{"id":"https://openalex.org/W2572852038","doi":"https://doi.org/10.1109/tip.2017.2652730","title":"Learning to Hash With Optimized Anchor Embedding for Scalable Retrieval","display_name":"Learning to Hash With Optimized Anchor Embedding for Scalable Retrieval","publication_year":2017,"publication_date":"2017-01-17","ids":{"openalex":"https://openalex.org/W2572852038","doi":"https://doi.org/10.1109/tip.2017.2652730","mag":"2572852038","pmid":"https://pubmed.ncbi.nlm.nih.gov/28092559"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2017.2652730","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2017.2652730","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5035519525","display_name":"Yuchen Guo","orcid":"https://orcid.org/0000-0001-9808-9805"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuchen Guo","raw_affiliation_strings":["School of Software, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057732142","display_name":"Guiguang Ding","orcid":"https://orcid.org/0000-0003-0137-9975"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guiguang Ding","raw_affiliation_strings":["School of Software, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100418866","display_name":"Li Liu","orcid":"https://orcid.org/0000-0002-9121-5124"},"institutions":[{"id":"https://openalex.org/I32394136","display_name":"Northumbria University","ror":"https://ror.org/049e6bc10","country_code":"GB","type":"education","lineage":["https://openalex.org/I32394136"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Li Liu","raw_affiliation_strings":["Department of Computer and Information Sciences, Northumbria University, Newcastle upon Tyne, U.K"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Sciences, Northumbria University, Newcastle upon Tyne, U.K","institution_ids":["https://openalex.org/I32394136"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046605531","display_name":"Jungong Han","orcid":"https://orcid.org/0000-0003-4361-956X"},"institutions":[{"id":"https://openalex.org/I32394136","display_name":"Northumbria University","ror":"https://ror.org/049e6bc10","country_code":"GB","type":"education","lineage":["https://openalex.org/I32394136"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jungong Han","raw_affiliation_strings":["Department of Computer and Information Sciences, Northumbria University, Newcastle upon Tyne, U.K"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Sciences, Northumbria University, Newcastle upon Tyne, U.K","institution_ids":["https://openalex.org/I32394136"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082634513","display_name":"Ling Shao","orcid":"https://orcid.org/0000-0002-8264-6117"},"institutions":[{"id":"https://openalex.org/I1118541","display_name":"University of East Anglia","ror":"https://ror.org/026k5mg93","country_code":"GB","type":"education","lineage":["https://openalex.org/I1118541"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ling Shao","raw_affiliation_strings":["School of Computing Sciences, University of East Anglia, Norwich, U.K"],"affiliations":[{"raw_affiliation_string":"School of Computing Sciences, University of East Anglia, Norwich, U.K","institution_ids":["https://openalex.org/I1118541"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5035519525"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":7.2104,"has_fulltext":false,"cited_by_count":107,"citation_normalized_percentile":{"value":0.98140833,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"26","issue":"3","first_page":"1344","last_page":"1354"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":1.0,"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":1.0,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9962999820709229,"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":0.9894000291824341,"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/computer-science","display_name":"Computer science","score":0.7038562297821045},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.5955527424812317},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.5784202814102173},{"id":"https://openalex.org/keywords/feature-hashing","display_name":"Feature hashing","score":0.5368279814720154},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5339400172233582},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49763181805610657},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.49715903401374817},{"id":"https://openalex.org/keywords/locality-sensitive-hashing","display_name":"Locality-sensitive hashing","score":0.4904191195964813},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.4725727140903473},{"id":"https://openalex.org/keywords/hamming-space","display_name":"Hamming space","score":0.45035630464553833},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4378575384616852},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.39133620262145996},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3867046535015106},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.3661110997200012},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2858101725578308},{"id":"https://openalex.org/keywords/hamming-code","display_name":"Hamming