{"id":"https://openalex.org/W4413349735","doi":"https://doi.org/10.1109/taes.2025.3601096","title":"Deep Neural Networks Based Hypersonic Vehicle Reentry Impact Point Prediction With Fixed-Length Lightweight Training Data","display_name":"Deep Neural Networks Based Hypersonic Vehicle Reentry Impact Point Prediction With Fixed-Length Lightweight Training Data","publication_year":2025,"publication_date":"2025-08-20","ids":{"openalex":"https://openalex.org/W4413349735","doi":"https://doi.org/10.1109/taes.2025.3601096"},"language":"en","primary_location":{"id":"doi:10.1109/taes.2025.3601096","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2025.3601096","pdf_url":null,"source":{"id":"https://openalex.org/S193624734","display_name":"IEEE Transactions on Aerospace and Electronic Systems","issn_l":"0018-9251","issn":["0018-9251","1557-9603","2371-9877"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Aerospace and Electronic Systems","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":null,"display_name":"Zhenyu Gong","orcid":"https://orcid.org/0009-0001-1413-0039"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenyu Gong","raw_affiliation_strings":["Nanjing University of Aeronautics and Astronautics, Nanjing, China"],"raw_orcid":"https://orcid.org/0009-0001-1413-0039","affiliations":[{"raw_affiliation_string":"Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109059871","display_name":"Jianhui Yu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jianhui Yu","raw_affiliation_strings":["Beijing Institute of Tracking and Telecommunications Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Tracking and Telecommunications Technology, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069491104","display_name":"Xu Liu","orcid":"https://orcid.org/0000-0003-0317-5976"},"institutions":[{"id":"https://openalex.org/I141649914","display_name":"Nanchang University","ror":"https://ror.org/042v6xz23","country_code":"CN","type":"education","lineage":["https://openalex.org/I141649914"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Liu","raw_affiliation_strings":["Nanchang University, Nanchang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanchang University, Nanchang, China","institution_ids":["https://openalex.org/I141649914"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054697474","display_name":"Lei Xie","orcid":"https://orcid.org/0000-0002-7669-1886"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Xie","raw_affiliation_strings":["Nanjing University of Aeronautics and Astronautics, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100415892","display_name":"Shuang Li","orcid":"https://orcid.org/0000-0001-9142-5036"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuang Li","raw_affiliation_strings":["Nanjing University of Aeronautics and Astronautics, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-9142-5036","affiliations":[{"raw_affiliation_string":"Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.6187,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.94440887,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"61","issue":"6","first_page":"17029","last_page":"17040"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11012","display_name":"Gas Dynamics and Kinetic Theory","score":0.9923999905586243,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11012","display_name":"Gas Dynamics and Kinetic Theory","score":0.9923999905586243,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10597","display_name":"Nuclear reactor physics and engineering","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12560","display_name":"Nuclear Engineering Thermal-Hydraulics","score":0.9904000163078308,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/reentry","display_name":"Reentry","score":0.8640471696853638},{"id":"https://openalex.org/keywords/hypersonic-speed","display_name":"Hypersonic speed","score":0.6432551145553589},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6328824162483215},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5166033506393433},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.5107729434967041},{"id":"https://openalex.org/keywords/aerospace-engineering","display_name":"Aerospace engineering","score":0.42481833696365356},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3590537905693054},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.32256436347961426},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3001256585121155},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10359787940979004},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.09101444482803345}],"concepts":[{"id":"https://openalex.org/C2777720157","wikidata":"https://www.wikidata.org/wiki/Q7306947","display_name":"Reentry","level":2,"score":0.8640471696853638},{"id":"https://openalex.org/C122824865","wikidata":"https://www.wikidata.org/wiki/Q830787","display_name":"Hypersonic