{"id":"https://openalex.org/W2969362383","doi":"https://doi.org/10.1109/tcsvt.2019.2936710","title":"Semi-Heterogeneous Three-Way Joint Embedding Network for Sketch-Based Image Retrieval","display_name":"Semi-Heterogeneous Three-Way Joint Embedding Network for Sketch-Based Image Retrieval","publication_year":2019,"publication_date":"2019-08-22","ids":{"openalex":"https://openalex.org/W2969362383","doi":"https://doi.org/10.1109/tcsvt.2019.2936710","mag":"2969362383"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2019.2936710","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2019.2936710","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1911.04470","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081490093","display_name":"Jianjun Lei","orcid":"https://orcid.org/0000-0003-3171-7680"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianjun Lei","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101552284","display_name":"Yuxin Song","orcid":"https://orcid.org/0000-0003-0392-7939"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]},{"id":"https://openalex.org/I28290843","display_name":"University of Surrey","ror":"https://ror.org/00ks66431","country_code":"GB","type":"education","lineage":["https://openalex.org/I28290843"]}],"countries":["CN","GB"],"is_corresponding":false,"raw_author_name":"Yuxin Song","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China","SketchX Lab, Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford, U.K"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"SketchX Lab, Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford, U.K","institution_ids":["https://openalex.org/I28290843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061202217","display_name":"Bo Peng","orcid":"https://orcid.org/0000-0002-6616-453X"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Peng","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039812471","display_name":"Zhanyu Ma","orcid":"https://orcid.org/0000-0003-2950-2488"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhanyu Ma","raw_affiliation_strings":["Pattern Recognition and Intelligent System Laboratory, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Pattern Recognition and Intelligent System Laboratory, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082634513","display_name":"Ling Shao","orcid":"https://orcid.org/0000-0002-8264-6117"},"institutions":[{"id":"https://openalex.org/I4210116052","display_name":"Inception Institute of Artificial Intelligence","ror":"https://ror.org/02664zk40","country_code":"AE","type":"facility","lineage":["https://openalex.org/I4210116052"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Ling Shao","raw_affiliation_strings":["Inception Institute of Artificial Intelligence, Abu Dhabi, UAE"],"affiliations":[{"raw_affiliation_string":"Inception Institute of Artificial Intelligence, Abu Dhabi, UAE","institution_ids":["https://openalex.org/I4210116052"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046046128","display_name":"Yi-Zhe Song","orcid":"https://orcid.org/0000-0001-5908-3275"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]},{"id":"https://openalex.org/I28290843","display_name":"University of Surrey","ror":"https://ror.org/00ks66431","country_code":"GB","type":"education","lineage":["https://openalex.org/I28290843"]}],"countries":["CN","GB"],"is_corresponding":false,"raw_author_name":"Yi-Zhe Song","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China","SketchX Lab, Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford, U.K"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"SketchX Lab, Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford, U.K","institution_ids":["https://openalex.org/I28290843"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5081490093"],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":null,"apc_paid":null,"fwci":3.1677,"has_fulltext":false,"cited_by_count":57,"citation_normalized_percentile":{"value":0.93717104,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"30","issue":"9","first_page":"3226","last_page":"3237"},"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":0.9998999834060669,"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":0.9998999834060669,"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/T11714","display_name":"Multimodal Machine Learning