code","score":0.1806710660457611},{"id":"https://openalex.org/keywords/double-hashing","display_name":"Double hashing","score":0.15354323387145996},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.09595450758934021}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7038562297821045},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.5955527424812317},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.5784202814102173},{"id":"https://openalex.org/C133667856","wikidata":"https://www.wikidata.org/wiki/Q5439682","display_name":"Feature hashing","level":5,"score":0.5368279814720154},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5339400172233582},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49763181805610657},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.49715903401374817},{"id":"https://openalex.org/C74270461","wikidata":"https://www.wikidata.org/wiki/Q1625299","display_name":"Locality-sensitive hashing","level":4,"score":0.4904191195964813},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.4725727140903473},{"id":"https://openalex.org/C2779494224","wikidata":"https://www.wikidata.org/wiki/Q5645799","display_name":"Hamming space","level":5,"score":0.45035630464553833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4378575384616852},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.39133620262145996},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3867046535015106},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.3661110997200012},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2858101725578308},{"id":"https://openalex.org/C73150493","wikidata":"https://www.wikidata.org/wiki/Q853922","display_name":"Hamming code","level":4,"score":0.1806710660457611},{"id":"https://openalex.org/C138111711","wikidata":"https://www.wikidata.org/wiki/Q478351","display_name":"Double hashing","level":4,"score":0.15354323387145996},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.09595450758934021},{"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/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C157125643","wikidata":"https://www.wikidata.org/wiki/Q884707","display_name":"Block code","level":3,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tip.2017.2652730","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2017.2652730","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:28092559","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28092559","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null},{"id":"pmh:oai:nrl.northumbria.ac.uk:30191","is_oa":false,"landing_page_url":"http://nrl.northumbria.ac.uk/id/eprint/30191/1/TIP2652730_proof.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306401884","display_name":"Northumbria Research Link (Northumbria University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32394136","host_organization_name":"Northumbria University","host_organization_lineage":["https://openalex.org/I32394136"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:eprints.lancs.ac.uk:87890","is_oa":false,"landing_page_url":"https://eprints.lancs.ac.uk/id/eprint/87890/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401916","display_name":"Lancaster EPrints (Lancaster University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67415387","host_organization_name":"Lancaster University","host_organization_lineage":["https://openalex.org/I67415387"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G187184461","display_name":null,"funder_award_id":"61571269","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3998836037","display_name":null,"funder_award_id":"IE150997","funder_id":"https://openalex.org/F4320320006","funder_display_name":"Royal Society"},{"id":"https://openalex.org/G4155018083","display_name":null,"funder_award_id":"Newton","funder_id":"https://openalex.org/F4320320006","funder_display_name":"Royal Society"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6201887244","display_name":null,"funder_award_id":"61271394","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320320006","display_name":"Royal Society","ror":"https://ror.org/03wnrjx87"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":86,"referenced_works":["https://openalex.org/W896307183","https://openalex.org/W1566135517","https://openalex.org/W1582673523","https://openalex.org/W1797268635","https://openalex.org/W1835419070","https://openalex.org/W1939575207","https://openalex.org/W1951304353","https://openalex.org/W1956333070","https://openalex.org/W1974647172","https://openalex.org/W1981745143","https://openalex.org/W1984309565","https://openalex.org/W1987753869","https://openalex.org/W1992371516","https://openalex.org/W1997646588","https://openalex.org/W2007972815","https://openalex.org/W2015175493","https://openalex.org/W2024668293","https://openalex.org/W2032943964","https://openalex.org/W2044072771","https://openalex.org/W2044195942","https://openalex.org/W2053186076","https://openalex.org/W2071549734","https://openalex.org/W2073301