{"id":"https://openalex.org/W4220713653","doi":"https://doi.org/10.1109/tase.2022.3159553","title":"Anisotropic Generalized Bayesian Coherent Point Drift for Point Set Registration","display_name":"Anisotropic Generalized Bayesian Coherent Point Drift for Point Set Registration","publication_year":2022,"publication_date":"2022-03-23","ids":{"openalex":"https://openalex.org/W4220713653","doi":"https://doi.org/10.1109/tase.2022.3159553"},"language":"en","primary_location":{"id":"doi:10.1109/tase.2022.3159553","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2022.3159553","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"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 Automation Science and Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://discovery.ucl.ac.uk/10150628/1/Min_TASE_AGBCPD_final_submission.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101541870","display_name":"Ang Zhang","orcid":"https://orcid.org/0000-0002-0749-5822"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Ang Zhang","raw_affiliation_strings":["Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong, SAR, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong, SAR, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040071840","display_name":"Zhe Min","orcid":"https://orcid.org/0000-0002-8903-1561"},"institutions":[{"id":"https://openalex.org/I4210122016","display_name":"Wellcome / EPSRC Centre for Interventional and Surgical Sciences","ror":"https://ror.org/03r42r570","country_code":"GB","type":"facility","lineage":["https://openalex.org/I124357947","https://openalex.org/I1299528221","https://openalex.org/I4210087105","https://openalex.org/I4210122016","https://openalex.org/I45129253","https://openalex.org/I87048295"]},{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zhe Min","raw_affiliation_strings":["Centre for Medical Image Computing and the Wellcome/EPSRC Centre for Interventional and Surgical Sciences, University College London, London, U.K"],"affiliations":[{"raw_affiliation_string":"Centre for Medical Image Computing and the Wellcome/EPSRC Centre for Interventional and Surgical Sciences, University College London, London, U.K","institution_ids":["https://openalex.org/I4210122016","https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027367137","display_name":"Zhengyan Zhang","orcid":"https://orcid.org/0000-0002-4906-4481"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengyan Zhang","raw_affiliation_strings":["School of Mechanical Engineering and Automation, Harbin Institute of Technology at Shenzhen, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering and Automation, Harbin Institute of Technology at Shenzhen, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101708548","display_name":"Xing Yang","orcid":"https://orcid.org/0000-0003-2345-9722"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xing Yang","raw_affiliation_strings":["School of Mechanical Engineering and Automation, Harbin Institute of Technology at Shenzhen, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering and Automation, Harbin Institute of Technology at Shenzhen, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021531143","display_name":"Max Q.\u2010H. Meng","orcid":"https://orcid.org/0000-0002-5255-5898"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]},{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]},{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Max Q.-H. Meng","raw_affiliation_strings":["Department of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen, China","Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong, China","Shenzhen Research Institute, The Chinese University of Hong Kong at Shenzhen, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]},{"raw_affiliation_string":"Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"Shenzhen Research Institute, The Chinese University of Hong Kong at Shenzhen, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101541870"],"corresponding_institution_ids":["https://openalex.org/I177725633"],"apc_list":null,"apc_paid":null,"fwci":5.7342,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.95320206,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"20","issue":"1","first_page":"495","last_page":"505"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9955000281333923,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9915000200271606,"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/outlier","display_name":"Outlier","score":0.6511997580528259},{"id":"https://openalex.org/keywords/point-set-registration","display_name":"Point set