{"id":"https://openalex.org/W4304761908","doi":"https://doi.org/10.3390/diagnostics12102472","title":"Automatic Malignant and Benign Skin Cancer Classification Using a Hybrid Deep Learning Approach","display_name":"Automatic Malignant and Benign Skin Cancer Classification Using a Hybrid Deep Learning Approach","publication_year":2022,"publication_date":"2022-10-12","ids":{"openalex":"https://openalex.org/W4304761908","doi":"https://doi.org/10.3390/diagnostics12102472","pmid":"https://pubmed.ncbi.nlm.nih.gov/36292161"},"language":"en","primary_location":{"id":"doi:10.3390/diagnostics12102472","doi":"https://doi.org/10.3390/diagnostics12102472","is_oa":true,"landing_page_url":"https://doi.org/10.3390/diagnostics12102472","pdf_url":"https://www.mdpi.com/2075-4418/12/10/2472/pdf?version=1666165065","source":{"id":"https://openalex.org/S4210172076","display_name":"Diagnostics","issn_l":"2075-4418","issn":["2075-4418"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","norway-1","poland-70","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Diagnostics","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2075-4418/12/10/2472/pdf?version=1666165065","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064307543","display_name":"Atheer Bassel","orcid":"https://orcid.org/0009-0000-1962-118X","observed_orcids":["https://orcid.org/0009-0000-1962-118X","https://orcid.org/0000-0002-7627-5145"]},"institutions":[{"id":"https://openalex.org/I27768575","display_name":"University of Anbar","ror":"https://ror.org/055a6gk50","country_code":"IQ","type":"education","lineage":["https://openalex.org/I27768575"]}],"countries":["IQ"],"is_corresponding":false,"raw_author_name":"Atheer Bassel","raw_affiliation_strings":["Computer Center, University of Anbar, Al-Anbar 31001, Iraq"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Center, University of Anbar, Al-Anbar 31001, Iraq","institution_ids":["https://openalex.org/I27768575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061920253","display_name":"Amjed Basil Abdulkareem","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I885383172","display_name":"National University of Malaysia","ror":"https://ror.org/00bw8d226","country_code":"MY","type":"education","lineage":["https://openalex.org/I885383172"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Amjed Basil Abdulkareem","raw_affiliation_strings":["Center for Artifical Intelligence Technology, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor Darul Ehsan, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Artifical Intelligence Technology, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor Darul Ehsan, Malaysia","institution_ids":["https://openalex.org/I885383172"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062826520","display_name":"Zaid Abdi Alkareem Alyasseri","orcid":"https://orcid.org/0000-0003-4228-9298","observed_orcids":["https://orcid.org/0000-0003-4228-9298"]},"institutions":[{"id":"https://openalex.org/I4392021143","display_name":"University of Warith Al-Anbiyaa","ror":"https://ror.org/03ase0085","country_code":null,"type":"education","lineage":["https://openalex.org/I4392021143"]},{"id":"https://openalex.org/I47229656","display_name":"University of Kufa","ror":"https://ror.org/02dwrdh81","country_code":"IQ","type":"education","lineage":["https://openalex.org/I47229656"]}],"countries":["IQ"],"is_corresponding":true,"raw_author_name":"Zaid Abdi Alkareem Alyasseri","raw_affiliation_strings":["College of Engineering, University of Warith Al-Anbiyaa, Karbala 63514, Iraq","ECE Dept., Faculty of Engineering, University of Kufa, Najaf 54001, Iraq","Information Technology Research and Development Centre, University of Kufa, Najaf 54001, Iraq"],"raw_orcid":"https://orcid.org/0000-0003-4228-9298","affiliations":[{"raw_affiliation_string":"College of Engineering, University of Warith Al-Anbiyaa, Karbala 63514, Iraq","institution_ids":["https://openalex.org/I4392021143"]},{"raw_affiliation_string":"ECE Dept., Faculty of Engineering, University of Kufa, Najaf 54001, Iraq","institution_ids":["https://openalex.org/I47229656"]},{"raw_affiliation_string":"Information Technology Research and Development Centre, University of Kufa, Najaf 54001, Iraq","institution_ids":["https://openalex.org/I47229656"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080382393","display_name":"Nor