{"id":"https://openalex.org/W4319785916","doi":"https://doi.org/10.1080/08874417.2023.2173330","title":"Blockchain and Deep Learning Integration for Various Application: A Review","display_name":"Blockchain and Deep Learning Integration for Various Application: A Review","publication_year":2023,"publication_date":"2023-02-08","ids":{"openalex":"https://openalex.org/W4319785916","doi":"https://doi.org/10.1080/08874417.2023.2173330"},"language":"en","primary_location":{"id":"doi:10.1080/08874417.2023.2173330","is_oa":false,"landing_page_url":"https://doi.org/10.1080/08874417.2023.2173330","pdf_url":null,"source":{"id":"https://openalex.org/S83133229","display_name":"Journal of Computer Information Systems","issn_l":"0887-4417","issn":["0887-4417","2380-2057"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computer Information Systems","raw_type":"journal-article"},"type":"review","indexed_in":["crossref"],"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/A5042784316","display_name":"Yasir Afaq","orcid":"https://orcid.org/0000-0001-6323-2683"},"institutions":[{"id":"https://openalex.org/I110360157","display_name":"Lovely Professional University","ror":"https://ror.org/00et6q107","country_code":"IN","type":"education","lineage":["https://openalex.org/I110360157"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Yasir Afaq","raw_affiliation_strings":["Lovely Professional University, Phagwara, India"],"affiliations":[{"raw_affiliation_string":"Lovely Professional University, Phagwara, India","institution_ids":["https://openalex.org/I110360157"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035829078","display_name":"Ankush Manocha","orcid":"https://orcid.org/0000-0001-5054-1655"},"institutions":[{"id":"https://openalex.org/I110360157","display_name":"Lovely Professional University","ror":"https://ror.org/00et6q107","country_code":"IN","type":"education","lineage":["https://openalex.org/I110360157"]},{"id":"https://openalex.org/I105094715","display_name":"National Institute of Technology Kurukshetra","ror":"https://ror.org/04909p852","country_code":"IN","type":"education","lineage":["https://openalex.org/I105094715"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ankush Manocha","raw_affiliation_strings":["Lovely Professional University, Phagwara, India","National Institute of Technology, Kurukshetra, India"],"affiliations":[{"raw_affiliation_string":"Lovely Professional University, Phagwara, India","institution_ids":["https://openalex.org/I110360157"]},{"raw_affiliation_string":"National Institute of Technology, Kurukshetra, India","institution_ids":["https://openalex.org/I105094715"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5042784316"],"corresponding_institution_ids":["https://openalex.org/I110360157"],"apc_list":null,"apc_paid":null,"fwci":9.1892,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.97842158,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"64","issue":"1","first_page":"92","last_page":"105"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10270","display_name":"Blockchain Technology Applications and Security","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10270","display_name":"Blockchain Technology Applications and Security","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9793999791145325,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9570000171661377,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/deep-learning","display_name":"Deep learning","score":0.8854337930679321},{"id":"https://openalex.org/keywords/blockchain","display_name":"Blockchain","score":0.8432840704917908},{"id":"https://openalex.org/keywords/traceability","display_name":"Traceability","score":0.7435019016265869},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7308980226516724},{"id":"https://openalex.org/keywords/transparency","display_name":"Transparency (behavior)","score":0.6384128928184509},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5781530141830444},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5257088541984558},{"id":"https://openalex.org/keywords/deep-integration","display_name":"Deep integration","score":0.4444011151790619},{"id":"https://openalex.org/keywords/trustworthiness","display_name":"Trustworthiness","score":0.42056310176849365},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.19007059931755066},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.18375664949417114},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.08019247651100159}],"concepts":[{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.8854337930679321},{"id":"https://openalex.org/C2779687700","wikidata":"https://www.wikidata.org/wiki/Q20514253","display_name":"Blockchain","level":2,"score":0.8432840704917908},{"id":"https://openalex.org/C153876917","wikidata":"https://www.wikidata.org/wiki/Q899704","display_name":"Traceability","level":2,"score":0.7435019016265869},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7308980226516724},{"id":"https://openalex.org/C2780233690","wikidata":"https://www.wikidata.org/wiki/Q535347","display_name":"Transparency (behavior)","level":2,"score":0.6384128928184509},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5781530141830444},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5257088541984558},{"id":"https://openalex.org/C2777826224","wikidata":"https://www.wikidata.org/wiki/Q5250404","display_name":"Deep integration","level":2,"score":0.4444011151790619},{"id":"https://openalex.org/C153701036","wikidata":"https://www.wikidata.org/wiki/Q659974","display_name":"Trustworthiness","level":2,"score":0.42056310176849365},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.19007059931755066},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.18375664949417114},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.08019247651100159},{"id":"https://openalex.org/C155202549","wikidata":"https://www.wikidata.org/wiki/Q178803","display_name":"International trade","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/08874417.2023.2173330","is_oa":false,"landing_page_url":"https://doi.org/10.1080/08874417.2023.2173330","pdf_url":null,"source":{"id":"https://openalex.org/S83133229","display_name":"Journal