{"id":"https://openalex.org/W4385489691","doi":"https://doi.org/10.1109/access.2023.3301153","title":"Streamflow Prediction in the Mekong River Basin Using Deep Neural Networks","display_name":"Streamflow Prediction in the Mekong River Basin Using Deep Neural Networks","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4385489691","doi":"https://doi.org/10.1109/access.2023.3301153"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3301153","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3301153","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10201854.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/ielx7/6287639/6514899/10201854.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058096520","display_name":"Thi-Thu-Ha Nguyen","orcid":"https://orcid.org/0000-0003-4565-1731"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Thi-Thu-Ha Nguyen","raw_affiliation_strings":["Department of Bioenvironmental Systems Engineering, National Taiwan University, Taipei, Taiwan"],"raw_orcid":"https://orcid.org/0000-0003-4565-1731","affiliations":[{"raw_affiliation_string":"Department of Bioenvironmental Systems Engineering, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001193118","display_name":"Duc-Quang Vu","orcid":"https://orcid.org/0000-0001-5458-3713"},"institutions":[{"id":"https://openalex.org/I22265921","display_name":"National Central University","ror":"https://ror.org/00944ve71","country_code":"TW","type":"education","lineage":["https://openalex.org/I22265921"]},{"id":"https://openalex.org/I4210115718","display_name":"Thai Nguyen University","ror":"https://ror.org/02128gy91","country_code":"VN","type":"education","lineage":["https://openalex.org/I4210115718"]},{"id":"https://openalex.org/I4387154701","display_name":"Thai Nguyen University Of Education","ror":"https://ror.org/044deqz63","country_code":null,"type":"education","lineage":["https://openalex.org/I4387154701"]}],"countries":["TW","VN"],"is_corresponding":false,"raw_author_name":"Duc-Quang Vu","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Central University, Taoyuan, Taiwan","Thai Nguyen University of Education, Vietnam"],"raw_orcid":"https://orcid.org/0000-0001-5458-3713","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Central University, Taoyuan, Taiwan","institution_ids":["https://openalex.org/I22265921"]},{"raw_affiliation_string":"Thai Nguyen University of Education, Vietnam","institution_ids":["https://openalex.org/I4210115718","https://openalex.org/I4387154701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029957844","display_name":"Son T.","orcid":"https://orcid.org/0000-0003-4599-1525"},"institutions":[{"id":"https://openalex.org/I126231945","display_name":"Queen's University Belfast","ror":"https://ror.org/00hswnk62","country_code":"GB","type":"education","lineage":["https://openalex.org/I126231945"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Son T. Mai","raw_affiliation_strings":["School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast, Belfast, U.K"],"raw_orcid":"https://orcid.org/0000-0003-4599-1525","affiliations":[{"raw_affiliation_string":"School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast, Belfast, U.K","institution_ids":["https://openalex.org/I126231945"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045408352","display_name":"Thanh Duc Dang","orcid":"https://orcid.org/0000-0002-9303-9056"},"institutions":[{"id":"https://openalex.org/I4210123993","display_name":"Van Lang University","ror":"https://ror.org/02ryrf141","country_code":"VN","type":"education","lineage":["https://openalex.org/I4210123993"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Thanh Duc Dang","raw_affiliation_strings":["Laboratory of Environmental Sciences and Climate Change, Institute for Computational Science and Artificial Intelligence, Van Lang University, Ho Chi Minh City, Vietnam","Faculty of Environment, Van Lang University, Ho Chi Minh City, Vietnam","Institute for Computational Science and Artificial Intelligence, Laboratory of Environmental Sciences and Climate Change, Van Lang University, Ho Chi Minh City, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Environmental Sciences and Climate Change, Institute for Computational Science and Artificial Intelligence, Van Lang University, Ho Chi Minh City, Vietnam","institution_ids":["https://openalex.org/I4210123993"]},{"raw_affiliation_string":"Faculty of Environment, Van Lang University, Ho Chi Minh City, Vietnam","institution_ids":["https://openalex.org/I4210123993"]},{"raw_affiliation_string":"Institute for Computational Science and Artificial Intelligence, Laboratory of Environmental Sciences and Climate Change, Van Lang University, Ho Chi Minh City, Vietnam","institution_ids":["https://openalex.org/I4210123993"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"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":1.6561,"has_fulltext":true,"cited_by_count":19,"citation_normalized_percentile":{"value":0.81711721,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"11","issue":null,"first_page":"97930","last_page":"97943"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11490","display_name":"Hydrological Forecasting Using AI","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11490","display_name":"Hydrological Forecasting Using AI","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10330","display_name":"Hydrology and Watershed