{"id":"https://openalex.org/W3177792800","doi":"https://doi.org/10.1109/tmi.2021.3097826","title":"Learning and Segmenting Dense Voxel Embeddings for 3D Neuron Reconstruction","display_name":"Learning and Segmenting Dense Voxel Embeddings for 3D Neuron Reconstruction","publication_year":2021,"publication_date":"2021-08-09","ids":{"openalex":"https://openalex.org/W3177792800","doi":"https://doi.org/10.1109/tmi.2021.3097826","mag":"3177792800","pmid":"https://pubmed.ncbi.nlm.nih.gov/34270419"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2021.3097826","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2021.3097826","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"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 Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8692755","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Kisuk Lee","orcid":"https://orcid.org/0000-0001-5707-0155"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]},{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Kisuk Lee","raw_affiliation_strings":["Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA","Neuroscience Institute, Princeton University, Princeton, NJ, USA"],"raw_orcid":"https://orcid.org/0000-0001-5707-0155","affiliations":[{"raw_affiliation_string":"Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA","institution_ids":["https://openalex.org/I63966007"]},{"raw_affiliation_string":"Neuroscience Institute, Princeton University, Princeton, NJ, USA","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ran Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ran Lu","raw_affiliation_strings":["Neuroscience Institute, Princeton University, Princeton, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Neuroscience Institute, Princeton University, Princeton, NJ, USA","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Kyle Luther","orcid":null},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kyle Luther","raw_affiliation_strings":["Department of Physics, Princeton University, Princeton, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Physics, Princeton University, Princeton, NJ, USA","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"last","author":{"id":null,"display_name":"H. Sebastian Seung","orcid":null},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"H. Sebastian Seung","raw_affiliation_strings":["Department of Computer Science, Princeton University, Princeton, NJ, USA","Neuroscience Institute, Princeton University, Princeton, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Princeton University, Princeton, NJ, USA","institution_ids":["https://openalex.org/I20089843"]},{"raw_affiliation_string":"Neuroscience Institute, Princeton University, Princeton, NJ, USA","institution_ids":["https://openalex.org/I20089843"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I20089843","https://openalex.org/I63966007"],"apc_list":null,"apc_paid":null,"fwci":6.0157,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.95995167,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"40","issue":"12","first_page":"3801","last_page":"3811"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.5728999972343445,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.5728999972343445,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10857","display_name":"Advanced Electron Microscopy Techniques and Applications","score":0.27489998936653137,"subfield":{"id":"https://openalex.org/subfields/1315","display_name":"Structural Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.02810000069439411,"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/voxel","display_name":"Voxel","score":0.7993999719619751},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.659600019454956},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6261000037193298},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6075999736785889},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5871000289916992},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4991999864578247},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4767000079154968},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4481000006198883},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.44040000438690186}],"concepts":[{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.7993999719619751},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7509999871253967},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7013999819755554},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.659600019454956},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6261000037193298},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6075999736785889},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5871000289916992},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4991999864578247},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4767000079154968},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4481000006198883},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.44040000438690186},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4108000099658966},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4092999994754791},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.39590001106262207},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.3488999903202057},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3125999867916107},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.3093999922275543},{"id":"https://openalex.org/C2779097318","wikidata":"https://www.wikidata.org/wiki/Q2993446","display_name":"Connectomics","level":4,"score":0.2924000024795532},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.27900001406669617},{"id":"https://openalex.org/C153008295","wikidata":"https://www.wikidata.org/wiki/Q6535093","display_name":"Level set (data structures)","level":2,"score":0.27619999647140503},{"id":"https://openalex.org/C109950114","wikidata":"https://www.wikidata.org/wiki/Q4464732","display_name":"3D reconstruction","level":2,"score":0.2712000012397766},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.2687000036239624},{"id":"https://openalex.org/C5134670","wikidata":"https://www.wikidata.org/wiki/Q1626444","display_name":"Cut","level":4,"score":0.26669999957084656},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.2558000087738037},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2547000050544739}],"mesh":[{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008854","descriptor_name":"Microscopy, Electron","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008854","descriptor_name":"Microscopy, Electron","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008854","descriptor_name":"Microscopy, Electron","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009474","descriptor_name":"Neurons","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009474","descriptor_name":"Neurons","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009474","descriptor_name":"Neurons","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1109/tmi.2021.3097826","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2021.3097826","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"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 