{"id":"https://openalex.org/W4366967092","doi":"https://doi.org/10.1109/access.2023.3269438","title":"A Big Data-Driven Financial Auditing Method Using Convolution Neural Network","display_name":"A Big Data-Driven Financial Auditing Method Using Convolution Neural Network","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4366967092","doi":"https://doi.org/10.1109/access.2023.3269438"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3269438","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3269438","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10107399.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10107399.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100418978","display_name":"Hao Zhao","orcid":"https://orcid.org/0000-0001-8135-0616"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hao Zhao","raw_affiliation_strings":["Chinese Academy of Fiscal Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Fiscal Sciences, Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":null,"display_name":"Yu Wang","orcid":"https://orcid.org/0000-0002-6310-4355"},"institutions":[{"id":"https://openalex.org/I14116566","display_name":"Wuhan Polytechnic University","ror":"https://ror.org/05w0e5j23","country_code":"CN","type":"education","lineage":["https://openalex.org/I14116566"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Wang","raw_affiliation_strings":["Office of Academic Research, Changjiang Polytechnic, Wuhan, China","Office of Academic Research, Changjiang polytechnic, WuHan, China"],"raw_orcid":"https://orcid.org/0000-0002-6310-4355","affiliations":[{"raw_affiliation_string":"Office of Academic Research, Changjiang Polytechnic, Wuhan, China","institution_ids":["https://openalex.org/I14116566"]},{"raw_affiliation_string":"Office of Academic Research, Changjiang polytechnic, WuHan, China","institution_ids":["https://openalex.org/I14116566"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.8583,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.85380429,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"11","issue":null,"first_page":"41492","last_page":"41502"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13918","display_name":"Advanced Data and IoT Technologies","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13918","display_name":"Advanced Data and IoT Technologies","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T14413","display_name":"Advanced Technologies in Various Fields","score":0.953499972820282,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.945900022983551,"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/audit","display_name":"Audit","score":0.8975133895874023},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.7678996920585632},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7674360275268555},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6595186591148376},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6370660662651062},{"id":"https://openalex.org/keywords/abstraction","display_name":"Abstraction","score":0.5448489189147949},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.507220983505249},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4978039264678955},{"id":"https://openalex.org/keywords/information-security-audit","display_name":"Information security audit","score":0.487371027469635},{"id":"https://openalex.org/keywords/accounting","display_name":"Accounting","score":0.442434161901474},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4407360553741455},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34630444645881653},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.16518306732177734},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.1163332462310791},{"id":"https://openalex.org/keywords/information-security","display_name":"Information security","score":0.08160269260406494}],"concepts":[{"id":"https://openalex.org/C199521495","wikidata":"https://www.wikidata.org/wiki/Q181487","display_name":"Audit","level":2,"score":0.8975133895874023},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.7678996920585632},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7674360275268555},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6595186591148376},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6370660662651062},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.5448489189147949},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.507220983505249},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4978039264678955},{"id":"https://openalex.org/C39358052","wikidata":"https://www.wikidata.org/wiki/Q2578632","display_name":"Information security