{"id":"https://openalex.org/W3139317862","doi":"https://doi.org/10.1145/3448748.3448775","title":"Research on Crisis Warning Model of Enterprise Finance Based on Deep Learning","display_name":"Research on Crisis Warning Model of Enterprise Finance Based on Deep Learning","publication_year":2021,"publication_date":"2021-01-22","ids":{"openalex":"https://openalex.org/W3139317862","doi":"https://doi.org/10.1145/3448748.3448775","mag":"3139317862"},"language":"en","primary_location":{"id":"doi:10.1145/3448748.3448775","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3448748.3448775","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 International Conference on Bioinformatics and Intelligent Computing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5035951166","display_name":"Yeming Chen","orcid":"https://orcid.org/0000-0002-5193-0385"},"institutions":[{"id":"https://openalex.org/I4210136246","display_name":"China Telecom (China)","ror":"https://ror.org/03jgnzt20","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210136246"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yeming Chen","raw_affiliation_strings":["ClarityAI, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ClarityAI, Beijing, China","institution_ids":["https://openalex.org/I4210136246"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049437742","display_name":"Xinyuan Han","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136246","display_name":"China Telecom (China)","ror":"https://ror.org/03jgnzt20","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210136246"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyuan Han","raw_affiliation_strings":["ClarityAI, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ClarityAI, Beijing, China","institution_ids":["https://openalex.org/I4210136246"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210136246"],"apc_list":null,"apc_paid":null,"fwci":2.0477,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.85064378,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"168","last_page":"172"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11653","display_name":"Financial Distress and Bankruptcy Prediction","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/1402","display_name":"Accounting"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11653","display_name":"Financial Distress and Bankruptcy Prediction","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/1402","display_name":"Accounting"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/warning-system","display_name":"Warning system","score":0.8349010944366455},{"id":"https://openalex.org/keywords/financial-crisis","display_name":"Financial crisis","score":0.6647164821624756},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6478576064109802},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5987805724143982},{"id":"https://openalex.org/keywords/early-warning-system","display_name":"Early warning system","score":0.5669384598731995},{"id":"https://openalex.org/keywords/china","display_name":"China","score":0.550197422504425},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5145596861839294},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46385785937309265},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.44428151845932007},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.33813926577568054},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.16400912404060364},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.13596391677856445}],"concepts":[{"id":"https://openalex.org/C29825287","wikidata":"https://www.wikidata.org/wiki/Q1427940","display_name":"Warning system","level":2,"score":0.8349010944366455},{"id":"https://openalex.org/C2778300220","wikidata":"https://www.wikidata.org/wiki/Q114380","display_name":"Financial crisis","level":2,"score":0.6647164821624756},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6478576064109802},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5987805724143982},{"id":"https://openalex.org/C2779296788","wikidata":"https://www.wikidata.org/wiki/Q5326904","display_name":"Early warning system","level":3,"score":0.5669384598731995},{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.550197422504425},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5145596861839294},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46385785937309265},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.44428151845932007},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.33813926577568054},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.16400912404060364},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.13596391677856445},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3448748.3448775","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3448748.3448775","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 International Conference on Bioinformatics and Intelligent Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W2945391834","https://openalex.org/W3084866769"],"related_works":["https://openalex.org/W2019221308","https://openalex.org/W2366686155","https://openalex.org/W2402451758","https://openalex.org/W1044530532","https://openalex.org/W2383173999","https://openalex.org/W3125817379","https://openalex.org/W2369926976","https://openalex.org/W2381743810","https://openalex.org/W2349162035","https://openalex.org/W2356567674"],"abstract_inverted_index":{"Looking":[0],"for":[1],"an":[2,57],"effective":[3],"financial":[4,29,36],"crisis":[5],"early":[6,37,58,70],"warning":[7,38,59,71],"method":[8],"is":[9],"of":[10,31,42,68],"great":[11],"significance":[12],"to":[13,55],"China's":[14],"economy":[15],"and":[16,33],"company":[17],"development.":[18],"This":[19,46],"paper":[20,47],"fully":[21],"considers":[22],"the":[23,28,65,69],"internal":[24],"factors":[25],"that":[26,64],"affect":[27],"situation":[30],"enterprises,":[32],"establishes":[34],"a":[35],"index":[39],"system":[40],"composed":[41],"eighteen":[43],"secondary":[44],"indicators.":[45],"uses":[48],"LSTM":[49],"neural":[50],"network":[51],"in":[52],"deep":[53,75],"learning":[54,76],"establish":[56],"model.":[60],"The":[61],"results":[62],"show":[63],"prediction":[66],"accuracy":[67],"model":[72],"based":[73],"on":[74],"can":[77],"reach":[78],"more":[79],"than":[80],"85%.":[81]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
