{"id":"https://openalex.org/W2306359932","doi":"https://doi.org/10.1007/s10586-016-0551-3","title":"RETRACTED ARTICLE: The model for improving big data sub-image retrieval performance using scalable vocabulary tree based on predictive clustering","display_name":"RETRACTED ARTICLE: The model for improving big data sub-image retrieval performance using scalable vocabulary tree based on predictive clustering","publication_year":2016,"publication_date":"2016-03-21","ids":{"openalex":"https://openalex.org/W2306359932","doi":"https://doi.org/10.1007/s10586-016-0551-3","mag":"2306359932"},"language":"en","primary_location":{"id":"doi:10.1007/s10586-016-0551-3","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10586-016-0551-3","pdf_url":null,"source":{"id":"https://openalex.org/S106148199","display_name":"Cluster Computing","issn_l":"1386-7857","issn":["1386-7857","1573-7543"],"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":"Cluster 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/A5028565770","display_name":"Quandong Feng","orcid":"https://orcid.org/0009-0004-3233-6585"},"institutions":[{"id":"https://openalex.org/I31683504","display_name":"Beijing Forestry University","ror":"https://ror.org/04xv2pc41","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I31683504","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Quan-Dong Feng","raw_affiliation_strings":["College of Science, Beijing Forestry University, Beijing, 100083, China"],"affiliations":[{"raw_affiliation_string":"College of Science, Beijing Forestry University, Beijing, 100083, China","institution_ids":["https://openalex.org/I31683504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016620131","display_name":"Miao Xu","orcid":"https://orcid.org/0000-0001-9409-6960"},"institutions":[{"id":"https://openalex.org/I31683504","display_name":"Beijing Forestry University","ror":"https://ror.org/04xv2pc41","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I31683504","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Miao Xu","raw_affiliation_strings":["College of Science, Beijing Forestry University, Beijing, 100083, China"],"affiliations":[{"raw_affiliation_string":"College of Science, Beijing Forestry University, Beijing, 100083, China","institution_ids":["https://openalex.org/I31683504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103053572","display_name":"Xin Zhang","orcid":"https://orcid.org/0000-0002-4679-4809"},"institutions":[{"id":"https://openalex.org/I198091727","display_name":"Tianjin Polytechnic University","ror":"https://ror.org/00xsr9m91","country_code":"CN","type":"education","lineage":["https://openalex.org/I198091727"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Zhang","raw_affiliation_strings":["School of Electrical Engineering and Automation, Tianjin Polytechnic University, Tianjin, 300387, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Automation, Tianjin Polytechnic University, Tianjin, 300387, China","institution_ids":["https://openalex.org/I198091727"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5028565770"],"corresponding_institution_ids":["https://openalex.org/I31683504"],"apc_list":{"value":2190,"currency":"EUR","value_usd":2790},"apc_paid":null,"fwci":0.1689,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.54109431,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"19","issue":"2","first_page":"699","last_page":"708"},"is_retracted":true,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998000264167786,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998000264167786,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9995999932289124,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9750999808311462,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/computer-science","display_name":"Computer science","score":0.8977572917938232},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7230842113494873},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6083375215530396},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5936787128448486},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5336068272590637},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5133430361747742},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.49743321537971497},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.465995192527771},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.4492824375629425},{"id":"https://openalex.org/keywords/tree-structure","display_name":"Tree structure","score":0.4401477575302124},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43952274322509766},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39773714542388916},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3680118918418884},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.355871319770813},{"id":"https://openalex.org/keywords/data-structure","display_name":"Data structure","score":0.2460407018661499},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.09595853090286255}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8977572917938232},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7230842113494873},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6083375215530396},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5936787128448486},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5336068272590637},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5133430361747742},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.49743321537971497},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.465995192527771},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.4492824375629425},{"id":"https://openalex.org/C163797641","wikidata":"https://www.wikidata.org/wiki/Q2067937","display_name":"Tree structure","level":3,"score":0.4401477575302124},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43952274322509766},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39773714542388916},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3680118918418884},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.355871319770813},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.2460407018661499},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.09595853090286255},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10586-016-0551-3","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10586-016-0551-3","pdf_url":null,"source":{"id":"https://openalex.org/S106148199","display_name":"Cluster Computing","issn_l":"1386-7857","issn":["1386-7857","1573-7543"],"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":"Cluster Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.4699999988079071}],"awards":[{"id":"https://openalex.org/G2744095894","display_name":null,"funder_award_id":"Grant No.61179034","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3995749415","display_name":null,"funder_award_id":"Grant No.61370193","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6099151857","display_name":null,"funder_award_id":"YETP0769","funder_id":"https://openalex.org/F4320335442","funder_display_name":"Beijing Higher Education Young Elite Teacher Project"},{"id":"https://openalex.org/G6679785594","display_name":null,"funder_award_id":"Grant No.61571002","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"},{"id":"https://openalex.org/F4320335442","display_name":"Beijing Higher Education Young Elite Teacher Project","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1527781663","https://openalex.org/W1556531089","https://openalex.org/W1677409904","https://openalex.org/W1970654210","https://openalex.org/W1977097512","https://openalex.org/W1981771523","https://openalex.org/W2000116937","https://openalex.org/W2009260473","https://openalex.org/W2033072307","https://openalex.org/W2044465660","https://openalex.org/W2046589280","https://openalex.org/W2048077185","https://openalex.org/W2055289292","https://openalex.org/W2076567391","https://openalex.org/W2088866137","https://openalex.org/W2099253838","https://openalex.org/W2101095122","https://openalex.org/W2104978738","https://openalex.org/W2118269922","https://openalex.org/W2118355530","https://openalex.org/W2119605622","https://openalex.org/W2119745476","https://openalex.org/W2125148312","https://openalex.org/W2127985458","https://openalex.org/W2128017662","https://openalex.org/W2131846894","https://openalex.org/W2134446283","https://openalex.org/W2141081215","https://openalex.org/W2141362318","https://openalex.org/W2145072179","https://openalex.org/W2148809531","https://openalex.org/W2149991777","https://openalex.org/W2151768982","https://openalex.org/W2152543751","https://openalex.org/W2154952031","https://openalex.org/W2162006472","https://openalex.org/W2343920630","https://openalex.org/W2911964244","https://openalex.org/W3016960874","https://openalex.org/W3160851792","https://openalex.org/W6600493712"],"related_works":["https://openalex.org/W2389214306","https://openalex.org/W2965083567","https://openalex.org/W4235240664","https://openalex.org/W1838576100","https://openalex.org/W2757182831","https://openalex.org/W2095886385","https://openalex.org/W2889616422","https://openalex.org/W2089704382","https://openalex.org/W1983399550","https://openalex.org/W97075385"],"abstract_inverted_index":null,"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}