{"id":"https://openalex.org/W4377862283","doi":"https://doi.org/10.1155/2023/9523230","title":"Spatiotemporal Self\u2010Attention\u2010Based LSTNet for Multivariate Time Series Prediction","display_name":"Spatiotemporal Self\u2010Attention\u2010Based LSTNet for Multivariate Time Series Prediction","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4377862283","doi":"https://doi.org/10.1155/2023/9523230"},"language":"en","primary_location":{"id":"doi:10.1155/2023/9523230","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2023/9523230","pdf_url":"https://downloads.hindawi.com/journals/ijis/2023/9523230.pdf","source":{"id":"https://openalex.org/S57950554","display_name":"International Journal of Intelligent Systems","issn_l":"0884-8173","issn":["0884-8173","1098-111X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/ijis/2023/9523230.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042958093","display_name":"Dezheng Wang","orcid":"https://orcid.org/0000-0002-6449-1043"},"institutions":[{"id":"https://openalex.org/I4210090971","display_name":"Southeast University","ror":"https://ror.org/00cf0ab87","country_code":"BD","type":"education","lineage":["https://openalex.org/I4210090971"]},{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["BD","CN"],"is_corresponding":false,"raw_author_name":"Dezheng Wang","raw_affiliation_strings":["School of Automation, Southeast University, Nanjing 210096","School of Automation, Southeast University, Nanjing 210096, China"],"raw_orcid":"https://orcid.org/0000-0002-6449-1043","affiliations":[{"raw_affiliation_string":"School of Automation, Southeast University, Nanjing 210096","institution_ids":["https://openalex.org/I4210090971"]},{"raw_affiliation_string":"School of Automation, Southeast University, Nanjing 210096, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065369910","display_name":"Congyan Chen","orcid":"https://orcid.org/0000-0001-5341-124X"},"institutions":[{"id":"https://openalex.org/I4210090971","display_name":"Southeast University","ror":"https://ror.org/00cf0ab87","country_code":"BD","type":"education","lineage":["https://openalex.org/I4210090971"]},{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["BD","CN"],"is_corresponding":true,"raw_author_name":"Congyan Chen","raw_affiliation_strings":["School of Automation, Southeast University, Nanjing 210096","School of Automation, Southeast University, Nanjing 210096, China"],"raw_orcid":"https://orcid.org/0000-0001-5341-124X","affiliations":[{"raw_affiliation_string":"School of Automation, Southeast University, Nanjing 210096","institution_ids":["https://openalex.org/I4210090971"]},{"raw_affiliation_string":"School of Automation, Southeast University, Nanjing 210096, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5065369910"],"corresponding_institution_ids":["https://openalex.org/I4210090971","https://openalex.org/I76569877"],"apc_list":{"value":2500,"currency":"USD","value_usd":2500},"apc_paid":{"value":2500,"currency":"USD","value_usd":2500},"fwci":5.5649,"has_fulltext":true,"cited_by_count":29,"citation_normalized_percentile":{"value":0.96973073,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"2023","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.9976000189781189,"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/T11918","display_name":"Forecasting Techniques and Applications","score":0.9836000204086304,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.8823306560516357},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7720751762390137},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.7011374235153198},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.589021623134613},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5524930357933044},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5371755957603455},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5060500502586365},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4883803725242615},{"id":"https://openalex.org/keywords/multivariate-analysis","display_name":"Multivariate