{"id":"https://openalex.org/W4405304194","doi":"https://doi.org/10.1109/besc64747.2024.10780715","title":"A Bibliometric Analysis of Leveraging Artificial Intelligence Technology for Global Pandemics","display_name":"A Bibliometric Analysis of Leveraging Artificial Intelligence Technology for Global Pandemics","publication_year":2024,"publication_date":"2024-08-16","ids":{"openalex":"https://openalex.org/W4405304194","doi":"https://doi.org/10.1109/besc64747.2024.10780715"},"language":"en","primary_location":{"id":"doi:10.1109/besc64747.2024.10780715","is_oa":false,"landing_page_url":"https://doi.org/10.1109/besc64747.2024.10780715","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 11th International Conference on Behavioural and Social Computing (BESC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052152119","display_name":"Lianghong Lin","orcid":"https://orcid.org/0000-0002-1189-3743"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lianghong Lin","raw_affiliation_strings":["School of Artificial Intelligence, South China Normal University,Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, South China Normal University,Guangzhou,China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045026565","display_name":"Heng Weng","orcid":"https://orcid.org/0000-0003-2547-773X"},"institutions":[{"id":"https://openalex.org/I117532281","display_name":"Guangzhou University of Chinese Medicine","ror":"https://ror.org/03qb7bg95","country_code":"CN","type":"education","lineage":["https://openalex.org/I117532281"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heng Weng","raw_affiliation_strings":["The Second Affiliated Hospital of Guangzhou University of Chinese Medicine,Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"The Second Affiliated Hospital of Guangzhou University of Chinese Medicine,Guangzhou,China","institution_ids":["https://openalex.org/I117532281"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086542214","display_name":"Enliang Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Enliang Yan","raw_affiliation_strings":["School of Artificial Intelligence, South China Normal University,Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, South China Normal University,Guangzhou,China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054304362","display_name":"Choujun Zhan","orcid":"https://orcid.org/0000-0002-1445-3559"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Choujun Zhan","raw_affiliation_strings":["School of Artificial Intelligence, South China Normal University,Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, South China Normal University,Guangzhou,China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072482402","display_name":"Fu Lee Wang","orcid":"https://orcid.org/0000-0002-3976-0053"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Fu Lee Wang","raw_affiliation_strings":["School of Science and Technology, Hong Kong Metropolitan University,Hong Kong,China"],"affiliations":[{"raw_affiliation_string":"School of Science and Technology, Hong Kong Metropolitan University,Hong Kong,China","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080646275","display_name":"Tianyong Hao","orcid":"https://orcid.org/0000-0002-9792-3949"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianyong Hao","raw_affiliation_strings":["School of Artificial Intelligence, South China Normal University,Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, South China Normal University,Guangzhou,China","institution_ids":["https://openalex.org/I187400657"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5052152119"],"corresponding_institution_ids":["https://openalex.org/I187400657"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.28441169,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14260","display_name":"Impact of AI and Big Data on Business and Society","score":0.1356000006198883,"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/T14260","display_name":"Impact of AI and Big Data on Business and Society","score":0.1356000006198883,"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/T14413","display_name":"Advanced Technologies in Various Fields","score":0.13169999420642853,"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":0.6022009253501892},{"id":"https://openalex.org/keywords/pandemic","display_name":"Pandemic","score":0.5837368965148926},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4747089445590973},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41866976022720337},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.30206388235092163}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6022009253501892},{"id":"https://openalex.org/C89623803","wikidata":"https://www.wikidata.org/wiki/Q12184","display_name":"Pandemic","level":5,"score":0.5837368965148926},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4747089445590973},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41866976022720337},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.30206388235092163},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.0},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/besc64747.2024.10780715","is_oa":false,"landing_page_url":"https://doi.org/10.1109/besc64747.2024.10780715","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 11th International Conference on Behavioural and Social Computing (BESC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.5400000214576721,"display_name":"Good health and well-being"}],"awards":[{"id":"https://openalex.org/G3074276508","display_name":null,"funder_award_id":"UGC/FDS16/E09/22","funder_id":"https://openalex.org/F4320321592","funder_display_name":"Research Grants Council, University Grants Committee"},{"id":"https://openalex.org/G3815167050","display_name":null,"funder_award_id":"2021A1515220137","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G7315383668","display_name":null,"funder_award_id":"2023YFC3502900","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321592","display_name":"Research Grants Council, University Grants Committee","ror":"https://ror.org/00djwmt25"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W2098152954","https://openalex.org/W2162965868","https://openalex.org/W2893667345","https://openalex.org/W2962686197","https://openalex.org/W2963881775","https://openalex.org/W3003683721","https://openalex.org/W3006462661","https://openalex.org/W3017644243","https://openalex.org/W3022605724","https://openalex.org/W3025370095","https://openalex.org/W3029684717","https://openalex.org/W3031396671","https://openalex.org/W3036495543","https://openalex.org/W3038273726","https://openalex.org/W3048804154","https://openalex.org/W3086191894","https://openalex.org/W3087747282","https://openalex.org/W3095976874","https://openalex.org/W3123035233","https://openalex.org/W3127419458","https://openalex.org/W3153913795","https://openalex.org/W3157395621","https://openalex.org/W3157400239","https://openalex.org/W3187183441","https://openalex.org/W3193706068","https://openalex.org/W3204794075","https://openalex.org/W3207808835","https://openalex.org/W3212511497","https://openalex.org/W3215525389","https://openalex.org/W3215853831","https://openalex.org/W4205135144","https://openalex.org/W4206627355","https://openalex.org/W4213033974","https://openalex.org/W4213183994","https://openalex.org/W4220862305","https://openalex.org/W4225504861","https://openalex.org/W4289104039","https://openalex.org/W4296026614","https://openalex.org/W4311529522","https://openalex.org/W4322773451","https://openalex.org/W4323059991","https://openalex.org/W4323304850","https://openalex.org/W4323653072","https://openalex.org/W4364365712"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4205698903","https://openalex.org/W4400613637","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W3046517191"],"abstract_inverted_index":{"Utilizing":[0],"artificial":[1,25,87],"intelligence":[2,26,88],"technology":[3],"in":[4,27,74,89],"global":[5,28,90],"pandemic,":[6],"especially":[7],"COVID-19":[8],"epidemic":[9],"after":[10],"2020,":[11],"has":[12],"produced":[13],"a":[14,40],"wealth":[15],"of":[16,24,51,71,86,101],"studies.":[17],"To":[18,43],"investigate":[19],"the":[20,46,49,69,78,84,98],"role":[21],"and":[22,37,58],"impact":[23],"pandemics,":[29,91],"4,708":[30],"relevant":[31],"publications":[32],"are":[33],"retrieved":[34],"from":[35],"PubMed":[36],"subjected":[38],"to":[39,76,93],"bibliometric":[41],"analysis.":[42],"be":[44],"specific,":[45],"analysis":[47],"encompasses":[48],"number":[50],"articles,":[52],"prolific":[53],"journals,":[54],"institutions,":[55],"countries/regions,":[56],"authors":[57],"their":[59],"collaborative":[60],"relations,":[61],"as":[62,64],"well":[63],"research":[65],"hotspots.":[66],"More":[67],"importantly,":[68],"findings":[70],"this":[72],"study,":[73],"addition":[75],"enriching":[77],"current":[79],"literature":[80],"review":[81],"associated":[82],"with":[83],"application":[85],"attempt":[92],"provide":[94],"valuable":[95],"lessons":[96],"for":[97],"future":[99],"face":[100],"pandemics.":[102]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
