{"id":"https://openalex.org/W3121456242","doi":"https://doi.org/10.1109/access.2021.3052054","title":"Bond Default Prediction Based on Deep Learning and Knowledge Graph Technology","display_name":"Bond Default Prediction Based on Deep Learning and Knowledge Graph Technology","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3121456242","doi":"https://doi.org/10.1109/access.2021.3052054","mag":"3121456242"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3052054","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3052054","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09326405.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/ielx7/6287639/9312710/09326405.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101860116","display_name":"Chi Ma","orcid":"https://orcid.org/0000-0003-1660-4258"},"institutions":[{"id":"https://openalex.org/I93477617","display_name":"Huizhou University","ror":"https://ror.org/03q3s7962","country_code":"CN","type":"education","lineage":["https://openalex.org/I93477617"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ma Chi","raw_affiliation_strings":["School of Computer Science and Engineering, Huizhou University, Huizhou, China"],"raw_orcid":"https://orcid.org/0000-0003-1660-4258","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Huizhou University, Huizhou, China","institution_ids":["https://openalex.org/I93477617"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067713571","display_name":"Sun Hongyan","orcid":"https://orcid.org/0000-0003-0381-4942"},"institutions":[{"id":"https://openalex.org/I114117164","display_name":"University of Science and Technology Liaoning","ror":"https://ror.org/03grx7119","country_code":"CN","type":"education","lineage":["https://openalex.org/I114117164"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sun Hongyan","raw_affiliation_strings":["School of Computer Science and Software Engineering, University of Science and Technology Liaoning, Anshan, China"],"raw_orcid":"https://orcid.org/0000-0003-0381-4942","affiliations":[{"raw_affiliation_string":"School of Computer Science and Software Engineering, University of Science and Technology Liaoning, Anshan, China","institution_ids":["https://openalex.org/I114117164"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102836958","display_name":"Wang Shaofan","orcid":"https://orcid.org/0000-0002-3549-6793"},"institutions":[{"id":"https://openalex.org/I114117164","display_name":"University of Science and Technology Liaoning","ror":"https://ror.org/03grx7119","country_code":"CN","type":"education","lineage":["https://openalex.org/I114117164"]},{"id":"https://openalex.org/I93477617","display_name":"Huizhou University","ror":"https://ror.org/03q3s7962","country_code":"CN","type":"education","lineage":["https://openalex.org/I93477617"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wang Shaofan","raw_affiliation_strings":["School of Computer Science and Engineering, Huizhou University, Huizhou, China","School of Computer Science and Software Engineering, University of Science and Technology Liaoning, Anshan, China"],"raw_orcid":"https://orcid.org/0000-0002-3549-6793","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Huizhou University, Huizhou, China","institution_ids":["https://openalex.org/I93477617"]},{"raw_affiliation_string":"School of Computer Science and Software Engineering, University of Science and Technology Liaoning, Anshan, China","institution_ids":["https://openalex.org/I114117164"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062064067","display_name":"Shengliang Lu","orcid":"https://orcid.org/0000-0003-3447-7299"},"institutions":[{"id":"https://openalex.org/I114117164","display_name":"University of Science and Technology Liaoning","ror":"https://ror.org/03grx7119","country_code":"CN","type":"education","lineage":["https://openalex.org/I114117164"]},{"id":"https://openalex.org/I93477617","display_name":"Huizhou University","ror":"https://ror.org/03q3s7962","country_code":"CN","type":"education","lineage":["https://openalex.org/I93477617"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Shengliang","raw_affiliation_strings":["School of Computer Science and Engineering, Huizhou University, Huizhou, China","School of Computer Science and Software Engineering, University of Science and Technology Liaoning, Anshan, China"],"raw_orcid":"https://orcid.org/0000-0003-3447-7299","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Huizhou University, Huizhou, China","institution_ids":["https://openalex.org/I93477617"]},{"raw_affiliation_string":"School of Computer Science and Software Engineering, University of Science and Technology Liaoning, Anshan, China","institution_ids":["https://openalex.org/I114117164"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100677451","display_name":"Jingyan Li","orcid":"https://orcid.org/0000-0002-2705-5015"},"institutions":[{"id":"https://openalex.org/I93477617","display_name":"Huizhou University","ror":"https://ror.org/03q3s7962","country_code":"CN","type":"education","lineage":["https://openalex.org/I93477617"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Jingyan","raw_affiliation_strings":["School of Computer Science and Engineering, Huizhou University, Huizhou, China"],"raw_orcid":"https://orcid.org/0000-0002-2705-5015","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Huizhou University, Huizhou, China","institution_ids":["https://openalex.org/I93477617"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101860116"],"corresponding_institution_ids":["https://openalex.org/I93477617"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.8866,"has_fulltext":true,"cited_by_count":18,"citation_normalized_percentile":{"value":0.92984892,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"9","issue":null,"first_page":"12750","last_page":"12761"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11653","display_name":"Financial Distress and Bankruptcy Prediction","score":0.9919000267982483,"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":0.9919000267982483,"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/T11496","display_name":"Credit Risk and Financial