Samsiah Sani","orcid":"https://orcid.org/0000-0001-5802-5946","observed_orcids":["https://orcid.org/0000-0001-5802-5946"]},"institutions":[{"id":"https://openalex.org/I885383172","display_name":"National University of Malaysia","ror":"https://ror.org/00bw8d226","country_code":"MY","type":"education","lineage":["https://openalex.org/I885383172"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"Nor Samsiah Sani","raw_affiliation_strings":["Center for Artifical Intelligence Technology, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor Darul Ehsan, Malaysia"],"raw_orcid":"https://orcid.org/0000-0001-5802-5946","affiliations":[{"raw_affiliation_string":"Center for Artifical Intelligence Technology, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor Darul Ehsan, Malaysia","institution_ids":["https://openalex.org/I885383172"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017572786","display_name":"Husam Jasim Mohammed","orcid":"https://orcid.org/0000-0003-3521-0465","observed_orcids":["https://orcid.org/0000-0003-3521-0465"]},"institutions":[{"id":"https://openalex.org/I4401041618","display_name":"Imam Ja\u2019afar Al-Sadiq University","ror":"https://ror.org/02477a553","country_code":null,"type":"education","lineage":["https://openalex.org/I4401041618"]}],"countries":["IQ"],"is_corresponding":false,"raw_author_name":"Husam Jasim Mohammed","raw_affiliation_strings":["Department of Business Administration, College of Administration and Financial Sciences, Imam Ja\u2019afar Al-Sadiq University, Baghdad 10001, Iraq","Department of Business Administration, College of Administration and Financial Sciences, Imam Ja'afar Al-Sadiq University, Baghdad 10001, Iraq"],"raw_orcid":"https://orcid.org/0000-0003-3521-0465","affiliations":[{"raw_affiliation_string":"Department of Business Administration, College of Administration and Financial Sciences, Imam Ja\u2019afar Al-Sadiq University, Baghdad 10001, Iraq","institution_ids":["https://openalex.org/I4401041618"]},{"raw_affiliation_string":"Department of Business Administration, College of Administration and Financial Sciences, Imam Ja'afar Al-Sadiq University, Baghdad 10001, Iraq","institution_ids":["https://openalex.org/I4401041618"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5062826520","https://openalex.org/A5080382393"],"corresponding_institution_ids":["https://openalex.org/I4392021143","https://openalex.org/I47229656","https://openalex.org/I885383172"],"apc_list":{"value":1800,"currency":"CHF","value_usd":1885},"apc_paid":{"value":1800,"currency":"CHF","value_usd":1885},"fwci":12.3716,"has_fulltext":true,"cited_by_count":160,"citation_normalized_percentile":{"value":0.9922381,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"12","issue":"10","first_page":"2472","last_page":"2472"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10392","display_name":"Cutaneous Melanoma Detection and Management","score":0.9556000232696533,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10392","display_name":"Cutaneous Melanoma Detection and Management","score":0.9556000232696533,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/T10862","display_name":"AI in cancer detection","score":0.042100001126527786,"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"}},{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/skin-cancer-classification","display_name":"skin cancer classification","score":0.9950000047683716},{"id":"https://openalex.org/keywords/melanoma","display_name":"melanoma","score":0.9810000061988831},{"id":"https://openalex.org/keywords/benign-skin-lesions","display_name":"benign skin lesions","score":0.8259999752044678},{"id":"https://openalex.org/keywords/stacked-classifier","display_name":"stacked classifier","score":0.5339999794960022},{"id":"https://openalex.org/keywords/xception","display_name":"Xception","score":0.6660000085830688},{"id":"https://openalex.org/keywords/resnet-50","display_name":"ResNet50","score":0.9869999885559082},{"id":"https://openalex.org/keywords/vgg16","display_name":"VGG16","score":0.9990000128746033},{"id":"https://openalex.org/keywords/transfer-learning","display_name":"transfer learning","score":0.7160000205039978},{"id":"https://openalex.org/keywords/dermatological-image-analysis","display_name":"dermatological image