registration","score":0.5865450501441956},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5514904856681824},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5397928357124329},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5312126874923706},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.522388756275177},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5205658078193665},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5179833173751831},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5012989044189453},{"id":"https://openalex.org/keywords/iterative-closest-point","display_name":"Iterative closest point","score":0.49583300948143005},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3267252445220947},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.321343332529068},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.16477614641189575},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.14204630255699158},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.08716228604316711}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6511997580528259},{"id":"https://openalex.org/C200336642","wikidata":"https://www.wikidata.org/wiki/Q15058706","display_name":"Point set registration","level":3,"score":0.5865450501441956},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5514904856681824},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5397928357124329},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5312126874923706},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.522388756275177},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5205658078193665},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5179833173751831},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5012989044189453},{"id":"https://openalex.org/C195958017","wikidata":"https://www.wikidata.org/wiki/Q1675268","display_name":"Iterative closest point","level":3,"score":0.49583300948143005},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3267252445220947},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.321343332529068},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.16477614641189575},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.14204630255699158},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.08716228604316711},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tase.2022.3159553","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2022.3159553","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"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 Automation Science and Engineering","raw_type":"journal-article"},{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:10150628","is_oa":true,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/10150628/","pdf_url":"https://discovery.ucl.ac.uk/10150628/1/Min_TASE_AGBCPD_final_submission.pdf","source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"   IEEE Transactions on Automation Science and Engineering       (2022)     (In press).  ","raw_type":"Article"}],"best_oa_location":{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:10150628","is_oa":true,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/10150628/","pdf_url":"https://discovery.ucl.ac.uk/10150628/1/Min_TASE_AGBCPD_final_submission.pdf","source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"   IEEE Transactions on Automation Science and Engineering       (2022)     (In press).  ","raw_type":"Article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5736026126","display_name":null,"funder_award_id":"2019YFB1312400","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6116507787","display_name":null,"funder_award_id":"N_CUHK448/17","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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4220713653.pdf"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W73503437","https://openalex.org/W327180933","https://openalex.org/W1570770495","https://openalex.org/W1970642064","https://openalex.org/W2015901765","https://openalex.org/W2074693620","https://openalex.org/W2083624955","https://openalex.org/W2107528150","https://openalex.org/W2124141313","https://openalex.org/W2134236847","https://openalex.org/W2145001205","https://openalex.org/W2157656099","https://openalex.org/W2271206385","https://openalex.org/W2344109021","https://openalex.org/W2560609797","https://openalex.org/W2594495318","https://openalex.org/W2740578684","https://openalex.org/W2742540092","https://openalex.org/W2795890078","https://openalex.org/W2809795042","https://openalex.org/W2810112987","https://openalex.org/W2910963390","https://openalex.org/W2924259647","https://openalex.org/W2942351283","https://openalex.org/W2979750740","https://openalex.org/W2980671302","https://openalex.org/W2980852587","https://openalex.org/W2993690044","https://openalex.org/W3005226310","https://openalex.org/W3035030518","https://openalex.org/W3042567147","https://openalex.org/W3047057232","https://openalex.org/W3083525451","https://openalex.org/W3092523194","https://openalex.org/W3111598592","https://openalex.org/W3112338958","https://openalex.org/W3122885952","https://openalex.org/W3190903990","https://openalex.org