{"id":"https://openalex.org/W2010727394","doi":"https://doi.org/10.1109/tmi.2014.2305691","title":"Hierarchical Lung Field Segmentation With Joint Shape and Appearance Sparse Learning","display_name":"Hierarchical Lung Field Segmentation With Joint Shape and Appearance Sparse Learning","publication_year":2014,"publication_date":"2014-02-11","ids":{"openalex":"https://openalex.org/W2010727394","doi":"https://doi.org/10.1109/tmi.2014.2305691","mag":"2010727394","pmid":"https://pubmed.ncbi.nlm.nih.gov/25181734"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2014.2305691","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2014.2305691","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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082878649","display_name":"Yeqin Shao","orcid":"https://orcid.org/0000-0001-7868-2767"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yeqin Shao","raw_affiliation_strings":["Shanghai Jiao Tong University, Institution of Image Processing & Pattern Recognition, Shanghai, China","Institution of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Institution of Image Processing & Pattern Recognition, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Institution of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075338951","display_name":"Yaozong Gao","orcid":"https://orcid.org/0000-0002-7547-5209"},"institutions":[{"id":"https://openalex.org/I4210118047","display_name":"Laboratoire d\u2019Imagerie Biom\u00e9dicale","ror":"https://ror.org/02b9znm90","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I154526488","https://openalex.org/I39804081","https://openalex.org/I4210096427","https://openalex.org/I4210118047"]},{"id":"https://openalex.org/I4210166946","display_name":"Imaging Center","ror":"https://ror.org/05hsqsk33","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210166946"]}],"countries":["FR","US"],"is_corresponding":false,"raw_author_name":"Yaozong Gao","raw_affiliation_strings":["Department of Radiology, Biomedical Research Imaging Center (BRIC), Chapel Hill, NC, USA","Biomedical Research Imaging Center"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Biomedical Research Imaging Center (BRIC), Chapel Hill, NC, USA","institution_ids":["https://openalex.org/I4210166946"]},{"raw_affiliation_string":"Biomedical Research Imaging Center","institution_ids":["https://openalex.org/I4210118047","https://openalex.org/I4210166946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068139862","display_name":"Yanrong Guo","orcid":"https://orcid.org/0000-0001-6949-4879"},"institutions":[{"id":"https://openalex.org/I4210118047","display_name":"Laboratoire d\u2019Imagerie Biom\u00e9dicale","ror":"https://ror.org/02b9znm90","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I154526488","https://openalex.org/I39804081","https://openalex.org/I4210096427","https://openalex.org/I4210118047"]},{"id":"https://openalex.org/I4210166946","display_name":"Imaging Center","ror":"https://ror.org/05hsqsk33","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210166946"]}],"countries":["FR","US"],"is_corresponding":false,"raw_author_name":"Yanrong Guo","raw_affiliation_strings":["Department of Radiology, Biomedical Research Imaging Center (BRIC), Chapel Hill, NC, USA","Biomedical Research Imaging Center"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Biomedical Research Imaging Center (BRIC), Chapel Hill, NC, USA","institution_ids":["https://openalex.org/I4210166946"]},{"raw_affiliation_string":"Biomedical Research Imaging Center","institution_ids":["https://openalex.org/I4210118047","https://openalex.org/I4210166946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011596458","display_name":"Yonghong Shi","orcid":"https://orcid.org/0000-0002-2268-2087"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yonghong Shi","raw_affiliation_strings":["Fudan University, Digital Medical Research Center, Shanghai, China","Fudan University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University, Digital Medical Research Center, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"Fudan University","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100635997","display_name":"Xin Yang","orcid":"https://orcid.org/0000-0003-0445-6497"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Yang","raw_affiliation_strings":["Shanghai Jiao Tong University, Institution of Image Processing & Pattern Recognition, Shanghai, China","Shanghai Jiao Tong Univ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Institution of Image Processing & Pattern Recognition, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Shanghai Jiao Tong Univ","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000937401","display_name":"Dinggang Shen","orcid":"https://orcid.org/0000-0002-7934-5698"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]},{"id":"https://openalex.org/I4210166946","display_name":"Imaging Center","ror":"https://ror.org/05hsqsk33","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210166946"]}],"countries":["KR","US"],"is_corresponding":false,"raw_author_name":"Dinggang Shen","raw_affiliation_strings":["Department of Brain and Cognitive Engineering, Korea University, Seoul, Korea","Department of Radiology, Biomedical Research Imaging Center (BRIC), Chapel Hill, NC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Brain and Cognitive Engineering, Korea University, Seoul, Korea","institution_ids":["https://openalex.org/I197347611"]},{"raw_affiliation_string":"Department of Radiology, Biomedical Research Imaging Center (BRIC), Chapel Hill, NC, USA","institution_ids":["https://openalex.org/I4210166946"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.237,"has_fulltext":false,"cited_by_count":66,"citation_normalized_percentile":{"value":0.95343639,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"33","issue":"9","first_page":"1761","last_page":"1780"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.6912000179290771,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.6912000179290771,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.04450000077486038,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.025200000032782555,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6901372671127319},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6169800162315369},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5907033681869507},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5771311521530151},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.5410178899765015},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5405911207199097},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49442386627197266},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4596301019191742},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19108