{"id":"https://openalex.org/W2943065845","doi":"https://doi.org/10.1109/access.2019.2912647","title":"Parallel K Nearest Neighbor Matching for 3D Reconstruction","display_name":"Parallel K Nearest Neighbor Matching for 3D Reconstruction","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2943065845","doi":"https://doi.org/10.1109/access.2019.2912647","mag":"2943065845"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2912647","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2912647","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08703749.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08703749.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071321197","display_name":"Mingwei Cao","orcid":"https://orcid.org/0000-0002-8161-0382"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ming-Wei Cao","raw_affiliation_strings":["Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Hefei, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100412846","display_name":"Lin Li","orcid":"https://orcid.org/0000-0002-2034-982X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lin Li","raw_affiliation_strings":["Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Hefei, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112427880","display_name":"Wenjun Xie","orcid":"https://orcid.org/0000-0002-4032-8049"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen-Jun Xie","raw_affiliation_strings":["School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-4032-8049","affiliations":[{"raw_affiliation_string":"School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100395308","display_name":"Wei Jia","orcid":"https://orcid.org/0000-0001-5628-6237"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei Jia","raw_affiliation_strings":["Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0001-5628-6237","affiliations":[{"raw_affiliation_string":"Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Hefei, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108044017","display_name":"Zhihan Lv","orcid":"https://orcid.org/0000-0003-2525-3074"},"institutions":[{"id":"https://openalex.org/I108688024","display_name":"Qingdao University","ror":"https://ror.org/021cj6z65","country_code":"CN","type":"education","lineage":["https://openalex.org/I108688024"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi-Han Lv","raw_affiliation_strings":["School of Data Science and Software Engineering, Qingdao University, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0003-2525-3074","affiliations":[{"raw_affiliation_string":"School of Data Science and Software Engineering, Qingdao University, Qingdao, China","institution_ids":["https://openalex.org/I108688024"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070592633","display_name":"Liping Zheng","orcid":"https://orcid.org/0000-0001-5071-9628"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li-Ping Zheng","raw_affiliation_strings":["Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Hefei, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100616339","display_name":"Xiaoping Liu","orcid":"https://orcid.org/0000-0002-0760-6262"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiao-Ping Liu","raw_affiliation_strings":["Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Hefei, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":12.8813,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.98011925,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"7","issue":null,"first_page":"55248","last_page":"55260"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9997000098228455,"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":0.9997000098228455,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994999766349792,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9993000030517578,"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":0.8409140110015869},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6525489687919617},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.49791669845581055},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4974682629108429},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.49685028195381165},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.4468119740486145},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4351840913295746},{"id":"https://openalex.org/keywords/feature-matching","display_name":"Feature matching","score":0.4283347427845001},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42317911982536316},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.41280683875083923},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.388887494802475},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11307036876678467}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8409140110015869},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6525489687919617},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.49791669845581055},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4974682629108429},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.49685028195381165},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.4468119740486145},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4351840913295746},{"id":"https://openalex.org/C2983787585","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature matching","level":3,"score":0.4283347427845001},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42317911982536316},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.41280683875083923},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.388887494802475},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11307036876678467},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2912647","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2912647","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08703749.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:6767aac3ffa64737a37a3439ff9290a8","is_oa":true,"landing_page_url":"https://doaj.org/article/6767aac3ffa64737a37a3439ff9290a8","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 55248-55260 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2912647","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2912647","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08703749.