/W4212863985","https://openalex.org/W4214707182","https://openalex.org/W4235578765","https://openalex.org/W6682124274","https://openalex.org/W6734797129","https://openalex.org/W6767019538"],"related_works":["https://openalex.org/W2908649049","https://openalex.org/W1994704147","https://openalex.org/W4214932852","https://openalex.org/W2016471627","https://openalex.org/W2102629623","https://openalex.org/W2588475688","https://openalex.org/W2076606616","https://openalex.org/W2964621992","https://openalex.org/W2744571371","https://openalex.org/W2775007501"],"abstract_inverted_index":{"Registration":[0,13],"is":[1,14,25,78,106,131,184,193,205,265,276,310,321,372],"highly":[2],"demanded":[3],"in":[4,34,166,217,259],"many":[5,30,35],"real-world":[6],"scenarios":[7,270],"such":[8],"as":[9],"robotics":[10],"and":[11,28,67,101,118,136,138,234,290,312,340,358,397,402],"automation.":[12],"challenging":[15],"partly":[16],"due":[17],"to":[18,91,134,229,242,284,302,326,399],"the":[19,22,49,82,92,102,115,125,128,139,148,152,155,160,173,197,201,208,212,231,239,248,272,297,303,330,336,341,345,350,354,359,363,366,370,375,379,387],"fact":[20],"that":[21,94],"acquired":[23],"data":[24],"usually":[26,42],"noisy":[27],"has":[29],"outliers.":[31],"In":[32],"addition,":[33],"practical":[36],"applications,":[37],"one":[38,122],"point":[39,72,87,96,110,140],"set":[40,73],"(PS)":[41],"only":[43],"covers":[44],"a":[45,64,187],"partial":[46,292,403],"region":[47],"of":[48,114,175,250,333,365,389],"other":[50,149,269],"PS.":[51],"Thus,":[52],"most":[53],"existing":[54],"registration":[55,74,153,275,280,393],"algorithms":[56],"cannot":[57],"guarantee":[58,159],"theoretical":[59,162,376],"convergence.":[60,163],"This":[61,294],"article":[62,168],"presents":[63],"novel,":[65],"robust,":[66],"accurate":[68],"three-dimensional":[69],"(3D)":[70],"rigid":[71,252],"(PSR)":[75],"method,":[76],"which":[77,192],"achieved":[79],"by":[80,195,247],"generalizing":[81,196],"state-of-the-art":[83],"(SOTA)":[84],"Bayesian":[85,189],"coherent":[86],"drift":[88],"(BCPD)":[89],"theory":[90],"scenario":[93,305],"high-dimensional":[95,109],"sets":[97,111],"(PSs)":[98],"are":[99,169,215,282,315],"aligned":[100],"anisotropic":[103,202,287,307,355],"positional":[104,116,203,308,356],"noise":[105,135,204,285,309,319],"considered.":[107,206],"The":[108,262,278,317,383],"typically":[112],"consist":[113],"vectors":[117,183,314],"normal":[119,126,182,313,367],"vectors.":[120],"On":[121,147],"hand,":[123,150],"with":[124,181,220,353,362],"vectors,":[127],"proposed":[129,232,263,299,318],"method":[130,301],"more":[132,145],"robust":[133],"outliers,":[137,289,401],"correspondences":[141],"can":[142],"be":[143,327],"found":[144],"accurately.":[146],"incorporating":[151],"into":[154,186,323],"BCPD":[156,198,300],"framework":[157],"will":[158],"algorithm\u2019s":[161,213],"Our":[164],"contributions":[165],"this":[167],"three":[170,324],"folds.":[171],"First,":[172],"problem":[174,249],"rigidly":[176],"aligning":[177],"two":[178],"general":[179],"PSs":[180],"incorporated":[185],"variational":[188,380],"inference":[190,381],"framework,":[191],"solved":[194,328],"approach":[199,233],"while":[200],"Second,":[207],"updated":[209],"parameters":[210,343],"during":[211],"iterations":[214],"given":[216],"closed-form":[218],"or":[219],"iterative":[221],"solutions.":[222],"Third,":[223],"extensive":[224],"experiments":[225],"have":[226],"been":[227],"done":[228],"validate":[230],"its":[235],"significant":[236],"improvements":[237],"over":[238],"BCPD.":[240],"Note":[241],"Practitioners\u2014This":[243],"paper":[244,295],"was":[245],"motivated":[246],"3D":[251],"PSR":[253],"for":[254,268],"computer-assisted":[255],"surgery":[256],"(CAS),":[257],"especially":[258],"orthopedic":[260],"applications.":[261],"algorithm":[264,391],"also":[266],"suitable":[267],"where":[271,306],"initial":[273],"coarse":[274],"conducted.":[277],"traditional":[279],"methods":[281],"susceptible":[283],"(especially":[286],"noise),":[288],"incomplete":[291],"data.":[293,404],"generalizes":[296],"recently":[298],"six-dimensional":[304],"considered":[311],"incorporated.":[316],"model":[320,342],"decomposed":[322],"parts":[325],"alternately:":[329],"membership":[331],"probability":[332],"mixture":[334],"distributions,":[335],"soft":[337],"correspondence":[338],"estimation,":[339],"(i.e.,":[344],"rotation":[346],"matrix,":[347],"translation":[348],"vector,":[349],"covariance":[351],"matrix":[352],"error,":[357],"concentration":[360],"parameter":[361],"estimation":[364],"vectors).":[368],"Especially,":[369],"convergence":[371,395],"guaranteed":[373],"at":[374],"level":[377],"using":[378],"theory.":[382],"experimental":[384],"results":[385],"demonstrate":[386],"superiority":[388],"our":[390],"on":[392],"accuracy,":[394],"speed,":[396],"robustness":[398],"noise,":[400]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
