{"id":"https://openalex.org/W4389933100","doi":"https://doi.org/10.1016/j.engappai.2023.107709","title":"A novel attention-enhanced network for image super-resolution","display_name":"A novel attention-enhanced network for image super-resolution","publication_year":2023,"publication_date":"2023-12-18","ids":{"openalex":"https://openalex.org/W4389933100","doi":"https://doi.org/10.1016/j.engappai.2023.107709"},"language":"en","primary_location":{"id":"doi:10.1016/j.engappai.2023.107709","doi":"https://doi.org/10.1016/j.engappai.2023.107709","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.engappai.2023.107709","pdf_url":null,"source":{"id":"https://openalex.org/S900972176","display_name":"Engineering Applications of Artificial Intelligence","issn_l":"0952-1976","issn":["0952-1976","1873-6769"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-c","cwts-core","dongbi-d","jufo-2","ki-jl-1","norway-1","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Engineering Applications of Artificial Intelligence","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"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/A5101281314","display_name":"Yangyu Bo","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I90090648","display_name":"Shijiazhuang Tiedao University","ror":"https://ror.org/022e9e065","country_code":"CN","type":"education","lineage":["https://openalex.org/I90090648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yangyu Bo","raw_affiliation_strings":["School of Information Science and Technology, Shijiazhaung Tiedao University, Hebei 050043, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Shijiazhaung Tiedao University, Hebei 050043, China","institution_ids":["https://openalex.org/I90090648"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067616657","display_name":"Yongliang Wu","orcid":"https://orcid.org/0000-0001-7177-3623","observed_orcids":["https://orcid.org/0000-0001-7177-3623"]},"institutions":[{"id":"https://openalex.org/I90090648","display_name":"Shijiazhuang Tiedao University","ror":"https://ror.org/022e9e065","country_code":"CN","type":"education","lineage":["https://openalex.org/I90090648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongliang Wu","raw_affiliation_strings":["School of Information Science and Technology, Shijiazhaung Tiedao University, Hebei 050043, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Shijiazhaung Tiedao University, Hebei 050043, China","institution_ids":["https://openalex.org/I90090648"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100633774","display_name":"Xuejun Wang","orcid":"https://orcid.org/0000-0002-0399-6806","observed_orcids":["https://orcid.org/0000-0002-0399-6806"]},"institutions":[{"id":"https://openalex.org/I90090648","display_name":"Shijiazhuang Tiedao University","ror":"https://ror.org/022e9e065","country_code":"CN","type":"education","lineage":["https://openalex.org/I90090648"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xuejun Wang","raw_affiliation_strings":["School of Information Science and Technology, Shijiazhaung Tiedao University, Hebei 050043, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Shijiazhaung Tiedao University, Hebei 050043, China","institution_ids":["https://openalex.org/I90090648"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100633774"],"corresponding_institution_ids":["https://openalex.org/I90090648"],"apc_list":{"value":3170,"currency":"USD","value_usd":3170},"apc_paid":null,"fwci":0.8841,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.70294112,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":"130","issue":null,"first_page":"107709","last_page":"107709"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10036","display_name":"Advanced Neural Network Applications","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11019","display_name":"Image Enhancement Techniques","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/image-super-resolution","display_name":"image super-resolution","score":1.0},{"id":"https://openalex.org/keywords/attention-mechanism","display_name":"attention mechanism","score":0.9940000176429749},{"id":"https://openalex.org/keywords/large-kernel-convolution","display_name":"large kernel convolution","score":0.7739999890327454},{"id":"https://openalex.org/keywords/channel-attention","display_name":"channel attention","score":0.6840000152587891},{"id":"https://openalex.org/keywords/multi-scale-feature-aggregation","display_name":"multi-scale feature aggregation","score":0.9620000123977661},{"id":"https://openalex.org/keywords/long-range-modeling","display_name":"long-range modeling","score":0.7540000081062317},{"id":"https://openalex.org/keywords/local-and-global-information","display_name":"local and global information","score":0.5870000123977661}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8948471546173096},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.7512202858924866},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.7114647626876831},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6812125444412231},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5360097885131836},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5111079812049866},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.5103453993797302},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4951113760471344},{"id":"https://openalex.org/C2993807640","wikidata":"https://www.wikidata.org/wiki/Q103709453","display_name":"Attention network","level":2,"score":0.4657507836818695},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.438149094581604},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4365845322608948},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4234096109867096},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.4101325273513794},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37262871861457825},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.25044721364974976},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.engappai.2023.107709","doi":"https://doi.org/10.1016/j.engappai.2023.107709","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.engappai.2023.107709","pdf_url":null,"source":{"id":"https://openalex.org/S900972176","display_name":"Engineering Applications of Artificial Intelligence","issn_l":"0952-1976","issn":["0952-1976","1873-6769"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-c","cwts-core","dongbi-d","jufo-2","ki-jl-1","norway-1","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Engineering Applications of Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"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":57,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W1930824406","https://openalex.org/W2047920195","https://openalex.org/W2121927366","https://openalex.org/W2133665775","https://openalex.org/W2214802144","https://openalex.org/W2242218935","https://openalex.org/W2503339013","https://openalex.org/W2607041014","https://openalex.org/W2735224642","https://openalex.org/W2741137940","https://openalex.org/W2747898905","https://openalex.org/W2758741657","https://openalex.org/W2767850900","https://openalex.org/W2790610275","https://openalex.org/W2866634454","https://openalex.org/W2884585870","https://openalex.org/W2887695188","https://openalex.org/W2891158090","https://openalex.org/W2895598217","https://openalex.org/W2912268344","https://openalex.org/W2963610452","https://openalex.org/W2964101377","https://openalex.org/W2976718572","https://openalex.org/W2982141723","https://openalex.org/W3032400974","https://openalex.org/W3034247386","https://openalex.org/W3094502228","https://openalex.org/W3096739052","https://openalex.org/W3102020262","https://openalex.org/W3129817135","https://openalex.org/W3133953507","https://openalex.org/W3135592580","https://openalex.org/W3170026688","https://openalex.org/W3171125843","https://openalex.org/W3174531399","https://openalex.org/W3175515048","https://openalex.org/W3206130237","https://openalex.org/W3207918547","https://openalex.org/W4205841215","https://openalex.org/W4214540501","https://openalex.org/W4225576932","https://openalex.org/W4226068675","https://openalex.org/W4226226289","https://openalex.org/W4242177601","https://openalex.org/W4280491778","https://openalex.org/W4281696804","https://openalex.org/W4312812783","https://openalex.org/W4312938066","https://openalex.org/W4323928991","https://openalex.org/W4385346076","https://openalex.org/W4386083034","https://openalex.org/W4388407789","https://openalex.org/W6638194035","https://openalex.org/W6809468216","https://openalex.org/W6810938606","https://openalex.org/W7039692332"],"related_works":["https://openalex.org/W7133321739","https://openalex.org/W3157854950","https://openalex.org/W3118700258","https://openalex.org/W3168709512","https://openalex.org/W3018586778","https://openalex.org/W3152626008","https://openalex.org/W4229371467","https://openalex.org/W2941812465","https://openalex.org/W4320901940","https://openalex.org/W3197393208"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4}],"updated_date":"2026-10-22T09:42:04.148104","created_date":"2023-12-20T00:00:00"}