{"id":"https://openalex.org/W3021941048","doi":"https://doi.org/10.1109/tvcg.2020.3030418","title":"CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization","display_name":"CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization","publication_year":2020,"publication_date":"2020-10-13","ids":{"openalex":"https://openalex.org/W3021941048","doi":"https://doi.org/10.1109/tvcg.2020.3030418","mag":"3021941048","pmid":"https://pubmed.ncbi.nlm.nih.gov/33048723"},"language":"en","primary_location":{"id":"doi:10.1109/tvcg.2020.3030418","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2020.3030418","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"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 Visualization and Computer Graphics","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2004.15004","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100638703","display_name":"Zijie J. Wang","orcid":"https://orcid.org/0000-0003-4360-1423"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zijie J. Wang","raw_affiliation_strings":["Georgia Tech"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Tech","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009373644","display_name":"Robert Turko","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Robert Turko","raw_affiliation_strings":["Georgia Tech"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Tech","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044691513","display_name":"Omar Shaikh","orcid":"https://orcid.org/0000-0003-1393-8041"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Omar Shaikh","raw_affiliation_strings":["Georgia Tech"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Tech","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020702008","display_name":"Haekyu Park","orcid":"https://orcid.org/0000-0002-1868-1583"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haekyu Park","raw_affiliation_strings":["Georgia Tech"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Tech","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036502813","display_name":"Nilaksh Das","orcid":"https://orcid.org/0000-0002-5281-5549"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nilaksh Das","raw_affiliation_strings":["Georgia Tech"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Tech","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034842879","display_name":"Fred Hohman","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fred Hohman","raw_affiliation_strings":["Georgia Tech"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Tech","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042350842","display_name":"Minsuk Kahng","orcid":"https://orcid.org/0000-0002-0291-6026"},"institutions":[{"id":"https://openalex.org/I131249849","display_name":"Oregon State University","ror":"https://ror.org/00ysfqy60","country_code":"US","type":"education","lineage":["https://openalex.org/I131249849"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Minsuk Kahng","raw_affiliation_strings":["Oregon State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Oregon State University","institution_ids":["https://openalex.org/I131249849"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020153026","display_name":"Duen Horng Chau","orcid":"https://orcid.org/0000-0001-9824-3323"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Duen Horng Polo Chau","raw_affiliation_strings":["Georgia Tech"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Tech","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":15.2916,"has_fulltext":false,"cited_by_count":335,"citation_normalized_percentile":{"value":0.99527807,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"27","issue":"2","first_page":"1396","last_page":"1406"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9988999962806702,"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/T10799","display_name":"Data Visualization and Analytics","score":0.9988999962806702,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9969000220298767,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9886999726295471,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8545705080032349},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.783349871635437},{"id":"https://openalex.org/keywords/abstraction","display_name":"Abstraction","score":0.7436989545822144},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7346335649490356},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.6645368933677673},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5296159982681274},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.5280258059501648},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46368756890296936},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.40637990832328796},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.36468034982681274}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8545705080032349},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.783349871635437},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.7436989545822144},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7346335649490356},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.6645368933677673},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5296159982681274},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5280258059501648},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46368756890296936},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.40637990832328796},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.36468034982681274},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D003196","descriptor_name":"Computer Graphics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003196","descriptor_name":"Computer Graphics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003196","descriptor_name":"Computer Graphics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1109/tvcg.2020.3030418","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2020.3030418","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"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 Visualization and Computer