933210372925},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09811457991600037}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6901372671127319},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6169800162315369},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5907033681869507},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5771311521530151},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.5410178899765015},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5405911207199097},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49442386627197266},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4596301019191742},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19108933210372925},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09811457991600037},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008168","descriptor_name":"Lung","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D008168","descriptor_name":"Lung","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D008168","descriptor_name":"Lung","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D013902","descriptor_name":"Radiography, Thoracic","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D013902","descriptor_name":"Radiography, Thoracic","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D013902","descriptor_name":"Radiography, Thoracic","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tmi.2014.2305691","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2014.2305691","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:25181734","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/25181734","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}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.5199999809265137,"id":"https://metadata.un.org/sdg/3"}],"awards":[{"id":"https://openalex.org/G3818461989","display_name":null,"funder_award_id":"CA140413","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"}],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W33507944","https://openalex.org/W56444682","https://openalex.org/W1482621411","https://openalex.org/W1530395742","https://openalex.org/W1562009907","https://openalex.org/W1608700414","https://openalex.org/W1893210478","https://openalex.org/W1920183122","https://openalex.org/W1947468747","https://openalex.org/W1963688560","https://openalex.org/W1981437243","https://openalex.org/W1986289030","https://openalex.org/W1987869189","https://openalex.org/W1988626696","https://openalex.org/W1992533954","https://openalex.org/W1996099259","https://openalex.org/W2005541571","https://openalex.org/W2005876975","https://openalex.org/W2011658829","https://openalex.org/W2023327449","https://openalex.org/W2024798729","https://openalex.org/W2038952578","https://openalex.org/W2047512958","https://openalex.org/W2059911466","https://openalex.org/W2062322640","https://openalex.org/W2067387527","https://openalex.org/W2081018223","https://openalex.org/W2082879096","https://openalex.org/W2089052527","https://openalex.org/W2104095591","https://openalex.org/W2104962578","https://openalex.org/W2110872054","https://openalex.org/W2119479037","https://openalex.org/W2120621413","https://openalex.org/W2121782097","https://openalex.org/W2121923417","https://openalex.org/W2129812935","https://openalex.org/W2132731342","https://openalex.org/W2132858874","https://openalex.org/W2138473892","https://openalex.org/W2140550497","https://openalex.org/W2141453390","https://openalex.org/W2142514727","https://openalex.org/W2152826865","https://openalex.org/W2156564374","https://openalex.org/W2160547390","https://openalex.org/W2161969291","https://openalex.org/W2163352848","https://openalex.org/W2165232124","https://openalex.org/W2722851397","https://openalex.org/W3097096317","https://openalex.org/W3099514962","https://openalex.org/W4285719527","https://openalex.org/W4301003819","https://openalex.org/W6628860475","https://openalex.org/W6636525182","https://openalex.org/W6639744074","https://openalex.org/W6640117558","https://openalex.org/W6640668621","https://openalex.org/W6672767915"],"related_works":["https://openalex.org/W1996130883","https://openalex.org/W2748574964","https://openalex.org/W2888483922","https://openalex.org/W4379231730","https://openalex.org/W2367747139","https://openalex.org/W4389858081","https://openalex.org/W4391102217","https://openalex.org/W2566187525","https://openalex.org/W2566334511","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Lung":[0],"field":[1,28,57,204],"segmentation":[2,29,147,205],"in":[3,130,174],"the":[4,83,107,127,139,153,183,191,201,220],"posterior-anterior":[5],"(PA)":[6],"chest":[7,31,172],"radiograph":[8,32],"is":[9,33,72,80,149,167,217],"important":[10],"for":[11,52,160],"pulmonary":[12],"disease":[13],"diagnosis":[14],"and":[15,23,47,54,156,162,187,194],"hemodialysis":[16],"treatment.":[17],"Due":[18],"to":[19,74,82,105,125,151,219],"high":[20,108],"shape":[21,46,69,78,94,103,109,155,186,193],"variation":[22],"boundary":[24,85,133,141],"ambiguity,":[25],"accurate":[26,55,163],"lung":[27,56,84,102,132,140,203],"from":[30],"still":[34],"a":[35,44,67,89,112,144,175,213],"challenging":[36],"task.":[37],"To":[38],"tackle":[39],"these":[40],"challenges,":[41],"we":[42],"propose":[43],"joint":[45],"appearance":[48,116,128,157,188,195],"sparse":[49,93,123],"learning":[50],"method":[51,71,166,210],"robust":[53,68,161],"segmentation.":[58,164],"The":[59,178],"main":[60],"contributions":[61],"of":[62,91,114,200],"this":[63],"paper":[64],"are:":[65],"1)":[66],"initialization":[70],"designed":[73],"achieve":[75],"an":[76],"initial":[77],"that":[79,182],"close":[81],"under":[86,207],"segmentation;":[87],"2)":[88],"set":[90,113],"local":[92,101,115,131,185],"composition":[95],"models":[96,117,189],"are":[97,118],"built":[98],"based":[99],"on":[100,169],"segments":[104],"overcome":[106],"variations;":[110],"3)":[111],"similarly":[119],"adopted":[120],"by":[121],"using":[122],"representation":[124],"capture":[126],"characteristics":[129],"segments,":[134],"thus":[135],"effectively":[136],"dealing":[137],"with":[138,198],"ambiguity;":[142],"4)":[143],"hierarchical":[145],"deformable":[146],"framework":[148],"proposed":[150,184],"integrate":[152],"scale-dependent":[154],"information":[158],"together":[159],"Our":[165],"evaluated":[168],"247":[170],"PA":[171],"radiographs":[173],"public":[176],"dataset.":[177],"experimental":[179],"results":[180],"show":[181],"outperform":[190],"conventional":[192],"models.":[196],"Compared":[197],"most":[199],"state-of-the-art":[202],"methods":[206],"comparison,":[208],"our":[209],"also":[211],"shows":[212],"higher":[214],"accuracy,":[215],"which":[216],"comparable":[218],"inter-observer":[221],"annotation":[222],"variation.":[223]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}