analysis","score":0.5389999747276306},{"id":"https://openalex.org/keywords/computer-aided-diagnosis","display_name":"computer-aided diagnosis","score":0.7179999947547913}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8109182715415955},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7368631362915039},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6497711539268494},{"id":"https://openalex.org/C2777789703","wikidata":"https://www.wikidata.org/wiki/Q192102","display_name":"Skin cancer","level":3,"score":0.6305273771286011},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5730279684066772},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5603029131889343},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5552814602851868},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5488295555114746},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.46771401166915894},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3918269872665405},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.26967182755470276},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/diagnostics12102472","doi":"https://doi.org/10.3390/diagnostics12102472","is_oa":true,"landing_page_url":"https://doi.org/10.3390/diagnostics12102472","pdf_url":"https://www.mdpi.com/2075-4418/12/10/2472/pdf?version=1666165065","source":{"id":"https://openalex.org/S4210172076","display_name":"Diagnostics","issn_l":"2075-4418","issn":["2075-4418"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","norway-1","poland-70","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Diagnostics","raw_type":"journal-article"},{"id":"pmid:36292161","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36292161","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,"listed_in":[],"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":"Diagnostics (Basel, Switzerland)","raw_type":"Journal Article"},{"id":"pmh:oai:pubmedcentral.nih.gov:9600556","doi":null,"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9600556","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Diagnostics (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:2f29a2eb241c4cf39b1b88d12ee62aca","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/2f29a2eb241c4cf39b1b88d12ee62aca","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Diagnostics, Vol 12, Iss 10, p 2472 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/diagnostics12102472","doi":"https://doi.org/10.3390/diagnostics12102472","is_oa":true,"landing_page_url":"https://doi.org/10.3390/diagnostics12102472","pdf_url":"https://www.mdpi.com/2075-4418/12/10/2472/pdf?version=1666165065","source":{"id":"https://openalex.org/S4210172076","display_name":"Diagnostics","issn_l":"2075-4418","issn":["2075-4418"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","norway-1","poland-70","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Diagnostics","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.9537000060081482}],"sustainable_development_goals_aurora":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.49000000953674316}],"study_designs":[],"awards":[{"id":"https://openalex.org/G2228190847","display_name":null,"funder_award_id":"GUP2019-060","funder_id":"https://openalex.org/F4320322699","funder_display_name":"Universiti Kebangsaan Malaysia"},{"id":"https://openalex.org/G5433841521","display_name":null,"funder_award_id":"12678","funder_id":"https://openalex.org/F4320322699","funder_display_name":"Universiti Kebangsaan Malaysia"}],"funders":[{"id":"https://openalex.org/F4320322699","display_name":"Universiti Kebangsaan Malaysia","ror":"https://ror.org/00bw8d226"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4304761908.pdf","grobid_xml":"https://content.openalex.org/works/W4304761908.