{"id":"https://openalex.org/W4293194124","doi":"https://doi.org/10.1109/access.2022.3160826","title":"Development of an Embedding Framework for Clustering Scientific Papers","display_name":"Development of an Embedding Framework for Clustering Scientific Papers","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4293194124","doi":"https://doi.org/10.1109/access.2022.3160826"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3160826","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3160826","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09738638.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/ielx7/6287639/9668973/09738638.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103106781","display_name":"Songhee Kim","orcid":"https://orcid.org/0000-0002-9327-7863"},"institutions":[{"id":"https://openalex.org/I205490536","display_name":"Dongguk University","ror":"https://ror.org/057q6n778","country_code":"KR","type":"education","lineage":["https://openalex.org/I205490536"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Songhee Kim","raw_affiliation_strings":["Department of Industrial and Systems Engineering, Dongguk University, Jung-gu, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-9327-7863","affiliations":[{"raw_affiliation_string":"Department of Industrial and Systems Engineering, Dongguk University, Jung-gu, Seoul, South Korea","institution_ids":["https://openalex.org/I205490536"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046576071","display_name":"Suyeong Lee","orcid":"https://orcid.org/0000-0001-5354-5432"},"institutions":[{"id":"https://openalex.org/I205490536","display_name":"Dongguk University","ror":"https://ror.org/057q6n778","country_code":"KR","type":"education","lineage":["https://openalex.org/I205490536"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Suyeong Lee","raw_affiliation_strings":["Department of Industrial and Systems Engineering, Dongguk University, Jung-gu, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0001-5354-5432","affiliations":[{"raw_affiliation_string":"Department of Industrial and Systems Engineering, Dongguk University, Jung-gu, Seoul, South Korea","institution_ids":["https://openalex.org/I205490536"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029481588","display_name":"Byungun Yoon","orcid":"https://orcid.org/0000-0002-1110-4011"},"institutions":[{"id":"https://openalex.org/I205490536","display_name":"Dongguk University","ror":"https://ror.org/057q6n778","country_code":"KR","type":"education","lineage":["https://openalex.org/I205490536"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Byungun Yoon","raw_affiliation_strings":["Department of Industrial and Systems Engineering, Dongguk University, Jung-gu, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-1110-4011","affiliations":[{"raw_affiliation_string":"Department of Industrial and Systems Engineering, Dongguk University, Jung-gu, Seoul, South Korea","institution_ids":["https://openalex.org/I205490536"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"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":0.1388,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.5462158,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"10","issue":null,"first_page":"32608","last_page":"32621"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9940999746322632,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9940999746322632,"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/T14484","display_name":"Technology and Data Analysis","score":0.96670001745224,"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"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9495000243186951,"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/cluster-analysis","display_name":"Cluster analysis","score":0.8477371335029602},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7935569286346436},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5933913588523865},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5654034614562988},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5163089632987976},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.48867228627204895},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.46875715255737305},{"id":"https://openalex.org/keywords/citation","display_name":"Citation","score":0.43422067165374756},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4025038182735443},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1921335756778717},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.16127493977546692}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8477371335029602},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7935569286346436},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5933913588523865},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5654034614562988},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5163089632987976},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.48867228627204895},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46875715255737305},{"id":"https://openalex.org/C2778805511","wikidata":"https://www.wikidata.org/wiki/Q1713","display_name":"Citation","level":2,"score":0.43422067165374756},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4025038182735443},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1921335756778717},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.16127493977546692},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2022.3160826","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3160826","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09738638.