055","https://openalex.org/W2076583508","https://openalex.org/W2080142539","https://openalex.org/W2086953401","https://openalex.org/W2087754359","https://openalex.org/W2097117768","https://openalex.org/W2097308346","https://openalex.org/W2108119513","https://openalex.org/W2111339618","https://openalex.org/W2113606819","https://openalex.org/W2128638419","https://openalex.org/W2129131372","https://openalex.org/W2139172286","https://openalex.org/W2142881874","https://openalex.org/W2145065594","https://openalex.org/W2151103935","https://openalex.org/W2154872931","https://openalex.org/W2159373756","https://openalex.org/W2162670057","https://openalex.org/W2163605009","https://openalex.org/W2164585733","https://openalex.org/W2168103112","https://openalex.org/W2169228027","https://openalex.org/W2251864938","https://openalex.org/W2293597654","https://openalex.org/W2294155285","https://openalex.org/W2295094354","https://openalex.org/W2296457436","https://openalex.org/W2296616510","https://openalex.org/W2342491128","https://openalex.org/W2368744241","https://openalex.org/W2464915613","https://openalex.org/W2502869113","https://openalex.org/W2512032049","https://openalex.org/W2526152041","https://openalex.org/W2534101049","https://openalex.org/W2554234430","https://openalex.org/W2618530766","https://openalex.org/W2912584497","https://openalex.org/W2953139536","https://openalex.org/W2963398644","https://openalex.org/W3029645440","https://openalex.org/W3098959905","https://openalex.org/W3103722964","https://openalex.org/W3118608800","https://openalex.org/W4250955649","https://openalex.org/W4293775970","https://openalex.org/W6624231202","https://openalex.org/W6638319203","https://openalex.org/W6648560114","https://openalex.org/W6676630944","https://openalex.org/W6676903177","https://openalex.org/W6678757208","https://openalex.org/W6681077227","https://openalex.org/W6682644385","https://openalex.org/W6684191040","https://openalex.org/W6685001201","https://openalex.org/W6688152296","https://openalex.org/W6691474080","https://openalex.org/W6696680836","https://openalex.org/W6697158666","https://openalex.org/W6697214482","https://openalex.org/W6758894599","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W1554555624","https://openalex.org/W2944463195","https://openalex.org/W4283379644","https://openalex.org/W2000284985","https://openalex.org/W2158169729","https://openalex.org/W2766209167","https://openalex.org/W2086731314","https://openalex.org/W2766820688","https://openalex.org/W4212830455","https://openalex.org/W4376137632"],"abstract_inverted_index":{"Sparse":[0,134],"representation":[1,10,94],"and":[2,11,36,130,176,179],"image":[3,12,23,56,191],"hashing":[4,27],"are":[5,40],"powerful":[6],"tools":[7,20],"for":[8,21,163],"data":[9,192],"retrieval":[13],"respectively.":[14],"The":[15,42,140],"combinations":[16],"of":[17,44,79,119],"these":[18],"two":[19],"scalable":[22],"retrieval,":[24],"i.e.,":[25],"sparse":[26,77,93],"(SH)":[28],"methods,":[29],"have":[30],"been":[31],"proposed":[32],"in":[33,81,92],"recent":[34],"years":[35],"the":[37,54,65,82,88,103,117,120,124,146,150],"preliminary":[38],"results":[39],"promising.":[41],"core":[43],"those":[45],"methods":[46,71],"is":[47,95,143,183],"a":[48,59,111],"scheme":[49],"that":[50,87,115,123,195],"can":[51,126],"efficiently":[52],"embed":[53],"(high-dimensional)":[55],"features":[57,125],"into":[58],"low-dimensional":[60],"Hamming":[61],"space,":[62],"while":[63,152],"preserving":[64,153],"similarity":[66],"between":[67],"features.":[68,165],"Existing":[69],"SH":[70,113],"mostly":[72],"focus":[73],"on":[74,188],"finding":[75],"better":[76,128],"representations":[78],"images":[80],"hash":[83],"space.":[84],"We":[85,166],"argue":[86],"anchor":[89],"set":[90],"utilized":[91],"also":[96],"crucial,":[97],"which":[98],"was":[99],"unfortunately":[100],"underestimated":[101],"by":[102],"prior":[104],"art.":[105],"To":[106],"this":[107,168],"end,":[108],"we":[109],"propose":[110],"novel":[112,180],"method":[114,197],"optimizes":[116],"integration":[118],"anchors,":[121],"such":[122],"be":[127],"embedded":[129],"binarized,":[131],"termed":[132],"as":[133,158,170],"Hashing":[135],"with":[136],"Optimized":[137],"Anchor":[138],"Embedding.":[139],"central":[141],"idea":[142,169],"to":[144,159],"push":[145],"anchors":[147],"far":[148],"from":[149],"axis":[151],"their":[154],"relative":[155],"positions":[156],"so":[157],"generate":[160],"similar":[161],"hashcodes":[162],"neighboring":[164],"formulate":[167],"an":[171,177],"orthogonality":[172],"constrained":[173],"maximization":[174],"problem":[175],"efficient":[178],"optimization":[181],"framework":[182],"systematically":[184],"exploited.":[185],"Extensive":[186],"experiments":[187],"five":[189],"benchmark":[190],"sets":[193],"demonstrate":[194],"our":[196],"outperforms":[198],"several":[199],"state-of-the-art":[200],"related":[201],"methods.":[202]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":15},{"year":2018,"cited_by_count":38},{"year":2017,"cited_by_count":18}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}