Regulations","score":0.9800000190734863,"subfield":{"id":"https://openalex.org/subfields/2003","display_name":"Finance"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9750000238418579,"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/bond","display_name":"Bond","score":0.7430052161216736},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7067469358444214},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6038339734077454},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5845917463302612},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5698199272155762},{"id":"https://openalex.org/keywords/default","display_name":"Default","score":0.5360074043273926},{"id":"https://openalex.org/keywords/bond-graph","display_name":"Bond graph","score":0.454522043466568},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4164593815803528},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.28207409381866455},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.20045310258865356},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.17285388708114624},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08523362874984741}],"concepts":[{"id":"https://openalex.org/C69738904","wikidata":"https://www.wikidata.org/wiki/Q11693","display_name":"Bond","level":2,"score":0.7430052161216736},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7067469358444214},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6038339734077454},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5845917463302612},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5698199272155762},{"id":"https://openalex.org/C69637215","wikidata":"https://www.wikidata.org/wiki/Q702362","display_name":"Default","level":2,"score":0.5360074043273926},{"id":"https://openalex.org/C187593909","wikidata":"https://www.wikidata.org/wiki/Q838024","display_name":"Bond graph","level":2,"score":0.454522043466568},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4164593815803528},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.28207409381866455},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.20045310258865356},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.17285388708114624},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08523362874984741},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2021.3052054","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3052054","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09326405.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:19687b497439441785e01f1e626c4c23","is_oa":true,"landing_page_url":"https://doaj.org/article/19687b497439441785e01f1e626c4c23","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 9, Pp 12750-12761 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3052054","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3052054","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09326405.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":[],"awards":[{"id":"https://openalex.org/G8564441603","display_name":null,"funder_award_id":"2018JB020","funder_id":"https://openalex.org/F4320323848","funder_display_name":"Huizhou University"}],"funders":[{"id":"https://openalex.org/F4320323848","display_name":"Huizhou University","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3121456242.pdf","grobid_xml":"https://content.openalex.org/works/W3121456242.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W1510569944","https://openalex.org/W1888005072","https://openalex.org/W2048801439","https://openalex.org/W2081180521","https://openalex.org/W2123249113","https://openalex.org/W2127795553","https://openalex.org/W2283196293","https://openalex.org/W2295739661","https://openalex.org/W2433281745","https://openalex.org/W2443960221","https://openalex.org/W2475334473","https://openalex.org/W2509893387","https://openalex.org/W2510031061","https://openalex.org/W2548570154","https://openalex.org/W2604662567","https://openalex.org/W2767287441","https://openalex.org/W2951001079","https://openalex.org/W2963869731","https://openalex.org/W3107013868","https://openalex.org/W3111386522","https://openalex.org/W4230474071","https://openalex.org/W6678830454","https://openalex.org/W6695596964","https://openalex.org/W6718437798","https://openalex.org/W6786490752"],"related_works":["https://openalex.org/W3009669764","https://openalex.org/W1958094387","https://openalex.org/W2032170356","https://openalex.org/W2371731813","https://openalex.org/W2358330211","https://openalex.org/W3122344597","https://openalex.org/W2110697883","https://openalex.org/W4242433347","https://openalex.org/W3121516376","https://openalex.org/W3121672637"],"abstract_inverted_index":{"The":[0,146],"traditional":[1],"financial":[2],"models":[3],"used":[4,121],"in":[5,51,75,126],"bond":[6,52,60,96,113,144],"default":[7,61],"mainly":[8],"focus":[9],"on":[10,99],"the":[11,37,76,108,124,127,130,136,150],"analysis":[12],"and":[13,21,48,87,103,129,155],"prediction":[14,62,157],"of":[15,31,33,45,56,110],"bonds":[16,32,86],"issued":[17],"by":[18],"listed":[19],"companies,":[20],"they":[22],"lack":[23],"early":[24],"warning":[25],"abilities":[26],"for":[27,59],"a":[28,42,100,112],"large":[29],"number":[30],"nonlisted":[34],"companies.":[35],"At":[36],"same":[38],"time,":[39],"there":[40],"is":[41,55,120,149],"great":[43,57],"deal":[44],"relational":[46],"data":[47,50,66,93],"category":[49],"data.":[53],"It":[54],"significance":[58],"to":[63,73,94,122,142],"use":[64],"these":[65],"reasonably,":[67],"which":[68],"may":[69],"bring":[70],"considerable":[71],"revenue":[72],"companies":[74],"near":[77],"future.":[78],"Therefore,":[79],"this":[80],"paper":[81],"uses":[82],"multisource":[83],"information":[84],"from":[85],"issuers":[88],"as":[89,91,140],"well":[90],"macroeconomic":[92],"predict":[95],"defaults":[97],"based":[98],"knowledge":[101,114,116,125],"graph":[102],"deep":[104,137,151],"learning":[105,118,138],"technology.":[106],"On":[107],"basis":[109],"constructing":[111],"graph,":[115,128],"representation":[117],"technology":[119],"vectorize":[123],"extracted":[131],"vectors":[132],"are":[133,159],"inputted":[134],"into":[135],"model":[139,148],"features":[141],"forecast":[143],"default.":[145],"applied":[147],"factorization":[152],"machine":[153],"model,":[154],"good":[156],"results":[158],"obtained.":[160]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}