{"id":"https://openalex.org/W4406028317","doi":"https://doi.org/10.1109/access.2025.3525757","title":"Intelligent Prediction of Flood Disaster Risk Levels Based on Knowledge Graph and Graph Neural Networks","display_name":"Intelligent Prediction of Flood Disaster Risk Levels Based on Knowledge Graph and Graph Neural Networks","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4406028317","doi":"https://doi.org/10.1109/access.2025.3525757"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3525757","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3525757","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.2025.3525757","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Peisheng Yang","orcid":"https://orcid.org/0009-0000-3556-4963"},"institutions":[{"id":"https://openalex.org/I4210148145","display_name":"Jiangxi Academy of Environmental Sciences","ror":"https://ror.org/05kfmjk33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210148145"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Peisheng Yang","raw_affiliation_strings":["Jiangxi Academy of Water Science and Engineering, Jiangxi Key Laboratory of Flood and Drought Disaster Defense, Nanchang, China"],"raw_orcid":"https://orcid.org/0009-0000-3556-4963","affiliations":[{"raw_affiliation_string":"Jiangxi Academy of Water Science and Engineering, Jiangxi Key Laboratory of Flood and Drought Disaster Defense, Nanchang, China","institution_ids":["https://openalex.org/I4210148145"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101102062","display_name":"Xiaohua Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210148145","display_name":"Jiangxi Academy of Environmental Sciences","ror":"https://ror.org/05kfmjk33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210148145"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohua Xu","raw_affiliation_strings":["Jiangxi Academy of Water Science and Engineering, Jiangxi Key Laboratory of Flood and Drought Disaster Defense, Nanchang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangxi Academy of Water Science and Engineering, Jiangxi Key Laboratory of Flood and Drought Disaster Defense, Nanchang, China","institution_ids":["https://openalex.org/I4210148145"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Meilan Shao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210163048","display_name":"Jiangxi College of Applied Technology","ror":"https://ror.org/05d5kcc69","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163048"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meilan Shao","raw_affiliation_strings":["Jiangxi College of Construction, Nanchang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangxi College of Construction, Nanchang, China","institution_ids":["https://openalex.org/I4210163048"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101909318","display_name":"Yi Liu","orcid":"https://orcid.org/0000-0002-5879-7118"},"institutions":[{"id":"https://openalex.org/I4210148145","display_name":"Jiangxi Academy of Environmental Sciences","ror":"https://ror.org/05kfmjk33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210148145"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yewei Liu","raw_affiliation_strings":["Jiangxi Academy of Water Science and Engineering, Jiangxi Key Laboratory of Flood and Drought Disaster Defense, Nanchang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangxi Academy of Water Science and Engineering, Jiangxi Key Laboratory of Flood and Drought Disaster Defense, Nanchang, China","institution_ids":["https://openalex.org/I4210148145"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210148145"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":16.4558,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.98744569,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"13","issue":null,"first_page":"8416","last_page":"8424"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.843500018119812,"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/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.843500018119812,"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/T13832","display_name":"Advanced Decision-Making Techniques","score":0.7369999885559082,"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/T13955","display_name":"Evaluation Methods in Various Fields","score":0.7275999784469604,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.7179141044616699},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5031079649925232},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.49462029337882996},{"id":"https://openalex.org/keywords/flood-myth","display_name":"Flood myth","score":0.4700276553630829},{"id":"https://openalex.org/keywords/graph-theory","display_name":"Graph theory","score":0.448102205991745},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3820178508758545},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2558600902557373},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1032804548740387},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08014151453971863}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7179141044616699},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5031079649925232},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.49462029337882996},{"id":"https://openalex.org/C74256435","wikidata":"https://www.wikidata.org/wiki/Q134052","display_name":"Flood myth","level":2,"score":0.4700276553630829},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.448102205991745},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3820178508758545},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2558600902557373},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1032804548740387},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08014151453971863},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3525757","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3525757","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:doaj.org/article:8690b672e4154cd7a37bf62f958b9d0d","is_oa":true,"landing_page_url":"https://doaj.org/article/8690b672e4154cd7a37bf62f958b9d0d","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 