speed","level":2,"score":0.6432551145553589},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6328824162483215},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5166033506393433},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.5107729434967041},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.42481833696365356},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3590537905693054},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.32256436347961426},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3001256585121155},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10359787940979004},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.09101444482803345},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taes.2025.3601096","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2025.3601096","pdf_url":null,"source":{"id":"https://openalex.org/S193624734","display_name":"IEEE Transactions on Aerospace and Electronic Systems","issn_l":"0018-9251","issn":["0018-9251","1557-9603","2371-9877"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Aerospace and Electronic Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G301509081","display_name":null,"funder_award_id":"61273051","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G930878660","display_name":null,"funder_award_id":"11672126","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1965628556","https://openalex.org/W1988790447","https://openalex.org/W2019928693","https://openalex.org/W2057411970","https://openalex.org/W2059665194","https://openalex.org/W2089406672","https://openalex.org/W2100495367","https://openalex.org/W2101310435","https://openalex.org/W2120717581","https://openalex.org/W2127947487","https://openalex.org/W2155714974","https://openalex.org/W2156883932","https://openalex.org/W2163933450","https://openalex.org/W2169345425","https://openalex.org/W2775819985","https://openalex.org/W2803565927","https://openalex.org/W2911964244","https://openalex.org/W2944626094","https://openalex.org/W2944644335","https://openalex.org/W2958261085","https://openalex.org/W3015521640","https://openalex.org/W3044262859","https://openalex.org/W4239510810","https://openalex.org/W4282826253","https://openalex.org/W4292674070","https://openalex.org/W4315641945","https://openalex.org/W4360993899","https://openalex.org/W4391128415","https://openalex.org/W4393234504","https://openalex.org/W4406689659","https://openalex.org/W4408782879"],"related_works":["https://openalex.org/W2313318943","https://openalex.org/W2055807652","https://openalex.org/W3198013117","https://openalex.org/W13587177","https://openalex.org/W2357947634","https://openalex.org/W4302310203","https://openalex.org/W3004736660","https://openalex.org/W2779958778","https://openalex.org/W3157728716","https://openalex.org/W2009254629"],"abstract_inverted_index":{"Hypersonic":[0],"vehicles":[1],"play":[2],"a":[3,87,97,110,142,219],"key":[4,73],"role":[5],"in":[6,36,203],"aerospace":[7],"applications":[8],"with":[9,126,212],"their":[10],"speed,":[11],"maneuverability,":[12],"and":[13,39,48,81,96,152,187],"stealth.":[14],"Accurate":[15],"Impact":[16],"point":[17,28,62,129,176,199,215],"prediction":[18,29,63,130,177,200,216],"is":[19,94,100,118,156,179],"crucial":[20],"for":[21,91,105],"improving":[22],"system":[23],"performance.":[24],"However,":[25],"existing":[26],"impact":[27,61,128,175,198,210,214],"networks":[30],"face":[31],"challenges":[32],"such":[33,75],"as":[34,76,102,131],"redundancy":[35],"input-output":[37],"pairs":[38],"fixed":[40],"input":[41],"lengths,":[42],"which":[43,158],"cause":[44],"weak":[45],"feature":[46,84,153],"correlations":[47],"data":[49,69,144,164],"wastage.":[50],"In":[51],"response":[52],"to":[53,165],"these":[54],"challenges,":[55],"this":[56,204],"paper":[57,205],"proposes":[58],"an":[59,174],"intelligent":[60,197],"(IPP)":[64],"method":[65,113,146,201],"based":[66,114,147,181],"on":[67,72,115,148,182],"dynamic":[68,143],"processing,":[70],"focusing":[71],"issues":[74],"flight":[77,121],"state":[78,122],"selection":[79],"optimization":[80],"time":[82,149],"series":[83],"extraction.":[85],"First,":[86],"three-degree-of-freedom":[88],"re-entry":[89],"model":[90],"the":[92,103,127,132,167,196,209,213],"aircraft":[93],"established,":[95],"trajectory":[98],"database":[99],"constructed":[101,180],"basis":[104],"neural":[106,133],"network":[107,111,134,178],"training.":[108],"Then,":[109],"mapping":[112],"correlation":[116],"analysis":[117],"proposed,":[119],"selecting":[120],"variables":[123],"highly":[124],"correlated":[125],"input,":[135],"thus":[136],"reducing":[137],"redundant":[138],"information.":[139,172],"Following":[140],"this,":[141],"processing":[145],"decay":[150],"factors":[151],"change":[154],"rates":[155],"introduced,":[157],"can":[159,206],"adaptively":[160],"select":[161],"important":[162],"time-step":[163],"enhance":[166],"effective":[168],"use":[169],"of":[170,221],"temporal":[171],"Finally,":[173],"Convolutional":[183],"Neural":[184],"Networks":[185],"(CNN)":[186],"Long":[188],"Short-Term":[189],"Memory":[190],"(LSTM).":[191],"Simulation":[192],"results":[193],"show":[194],"that":[195],"proposed":[202],"accurately":[207],"predict":[208],"point,":[211],"error":[217],"within":[218],"range":[220],"several":[222],"kilometers.":[223]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-07-17T09:13:05.818461","created_date":"2025-10-10T00:00:00"}