Applications","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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9980000257492065,"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":0.7629444599151611},{"id":"https://openalex.org/keywords/sketch","display_name":"Sketch","score":0.7256909608840942},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6711458563804626},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6571543216705322},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6008920669555664},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5630283951759338},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5020942687988281},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.4986610412597656},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49787020683288574},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.467684805393219},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.45723897218704224},{"id":"https://openalex.org/keywords/semantic-gap","display_name":"Semantic gap","score":0.4292770326137543},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4114348292350769},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.15861928462982178},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13958412408828735}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7629444599151611},{"id":"https://openalex.org/C2779231336","wikidata":"https://www.wikidata.org/wiki/Q7534724","display_name":"Sketch","level":2,"score":0.7256909608840942},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6711458563804626},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6571543216705322},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6008920669555664},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5630283951759338},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5020942687988281},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.4986610412597656},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49787020683288574},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.467684805393219},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.45723897218704224},{"id":"https://openalex.org/C86034646","wikidata":"https://www.wikidata.org/wiki/Q474311","display_name":"Semantic gap","level":4,"score":0.4292770326137543},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4114348292350769},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.15861928462982178},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13958412408828735},{"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcsvt.2019.2936710","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2019.2936710","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1911.04470","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1911.04470","pdf_url":"https://arxiv.org/pdf/1911.04470","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1911.04470","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1911.04470","pdf_url":"https://arxiv.org/pdf/1911.04470","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.7300000190734863,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G1353408304","display_name":null,"funder_award_id":"61722112","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2357889549","display_name":null,"funder_award_id":"61922015","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2496851469","display_name":null,"funder_award_id":"18JCJQJC45800","funder_id":"https://openalex.org/F4320323993","funder_display_name":"Natural Science Foundation of Tianjin City"},{"id":"https://openalex.org/G4725545030","display_name":null,"funder_award_id":"61931014","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6866399467","display_name":null,"funder_award_id":"18ZXZNGX00110","funder_id":"https://openalex.org/F4320323993","funder_display_name":"Natural Science Foundation of Tianjin City"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323993","display_name":"Natural Science Foundation of Tianjin City","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":74,"referenced_works":["https://openalex.org/W51625820","https://openalex.org/W1503798456","https://openalex.org/W1686810756","https://openalex.org/W1892078565","https://openalex.org/W1895722194","https://openalex.org/W1928906481","https://openalex.org/W1932779964","https://openalex.org/W1972420097","https://openalex.org/W1997814073","https://openalex.org/W2011459581","https://openalex.org/W2030137299","https://openalex.org/W2068091162","https://openalex.org/W2078224292","https://openalex.org/W2100968369","https://openalex.org/W2108598243","https://openalex.org/W2124386111","https://openalex.org/W2155893237","https://openalex.org/W2161969291","https://openalex.org/W2163605009","https://openalex.org/W2183681795","https://openalex.org/W2187089797","https://openalex.org/W2271170261","https://openalex.org/W2291533986","https://openalex.org/W2307425316","https://openalex.org/W2332729875","https://openalex.org/W2371838123","https://openalex.org/W2404621482","https://openalex.org/W2466618734