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:f427e2e5817049dcb8e303cd714ee720","is_oa":true,"landing_page_url":"https://doaj.org/article/f427e2e5817049dcb8e303cd714ee720","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 10, Pp 32608-32621 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3160826","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3160826","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09738638.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/G7058112396","display_name":null,"funder_award_id":"NRF-2021R1I1A2045721","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4293194124.pdf","grobid_xml":"https://content.openalex.org/works/W4293194124.grobid-xml"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W103659291","https://openalex.org/W791527587","https://openalex.org/W941230081","https://openalex.org/W1507353491","https://openalex.org/W1978000310","https://openalex.org/W1988280418","https://openalex.org/W2008735451","https://openalex.org/W2025365931","https://openalex.org/W2030297013","https://openalex.org/W2032328503","https://openalex.org/W2041122820","https://openalex.org/W2044391799","https://openalex.org/W2096180802","https://openalex.org/W2120587524","https://openalex.org/W2131681506","https://openalex.org/W2143217695","https://openalex.org/W2145658888","https://openalex.org/W2147450718","https://openalex.org/W2163264097","https://openalex.org/W2165573560","https://openalex.org/W2307623486","https://openalex.org/W2323499410","https://openalex.org/W2516280927","https://openalex.org/W2561237051","https://openalex.org/W2589264714","https://openalex.org/W2610987812","https://openalex.org/W2747133643","https://openalex.org/W2750402403","https://openalex.org/W2769438882","https://openalex.org/W2891638159","https://openalex.org/W2894170875","https://openalex.org/W2896457183","https://openalex.org/W2901793572","https://openalex.org/W2903593370","https://openalex.org/W2943060197","https://openalex.org/W2963514026","https://openalex.org/W2990665416","https://openalex.org/W2995003403","https://openalex.org/W2996946686","https://openalex.org/W3020269638","https://openalex.org/W3028289544","https://openalex.org/W3092258018","https://openalex.org/W3099768174","https://openalex.org/W3102573638","https://openalex.org/W3119402985","https://openalex.org/W3174959106","https://openalex.org/W6624664881","https://openalex.org/W6682262138","https://openalex.org/W6682691769","https://openalex.org/W6755207826"],"related_works":["https://openalex.org/W2032233321","https://openalex.org/W3121970507","https://openalex.org/W2110028391","https://openalex.org/W54497855","https://openalex.org/W217960748","https://openalex.org/W3125814499","https://openalex.org/W2090827041","https://openalex.org/W2148533276","https://openalex.org/W2094012830","https://openalex.org/W187246281"],"abstract_inverted_index":{"In":[0,36],"this":[1,85,207],"era,":[2],"research":[3,34],"and":[4,10,43,81,97,113,116,124,133,142,161,167,177,224],"development":[5],"are":[6,26,46,171],"becoming":[7],"a":[8,18,22,50,63,118,149,186],"continuous":[9],"accelerating":[11],"process":[12],"because":[13],"technology":[14,44,82,114,162,216,222,230],"changes":[15],"rapidly":[16,32],"with":[17,49],"short":[19],"lifecycle.":[20],"As":[21,185],"result,":[23],"various":[24],"methodologies":[25],"being":[27,47],"developed":[28,48],"to":[29,173],"monitor":[30],"these":[31],"changing":[33],"trends;":[35],"particular,":[37],"clustering":[38,59,119,166,169,183],"method-related":[39],"studies":[40,56],"in":[41,79,111,159,212,215],"science":[42,80,112,160],"documents":[45,115],"variety":[51],"of":[52,77,106,200,206],"approaches.":[53],"However,":[54],"previous":[55],"on":[57,62,153],"document":[58],"methods":[60],"focus":[61],"specific":[64],"field":[65,199],"or":[66],"language":[67],"but":[68],"do":[69],"not":[70],"take":[71],"into":[72,102],"consideration":[73,103],"certain":[74],"important":[75,93,155],"pieces":[76],"information":[78,107,156,227],"documents.":[83,99,163],"Therefore,":[84],"study":[86,208],"proposes":[87],"an":[88],"embedding":[89,175],"methodology":[90,120,193],"that":[91,121,151],"uses":[92],"content":[94],"from":[95,145,197],"scientific":[96],"technical":[98],"We":[100],"took":[101],"the":[104,146,182,191,198],"importance":[105],"containing":[108],"core":[109],"structures":[110],"proposed":[117,137,192],"analyzes":[122],"structured":[123],"unstructured":[125],"data,":[126],"such":[127],"as":[128],"textual":[129,141],"information,":[130,132],"author":[131],"citation":[134],"information.":[135],"The":[136,204],"method":[138,150],"combines":[139],"both":[140],"structural":[143],"data":[144,196],"paper,":[147],"using":[148,194],"focuses":[152],"screening":[154],"by":[157],"sections":[158],"Then,":[164],"Girvan-Newman":[165],"Louvain":[168],"models":[170],"applied":[172,190],"generate":[174],"vectors":[176],"show":[178],"evaluation":[179],"results":[180,205],"through":[181],"indices.":[184],"practical":[187],"example,":[188],"we":[189],"paper":[195],"hydrogen":[201],"cell":[202],"vehicles.":[203],"will":[209],"be":[210],"effective":[211],"identifying":[213,221],"gaps":[214],"for":[217,228],"new":[218],"technological":[219],"development,":[220],"trends,":[223],"presenting":[225],"directional":[226],"future":[229],"development.":[231]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-17T08:01:34.144755","created_date":"2025-10-10T00:00:00"}
