{"id":"https://openalex.org/W2805817603","doi":"https://doi.org/10.1007/s10723-018-9444-4","title":"Residual Recurrent Highway Networks for Learning Deep Sequence Prediction Models","display_name":"Residual Recurrent Highway Networks for Learning Deep Sequence Prediction Models","publication_year":2018,"publication_date":"2018-06-06","ids":{"openalex":"https://openalex.org/W2805817603","doi":"https://doi.org/10.1007/s10723-018-9444-4","mag":"2805817603"},"language":"en","primary_location":{"id":"doi:10.1007/s10723-018-9444-4","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10723-018-9444-4","pdf_url":null,"source":{"id":"https://openalex.org/S140218187","display_name":"Journal of Grid Computing","issn_l":"1570-7873","issn":["1570-7873","1572-9184"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Grid Computing","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/A5054034369","display_name":"Tehseen Zia","orcid":"https://orcid.org/0000-0001-8176-3373"},"institutions":[{"id":"https://openalex.org/I16076960","display_name":"COMSATS University Islamabad","ror":"https://ror.org/00nqqvk19","country_code":"PK","type":"education","lineage":["https://openalex.org/I16076960"]}],"countries":["PK"],"is_corresponding":true,"raw_author_name":"Tehseen Zia","raw_affiliation_strings":["Comsats Institute of Information Technology, Islamabad, Pakistan"],"raw_orcid":"https://orcid.org/0000-0001-8176-3373","affiliations":[{"raw_affiliation_string":"Comsats Institute of Information Technology, Islamabad, Pakistan","institution_ids":["https://openalex.org/I16076960"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011174750","display_name":"Saad Razzaq","orcid":"https://orcid.org/0000-0003-2940-0836"},"institutions":[{"id":"https://openalex.org/I160968435","display_name":"University of Sargodha","ror":"https://ror.org/0086rpr26","country_code":"PK","type":"education","lineage":["https://openalex.org/I160968435"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Saad Razzaq","raw_affiliation_strings":["University of Sargodha, Sargodha, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Sargodha, Sargodha, Pakistan","institution_ids":["https://openalex.org/I160968435"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5054034369"],"corresponding_institution_ids":["https://openalex.org/I16076960"],"apc_list":{"value":3490,"currency":"USD","value_usd":3490},"apc_paid":null,"fwci":1.853,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.88775133,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"18","issue":"1","first_page":"169","last_page":"176"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9995999932289124,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9995999932289124,"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/T10028","display_name":"Topic Modeling","score":0.9994999766349792,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9993000030517578,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/perplexity","display_name":"Perplexity","score":0.8570202589035034},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8348656892776489},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.8065944910049438},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7837415933609009},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.778839111328125},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6766213178634644},{"id":"https://openalex.org/keywords/treebank","display_name":"Treebank","score":0.6757727861404419},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.48886555433273315},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4795253276824951},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.45110878348350525},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.44954627752304077},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.4445186257362366},{"id":"https://openalex.org/keywords/network-architecture","display_name":"Network architecture","score":0.43594563007354736},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4290335774421692},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.12486478686332703}],"concepts":[{"id":"https://openalex.org/C100279451","wikidata":"https://www.wikidata.org/wiki/Q372193","display_name":"Perplexity","level":3,"score":0.8570202589035034},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8348656892776489},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.8065944910049438},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7837415933609009},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.778839111328125},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6766213178634644},{"id":"https://openalex.org/C206134035","wikidata":"https://www.wikidata.org/wiki/Q811525","display_name":"Treebank","level":3,"score":0.6757727861404419},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.48886555433273315},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4795253276824951},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45110878348350525},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.44954627752304077},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.4445186257362366},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.43594563007354736},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4290335774421692},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.12486478686332703},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"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:10.1007/s10723-018-9444-4","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10723-018-9444-4","pdf_url":null,"source":{"id":"https://openalex.org/S140218187","display_name":"Journal of Grid Computing","issn_l":"1570-7873","issn":["1570-7873","1572-9184"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Grid Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W581956982","https://openalex.org/W1499864241","https://openalex.org/W1600744878","https://openalex.org/W1632114991","https://openalex.org/W1810943226","https://openalex.org/W1815076433","https://openalex.org/W1889624880","https://openalex.org/W1924770834","https://openalex.org/W1938755728","https://openalex.org/W1950788856","https://openalex.org/W1951216520","https://openalex.org/W2036317923","https://openalex.org/W2064675550","https://openalex.org/W2099257174","https://openalex.org/W2122585011","https://openalex.org/W2130942839","https://openalex.org/W2133564696","https://openalex.org/W2143612262","https://openalex.org/W2150355110","https://openalex.org/W2153579005","https://openalex.org/W2160815625","https://openalex.org/W2170942820","https://openalex.org/W2194775991","https://openalex.org/W2293634267","https://openalex.org/W2327501763","https://openalex.org/W2473934411","https://openalex.org/W2510842514","https://openalex.org/W2528388179","https://openalex.org/W2564089970","https://openalex.org/W2593887162","https://openalex.org/W2682975603","https://openalex.org/W2751361084","https://openalex.org/W2755150883","https://openalex.org/W2767017507","https://openalex.org/W2807985048","https://openalex.org/W2919115771","https://openalex.org/W2950577311","https://openalex.org/W2951559648","https://openalex.org/W2952276042","https://openalex.org/W2953061907","https://openalex.org/W2962883855","https://openalex.org/W2963047498","https://openalex.org/W2963843052","https://openalex.org/W2963917928","https://openalex.org/W2964084166","https://openalex.org/W3038058348","https://openalex.org/W6604896550","https://openalex.org/W6605946209","https://openalex.org/W6743198006","https://openalex.org/W6835084043"],"related_works":["https://openalex.org/W4301800915","https://openalex.org/W2739034105","https://openalex.org/W2963839582","https://openalex.org/W4299838440","https://openalex.org/W2169518243","https://openalex.org/W2252095989","https://openalex.org/W4322096525","https://openalex.org/W2964047924","https://openalex.org/W2743945814","https://openalex.org/W2962832505"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