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W1589623824","https://openalex.org/W2402144811","https://openalex.org/W2618664557","https://openalex.org/W2744658455","https://openalex.org/W2762892951","https://openalex.org/W2788686457","https://openalex.org/W2890855883","https://openalex.org/W2897782613","https://openalex.org/W2940790545","https://openalex.org/W2946260418","https://openalex.org/W2946796433","https://openalex.org/W2947551377","https://openalex.org/W2953793731","https://openalex.org/W2955308063","https://openalex.org/W2964435996","https://openalex.org/W2969790209","https://openalex.org/W2981227223","https://openalex.org/W2982535616","https://openalex.org/W2995580285","https://openalex.org/W2996717109","https://openalex.org/W3010980797","https://openalex.org/W3012470135","https://openalex.org/W3013609148","https://openalex.org/W3014419815","https://openalex.org/W3014613513","https://openalex.org/W3016475067","https://openalex.org/W3022989514","https://openalex.org/W3028742747","https://openalex.org/W3030685106","https://openalex.org/W3032835183","https://openalex.org/W3036365526","https://openalex.org/W3036807506","https://openalex.org/W3046939034","https://openalex.org/W3047071655","https://openalex.org/W3149267786","https://openalex.org/W3154941836","https://openalex.org/W3176474152","https://openalex.org/W3209347059","https://openalex.org/W3217554772","https://openalex.org/W6781502564"],"related_works":["https://openalex.org/W3193043704","https://openalex.org/W4386259002","https://openalex.org/W1546989560","https://openalex.org/W3171520305","https://openalex.org/W3108298832","https://openalex.org/W3135126032","https://openalex.org/W4396689146","https://openalex.org/W4200112873","https://openalex.org/W2955796858","https://openalex.org/W2004826645"],"abstract_inverted_index":{"Skin":[0,27],"cancer":[1,9,21,28,47,122,275],"is":[2,29,60,79],"one":[3],"of":[4,8,19,71,88,98,135,143,160,175,239,259],"the":[5,54,69,80,133,141,158,176,188,205,210,215,260],"major":[6],"types":[7,33],"with":[10,137,153,157,263],"an":[11],"increasing":[12],"incidence":[13],"in":[14,23,219],"recent":[15],"decades.":[16],"The":[17,42,74,92,149,164,181,194,233,255],"source":[18],"skin":[20,46,72,90,121,147,155,274],"arises":[22],"various":[24,32,62,93],"dermatologic":[25],"disorders.":[26],"classified":[30],"into":[31],"based":[34,64,131],"on":[35,65,132],"texture,":[36],"color,":[37],"morphological":[38],"features,":[39],"and":[40,51,82,95,112,119,145,162,166,172,191,199,229,245,251,257,272],"structure.":[41],"conventional":[43],"approach":[44,78,84],"for":[45,53,68,85,117,204,236],"identification":[48],"needs":[49],"time":[50],"money":[52],"predicted":[55],"results.":[56],"Currently,":[57],"medical":[58],"science":[59],"utilizing":[61],"tools":[63],"digital":[66],"technology":[67],"classification":[70,77,142,276],"cancer.":[73,91],"machine":[75,104],"learning-based":[76],"robust":[81,273],"dominant":[83],"automatic":[86],"methods":[87,97],"classifying":[89],"existing":[94],"proposed":[96,130,211,234,261],"deep":[99,223],"neural":[100,106],"network,":[101],"support":[102],"vector":[103],"(SVM),":[105],"network":[107],"(NN),":[108],"random":[109],"forest":[110],"(RF),":[111],"K-nearest":[113],"neighbor":[114],"are":[115],"used":[116,203],"malignant":[118],"benign":[120,146],"identification.":[123],"In":[124,209],"this":[125],"study,":[126],"a":[127,264,270],"method":[128,235,262],"was":[129,151,185,217,246],"stacking":[134],"classifiers":[136],"three":[138,220],"folds":[139],"towards":[140],"melanoma":[144,161],"cancers.":[148],"system":[150,216],"trained":[152,218],"1000":[154],"images":[156],"categories":[159],"benign.":[163],"training":[165,266],"testing":[167],"were":[168,202],"performed":[169],"using":[170,187],"70":[171],"30":[173],"percent":[174],"overall":[177,206],"data":[178],"set,":[179],"respectively.":[180],"primary":[182],"feature":[183,240],"extraction":[184,241],"conducted":[186],"Resnet50,":[189],"Xception,":[190],"VGG16":[192],"methods.":[193,232,254],"accuracy,":[195],"F1":[196],"scores,":[197],"AUC,":[198],"sensitivity":[200],"metrics":[201],"performance":[207],"evaluation.":[208],"Stacked":[212],"CV":[213],"method,":[214],"levels":[221],"by":[222],"learning,":[224],"SVM,":[225],"RF,":[226],"NN,":[227],"KNN,":[228],"logistic":[230],"regression":[231],"Xception":[237],"techniques":[238],"achieved":[242],"90.9%":[243],"accuracy":[244],"stronger":[247],"compared":[248],"to":[249],"ResNet50":[250],"VGG":[252],"16":[253],"improvement":[256],"optimization":[258],"large":[265],"dataset":[267],"could":[268],"provide":[269],"reliable":[271],"system.":[277]},"counts_by_year":[{"year":2026,"cited_by_count":23},{"year":2025,"cited_by_count":58},{"year":2024,"cited_by_count":45},{"year":2023,"cited_by_count":29},{"year":2022,"cited_by_count":5}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2025-10-10T00:00:00"}