{"id":"https://openalex.org/W4409641075","doi":"https://doi.org/10.1109/access.2025.3562750","title":"Detection of AI-Generated Texts: A Bi-LSTM and Attention-Based Approach","display_name":"Detection of AI-Generated Texts: A Bi-LSTM and Attention-Based Approach","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4409641075","doi":"https://doi.org/10.1109/access.2025.3562750"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3562750","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3562750","pdf_url":null,"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://doi.org/10.1109/access.2025.3562750","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085379480","display_name":"John Blake","orcid":"https://orcid.org/0000-0002-3150-4995"},"institutions":[{"id":"https://openalex.org/I141591182","display_name":"University of Aizu","ror":"https://ror.org/02pg0e883","country_code":"JP","type":"education","lineage":["https://openalex.org/I141591182"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"John Blake","raw_affiliation_strings":["School of Computer Science and Engineering, The University of Aizu, Aizuwakamatsu, Japan","School of Computer Science and Engineering, University of Aizu, Aizuwakamatsu, Japan"],"raw_orcid":"https://orcid.org/0000-0002-3150-4995","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, The University of Aizu, Aizuwakamatsu, Japan","institution_ids":["https://openalex.org/I141591182"]},{"raw_affiliation_string":"School of Computer Science and Engineering, University of Aizu, Aizuwakamatsu, Japan","institution_ids":["https://openalex.org/I141591182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017981507","display_name":"Abu Saleh Musa Miah","orcid":"https://orcid.org/0000-0002-1238-0464"},"institutions":[{"id":"https://openalex.org/I141591182","display_name":"University of Aizu","ror":"https://ror.org/02pg0e883","country_code":"JP","type":"education","lineage":["https://openalex.org/I141591182"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Abu Saleh Musa Miah","raw_affiliation_strings":["School of Computer Science and Engineering, The University of Aizu, Aizuwakamatsu, Japan","School of Computer Science and Engineering, University of Aizu, Aizuwakamatsu, Japan"],"raw_orcid":"https://orcid.org/0000-0002-1238-0464","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, The University of Aizu, Aizuwakamatsu, Japan","institution_ids":["https://openalex.org/I141591182"]},{"raw_affiliation_string":"School of Computer Science and Engineering, University of Aizu, Aizuwakamatsu, Japan","institution_ids":["https://openalex.org/I141591182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090730653","display_name":"Krzysztof Kredens","orcid":"https://orcid.org/0000-0001-7038-9478"},"institutions":[{"id":"https://openalex.org/I169199633","display_name":"Aston University","ror":"https://ror.org/05j0ve876","country_code":"GB","type":"education","lineage":["https://openalex.org/I169199633"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Krzysztof Kredens","raw_affiliation_strings":["Aston Institute for Forensic Linguistics, Aston University, Birmingham, U.K","Aston Institute for Forensic Linguistics, Aston University, Birmingham, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aston Institute for Forensic Linguistics, Aston University, Birmingham, U.K","institution_ids":["https://openalex.org/I169199633"]},{"raw_affiliation_string":"Aston Institute for Forensic Linguistics, Aston University, Birmingham, United Kingdom","institution_ids":["https://openalex.org/I169199633"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005221038","display_name":"Jungpil Shin","orcid":"https://orcid.org/0000-0002-7476-2468"},"institutions":[{"id":"https://openalex.org/I141591182","display_name":"University of Aizu","ror":"https://ror.org/02pg0e883","country_code":"JP","type":"education","lineage":["https://openalex.org/I141591182"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jungpil Shin","raw_affiliation_strings":["School of Computer Science and Engineering, The University of Aizu, Aizuwakamatsu, Japan","School of Computer Science and Engineering, University of Aizu, Aizuwakamatsu, Japan"],"raw_orcid":"https://orcid.org/0000-0002-7476-2468","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, The University of Aizu, Aizuwakamatsu, Japan","institution_ids":["https://openalex.org/I141591182"]},{"raw_affiliation_string":"School of Computer Science and Engineering, University of Aizu, Aizuwakamatsu, Japan","institution_ids":["https://openalex.org/I141591182"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"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":24.6228,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.99417618,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"13","issue":null,"first_page":"71563","last_page":"71576"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.7753999829292297,"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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.7753999829292297,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.7017999887466431,"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/computer-science","display_name":"Computer science","score":0.7436464428901672},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5586012005805969},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5145920515060425},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.43003422021865845},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33906295895576477}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7436464428901672},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5586012005805969},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5145920515060425},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.43003422021865845},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33906295895576477}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2025.3562750","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3562750","pdf_url":null,"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:publications.aston.ac.uk:47505","is_oa":true,"landing_page_url":"https://publications.aston.ac.uk/view/author/62b102dc00281b0a24406b8033555526.html>","pdf_url":"https://publications.aston.ac.uk/id/eprint/47505/3/Detection_of_AI-Generated_Texts_A_Bi-LSTM_and_Attention-Based_Approach.pdf","source":{"id":"https://openalex.org/S4306400483","display_name":"Aston