analysis","score":0.4647265076637268},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.4300779402256012},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3687843680381775}],"concepts":[{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.8823306560516357},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7720751762390137},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.7011374235153198},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.589021623134613},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5524930357933044},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5371755957603455},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5060500502586365},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4883803725242615},{"id":"https://openalex.org/C38180746","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate analysis","level":2,"score":0.4647265076637268},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.4300779402256012},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3687843680381775},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1155/2023/9523230","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2023/9523230","pdf_url":"https://downloads.hindawi.com/journals/ijis/2023/9523230.pdf","source":{"id":"https://openalex.org/S57950554","display_name":"International Journal of Intelligent Systems","issn_l":"0884-8173","issn":["0884-8173","1098-111X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Intelligent Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1155/2023/9523230","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2023/9523230","pdf_url":"https://downloads.hindawi.com/journals/ijis/2023/9523230.pdf","source":{"id":"https://openalex.org/S57950554","display_name":"International Journal of Intelligent Systems","issn_l":"0884-8173","issn":["0884-8173","1098-111X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2831864018","display_name":null,"funder_award_id":"2020xzky05","funder_id":"https://openalex.org/F4320324805","funder_display_name":"Chongqing Municipal Education Commission"},{"id":"https://openalex.org/G4044525225","display_name":null,"funder_award_id":"JCYJ20210324135006016","funder_id":"https://openalex.org/F4320324805","funder_display_name":"Chongqing Municipal Education Commission"},{"id":"https://openalex.org/G4049432719","display_name":null,"funder_award_id":"cstc2020jcyj","funder_id":"https://openalex.org/F4320324805","funder_display_name":"Chongqing Municipal Education Commission"},{"id":"https://openalex.org/G4919354748","display_name":null,"funder_award_id":"KJZD-K202201901","funder_id":"https://openalex.org/F4320324805","funder_display_name":"Chongqing Municipal Education Commission"},{"id":"https://openalex.org/G5409648159","display_name":null,"funder_award_id":"2022A1515010345","funder_id":"https://openalex.org/F4320324805","funder_display_name":"Chongqing Municipal Education Commission"},{"id":"https://openalex.org/G6179423508","display_name":null,"funder_award_id":"2022A1515010345","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G695691055","display_name":null,"funder_award_id":"cstc2020jcyj","funder_id":"https://openalex.org/F4320323172","funder_display_name":"Natural Science Foundation of Chongqing"},{"id":"https://openalex.org/G750639786","display_name":null,"funder_award_id":"KJQN202101904","funder_id":"https://openalex.org/F4320324805","funder_display_name":"Chongqing Municipal Education Commission"},{"id":"https://openalex.org/G8333932648","display_name":null,"funder_award_id":"cstc2020jcyj-msxmX0666","funder_id":"https://openalex.org/F4320324805","funder_display_name":"Chongqing Municipal Education Commission"},{"id":"https://openalex.org/G8367678902","display_name":null,"funder_award_id":"JCYJ20210324135006016","funder_id":"https://openalex.org/F4320329791","funder_display_name":"Shenzhen Fundamental Research Program"},{"id":"https://openalex.org/G8788201079","display_name":null,"funder_award_id":"cstc2020jcyj-msxmX0666","funder_id":"https://openalex.org/F4320323172","funder_display_name":"Natural Science Foundation of Chongqing"},{"id":"https://openalex.org/G8834183919","display_name":null,"funder_award_id":"KJQN202201109","funder_id":"https://openalex.org/F4320324805","funder_display_name":"Chongqing Municipal Education Commission"}],"funders":[{"id":"https://openalex.org/F4320323172","display_name":"Natural Science Foundation of Chongqing","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324805","display_name":"Chongqing Municipal Education Commission","ror":"https://ror.org/031nm5713"},{"id":"https://openalex.org/F4320329791","display_name":"Shenzhen Fundamental Research