{"id":"https://openalex.org/W4396877899","doi":"https://doi.org/10.1109/access.2024.3399767","title":"\u201cPaper, Meet Code\u201d: A Deep Learning Approach to Linking Scholarly Articles With GitHub Repositories","display_name":"\u201cPaper, Meet Code\u201d: A Deep Learning Approach to Linking Scholarly Articles With GitHub Repositories","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4396877899","doi":"https://doi.org/10.1109/access.2024.3399767"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3399767","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/access.2024.3399767","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10529252.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":null,"license_id":null,"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/ielx7/6287639/6514899/10529252.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5098008999","display_name":"Prahyat Puangjaktha","orcid":"https://orcid.org/0009-0005-7066-0260"},"institutions":[{"id":"https://openalex.org/I25399158","display_name":"Mahidol University","ror":"https://ror.org/01znkr924","country_code":"TH","type":"education","lineage":["https://openalex.org/I25399158"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Prahyat Puangjaktha","raw_affiliation_strings":["Faculty of Information and Communication Technology, Mahidol University, Salaya, Thailand"],"raw_orcid":"https://orcid.org/0009-0005-7066-0260","affiliations":[{"raw_affiliation_string":"Faculty of Information and Communication Technology, Mahidol University, Salaya, Thailand","institution_ids":["https://openalex.org/I25399158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030198911","display_name":"Morakot Choetkiertikul","orcid":null},"institutions":[{"id":"https://openalex.org/I25399158","display_name":"Mahidol University","ror":"https://ror.org/01znkr924","country_code":"TH","type":"education","lineage":["https://openalex.org/I25399158"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Morakot Choetkiertikul","raw_affiliation_strings":["Faculty of Information and Communication Technology, Mahidol University, Salaya, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information and Communication Technology, Mahidol University, Salaya, Thailand","institution_ids":["https://openalex.org/I25399158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023506216","display_name":"Suppawong Tuarob","orcid":"https://orcid.org/0000-0002-5201-5699"},"institutions":[{"id":"https://openalex.org/I25399158","display_name":"Mahidol University","ror":"https://ror.org/01znkr924","country_code":"TH","type":"education","lineage":["https://openalex.org/I25399158"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Suppawong Tuarob","raw_affiliation_strings":["Faculty of Information and Communication Technology, Mahidol University, Salaya, Thailand"],"raw_orcid":"https://orcid.org/0000-0002-5201-5699","affiliations":[{"raw_affiliation_string":"Faculty of Information and Communication Technology, Mahidol University, Salaya, Thailand","institution_ids":["https://openalex.org/I25399158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I25399158"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.8335,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.75930098,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"12","issue":null,"first_page":"68410","last_page":"68426"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9901000261306763,"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":0.9901000261306763,"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/T11986","display_name":"Scientific Computing and Data Management","score":0.9896000027656555,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9873999953269958,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8593251705169678},{"id":"https://openalex.org/keywords/metadata","display_name":"Metadata","score":0.7804373502731323},{"id":"https://openalex.org/keywords/publication","display_name":"Publication","score":0.6513462066650391},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.6355494260787964},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.6229985952377319},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5874531865119934},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.5434163212776184},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.45261862874031067},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.42697736620903015},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1976207196712494},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16972211003303528}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8593251705169678},{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.7804373502731323},{"id":"https://openalex.org/C41458344","wikidata":"https://www.wikidata.org/wiki/Q732577","display_name":"Publication","level":2,"score":0.6513462066650391},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.6355494260787964},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.6229985952377319},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5874531865119934},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.5434163212776184},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.45261862874031067},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.42697736620903015},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1976207196712494},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16972211003303528},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C112698675","wikidata":"https://www.wikidata.org/wiki/Q37038","display_name":"Advertising","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3399767","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/access.2024.3399767","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10529252.