Management Studies","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10930","display_name":"Flood Risk Assessment and Management","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"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/streamflow","display_name":"Streamflow","score":0.8451299667358398},{"id":"https://openalex.org/keywords/mekong-river","display_name":"Mekong river","score":0.8446388244628906},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5908695459365845},{"id":"https://openalex.org/keywords/stream-flow","display_name":"Stream flow","score":0.5785841941833496},{"id":"https://openalex.org/keywords/structural-basin","display_name":"Structural basin","score":0.5348803997039795},{"id":"https://openalex.org/keywords/hydrology","display_name":"Hydrology (agriculture)","score":0.3938867151737213},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3832179009914398},{"id":"https://openalex.org/keywords/drainage-basin","display_name":"Drainage basin","score":0.35138386487960815},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3463994264602661},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2773802876472473},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2571916878223419},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.14970111846923828},{"id":"https://openalex.org/keywords/geomorphology","display_name":"Geomorphology","score":0.14236795902252197},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.1040906012058258},{"id":"https://openalex.org/keywords/geotechnical-engineering","display_name":"Geotechnical engineering","score":0.06636890769004822}],"concepts":[{"id":"https://openalex.org/C53739315","wikidata":"https://www.wikidata.org/wiki/Q29425295","display_name":"Streamflow","level":3,"score":0.8451299667358398},{"id":"https://openalex.org/C3018204926","wikidata":"https://www.wikidata.org/wiki/Q41179","display_name":"Mekong river","level":3,"score":0.8446388244628906},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5908695459365845},{"id":"https://openalex.org/C2992826812","wikidata":"https://www.wikidata.org/wiki/Q29425295","display_name":"Stream flow","level":3,"score":0.5785841941833496},{"id":"https://openalex.org/C109007969","wikidata":"https://www.wikidata.org/wiki/Q749565","display_name":"Structural basin","level":2,"score":0.5348803997039795},{"id":"https://openalex.org/C76886044","wikidata":"https://www.wikidata.org/wiki/Q2883300","display_name":"Hydrology (agriculture)","level":2,"score":0.3938867151737213},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3832179009914398},{"id":"https://openalex.org/C126645576","wikidata":"https://www.wikidata.org/wiki/Q166620","display_name":"Drainage basin","level":2,"score":0.35138386487960815},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3463994264602661},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2773802876472473},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2571916878223419},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.14970111846923828},{"id":"https://openalex.org/C114793014","wikidata":"https://www.wikidata.org/wiki/Q52109","display_name":"Geomorphology","level":1,"score":0.14236795902252197},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.1040906012058258},{"id":"https://openalex.org/C187320778","wikidata":"https://www.wikidata.org/wiki/Q1349130","display_name":"Geotechnical engineering","level":1,"score":0.06636890769004822}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2023.3301153","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3301153","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10201854.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:pure.qub.ac.uk/portal:openaire/13be4f2c-f13f-4217-95ca-be97b620f8b4","is_oa":true,"landing_page_url":"https://pure.qub.ac.uk/en/publications/13be4f2c-f13f-4217-95ca-be97b620f8b4","pdf_url":null,"source":{"id":"https://openalex.org/S4306402319","display_name":"Research Portal (Queen's University Belfast)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I126231945","host_organization_name":"Queen's University Belfast","host_organization_lineage":["https://openalex.org/I126231945"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Nguyen, T-T-H, Vu, D-Q, Mai, S T & Dang, T D 2023, 'Streamflow prediction in the Mekong River Basin using deep neural networks', IEEE Access, vol. 11, pp. 97930 - 97943. https://doi.org/10.1109/ACCESS.2023.3301153","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:doaj.org/article:986ad6ce544844b68db3345498c2c783","is_oa":true,"landing_page_url":"https://doaj.org/article/986ad6ce544844b68db3345498c2c783","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 11, Pp 97930-97943 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3301153","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3301153","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10201854.