of Computer Information Systems","issn_l":"0887-4417","issn":["0887-4417","2380-2057"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computer Information Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":102,"referenced_works":["https://openalex.org/W2091748355","https://openalex.org/W2165440220","https://openalex.org/W2517744317","https://openalex.org/W2732937366","https://openalex.org/W2753415590","https://openalex.org/W2758225150","https://openalex.org/W2767307339","https://openalex.org/W2785458774","https://openalex.org/W2791934992","https://openalex.org/W2810807736","https://openalex.org/W2894710278","https://openalex.org/W2914735843","https://openalex.org/W2926987861","https://openalex.org/W2929803724","https://openalex.org/W2940576714","https://openalex.org/W2942231644","https://openalex.org/W2946466583","https://openalex.org/W2946753740","https://openalex.org/W2949706183","https://openalex.org/W2951832089","https://openalex.org/W2954103930","https://openalex.org/W2958089299","https://openalex.org/W2964167690","https://openalex.org/W2964242684","https://openalex.org/W2964255840","https://openalex.org/W2964548108","https://openalex.org/W2970983646","https://openalex.org/W2980967476","https://openalex.org/W2983640973","https://openalex.org/W2990261903","https://openalex.org/W2995871203","https://openalex.org/W2996834926","https://openalex.org/W2998340595","https://openalex.org/W3000776319","https://openalex.org/W3004579115","https://openalex.org/W3005644063","https://openalex.org/W3006655855","https://openalex.org/W3007474076","https://openalex.org/W3010852232","https://openalex.org/W3013056994","https://openalex.org/W3014517104","https://openalex.org/W3017682633","https://openalex.org/W3033731742","https://openalex.org/W3041708388","https://openalex.org/W3083578853","https://openalex.org/W3087312226","https://openalex.org/W3088400155","https://openalex.org/W3089168916","https://openalex.org/W3093001586","https://openalex.org/W3098532907","https://openalex.org/W3099043609","https://openalex.org/W3101220048","https://openalex.org/W3101242696","https://openalex.org/W3106680025","https://openalex.org/W3107284796","https://openalex.org/W3112885687","https://openalex.org/W3113052065","https://openalex.org/W3113916672","https://openalex.org/W3120131065","https://openalex.org/W3127977826","https://openalex.org/W3132616177","https://openalex.org/W3135028703","https://openalex.org/W3140854437","https://openalex.org/W3143466921","https://openalex.org/W3156000284","https://openalex.org/W3157390437","https://openalex.org/W3157928789","https://openalex.org/W3160575055","https://openalex.org/W3162867184","https://openalex.org/W3163893137","https://openalex.org/W3175873752","https://openalex.org/W3176503640","https://openalex.org/W3183160983","https://openalex.org/W3183211247","https://openalex.org/W3189163924","https://openalex.org/W3195439912","https://openalex.org/W3196498627","https://openalex.org/W3196686953","https://openalex.org/W3202284552","https://openalex.org/W3202810279","https://openalex.org/W3208066391","https://openalex.org/W3214364627","https://openalex.org/W3215445770","https://openalex.org/W4200390322","https://openalex.org/W4200514525","https://openalex.org/W4200536893","https://openalex.org/W4200575065","https://openalex.org/W4205872744","https://openalex.org/W4205944484","https://openalex.org/W4206961924","https://openalex.org/W4211066400","https://openalex.org/W4231878200","https://openalex.org/W4232156524","https://openalex.org/W4281753518","https://openalex.org/W4285734028","https://openalex.org/W4285818425","https://openalex.org/W4290047857","https://openalex.org/W4296350429","https://openalex.org/W4303627745","https://openalex.org/W4306631501","https://openalex.org/W4307947751","https://openalex.org/W4312650807"],"related_works":["https://openalex.org/W4210406818","https://openalex.org/W4306779889","https://openalex.org/W4386732777","https://openalex.org/W3211706803","https://openalex.org/W4382775358","https://openalex.org/W4246942721","https://openalex.org/W3209862047","https://openalex.org/W4304136894","https://openalex.org/W4378212253","https://openalex.org/W2492278949"],"abstract_inverted_index":{"ABSTRACTRecently,":[0],"deep":[1,42,52,100,104,123],"learning":[2,43,53,101,105,124],"and":[3,19,31,102,112,119],"blockchain":[4,56],"technologies":[5,68],"have":[6,115],"gained":[7],"successful":[8],"attention":[9],"due":[10],"to":[11,69,126],"the":[12,36,48,60,71,77,85,95,117,143],"high":[13],"potential":[14,136],"of":[15,39,50,99,110,121,138],"generating":[16],"accurate":[17],"decisions":[18],"data":[20,24],"security,":[21],"respectively.":[22],"The":[23],"provenances":[25],"characteristics":[26],"such":[27],"as":[28],"transparency,":[29],"traceability,":[30],"trustworthiness":[32],"are":[33],"provided":[34],"by":[35,142],"vast":[37],"majority":[38],"centralized":[40],"server-based":[41],"approaches.":[44],"This":[45],"article":[46,86],"examines":[47],"advantages":[49,118],"combining":[51,65],"algorithms":[54],"with":[55],"technology.":[57],"In":[58,82],"addition,":[59],"most":[61,78],"effective":[62],"strategy":[63],"for":[64],"these":[66],"two":[67],"achieve":[70],"best":[72],"result":[73],"is":[74,87],"identified":[75],"through":[76],"recent":[79],"state-of-the-art":[80],"literature.":[81],"this":[83],"manner,":[84],"divided":[88],"into":[89],"seven":[90],"thematic":[91],"taxonomies":[92],"based":[93],"on":[94],"literature":[96],"review:":[97],"applications":[98],"blockchain,":[103,111],"techniques,":[106],"protocols,":[107],"domains,":[108],"types":[109],"datasets.":[113],"We":[114],"outlined":[116],"disadvantages":[120],"blockchain-based":[122],"frameworks":[125],"facilitate":[127],"insightful":[128],"discussions.KEYWORDS:":[129],"Deep":[130],"learningblockchainconsensus":[131],"protocolmachine":[132],"learningsecurity":[133],"Disclosure":[134],"statementNo":[135],"conflict":[137],"interest":[139],"was":[140],"reported":[141],"author(s).":[144]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
