],"tiles":[104],"clip":[107],"limit.":[108],"An":[109],"improper":[110],"hyperparameter":[111,137],"selection":[112,138],"may":[113],"heavily":[114],"decrease":[115],"quality":[118,158],"toward":[119],"degradation.":[121],"Considering":[122],"lack":[124],"methods":[126],"efficiently":[128],"determine":[129],"these":[130],"hyperparameters,":[131],"article":[133],"presents":[134],"learning-based":[136],"CLAHE":[142,192],"technique.":[143],"proposed":[145,188],"supervised":[146],"was":[148],"built":[149],"evaluated":[151],"using":[152],"distortions":[154],"from":[155],"well-known":[156],"assessment":[159],"datasets.":[160],"Also,":[161,203],"we":[162],"introduce":[163],"more":[165],"challenging":[166],"dataset":[167],"containing":[168],"over":[169],"6200":[170],"images":[171],"with":[172,194],"large":[174],"range":[175],"intensity":[179],"variations.":[180],"results":[182],"show":[183],"efficiency":[185],"approach":[189],"in":[190],"predicting":[191],"hyperparameters":[193],"up":[195],"0.014":[197],"RMSE":[198],"0.935":[200],"R2":[201],"values.":[202],"our":[204],"overcomes":[206],"both":[207],"experimented":[208],"baselines":[209],"keeping":[215],"natural":[217],"aspect.":[218]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":25},{"year":2022,"cited_by_count":29},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":2}],"updated_date":"2026-04-26T08:31:28.666265","created_date":"2019-06-07T00:00:00"}