Graphics","raw_type":"journal-article"},{"id":"pmid:33048723","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33048723","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 visualization and computer graphics","raw_type":null},{"id":"pmh:oai:arXiv.org:2004.15004","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2004.15004","pdf_url":"https://arxiv.org/pdf/2004.15004","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2004.15004","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2004.15004","pdf_url":"https://arxiv.org/pdf/2004.15004","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.7400000095367432}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":76,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1825675169","https://openalex.org/W1964791670","https://openalex.org/W1969893202","https://openalex.org/W1971094374","https://openalex.org/W1984964495","https://openalex.org/W2028868392","https://openalex.org/W2040441451","https://openalex.org/W2050648904","https://openalex.org/W2062756739","https://openalex.org/W2064675550","https://openalex.org/W2079939603","https://openalex.org/W2132241724","https://openalex.org/W2135415614","https://openalex.org/W2139279451","https://openalex.org/W2140503925","https://openalex.org/W2150930945","https://openalex.org/W2154627712","https://openalex.org/W2161560178","https://openalex.org/W2194775991","https://openalex.org/W2295883547","https://openalex.org/W2323909273","https://openalex.org/W2337655059","https://openalex.org/W2343061342","https://openalex.org/W2402144811","https://openalex.org/W2405000594","https://openalex.org/W2551176409","https://openalex.org/W2607223307","https://openalex.org/W2750068734","https://openalex.org/W2751298778","https://openalex.org/W2751746637","https://openalex.org/W2752194699","https://openalex.org/W2752332392","https://openalex.org/W2772689190","https://openalex.org/W2791826055","https://openalex.org/W2888723145","https://openalex.org/W2895658904","https://openalex.org/W2897083899","https://openalex.org/W2908701480","https://openalex.org/W2919115771","https://openalex.org/W2924992615","https://openalex.org/W2953384591","https://openalex.org/W2956950611","https://openalex.org/W2962949934","https://openalex.org/W2963214037","https://openalex.org/W2963403868","https://openalex.org/W2963571290","https://openalex.org/W2969224142","https://openalex.org/W2969980980","https://openalex.org/W2970971581","https://openalex.org/W3000650805","https://openalex.org/W3003704003","https://openalex.org/W3029455779","https://openalex.org/W3030508559","https://openalex.org/W3034490926","https://openalex.org/W3099524944","https://openalex.org/W3109369045","https://openalex.org/W3137695714","https://openalex.org/W4205542483","https://openalex.org/W4232169832","https://openalex.org/W4242382476","https://openalex.org/W4245927651","https://openalex.org/W4253267154","https://openalex.org/W4295312788","https://openalex.org/W4312060106","https://openalex.org/W4382566593","https://openalex.org/W4385245566","https://openalex.org/W6637373629","https://openalex.org/W6638389677","https://openalex.org/W6687483927","https://openalex.org/W6713134421","https://openalex.org/W6739901393","https://openalex.org/W6743573799","https://openalex.org/W6757483233","https://openalex.org/W6763485134","https://openalex.org/W6766978945"],"related_works":["https://openalex.org/W2068608913","https://openalex.org/W2045155990","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3167935049","https://openalex.org/W3103566983","https://openalex.org/W3029198973"],"abstract_inverted_index":{"Deep":[0],"learning's":[1],"great":[2],"success":[3],"motivates":[4],"many":[5],"practitioners":[6],"and":[7,33,50,81,99,133,155,158],"students":[8],"to":[9,22,28,48,125,160,196],"learn":[10,49],"about":[11,72],"this":[12],"exciting":[13],"technology.":[14],"However,":[15],"it":[16],"is":[17,156],"often":[18],"challenging":[19],"for":[20,46,186],"beginners":[21],"take":[23],"their":[24],"first":[25],"step":[26],"due":[27],"the":[29,109,127,150,184,192],"complexity":[30],"of":[31,112,119,153],"understanding":[32],"applying":[34],"deep":[35,58,198],"learning.":[36],"We":[37,162],"present":[38],"CNN":[39,87,143,175],"Explainer,":[40],"an":[41],"interactive":[42],"visualization":[43],"tool":[44,63,122],"designed":[45],"non-experts":[47],"examine":[51],"convolutional":[52],"neural":[53],"networks":[54],"(CNNs),":[55],"a":[56,82,91,96],"foundational":[57],"learning":[59,71,199],"model":[60,92,135],"architecture.":[61],"Our":[62],"addresses":[64],"key":[65],"challenges":[66],"that":[67,94,105,142],"novices":[68],"face":[69],"while":[70],"CNNs,":[73,154],"which":[74],"we":[75],"identify":[76],"from":[77,167],"interviews":[78],"with":[79,84],"instructors":[80],"survey":[83],"past":[85],"students.":[86],"Explainer":[88,144,176],"tightly":[89],"integrates":[90],"overview":[93],"summarizes":[95],"CNN's":[97],"structure,":[98],"on-demand,":[100],"dynamic":[101],"visual":[102],"explanation":[103],"views":[104],"help":[106],"users":[107,124,146],"understand":[108,149],"underlying":[110],"components":[111],"CNNs.":[113],"Through":[114],"smooth":[115],"transitions":[116],"across":[117],"levels":[118],"abstraction,":[120],"our":[121,168],"enables":[123],"inspect":[126],"interplay":[128],"between":[129],"low-level":[130],"mathematical":[131],"operations":[132],"high-level":[134],"structures.":[136],"A":[137],"qualitative":[138],"user":[139],"study":[140],"shows":[141],"helps":[145],"more":[147],"easily":[148],"inner":[151],"workings":[152],"engaging":[157],"enjoyable":[159],"use.":[161],"also":[163],"derive":[164],"design":[165],"lessons":[166],"study.":[169],"Developed":[170],"using":[171],"modern":[172,197],"web":[173,181],"technologies,":[174],"runs":[177],"locally":[178],"in":[179],"users'":[180],"browsers":[182],"without":[183],"need":[185],"installation":[187],"or":[188],"specialized":[189],"hardware,":[190],"broadening":[191],"public's":[193],"education":[194],"access":[195],"techniques.":[200]},"counts_by_year":[{"year":2026,"cited_by_count":26},{"year":2025,"cited_by_count":66},{"year":2024,"cited_by_count":84},{"year":2023,"cited_by_count":69},{"year":2022,"cited_by_count":43},{"year":2021,"cited_by_count":35},{"year":2020,"cited_by_count":12}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}