8416-8424 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3525757","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3525757","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":[{"score":0.8700000047683716,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[{"id":"https://openalex.org/G126568453","display_name":null,"funder_award_id":"20223AEI91008","funder_id":"https://openalex.org/F4320326696","funder_display_name":"Jiangxi Provincial Department of Science and Technology"},{"id":"https://openalex.org/G3452546256","display_name":null,"funder_award_id":"202425YBKT06","funder_id":"https://openalex.org/F4320325888","funder_display_name":"Shaanxi Provincial Department of Water Resources"},{"id":"https://openalex.org/G938404712","display_name":null,"funder_award_id":"202325ZDKT19","funder_id":"https://openalex.org/F4320325888","funder_display_name":"Shaanxi Provincial Department of Water Resources"}],"funders":[{"id":"https://openalex.org/F4320325888","display_name":"Shaanxi Provincial Department of Water Resources","ror":null},{"id":"https://openalex.org/F4320326696","display_name":"Jiangxi Provincial Department of Science and Technology","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1863782347","https://openalex.org/W2117970031","https://openalex.org/W2376767379","https://openalex.org/W2801763530","https://openalex.org/W2809924093","https://openalex.org/W2893577034","https://openalex.org/W2903988118","https://openalex.org/W2922359089","https://openalex.org/W2938393691","https://openalex.org/W2968428967","https://openalex.org/W3000661959","https://openalex.org/W3013049399","https://openalex.org/W3027761824","https://openalex.org/W3093835305","https://openalex.org/W3111526209","https://openalex.org/W3121604086","https://openalex.org/W3129100943","https://openalex.org/W3133830354","https://openalex.org/W3134694888","https://openalex.org/W3138479519","https://openalex.org/W3151751977","https://openalex.org/W3182671303","https://openalex.org/W4205757844","https://openalex.org/W4221085650","https://openalex.org/W4281390107","https://openalex.org/W4285604296","https://openalex.org/W4293431187","https://openalex.org/W4293581732","https://openalex.org/W4295779278","https://openalex.org/W4317738844","https://openalex.org/W4319297760","https://openalex.org/W4380880689","https://openalex.org/W4385484078","https://openalex.org/W4387139279","https://openalex.org/W4387587581","https://openalex.org/W4390630498","https://openalex.org/W4392185878","https://openalex.org/W4394570524","https://openalex.org/W4397290372","https://openalex.org/W4398175432","https://openalex.org/W4401073354","https://openalex.org/W6686934439","https://openalex.org/W6961214109"],"related_works":["https://openalex.org/W2394377911","https://openalex.org/W63519562","https://openalex.org/W3020755331","https://openalex.org/W2593813247","https://openalex.org/W4386724243","https://openalex.org/W4388268408","https://openalex.org/W4387816319","https://openalex.org/W2016618709","https://openalex.org/W4380088563","https://openalex.org/W2336831281"],"abstract_inverted_index":{"Flash":[0],"flood":[1,152,158,171,185,201],"disasters":[2],"pose":[3],"a":[4,47,101,167],"significant":[5,89],"threat":[6],"to":[7,45],"human":[8],"life":[9],"and":[10,22,36,72,120,129,156,174,189,204],"property,":[11],"making":[12],"accurate":[13],"prediction":[14,96,203],"of":[15,124,151,170],"risk":[16,140,159,172,175,205],"levels":[17,141,155],"crucial":[18],"for":[19,184,198],"disaster":[20,153,187,202],"prevention":[21],"mitigation.":[23],"This":[24,192],"study":[25],"introduces":[26],"an":[27],"innovative":[28],"artificial":[29],"intelligence":[30],"approach":[31],"based":[32],"on":[33,100],"knowledge":[34,48],"graphs":[35],"graph":[37,55],"neural":[38,56],"networks.":[39,57],"The":[40],"method":[41,193],"integrates":[42],"multi-source":[43],"data":[44],"construct":[46],"graph,":[49],"which":[50],"is":[51,127,131],"then":[52],"modeled":[53],"using":[54,63],"We":[58],"evaluate":[59],"the":[60,77,108,122,134],"model\u2019s":[61],"performance":[62,83,90,123],"metrics":[64],"such":[65,116],"as":[66,117],"accuracy,":[67],"precision,":[68],"recall,":[69],"F1":[70],"score,":[71],"AUC.":[73],"Under":[74],"five-fold":[75],"cross-validation,":[76],"AUC":[78],"reached":[79],"0.84,":[80],"with":[81,107],"all":[82],"indicators":[84],"showing":[85],"good":[86],"results,":[87],"indicating":[88],"improvement.":[91],"Experimental":[92],"results":[93],"demonstrate":[94],"high":[95],"accuracy":[97],"when":[98],"tested":[99],"dataset":[102],"containing":[103],"9000":[104],"records.":[105],"Compared":[106],"three":[109],"classical":[110],"models":[111],"in":[112,142,163,178],"traditional":[113,135],"machine":[114],"learning,":[115],"RF,":[118],"SVM":[119],"ANN,":[121],"this":[125],"model":[126],"improved,":[128],"it":[130],"better":[132],"than":[133],"model.":[136],"Through":[137],"case":[138],"analysis,":[139],"multiple":[143],"regions":[144],"were":[145],"accurately":[146],"predicted.":[147],"Additionally,":[148],"statistical":[149],"analysis":[150],"warning":[154],"flash":[157,200],"zoning":[160],"across":[161],"cities":[162],"Jiangxi":[164],"Province":[165],"provides":[166,194],"visual":[168],"representation":[169],"distribution":[173],"level":[176],"proportions":[177],"different":[179],"cities,":[180],"offering":[181],"strong":[182],"reference":[183],"prevention,":[186],"mitigation,":[188],"urban":[190],"planning.":[191],"important":[195],"scientific":[196],"support":[197],"precise":[199],"management.":[206]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6}],"updated_date":"2026-05-07T13:39:58.223016","created_date":"2025-10-10T00:00:00"}