","https://openalex.org/W2467281799","https://openalex.org/W2511925527","https://openalex.org/W2527420824","https://openalex.org/W2546696630","https://openalex.org/W2549699157","https://openalex.org/W2575842049","https://openalex.org/W2598003564","https://openalex.org/W2603445054","https://openalex.org/W2606271862","https://openalex.org/W2618530766","https://openalex.org/W2739107216","https://openalex.org/W2748769660","https://openalex.org/W2752782242","https://openalex.org/W2776402438","https://openalex.org/W2781749799","https://openalex.org/W2786585376","https://openalex.org/W2791221471","https://openalex.org/W2793095891","https://openalex.org/W2798354744","https://openalex.org/W2807931652","https://openalex.org/W2886209409","https://openalex.org/W2889792167","https://openalex.org/W2898012907","https://openalex.org/W2906147118","https://openalex.org/W2950094539","https://openalex.org/W2962721615","https://openalex.org/W2962835968","https://openalex.org/W2962861647","https://openalex.org/W2962926870","https://openalex.org/W2963307918","https://openalex.org/W2963420686","https://openalex.org/W2963495494","https://openalex.org/W2964266708","https://openalex.org/W3098140381","https://openalex.org/W3099677434","https://openalex.org/W3143148823","https://openalex.org/W4230981054","https://openalex.org/W4239072543","https://openalex.org/W4309845474","https://openalex.org/W6630195098","https://openalex.org/W6637373629","https://openalex.org/W6640376812","https://openalex.org/W6684191040","https://openalex.org/W6702801846","https://openalex.org/W6752285806","https://openalex.org/W6755678527"],"related_works":["https://openalex.org/W2185495922","https://openalex.org/W2172231696","https://openalex.org/W2089969684","https://openalex.org/W2002918846","https://openalex.org/W2503910294","https://openalex.org/W2384506582","https://openalex.org/W2034539438","https://openalex.org/W156213964","https://openalex.org/W2130191173","https://openalex.org/W1787428848"],"abstract_inverted_index":{"Sketch-based":[0],"image":[1,61,122],"retrieval":[2],"(SBIR)":[3],"is":[4,102,124,136,176,190],"a":[5,28,34,44,59,132,146,173,202],"challenging":[6],"task":[7],"due":[8],"to":[9,20,67,104,126,138,165,178,192,208,212],"the":[10,75,86,92,112,120,127,140,154,170,194,210,231],"large":[11],"cross-domain":[12,71,215],"gap":[13],"between":[14,184],"sketches":[15,23],"and":[16,24,63,88,96,114,169,201,226],"natural":[17,25,60,94,121,167],"images.":[18],"How":[19],"align":[21,193],"abstract":[22],"images":[26,168],"into":[27,145],"common":[29,147,164,180],"high-level":[30,148],"semantic":[31,134,149],"space":[32],"remains":[33],"key":[35,79],"problem":[36],"in":[37],"SBIR.":[38],"In":[39,130],"this":[40],"paper,":[41],"we":[42,84],"propose":[43],"novel":[45],"semi-heterogeneous":[46,99],"three-way":[47],"joint":[48,133],"embedding":[49,135],"network":[50,211],"(Semi3-Net),":[51],"which":[52],"integrates":[53],"three":[54,155,195],"branches":[55,116,156],"(a":[56],"sketch":[57,113],"branch,":[58,62],"an":[64,198],"edgemap":[65,115],"branch)":[66],"learn":[68,213],"more":[69],"discriminative":[70],"feature":[72,100,182],"representations":[73],"for":[74],"SBIR":[76],"task.":[77],"The":[78],"insight":[80],"lies":[81],"with":[82],"how":[83],"cultivate":[85],"mutual":[87],"subtle":[89],"relationships":[90],"amongst":[91],"sketches,":[93],"images,":[95],"edgemaps.":[97],"A":[98,187],"mapping":[101],"designed":[103,191],"extract":[105],"bottom":[106],"features":[107,141,163],"from":[108,142],"each":[109],"domain,":[110],"where":[111,151,197],"are":[117,157,206],"shared":[118],"while":[119],"branch":[123],"heterogeneous":[125],"other":[128],"branches.":[129],"addition,":[131],"introduced":[137,177],"embed":[139],"different":[143,185],"domains":[144],"space,":[150],"all":[152],"of":[153],"shared.":[158],"To":[159],"further":[160],"capture":[161],"informative":[162],"both":[166],"corresponding":[171],"edgemaps,":[172],"co-attention":[174],"model":[175],"conduct":[179],"channel-wise":[181],"recalibration":[183],"domains.":[186],"hybrid-loss":[188],"mechanism":[189],"branches,":[196],"alignment":[199],"loss":[200,205],"sketch-edgemap":[203],"contrastive":[204],"presented":[207],"encourage":[209],"invariant":[214],"representations.":[216],"Experimental":[217],"results":[218],"on":[219],"two":[220],"widely":[221],"used":[222],"category-level":[223],"datasets":[224],"(Sketchy":[225],"TU-Berlin":[227],"Extension)":[228],"demonstrate":[229],"that":[230],"proposed":[232],"method":[233],"outperforms":[234],"state-of-the-art":[235],"methods.":[236]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":10}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2019-08-29T00:00:00"}