Medical Imaging","raw_type":"journal-article"},{"id":"pmid:34270419","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34270419","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 medical imaging","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:8692755","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8692755","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans Med Imaging","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:8692755","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8692755","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans Med Imaging","raw_type":"Text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2999974750","display_name":null,"funder_award_id":"U19NS104648","funder_id":"https://openalex.org/F4320337359","funder_display_name":"National Institute of Neurological Disorders and Stroke"},{"id":"https://openalex.org/G4012432327","display_name":null,"funder_award_id":"W911NF-12-1-0594","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"},{"id":"https://openalex.org/G4473593834","display_name":null,"funder_award_id":"U01MH114824","funder_id":"https://openalex.org/F4320337346","funder_display_name":"National Institute of Mental Health"},{"id":"https://openalex.org/G5693459747","display_name":null,"funder_award_id":"RF1MH117815","funder_id":"https://openalex.org/F4320337346","funder_display_name":"National Institute of Mental Health"},{"id":"https://openalex.org/G6087836640","display_name":null,"funder_award_id":"U01MH117072","funder_id":"https://openalex.org/F4320337346","funder_display_name":"National Institute of Mental Health"},{"id":"https://openalex.org/G7220013123","display_name":null,"funder_award_id":"R01EY027036","funder_id":"https://openalex.org/F4320337350","funder_display_name":"National Eye Institute"},{"id":"https://openalex.org/G727851730","display_name":null,"funder_award_id":"D16PC0005","funder_id":"https://openalex.org/F4320333051","funder_display_name":"Intelligence Advanced Research Projects Activity"},{"id":"https://openalex.org/G735510994","display_name":null,"funder_award_id":"R01NS104926","funder_id":"https://openalex.org/F4320337359","funder_display_name":"National Institute of Neurological Disorders and Stroke"}],"funders":[{"id":"https://openalex.org/F4320333051","display_name":"Intelligence Advanced Research Projects Activity","ror":"https://ror.org/01v3fsc55"},{"id":"https://openalex.org/F4320337346","display_name":"National Institute of Mental Health","ror":"https://ror.org/04xeg9z08"},{"id":"https://openalex.org/F4320337350","display_name":"National Eye Institute","ror":"https://ror.org/03wkg3b53"},{"id":"https://openalex.org/F4320337359","display_name":"National Institute of Neurological Disorders and Stroke","ror":"https://ror.org/01s5ya894"},{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W1513082520","https://openalex.org/W1898703532","https://openalex.org/W1901129140","https://openalex.org/W2016323639","https://openalex.org/W2026354831","https://openalex.org/W2080858319","https://openalex.org/W2169805405","https://openalex.org/W2535388113","https://openalex.org/W2584383026","https://openalex.org/W2604468722","https://openalex.org/W2623960274","https://openalex.org/W2744404335","https://openalex.org/W2760861884","https://openalex.org/W2802399484","https://openalex.org/W2803790834","https://openalex.org/W2806190463","https://openalex.org/W2893314438","https://openalex.org/W2895933766","https://openalex.org/W2943035624","https://openalex.org/W2949338650","https://openalex.org/W2950435239","https://openalex.org/W2953894958","https://openalex.org/W2955521425","https://openalex.org/W2963167763","https://openalex.org/W2963362118","https://openalex.org/W2963797616","https://openalex.org/W2963833670","https://openalex.org/W2964170444","https://openalex.org/W2964266557","https://openalex.org/W2980134246","https://openalex.org/W2982039064","https://openalex.org/W2995182785","https://openalex.org/W3016007634","https://openalex.org/W3034550906","https://openalex.org/W3092939189","https://openalex.org/W3107285161","https://openalex.org/W4242720000","https://openalex.org/W6630253313","https://openalex.org/W6631190155","https://openalex.org/W6689062947","https://openalex.org/W6729190175","https://openalex.org/W6730410022","https://openalex.org/W6730599023","https://openalex.org/W6736147098","https://openalex.org/W6738486038","https://openalex.org/W6743044124","https://openalex.org/W6747620207","https://openalex.org/W6755449151","https://openalex.org/W6765596737","https://openalex.org/W6767070044","https://openalex.org/W6768087839"],"related_works":[],"abstract_inverted_index":{"We":[0],"show":[1],"dense":[2,40],"voxel":[3,41],"embeddings":[4,42],"learned":[5],"via":[6],"deep":[7],"metric":[8,50],"learning":[9],"can":[10],"be":[11,121],"employed":[12],"to":[13,82],"produce":[14],"a":[15,30,45],"highly":[16],"accurate":[17],"segmentation":[18,61],"of":[19,32,102],"neurons":[20],"from":[21,38,106],"3D":[22,103],"electron":[23,114],"microscopy":[24],"images.":[25],"A":[26],"\"metric":[27],"graph\"":[28],"on":[29,98],"set":[31],"edges":[33,54],"between":[34],"voxels":[35],"is":[36,77],"constructed":[37],"the":[39,49,84,99,107],"generated":[43],"by":[44,88,111],"convolutional":[46,74],"network.":[47],"Partitioning":[48],"graph":[51],"with":[52,62,65],"long-range":[53],"as":[55],"repulsive":[56],"constraints":[57],"yields":[58],"an":[59],"initial":[60],"high":[63],"precision,":[64],"substantial":[66],"accuracy":[67,97],"gain":[68],"for":[69,125],"very":[70],"thin":[71],"objects.":[72],"The":[73],"embedding":[75],"net":[76],"reused":[78],"without":[79],"any":[80],"modification":[81],"agglomerate":[83],"systematic":[85],"splits":[86],"caused":[87],"complex":[89],"\"self-contact\"":[90],"motifs.":[91],"Our":[92,116],"proposed":[93],"method":[94],"achieves":[95],"state-of-the-art":[96],"challenging":[100],"problem":[101],"neuron":[104],"reconstruction":[105],"brain":[108],"images":[109],"acquired":[110],"serial":[112],"section":[113],"microscopy.":[115],"alternative,":[117],"object-centered":[118],"representation":[119],"could":[120],"more":[122],"generally":[123],"useful":[124],"other":[126],"computational":[127],"tasks":[128],"in":[129],"automated":[130],"neural":[131],"circuit":[132],"reconstruction.":[133]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2021-07-19T00:00:00"}