{"id":"https://openalex.org/W4379799444","doi":"https://doi.org/10.1080/08839514.2023.2222258","title":"Research on Financial Field Integrating Artificial Intelligence: Application Basis, Case Analysis, and SVR Model-Based Overnight","display_name":"Research on Financial Field Integrating Artificial Intelligence: Application Basis, Case Analysis, and SVR Model-Based Overnight","publication_year":2023,"publication_date":"2023-06-07","ids":{"openalex":"https://openalex.org/W4379799444","doi":"https://doi.org/10.1080/08839514.2023.2222258"},"language":"en","primary_location":{"id":"doi:10.1080/08839514.2023.2222258","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2023.2222258","pdf_url":null,"source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1080/08839514.2023.2222258","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062000915","display_name":"Xinzhu Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xinzhu Yan","raw_affiliation_strings":["Department of Economics, Northeastern University at Qinhuangdao, Qinhuangdao, Hebei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Economics, Northeastern University at Qinhuangdao, Qinhuangdao, Hebei, China","institution_ids":["https://openalex.org/I9224756"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5062000915"],"corresponding_institution_ids":["https://openalex.org/I9224756"],"apc_list":{"value":2195,"currency":"USD","value_usd":2195},"apc_paid":{"value":2195,"currency":"USD","value_usd":2195},"fwci":2.8887,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.90989363,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"37","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9916999936103821,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9916999936103821,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11653","display_name":"Financial Distress and Bankruptcy Prediction","score":0.9843999743461609,"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"}},{"id":"https://openalex.org/T10270","display_name":"Blockchain Technology Applications and Security","score":0.9711999893188477,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7621103525161743},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6529894471168518},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5931847095489502},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5904077291488647},{"id":"https://openalex.org/keywords/financial-services","display_name":"Financial services","score":0.5902183651924133},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5171441435813904},{"id":"https://openalex.org/keywords/financial-market","display_name":"Financial market","score":0.4475996494293213},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.3552854359149933},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.11675170063972473}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7621103525161743},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6529894471168518},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5931847095489502},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5904077291488647},{"id":"https://openalex.org/C139043278","wikidata":"https://www.wikidata.org/wiki/Q837171","display_name":"Financial services","level":2,"score":0.5902183651924133},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5171441435813904},{"id":"https://openalex.org/C19244329","wikidata":"https://www.wikidata.org/wiki/Q208697","display_name":"Financial market","level":2,"score":0.4475996494293213},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.3552854359149933},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.11675170063972473},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/08839514.2023.2222258","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2023.2222258","pdf_url":null,"source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:541a25a29f374fbc976e7455d6deb219","is_oa":true,"landing_page_url":"https://doaj.org/article/541a25a29f374fbc976e7455d6deb219","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":"Applied Artificial Intelligence, Vol 37, Iss 1 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1080/08839514.2023.2222258","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2023.2222258","pdf_url":null,"source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5099999904632568,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2125943170","https://openalex.org/W2490971013","https://openalex.org/W2510541067","https://openalex.org/W2743470191","https://openalex.org/W2767307339","https://openalex.org/W2791624324","https://openalex.org/W2938504806","https://openalex.org/W2992584342","https://openalex.org/W3036262830","https://openalex.org/W4224037372"],"related_works":["https://openalex.org/W2355927362","https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4224009465","https://openalex.org/W4286629047","https://openalex.org/W4306321456","https://openalex.org/W4285260836","https://openalex.org/W3195168932","https://openalex.org/W1996541855","https://openalex.org/W3008923035"],"abstract_inverted_index":{"The":[0,100],"integration":[1,141],"of":[2,48,61,124,142],"Artificial":[3],"Intelligence":[4],"(AI)":[5],"into":[6],"the":[7,23,43,51,58,64],"financial":[8,44,65,74],"industry":[9,159],"has":[10,28,95],"witnessed":[11],"significant":[12],"growth,":[13],"transitioning":[14],"from":[15],"an":[16,112],"academic":[17,162],"concept":[18],"to":[19,31,56,135],"widespread":[20],"adoption":[21],"in":[22,63,118],"industrial":[24],"sector.":[25],"This":[26],"trend":[27],"given":[29],"rise":[30],"various":[32],"AI":[33,62,86,143],"technologies,":[34],"presenting":[35],"both":[36,149],"novel":[37],"opportunities":[38],"and":[39,71,77,129,139,144,152,161],"potential":[40],"risks":[41],"within":[42],"landscape.":[45],"In":[46],"light":[47],"this":[49,82,132],"development,":[50],"present":[52],"research":[53],"article":[54,133],"aims":[55],"investigate":[57],"expanding":[59],"role":[60],"sector,":[66],"focusing":[67],"on":[68],"its":[69],"applications":[70],"impact":[72],"across":[73],"products,":[75],"channels,":[76],"service":[78],"methodologies.":[79],"To":[80],"accomplish":[81],"objective,":[83],"a":[84,122,137],"specific":[85],"algorithm":[87,102],"called":[88],"Support":[89],"Vector":[90],"Machine":[91],"for":[92,98,106,115,158],"Regression":[93],"(SVR)":[94],"been":[96],"selected":[97],"analysis.":[99],"SVR":[101],"is":[103],"particularly":[104],"well-suited":[105],"small":[107],"sample":[108],"learning,":[109],"making":[110],"it":[111,147],"appropriate":[113],"choice":[114],"examining":[116],"trends":[117],"Shibor.":[119],"By":[120],"employing":[121],"combination":[123],"theoretical":[125,150],"analysis,":[126],"case":[127],"studies,":[128],"risk":[130],"assessment,":[131],"contributes":[134],"fostering":[136],"profound":[138],"robust":[140],"finance.":[145],"Consequently,":[146],"delivers":[148],"insights":[151],"practical":[153],"significance,":[154],"offering":[155],"valuable":[156],"knowledge":[157],"practitioners":[160],"researchers":[163],"alike.":[164]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