audit","level":5,"score":0.487371027469635},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.442434161901474},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4407360553741455},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34630444645881653},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.16518306732177734},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.1163332462310791},{"id":"https://openalex.org/C527648132","wikidata":"https://www.wikidata.org/wiki/Q189900","display_name":"Information security","level":2,"score":0.08160269260406494},{"id":"https://openalex.org/C117110713","wikidata":"https://www.wikidata.org/wiki/Q3394676","display_name":"Network security policy","level":4,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C29983905","wikidata":"https://www.wikidata.org/wiki/Q7445066","display_name":"Security service","level":3,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3269438","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3269438","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10107399.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:cd164dab6db745f69e6ead11c776a6c8","is_oa":true,"landing_page_url":"https://doaj.org/article/cd164dab6db745f69e6ead11c776a6c8","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,"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":"IEEE Access, Vol 11, Pp 41492-41502 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3269438","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3269438","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10107399.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6000000238418579}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4366967092.pdf","grobid_xml":"https://content.openalex.org/works/W4366967092.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W2790666987","https://openalex.org/W2896628707","https://openalex.org/W2922396237","https://openalex.org/W2945775468","https://openalex.org/W3008172540","https://openalex.org/W3014819769","https://openalex.org/W3041382323","https://openalex.org/W3094823954","https://openalex.org/W3095147220","https://openalex.org/W3109422613","https://openalex.org/W3112092488","https://openalex.org/W3149037989","https://openalex.org/W3157005862","https://openalex.org/W3164058140","https://openalex.org/W3185248420","https://openalex.org/W3197126650","https://openalex.org/W4206815422","https://openalex.org/W4225758314","https://openalex.org/W4234444683","https://openalex.org/W4239890301","https://openalex.org/W4282597325","https://openalex.org/W4285240194","https://openalex.org/W4288059565","https://openalex.org/W4290715849","https://openalex.org/W4293731203","https://openalex.org/W4293731782","https://openalex.org/W4296849331","https://openalex.org/W4312890993","https://openalex.org/W4312959111","https://openalex.org/W4321792464","https://openalex.org/W6775691121"],"related_works":["https://openalex.org/W4321369474","https://openalex.org/W2731899572","https://openalex.org/W3133861977","https://openalex.org/W4200173597","https://openalex.org/W3116150086","https://openalex.org/W2999805992","https://openalex.org/W3014300295","https://openalex.org/W4291897433","https://openalex.org/W3011074480","https://openalex.org/W4312417841"],"abstract_inverted_index":{"In":[0],"the":[1,29,86,110,136,140,142],"big":[2,32,78],"data":[3,33],"era,":[4],"traditional":[5],"auditing":[6,38,81,114,131,145,150],"methods":[7],"are":[8,126],"facing":[9],"challenge":[10],"such":[11,102],"as":[12,103],"limited":[13],"audit":[14,19,23],"scope,":[15],"uneven":[16],"distribution":[17],"of":[18,31,89,92],"power,":[20],"and":[21,75],"insufficient":[22],"analysis.":[24],"To":[25],"pursue":[26],"high":[27,59,149],"efficiency,":[28],"utilization":[30],"analysis":[34],"technique":[35],"in":[36,44,53,100],"financial":[37,80,130,144],"has":[39,50],"been":[40,51],"a":[41,66,77],"novel":[42],"tendency":[43],"this":[45,63],"area.":[46],"The":[47],"deep":[48,68],"learning":[49,69],"popular":[52],"many":[54],"areas":[55],"due":[56],"to":[57,96],"its":[58],"freedom":[60],"degree.":[61],"Thus,":[62],"paper":[64],"employs":[65],"typical":[67],"model":[70],"convolution":[71],"neural":[72],"network":[73],"(CNN),":[74],"proposes":[76],"data-driven":[79],"method":[82,146],"using":[83],"CNN.":[84],"Specifically,":[85],"strong":[87],"ability":[88],"feature":[90],"abstraction":[91],"CNN":[93],"is":[94],"leveraged":[95],"extract":[97],"multi-level":[98],"features":[99,112],"materials,":[101],"visual":[104],"features,":[105,107],"textual":[106],"etc.":[108],"Then,":[109],"multi-source":[111],"from":[113],"materials":[115],"can":[116],"be":[117],"well":[118],"fused":[119],"for":[120,133],"final":[121],"discrimination.":[122],"Some":[123],"simulation":[124],"experiments":[125],"conducted":[127],"on":[128],"real-world":[129],"scenes":[132],"assessment.":[134],"And":[135],"results":[137],"show":[138],"that":[139],"designed":[141],"proposed":[143],"possesses":[147],"relatively":[148],"accuracy.":[151]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