Publications Explorer (Aston University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I169199633","host_organization_name":"Aston University","host_organization_lineage":["https://openalex.org/I169199633"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"},{"id":"pmh:oai:doaj.org/article:37ebe036f23e48828e2b48161097f7fd","is_oa":true,"landing_page_url":"https://doaj.org/article/37ebe036f23e48828e2b48161097f7fd","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 13, Pp 71563-71576 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3562750","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3562750","pdf_url":null,"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":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W1632114991","https://openalex.org/W1880789213","https://openalex.org/W1902237438","https://openalex.org/W1968941579","https://openalex.org/W2276477284","https://openalex.org/W2493916176","https://openalex.org/W2790166049","https://openalex.org/W2891520355","https://openalex.org/W2942500499","https://openalex.org/W2945165791","https://openalex.org/W2951080837","https://openalex.org/W2963441585","https://openalex.org/W2964110616","https://openalex.org/W2965373594","https://openalex.org/W2977542973","https://openalex.org/W2979826702","https://openalex.org/W3013843954","https://openalex.org/W3046357466","https://openalex.org/W3056359487","https://openalex.org/W3097149262","https://openalex.org/W3104764318","https://openalex.org/W3106359033","https://openalex.org/W3165883805","https://openalex.org/W3174519801","https://openalex.org/W3187389435","https://openalex.org/W3212887679","https://openalex.org/W4223913677","https://openalex.org/W4248371091","https://openalex.org/W4251372957","https://openalex.org/W4289130154","https://openalex.org/W4313503779","https://openalex.org/W4313855621","https://openalex.org/W4317390716","https://openalex.org/W4322503366","https://openalex.org/W4382201856","https://openalex.org/W4383617070","https://openalex.org/W4385245566","https://openalex.org/W4389009477","https://openalex.org/W6631943919","https://openalex.org/W6677684581","https://openalex.org/W6679434410","https://openalex.org/W6680521098","https://openalex.org/W6694517276","https://openalex.org/W6729654139","https://openalex.org/W6732274900","https://openalex.org/W6742892390","https://openalex.org/W6755207826","https://openalex.org/W6757107679","https://openalex.org/W6759455113","https://openalex.org/W6763240421","https://openalex.org/W6763701032","https://openalex.org/W6764055196","https://openalex.org/W6767101625","https://openalex.org/W6769311223","https://openalex.org/W6774897810","https://openalex.org/W6776403474","https://openalex.org/W6794482465","https://openalex.org/W6799120855","https://openalex.org/W6810739718","https://openalex.org/W6852041567","https://openalex.org/W6982535598","https://openalex.org/W7019817770"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"This":[0,64,178],"paper":[1],"presents":[2,52],"a":[3,53,102,171],"novel":[4],"algorithm":[5],"that":[6,108,137],"leverages":[7,109],"cutting-edge":[8],"machine-learning":[9],"techniques":[10],"to":[11,27,40,58,73],"accurately":[12],"and":[13,44,55,79,112,143,165,193,207],"efficiently":[14],"detect":[15],"AI-generated":[16,45],"texts.":[17],"Rapid":[18],"advancements":[19],"in":[20],"natural":[21],"language":[22],"processing":[23],"models":[24],"have":[25],"led":[26],"the":[28,59,66,81,154,163],"generation":[29],"of":[30,49,61,83],"text":[31],"closely":[32],"resembling":[33],"human":[34,43],"language,":[35],"making":[36],"it":[37],"increasingly":[38],"difficult":[39],"differentiate":[41],"between":[42],"content.":[46],"However,":[47],"misuse":[48],"such":[50],"texts":[51],"serious":[54],"imminent":[56],"threat":[57],"quality":[60],"academic":[62],"publishing.":[63],"underscores":[65],"urgent":[67],"need":[68],"for":[69,92,186],"robust":[70],"detection":[71],"mechanisms":[72],"ensure":[74],"information":[75],"quality,":[76],"maintain":[77],"trust,":[78],"preserve":[80],"integrity":[82],"research":[84],"publications.":[85],"Our":[86],"proposed":[87,99,197],"model":[88,100,198],"outperformed":[89],"existing":[90],"algorithms":[91],"accuracy":[93],"with":[94,120],"less":[95],"computational":[96,194],"complexity.":[97],"The":[98,123,160,196],"is":[101,180],"feature-based":[103],"hybrid":[104],"deep":[105],"learning":[106],"network":[107],"part-of-speech":[110],"tagging":[111],"integrates":[113],"Bidirectional":[114],"Long":[115],"Short-Term":[116],"Memory":[117],"(BiLSTM)":[118],"networks":[119],"Attention":[121],"modules.":[122],"initial":[124,166],"module":[125],"extracts":[126],"local":[127],"contextual":[128],"features":[129],"using":[130],"convolutional":[131],"layers,":[132],"followed":[133],"by":[134],"BiLSTM":[135],"layers":[136,185],"capture":[138],"long-term":[139],"dependencies":[140],"from":[141,162],"past":[142],"future":[144],"sequences.":[145],"An":[146],"attention":[147,164],"mechanism":[148],"highlights":[149],"critical":[150],"sequence":[151],"components,":[152],"enhancing":[153],"model\u2019s":[155],"focus":[156],"on":[157,201],"relevant":[158],"data.":[159],"outputs":[161],"modules":[167],"are":[168],"concatenated":[169],"through":[170],"residual":[172],"connection,":[173],"ensuring":[174],"comprehensive":[175],"feature":[176,191],"representation.":[177],"combination":[179],"then":[181],"fed":[182],"into":[183],"dense":[184],"final":[187],"classification,":[188],"effectively":[189],"balancing":[190],"richness":[192],"efficiency.":[195],"was":[199],"evaluated":[200],"two":[202],"benchmark":[203],"datasets,":[204],"achieving":[205],"85.00%":[206],"88.00%":[208],"accuracy,":[209],"respectively.":[210]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":7}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}