Program","ror":null},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4377862283.pdf"},"referenced_works_count":57,"referenced_works":["https://openalex.org/W1485009520","https://openalex.org/W1522301498","https://openalex.org/W1591801644","https://openalex.org/W1924770834","https://openalex.org/W2076170369","https://openalex.org/W2107878631","https://openalex.org/W2133564696","https://openalex.org/W2396600439","https://openalex.org/W2550143307","https://openalex.org/W2604847698","https://openalex.org/W2613328025","https://openalex.org/W2758567761","https://openalex.org/W2793740190","https://openalex.org/W2894821558","https://openalex.org/W2902455138","https://openalex.org/W2910401125","https://openalex.org/W2952042565","https://openalex.org/W2953352227","https://openalex.org/W2963311488","https://openalex.org/W2982135131","https://openalex.org/W2997848713","https://openalex.org/W3004401633","https://openalex.org/W3005448318","https://openalex.org/W3007066689","https://openalex.org/W3008235510","https://openalex.org/W3015468748","https://openalex.org/W3017116930","https://openalex.org/W3019433526","https://openalex.org/W3022643593","https://openalex.org/W3022787740","https://openalex.org/W3031696893","https://openalex.org/W3041929891","https://openalex.org/W3043084043","https://openalex.org/W3095603781","https://openalex.org/W3111082827","https://openalex.org/W3119644826","https://openalex.org/W3120019038","https://openalex.org/W3125658501","https://openalex.org/W3132782787","https://openalex.org/W3133485307","https://openalex.org/W3136018460","https://openalex.org/W3136511109","https://openalex.org/W3143418053","https://openalex.org/W3158498480","https://openalex.org/W3177318507","https://openalex.org/W3193266292","https://openalex.org/W3194074702","https://openalex.org/W3196636665","https://openalex.org/W3198794504","https://openalex.org/W4220672066","https://openalex.org/W4255371575","https://openalex.org/W4285197869","https://openalex.org/W4292387463","https://openalex.org/W4293146286","https://openalex.org/W4312226181","https://openalex.org/W4385245566","https://openalex.org/W6739901393"],"related_works":["https://openalex.org/W2406638334","https://openalex.org/W40745829","https://openalex.org/W1978357124","https://openalex.org/W1578824628","https://openalex.org/W2032728545","https://openalex.org/W1570805059","https://openalex.org/W4250754046","https://openalex.org/W4318262572","https://openalex.org/W2036849593","https://openalex.org/W1978174651"],"abstract_inverted_index":{"Multivariate":[0],"time":[1,35,42,72,95,134,177],"series":[2,36,43,73,135],"prediction":[3],"is":[4,9,69,100,111,125,170],"a":[5,63,70,121,171],"critical":[6],"problem":[7],"that":[8,155],"encountered":[10],"in":[11,53],"many":[12],"fields,":[13],"and":[14,50,84],"recurrent":[15],"neural":[16],"network":[17],"(RNN)\u2010based":[18],"approaches":[19,31],"have":[20],"been":[21],"widely":[22],"used":[23,101],"to":[24,47,87,102,113,127,131],"address":[25,57],"this":[26,58,60],"problem.":[27],"However,":[28],"traditional":[29],"RNN\u2010based":[30],"for":[32,174],"predicting":[33,175],"multivariate":[34,71,133,176],"are":[37,44,145],"still":[38],"facing":[39],"challenges,":[40],"as":[41],"often":[45],"related":[46],"each":[48],"other":[49],"historical":[51,118],"observations":[52],"real\u2010world":[54],"applications.":[55],"To":[56,137],"limitation,":[59],"paper":[61],"proposes":[62],"spatiotemporal":[64,167],"self\u2010attention":[65,81,99],"mechanism\u2010based":[66],"LSTNet,":[67],"which":[68],"forecasting":[74],"model.":[75],"The":[76,97,151],"proposed":[77,140,157,166],"model":[78],"leverages":[79],"two":[80],"strategies,":[82],"spatial":[83,98],"temporal":[85,109],"self\u2010attention,":[86],"focus":[88],"on":[89,147],"the":[90,104,115,128,139,156,165],"most":[91],"relevant":[92],"information":[93],"among":[94,117],"series.":[96,178],"discover":[103],"dependences":[105],"between":[106],"variables,":[107],"while":[108],"attention":[110],"employed":[112],"capture":[114],"relationship":[116],"observations.":[119],"Moreover,":[120],"standard":[122],"deviation":[123],"term":[124],"added":[126],"objective":[129],"function":[130],"track":[132],"effectively.":[136],"evaluate":[138],"method\u2019s":[141],"performance,":[142],"extensive":[143],"experiments":[144],"conducted":[146],"multiple":[148],"benchmarked":[149],"datasets.":[150],"experimental":[152],"results":[153],"show":[154],"method":[158],"outperforms":[159],"several":[160],"baseline":[161],"methods":[162],"significantly.":[163],"Therefore,":[164],"self\u2010attention\u2010based":[168],"LSTNet":[169],"promising":[172],"approach":[173]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
