{"id":"https://openalex.org/W4310076268","doi":"https://doi.org/10.1007/s11227-022-04963-w","title":"Union-net: lightweight deep neural network model suitable for small data sets","display_name":"Union-net: lightweight deep neural network model suitable for small data sets","publication_year":2022,"publication_date":"2022-11-25","ids":{"openalex":"https://openalex.org/W4310076268","doi":"https://doi.org/10.1007/s11227-022-04963-w"},"language":"en","primary_location":{"id":"doi:10.1007/s11227-022-04963-w","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11227-022-04963-w","pdf_url":null,"source":{"id":"https://openalex.org/S32326811","display_name":"The Journal of Supercomputing","issn_l":"0920-8542","issn":["0920-8542","1573-0484"],"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":"The Journal of Supercomputing","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/A5102951145","display_name":"Jingyi Zhou","orcid":"https://orcid.org/0000-0002-0119-3583"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jingyi Zhou","raw_affiliation_strings":["Institute of Scientific and Technical Research on Archives, Beijing, 100050, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Scientific and Technical Research on Archives, Beijing, 100050, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100652545","display_name":"Qingfang He","orcid":"https://orcid.org/0000-0001-8765-1487"},"institutions":[{"id":"https://openalex.org/I114234892","display_name":"Beijing Union University","ror":"https://ror.org/01hg31662","country_code":"CN","type":"education","lineage":["https://openalex.org/I114234892"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qingfang He","raw_affiliation_strings":["Institute of Computer Technology, Beijing Union University, Beijing, 100101, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computer Technology, Beijing Union University, Beijing, 100101, China","institution_ids":["https://openalex.org/I114234892"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043707940","display_name":"Guang Cheng","orcid":"https://orcid.org/0000-0001-8642-4362"},"institutions":[{"id":"https://openalex.org/I114234892","display_name":"Beijing Union University","ror":"https://ror.org/01hg31662","country_code":"CN","type":"education","lineage":["https://openalex.org/I114234892"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guang Cheng","raw_affiliation_strings":["Institute of Computer Technology, Beijing Union University, Beijing, 100101, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computer Technology, Beijing Union University, Beijing, 100101, China","institution_ids":["https://openalex.org/I114234892"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015541743","display_name":"Zhiying Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I114234892","display_name":"Beijing Union University","ror":"https://ror.org/01hg31662","country_code":"CN","type":"education","lineage":["https://openalex.org/I114234892"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhiying Lin","raw_affiliation_strings":["Institute of Computer Technology, Beijing Union University, Beijing, 100101, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computer Technology, Beijing Union University, Beijing, 100101, China","institution_ids":["https://openalex.org/I114234892"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5015541743","https://openalex.org/A5100652545"],"corresponding_institution_ids":["https://openalex.org/I114234892"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":null,"fwci":0.9747,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.74806457,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"79","issue":"7","first_page":"7228","last_page":"7243"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9987999796867371,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9987999796867371,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9977999925613403,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.995199978351593,"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/computer-science","display_name":"Computer science","score":0.8813505172729492},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5987881422042847},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5902900695800781},{"id":"https://openalex.org/keywords/net","display_name":"Net (polyhedron)","score":0.5835285782814026},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5640166401863098},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4821126461029053},{"id":"https://openalex.org/keywords/small-data","display_name":"Small data","score":0.4750894606113434},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4750288128852844},{"id":"https://openalex.org/keywords/upload","display_name":"Upload","score":0.46576404571533203},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.43354836106300354},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.41919511556625366},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39796537160873413}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8813505172729492},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5987881422042847},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5902900695800781},{"id":"https://openalex.org/C14166107","wikidata":"https://www.wikidata.org/wiki/Q253829","display_name":"Net (polyhedron)","level":2,"score":0.5835285782814026},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5640166401863098},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4821126461029053},{"id":"https://openalex.org/C2779280203","wikidata":"https://www.wikidata.org/wiki/Q17121211","display_name":"Small data","level":2,"score":0.4750894606113434},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4750288128852844},{"id":"https://openalex.org/C71901391","wikidata":"https://www.wikidata.org/wiki/Q7126699","display_name":"Upload","level":2,"score":0.46576404571533203},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43354836106300354},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.41919511556625366},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39796537160873413},{"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/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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11227-022-04963-w","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11227-022-04963-w","pdf_url":null,"source":{"id":"https://openalex.org/S32326811","display_name":"The Journal of Supercomputing","issn_l":"0920-8542","issn":["0920-8542","1573-0484"],"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":"The Journal of Supercomputing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","score":0.4099999964237213,"id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W569478347","https://openalex.org/W2096026428","https://openalex.org/W2097117768","https://openalex.org/W2108598243","https://openalex.org/W2112796928","https://openalex.org/W2145607950","https://openalex.org/W2194775991","https://openalex.org/W2531409750","https://openalex.org/W2533598788","https://openalex.org/W2736761179","https://openalex.org/W2963163009","https://openalex.org/W2963446712","https://openalex.org/W2964350391","https://openalex.org/W3010290582","https://openalex.org/W3010414725","https://openalex.org/W3042578835","https://openalex.org/W3159778524","https://openalex.org/W3179148101","https://openalex.org/W4223940990","https://openalex.org/W4295276204"],"related_works":["https://openalex.org/W2944823289","https://openalex.org/W3037018281","https://openalex.org/W2972592048","https://openalex.org/W2358319515","https://openalex.org/W4321854979","https://openalex.org/W2003209439","https://openalex.org/W2497626292","https://openalex.org/W4312214821","https://openalex.org/W4361862506","https://openalex.org/W2390344072"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2022-11-30T00:00:00"}