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.550000011920929,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G1938660769","display_name":null,"funder_award_id":"ZR2017QF015","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G2312094729","display_name":null,"funder_award_id":"2018M632522","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G2934250750","display_name":null,"funder_award_id":"61802103","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3016218962","display_name":null,"funder_award_id":"61673157","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3473720878","display_name":null,"funder_award_id":"PA2018GDQT0014","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G4937598220","display_name":null,"funder_award_id":"61877016","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G970020396","display_name":null,"funder_award_id":"JZ2018HGBH0280","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2943065845.pdf","grobid_xml":"https://content.openalex.org/works/W2943065845.grobid-xml"},"referenced_works_count":103,"referenced_works":["https://openalex.org/W176729393","https://openalex.org/W840954190","https://openalex.org/W1602981911","https://openalex.org/W1606766208","https://openalex.org/W1627400044","https://openalex.org/W1677409904","https://openalex.org/W1684523086","https://openalex.org/W1836794077","https://openalex.org/W1921054364","https://openalex.org/W1981429121","https://openalex.org/W1981438696","https://openalex.org/W1985238052","https://openalex.org/W1993336109","https://openalex.org/W2001790138","https://openalex.org/W2007864137","https://openalex.org/W2010642153","https://openalex.org/W2033819227","https://openalex.org/W2035435214","https://openalex.org/W2057068800","https://openalex.org/W2058017216","https://openalex.org/W2060599314","https://openalex.org/W2060772243","https://openalex.org/W2079376982","https://openalex.org/W2084613528","https://openalex.org/W2087952184","https://openalex.org/W2105303354","https://openalex.org/W2106199912","https://openalex.org/W2115049345","https://openalex.org/W2117228865","https://openalex.org/W2133605096","https://openalex.org/W2135209101","https://openalex.org/W2141903416","https://openalex.org/W2151103935","https://openalex.org/W2151290401","https://openalex.org/W2156598602","https://openalex.org/W2161986303","https://openalex.org/W2169633581","https://openalex.org/W2200104559","https://openalex.org/W2214540232","https://openalex.org/W2217143704","https://openalex.org/W2288572574","https://openalex.org/W2329267147","https://openalex.org/W2461005315","https://openalex.org/W2462793074","https://openalex.org/W2471962767","https://openalex.org/W2478778938","https://openalex.org/W2498620878","https://openalex.org/W2512749302","https://openalex.org/W2519570530","https://openalex.org/W2519831186","https://openalex.org/W2519897181","https://openalex.org/W2532968253","https://openalex.org/W2560644659","https://openalex.org/W2579352318","https://openalex.org/W2582402548","https://openalex.org/W2589310369","https://openalex.org/W2599692954","https://openalex.org/W2605553408","https://openalex.org/W2605778869","https://openalex.org/W2610614679","https://openalex.org/W2614891930","https://openalex.org/W2621056361","https://openalex.org/W2727382535","https://openalex.org/W2743971569","https://openalex.org/W2753893487","https://openalex.org/W2754925132","https://openalex.org/W2769419636","https://openalex.org/W2769969171","https://openalex.org/W2777923808","https://openalex.org/W2788608285","https://openalex.org/W2798548676","https://openalex.org/W2805143365","https://openalex.org/W2807555794","https://openalex.org/W2889389533","https://openalex.org/W2890795004","https://openalex.org/W2891651041","https://openalex.org/W2894900504","https://openalex.org/W2895935978","https://openalex.org/W2899831632","https://openalex.org/W2905354310","https://openalex.org/W2963221299","https://openalex.org/W2963821673","https://openalex.org/W2964158430","https://openalex.org/W3123240962","https://openalex.org/W4235633124","https://openalex.org/W4247250903","https://openalex.org/W4250459450","https://openalex.org/W6607182440","https://openalex.org/W6623479138","https://openalex.org/W6635970415","https://openalex.org/W6636759986","https://openalex.org/W6637400245","https://openalex.org/W6640341924","https://openalex.org/W6665413246","https://openalex.org/W6679613606","https://openalex.org/W6681433244","https://openalex.org/W6726844951","https://openalex.org/W6727022572","https://openalex.org/W6729169192","https://openalex.org/W6750998783","https://openalex.org/W6751883206","https://openalex.org/W6754702266","https://openalex.org/W6756905478"],"related_works":["https://openalex.org/W3006513224","https://openalex.org/W4389574804","https://openalex.org/W2046456988","https://openalex.org/W2357409937","https://openalex.org/W2510582230","https://openalex.org/W2978674666","https://openalex.org/W1968695676","https://openalex.org/W2123144113","https://openalex.org/W2063813642","https://openalex.org/W3106568383"],"abstract_inverted_index":{"In":[0,137],"recent":[1],"years,":[2],"a":[3,45,142,149,155,188,202],"3D":[4],"reconstruction":[5],"based":[6],"on":[7,38,214],"structure":[8],"from":[9,16],"motion":[10],"(SFM)":[11],"has":[12],"attracted":[13],"much":[14],"attention":[15],"the":[17,29,39,55,84,88,93,98,211,228,239],"communities":[18],"of":[19,33,41,48,57,80,87,92,100,109,134,162,164,191,204],"computer":[20],"vision":[21],"and":[22,31,130,178,193,209,225,245],"graphics.":[23],"It":[24],"is":[25,51,107,131,183],"well":[26],"known":[27],"that":[28,235],"speed":[30,56],"quality":[32],"SFM":[34,59],"systems":[35],"largely":[36],"depend":[37],"technique":[40],"feature":[42,102,144],"tracking.":[43,103],"If":[44],"big":[46,189],"volume":[47,190],"image":[49],"data":[50],"inputted":[52],"for":[53,70,112],"SFM,":[54],"this":[58,66,138],"system":[60],"would":[61],"become":[62],"very":[63],"slow.":[64],"And,":[65],"problem":[67,99],"becomes":[68],"severer":[69],"large-scale":[71,135],"scenes,":[72],"which":[73],"typically":[74],"needs":[75],"to":[76,82,185,195,227],"capture":[77],"several":[78,215],"thousands":[79],"images":[81],"recover":[83],"point-cloud":[85],"model":[86],"scene.":[89],"However,":[90],"none":[91],"existing":[94],"methods":[95,241],"fully":[96],"addresses":[97],"fast":[101],"Brute":[104],"force":[105],"matching":[106,123,170],"capable":[108,133],"producing":[110],"correspondences":[111],"small-scale":[113],"scenes":[114,129],"but":[115],"often":[116],"getting":[117],"stuck":[118],"in":[119,148,154,242],"repeated":[120,223],"features.":[121],"Hashing":[122],"can":[124],"only":[125],"deal":[126],"with":[127,221],"middle-scale":[128],"not":[132],"scenes.":[136],"paper,":[139],"we":[140],"propose":[141],"new":[143],"tacking":[145],"method":[146,160,182,213,237],"working":[147],"parallel":[150,172],"manner":[151],"rather":[152],"than":[153],"single":[156],"thread":[157],"scheme.":[158],"Our":[159],"consists":[161],"steps":[163],"keypoint":[165],"detection,":[166],"descriptor":[167,169],"computing,":[168],"by":[171],"k":[173],"-nearest":[174],"neighbor":[175],"(Parallel-KNN)":[176],"search,":[177],"outlier":[179],"rejecting.":[180],"This":[181],"able":[184],"rapidly":[186],"match":[187],"keypoints":[192],"avoids":[194],"consume":[196],"high":[197],"computation":[198],"time,":[199],"then":[200],"yielding":[201],"set":[203],"correct":[205],"correspondences.":[206],"We":[207],"demonstrate":[208],"evaluate":[210],"proposed":[212],"challenging":[216],"benchmark":[217],"datasets,":[218],"including":[219],"those":[220],"highly":[222],"features,":[224],"compare":[226],"state-of-the-art":[229],"methods.":[230],"The":[231],"experimental":[232],"results":[233],"indicate":[234],"our":[236],"outperforms":[238],"compared":[240],"both":[243],"efficiency":[244],"effectiveness.":[246]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