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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:46d62805cdfd4adf85d5baa6202d1826","is_oa":true,"landing_page_url":"https://doaj.org/article/46d62805cdfd4adf85d5baa6202d1826","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 12, Pp 68410-68426 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3399767","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/access.2024.3399767","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10529252.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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4396877899.pdf"},"referenced_works_count":59,"referenced_works":["https://openalex.org/W1988691616","https://openalex.org/W2088794999","https://openalex.org/W2089838497","https://openalex.org/W2096636183","https://openalex.org/W2143040155","https://openalex.org/W2187089797","https://openalex.org/W2240612763","https://openalex.org/W2286406353","https://openalex.org/W2295598076","https://openalex.org/W2440056063","https://openalex.org/W2512423865","https://openalex.org/W2601908482","https://openalex.org/W2620921533","https://openalex.org/W2768149277","https://openalex.org/W2774995230","https://openalex.org/W2890432166","https://openalex.org/W2911964244","https://openalex.org/W2937423263","https://openalex.org/W2945591913","https://openalex.org/W2953212509","https://openalex.org/W2959468682","https://openalex.org/W2963531473","https://openalex.org/W2963889172","https://openalex.org/W2965991454","https://openalex.org/W2995700434","https://openalex.org/W2999746425","https://openalex.org/W3015474461","https://openalex.org/W3046401567","https://openalex.org/W3046858908","https://openalex.org/W3085804837","https://openalex.org/W3092232764","https://openalex.org/W3100491867","https://openalex.org/W3102273185","https://openalex.org/W3105133011","https://openalex.org/W3105625590","https://openalex.org/W3120545963","https://openalex.org/W3124106474","https://openalex.org/W3177073014","https://openalex.org/W3205379156","https://openalex.org/W3215622429","https://openalex.org/W4213009331","https://openalex.org/W4226096495","https://openalex.org/W4232533539","https://openalex.org/W4236185640","https://openalex.org/W4285056750","https://openalex.org/W4285240469","https://openalex.org/W4294170691","https://openalex.org/W4300896918","https://openalex.org/W4360995349","https://openalex.org/W4364355697","https://openalex.org/W4366774502","https://openalex.org/W4385245566","https://openalex.org/W4385977054","https://openalex.org/W4389338955","https://openalex.org/W6690107600","https://openalex.org/W6696214106","https://openalex.org/W6745609711","https://openalex.org/W6767306326","https://openalex.org/W6980583760"],"related_works":["https://openalex.org/W2058118494","https://openalex.org/W2392768766","https://openalex.org/W2382021449","https://openalex.org/W2095118173","https://openalex.org/W2106424170","https://openalex.org/W2125652721","https://openalex.org/W1985426483","https://openalex.org/W2501188010","https://openalex.org/W4299935056","https://openalex.org/W2010935248"],"abstract_inverted_index":{"Computer":[0],"scientists":[1],"often":[2,36],"publish":[3],"their":[4,8,25,71],"source":[5],"code":[6,12,28,44,74,157],"accompanying":[7],"publications,":[9],"prominently":[10],"using":[11],"repositories":[13,45],"across":[14],"various":[15],"domains.":[16],"Despite":[17],"the":[18,33,48,80,86,95,118],"concurrent":[19],"existence":[20],"of":[21,108,130],"scholarly":[22,41,68],"articles":[23,69],"and":[24,43,89,110,154],"associated":[26,155],"official":[27,73,156],"repositories,":[29,158],"explicit":[30,162],"references":[31],"linking":[32,83],"two":[34],"are":[35],"missing.":[37],"Traditionally,":[38],"identifying":[39],"whether":[40],"content":[42],"pertain":[46],"to":[47],"same":[49],"research":[50],"project":[51],"requires":[52],"manual":[53],"inspection,":[54],"a":[55,61,138,149],"time-consuming":[56],"task.":[57],"This":[58,145],"paper":[59,87,109],"proposes":[60],"deep":[62],"learning-based":[63],"algorithm":[64],"for":[65,105],"automatically":[66],"matching":[67],"with":[70,117,137],"corresponding":[72],"repositories.":[75,166],"Our":[76],"findings":[77],"indicate":[78],"that":[79],"most":[81],"common":[82],"information":[84,164],"includes":[85],"title":[88],"BibTeX":[90],"entries,":[91],"typically":[92],"found":[93],"in":[94,165],"repository\u2019s":[96],"readme":[97],"document.":[98],"In":[99],"this":[100],"study,":[101],"we":[102],"employed":[103],"SPECTER":[104],"vector":[106],"embedding":[107,115],"repository":[111],"metadata.":[112],"Utilizing":[113],"these":[114],"representations":[116],"Light":[119],"Gradient":[120],"Boosting":[121],"Machine":[122],"(LGBM),":[123],"our":[124,134],"method":[125],"achieved":[126],"an":[127],"F1":[128],"score":[129],"0.94.":[131],"Moreover,":[132],"combining":[133],"best":[135],"model":[136],"rule-based":[139],"approach":[140],"improved":[141],"performance":[142],"by":[143],"5.31%.":[144],"study":[146],"successfully":[147],"delineates":[148],"connection":[150],"between":[151],"academic":[152],"papers":[153],"minimizing":[159],"reliance":[160],"on":[161],"bibliographic":[163]},"counts_by_year":[{"year":2026,"cited_by_count":3}],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2024-05-14T00:00:00"}