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":[{"score":0.6100000143051147,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[{"id":"https://openalex.org/G3389542234","display_name":null,"funder_award_id":"EP/X029174/1","funder_id":"https://openalex.org/F4320314731","funder_display_name":"UK Research and Innovation"}],"funders":[{"id":"https://openalex.org/F4320314731","display_name":"UK Research and Innovation","ror":"https://ror.org/001aqnf71"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385489691.pdf","grobid_xml":"https://content.openalex.org/works/W4385489691.grobid-xml"},"referenced_works_count":61,"referenced_works":["https://openalex.org/W77393038","https://openalex.org/W1498247870","https://openalex.org/W1498436455","https://openalex.org/W1836465849","https://openalex.org/W2002147749","https://openalex.org/W2017198208","https://openalex.org/W2019451733","https://openalex.org/W2041475807","https://openalex.org/W2053404909","https://openalex.org/W2058998445","https://openalex.org/W2064675550","https://openalex.org/W2069508080","https://openalex.org/W2086614951","https://openalex.org/W2105146752","https://openalex.org/W2106540451","https://openalex.org/W2107878631","https://openalex.org/W2114649917","https://openalex.org/W2137857192","https://openalex.org/W2163605009","https://openalex.org/W2177959459","https://openalex.org/W2342509993","https://openalex.org/W2503002840","https://openalex.org/W2550265600","https://openalex.org/W2565622834","https://openalex.org/W2620915124","https://openalex.org/W2760466792","https://openalex.org/W2761512871","https://openalex.org/W2887732116","https://openalex.org/W2907976315","https://openalex.org/W2932996526","https://openalex.org/W2945480990","https://openalex.org/W2953521532","https://openalex.org/W2960350072","https://openalex.org/W2995731432","https://openalex.org/W3004343334","https://openalex.org/W3017246359","https://openalex.org/W3028804297","https://openalex.org/W3037098319","https://openalex.org/W3081837890","https://openalex.org/W3082714461","https://openalex.org/W3090316044","https://openalex.org/W3092080886","https://openalex.org/W3127864265","https://openalex.org/W3131011663","https://openalex.org/W3154782929","https://openalex.org/W3158774913","https://openalex.org/W3161245545","https://openalex.org/W3164419852","https://openalex.org/W3169677415","https://openalex.org/W3185375955","https://openalex.org/W3198882086","https://openalex.org/W4220997911","https://openalex.org/W4221044734","https://openalex.org/W4296312073","https://openalex.org/W4385245566","https://openalex.org/W6603123202","https://openalex.org/W6638667902","https://openalex.org/W6677061773","https://openalex.org/W6684191040","https://openalex.org/W6739901393","https://openalex.org/W6790630878"],"related_works":["https://openalex.org/W4400486019","https://openalex.org/W2945987242","https://openalex.org/W3144109107","https://openalex.org/W2157129509","https://openalex.org/W2789353201","https://openalex.org/W2081395060","https://openalex.org/W2933772905","https://openalex.org/W4382394791","https://openalex.org/W2974326667","https://openalex.org/W4399372495"],"abstract_inverted_index":{"In":[0,64],"recent":[1],"years,":[2],"the":[3,10,37,51,61,141,151,157,160,176,186],"Mekong":[4],"River":[5],"Basin":[6],"(MRB),":[7],"one":[8],"of":[9,53,153,162,178],"largest":[11],"river":[12,154],"basins":[13],"in":[14,36,125,140,156],"Southeast":[15],"Asia,":[16],"has":[17,28],"experienced":[18],"severe":[19],"impacts":[20],"from":[21,110,213],"extreme":[22],"droughts":[23],"and":[24,50,85,100,108,128,204],"floods.":[25],"Streamflow":[26],"forecasting":[27],"become":[29],"crucial":[30],"for":[31,122,136,180,190,198],"effective":[32],"risk":[33],"management":[34],"strategies":[35,206],"region.":[38],"However,":[39],"this":[40,65],"task":[41],"presents":[42],"significant":[43],"challenges":[44],"due":[45],"to":[46,87,112,201,215],"rapid":[47],"climate":[48],"changes":[49],"presence":[52],"numerous":[54],"newly":[55],"constructed":[56],"upstream":[57],"dams,":[58],"which":[59,210],"disrupt":[60],"natural":[62],"flow.":[63],"paper,":[66],"we":[67],"develop":[68],"multiple":[69],"deep":[70,146],"learning":[71,147],"models":[72,148,195],"(incl.":[73],"Multi-Layer":[74],"Perceptron":[75],"(MLP),":[76],"Convolutional":[77],"Neural":[78],"Network":[79],"(CNN),":[80],"Long":[81],"short\u2010term":[82],"Memory":[83],"(LSTM),":[84],"Transformer)":[86],"predict":[88],"streamflow":[89,123],"with":[90,175],"different":[91,208],"lead":[92],"time":[93],"forecasts":[94],"based":[95],"on":[96],"observed":[97],"meteorological":[98],"variables":[99],"climatic":[101],"indices":[102],"(i.e.,":[103],"discharge,":[104],"water":[105],"level,":[106],"precipitation,":[107],"temperature)":[109],"1979":[111],"2019.":[113],"The":[114,144,170],"results":[115],"indicate":[116],"that":[117],"LSTM":[118,166],"obtains":[119],"high":[120],"performance":[121],"prediction":[124,182],"both":[126],"dry":[127,142],"wet":[129],"seasons":[130],"while":[131,183],"Transformer":[132],"is":[133],"not":[134],"recommended":[135],"long-term":[137,191],"prediction,":[138],"especially":[139,165],"season.":[143],"proposed":[145,194],"capture":[149],"well":[150],"fluctuation":[152],"flow":[155],"MRB":[158],"during":[159],"period":[161],"high-dam":[163],"development,":[164],"(NSE":[167],"\u2265":[168],"0.8).":[169],"models\u2019":[171],"performances":[172],"are":[173,196],"enhanced":[174],"adding":[177],"temperature":[179],"short-term":[181],"precipitation":[184],"was":[185],"most":[187],"sensitive":[188],"variable":[189],"one.":[192],"Such":[193],"essential":[197],"government":[199],"agencies":[200],"plan":[202],"mitigation":[203],"adaptation":[205],"at":[207],"periods,":[209],"can":[211],"range":[212],"days":[214],"years.":[216]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":9}],"updated_date":"2026-07-27T08:26:11.824852","created_date":"2025-10-10T00:00:00"}