{"id":"https://openalex.org/W4411004648","doi":"https://doi.org/10.1080/13658816.2025.2514792","title":"<i>Popnet</i> : computer vision based deep learning model for forecasting gridded population","display_name":"<i>Popnet</i> : computer vision based deep learning model for forecasting gridded population","publication_year":2025,"publication_date":"2025-06-03","ids":{"openalex":"https://openalex.org/W4411004648","doi":"https://doi.org/10.1080/13658816.2025.2514792"},"language":"en","primary_location":{"id":"doi:10.1080/13658816.2025.2514792","is_oa":false,"landing_page_url":"https://doi.org/10.1080/13658816.2025.2514792","pdf_url":null,"source":{"id":"https://openalex.org/S4210181446","display_name":"International Journal of Geographical Information Systems","issn_l":"0269-3798","issn":["0269-3798","1362-3087"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Geographical Information Science","raw_type":"journal-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/A5075839279","display_name":"Byeonghwa Jeong","orcid":"https://orcid.org/0009-0009-8643-2640"},"institutions":[{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]},{"id":"https://openalex.org/I1309980932","display_name":"National Transportation Research Center","ror":"https://ror.org/011fc0n53","country_code":"US","type":"government","lineage":["https://openalex.org/I1309980932"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Byeonghwa Jeong","raw_affiliation_strings":["Human Geography Group, Oak Ridge National Laboratory","Human Geography Group, Oak Ridge National Laboratory, Knoxville, TN, USA"],"raw_orcid":"https://orcid.org/0009-0009-8643-2640","affiliations":[{"raw_affiliation_string":"Human Geography Group, Oak Ridge National Laboratory","institution_ids":["https://openalex.org/I1289243028"]},{"raw_affiliation_string":"Human Geography Group, Oak Ridge National Laboratory, Knoxville, TN, USA","institution_ids":["https://openalex.org/I1309980932","https://openalex.org/I1289243028"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061099872","display_name":"Bo Kyeong Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I4210152801","display_name":"Korea Research Institute for Human Settlements","ror":"https://ror.org/05kf6ye97","country_code":"KR","type":"nonprofit","lineage":["https://openalex.org/I4210097958","https://openalex.org/I4210152801"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Bo Kyeong Lee","raw_affiliation_strings":["Geospatial Analysis & Monitoring Center, Korea Research Institute for Human Settlements","Geospatial Analysis & Monitoring Center, Korea Research Institute for Human Settlements, Sejong, South Korea"],"raw_orcid":"https://orcid.org/0009-0004-9474-391X","affiliations":[{"raw_affiliation_string":"Geospatial Analysis & Monitoring Center, Korea Research Institute for Human Settlements","institution_ids":["https://openalex.org/I4210152801"]},{"raw_affiliation_string":"Geospatial Analysis & Monitoring Center, Korea Research Institute for Human Settlements, Sejong, South Korea","institution_ids":["https://openalex.org/I4210152801"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5061099872"],"corresponding_institution_ids":["https://openalex.org/I4210152801"],"apc_list":null,"apc_paid":null,"fwci":1.9325,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.85692315,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"40","issue":"1","first_page":"217","last_page":"236"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9498999714851379,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9498999714851379,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12011","display_name":"Insurance, Mortality, Demography, Risk Management","score":0.9343000054359436,"subfield":{"id":"https://openalex.org/subfields/3317","display_name":"Demography"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5166809558868408},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5080430507659912},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49915242195129395},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4715093672275543},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.44093891978263855},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.42471954226493835},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3414326012134552},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32364851236343384}],"concepts":[{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5166809558868408},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5080430507659912},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49915242195129395},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4715093672275543},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.44093891978263855},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.42471954226493835},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3414326012134552},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32364851236343384},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/13658816.2025.2514792","is_oa":false,"landing_page_url":"https://doi.org/10.1080/13658816.2025.2514792","pdf_url":null,"source":{"id":"https://openalex.org/S4210181446","display_name":"International Journal of Geographical Information Systems","issn_l":"0269-3798","issn":["0269-3798","1362-3087"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Geographical Information Science","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W45882994","https://openalex.org/W1485009520","https://openalex.org/W1901129140","https://openalex.org/W2032521239","https://openalex.org/W2049781056","https://openalex.org/W2121496215","https://openalex.org/W2123843446","https://openalex.org/W2156385758","https://openalex.org/W2192203593","https://openalex.org/W2281960265","https://openalex.org/W2297152540","https://openalex.org/W2487451717","https://openalex.org/W2560321925","https://openalex.org/W2582264034","https://openalex.org/W2597401181","https://openalex.org/W2604271928","https://openalex.org/W2809254203","https://openalex.org/W2864809049","https://openalex.org/W2913691145","https://openalex.org/W2919115771","https://openalex.org/W2922173167","https://openalex.org/W2948194985","https://openalex.org/W2963238274","https://openalex.org/W3009381650","https://openalex.org/W3018862352","https://openalex.org/W3049002444","https://openalex.org/W3136415205","https://openalex.org/W3149839747","https://openalex.org/W3195802189","https://openalex.org/W3209441747","https://openalex.org/W3215685144","https://openalex.org/W4206643932","https://openalex.org/W4213204225","https://openalex.org/W4224304105","https://openalex.org/W4248009905","https://openalex.org/W4379142028","https://openalex.org/W4381885283","https://openalex.org/W4390807498","https://openalex.org/W4391005997","https://openalex.org/W4401173127","https://openalex.org/W4408782403","https://openalex.org/W6753146606"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W2731899572","https://openalex.org/W4230611425","https://openalex.org/W4294635752","https://openalex.org/W4304166257","https://openalex.org/W4383066092","https://openalex.org/W3215138031","https://openalex.org/W2804383999","https://openalex.org/W4380075502"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
