{"id":"https://openalex.org/W2228126342","doi":"https://doi.org/10.1109/jstars.2015.2453014","title":"Hyperspectral Anomaly Detectors Using Robust Estimators","display_name":"Hyperspectral Anomaly Detectors Using Robust Estimators","publication_year":2015,"publication_date":"2015-07-23","ids":{"openalex":"https://openalex.org/W2228126342","doi":"https://doi.org/10.1109/jstars.2015.2453014","mag":"2228126342"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2015.2453014","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2015.2453014","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-01377668","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001036980","display_name":"Joana Frontera\u2013Pons","orcid":"https://orcid.org/0000-0003-0438-5801"},"institutions":[{"id":"https://openalex.org/I102475099","display_name":"Sup\u00e9lec","ror":"https://ror.org/00n7gwn90","country_code":"FR","type":"education","lineage":["https://openalex.org/I102475099"]},{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I4210107720","display_name":"CentraleSup\u00e9lec","ror":"https://ror.org/019tcpt25","country_code":"FR","type":"facility","lineage":["https://openalex.org/I277688954","https://openalex.org/I4210107720"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Joana Frontera-Pons","raw_affiliation_strings":["SONDRA, Sup\u00e9lec, Gif-sur-Yvette, France","SONDRA - Sondra, CentraleSup\u00e9lec, Universit\u00e9 Paris-Saclay (COmUE) (F- 91190 Gif-sur-Yvette - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SONDRA, Sup\u00e9lec, Gif-sur-Yvette, France","institution_ids":["https://openalex.org/I102475099"]},{"raw_affiliation_string":"SONDRA - Sondra, CentraleSup\u00e9lec, Universit\u00e9 Paris-Saclay (COmUE) (F- 91190 Gif-sur-Yvette - France)","institution_ids":["https://openalex.org/I277688954","https://openalex.org/I4210107720"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080644585","display_name":"Miguel A. Veganzones","orcid":"https://orcid.org/0000-0002-4636-2678"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210124956","display_name":"GIPSA-Lab","ror":"https://ror.org/02wrme198","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I4210124956","https://openalex.org/I899635006","https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Miguel Angel Veganzones","raw_affiliation_strings":["CNRS, GIPSA-Lab, Saint Martin d\u2019Hres, France","GIPSA-CICS - GIPSA - Communication Information and Complex Systems (GIPSA-lab, 11 rue des Math\u00e9matiques, Grenoble Campus BP46, F-38402 SAINT MARTIN D'HERES CEDEX - France)","GIPSA-SIGMAPHY - GIPSA - Signal Images Physique (GIPSA-lab, 11 rue des Math\u00e9matiques, Grenoble Campus BP46, F-38402 SAINT MARTIN D'HERES CEDEX - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS, GIPSA-Lab, Saint Martin d\u2019Hres, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210124956"]},{"raw_affiliation_string":"GIPSA-CICS - GIPSA - Communication Information and Complex Systems (GIPSA-lab, 11 rue des Math\u00e9matiques, Grenoble Campus BP46, F-38402 SAINT MARTIN D'HERES CEDEX - France)","institution_ids":["https://openalex.org/I4210124956"]},{"raw_affiliation_string":"GIPSA-SIGMAPHY - GIPSA - Signal Images Physique (GIPSA-lab, 11 rue des Math\u00e9matiques, Grenoble Campus BP46, F-38402 SAINT MARTIN D'HERES CEDEX - France)","institution_ids":["https://openalex.org/I4210124956"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089919393","display_name":"Fr\u00e9d\u00e9ric Pascal","orcid":"https://orcid.org/0000-0003-0196-6395"},"institutions":[{"id":"https://openalex.org/I102475099","display_name":"Sup\u00e9lec","ror":"https://ror.org/00n7gwn90","country_code":"FR","type":"education","lineage":["https://openalex.org/I102475099"]},{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I4210107720","display_name":"CentraleSup\u00e9lec","ror":"https://ror.org/019tcpt25","country_code":"FR","type":"facility","lineage":["https://openalex.org/I277688954","https://openalex.org/I4210107720"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Frederic Pascal","raw_affiliation_strings":["SONDRA, Sup\u00e9lec, Gif-sur-Yvette, France","SONDRA - Sondra, CentraleSup\u00e9lec, Universit\u00e9 Paris-Saclay (COmUE) (F- 91190 Gif-sur-Yvette - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SONDRA, Sup\u00e9lec, Gif-sur-Yvette, France","institution_ids":["https://openalex.org/I102475099"]},{"raw_affiliation_string":"SONDRA - Sondra, CentraleSup\u00e9lec, Universit\u00e9 Paris-Saclay (COmUE) (F- 91190 Gif-sur-Yvette - France)","institution_ids":["https://openalex.org/I277688954","https://openalex.org/I4210107720"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022689387","display_name":"Jean\u2010Philippe Ovarlez","orcid":"https://orcid.org/0000-0001-8056-4196"},"institutions":[{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I2801658355","display_name":"Office National d'\u00c9tudes et de Recherches A\u00e9rospatiales","ror":"https://ror.org/005y2ap84","country_code":"FR","type":"facility","lineage":["https://openalex.org/I2801658355"]},{"id":"https://openalex.org/I4210107720","display_name":"CentraleSup\u00e9lec","ror":"https://ror.org/019tcpt25","country_code":"FR","type":"facility","lineage":["https://openalex.org/I277688954","https://openalex.org/I4210107720"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jean-Philippe Ovarlez","raw_affiliation_strings":["DEMR/TSI, ONERA, Palaiseau, France","SONDRA - Sondra, CentraleSup\u00e9lec, Universit\u00e9 Paris-Saclay (COmUE) (F- 91190 Gif-sur-Yvette - France)","ONERA - The French Aerospace Lab [Palaiseau] (F-91761 Palaiseau - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DEMR/TSI, ONERA, Palaiseau, France","institution_ids":["https://openalex.org/I2801658355"]},{"raw_affiliation_string":"SONDRA - Sondra, CentraleSup\u00e9lec, Universit\u00e9 Paris-Saclay (COmUE) (F- 91190 Gif-sur-Yvette - France)","institution_ids":["https://openalex.org/I277688954","https://openalex.org/I4210107720"]},{"raw_affiliation_string":"ONERA - The French Aerospace Lab [Palaiseau] (F-91761 Palaiseau - France)","institution_ids":["https://openalex.org/I2801658355"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":null,"fwci":3.2636,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.92757009,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"9","issue":"2","first_page":"720","last_page":"731"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9508000016212463,"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/estimator","display_name":"Estimator","score":0.7392921447753906},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.713991641998291},{"id":"https://openalex.org/keywords/mahalanobis-distance","display_name":"Mahalanobis distance","score":0.7012437582015991},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.6681238412857056},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.6314735412597656},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5733511447906494},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5586329102516174},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.48438388109207153},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.4683997333049774},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4539875090122223},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4534856677055359},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.45344075560569763},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4062384366989136},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.375662624835968},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3358190953731537},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.25026214122772217},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.196117103099823}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7392921447753906},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.713991641998291},{"id":"https://openalex.org/C1921717","wikidata":"https://www.wikidata.org/wiki/Q1334846","display_name":"Mahalanobis distance","level":2,"score":0.7012437582015991},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.6681238412857056},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.6314735412597656},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5733511447906494},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5586329102516174},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.48438388109207153},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.4683997333049774},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4539875090122223},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4534856677055359},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.45344075560569763},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4062384366989136},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.375662624835968},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3358190953731537},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.25026214122772217},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.196117103099823},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2015.2453014","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2015.2453014","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-01377668v1","is_oa":true,"landing_page_url":"https://hal.science/hal-01377668","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016, 9 (2), pp.720-731. ⟨10.1109/JSTARS.2015.2453014⟩","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-01377668v1","is_oa":true,"landing_page_url":"https://hal.science/hal-01377668","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016, 9 (2), pp.720-731. ⟨10.1109/JSTARS.2015.2453014⟩","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W10810736","https://openalex.org/W1502461990","https://openalex.org/W1536719366","https://openalex.org/W1540596182","https://openalex.org/W1965928820","https://openalex.org/W1970099214","https://openalex.org/W1971358070","https://openalex.org/W1972578813","https://openalex.org/W1974640819","https://openalex.org/W1978239509","https://openalex.org/W1984614739","https://openalex.org/W1986921156","https://openalex.org/W1990953362","https://openalex.org/W1992511687","https://openalex.org/W2008418230","https://openalex.org/W2012973816","https://openalex.org/W2017014096","https://openalex.org/W2041820528","https://openalex.org/W2046033161","https://openalex.org/W2047870694","https://openalex.org/W2051108596","https://openalex.org/W2057077708","https://openalex.org/W2063698478","https://openalex.org/W2067782748","https://openalex.org/W2086449672","https://openalex.org/W2103286460","https://openalex.org/W2108275959","https://openalex.org/W2115972246","https://openalex.org/W2122861691","https://openalex.org/W2124267685","https://openalex.org/W2127881472","https://openalex.org/W2142219299","https://openalex.org/W2142552707","https://openalex.org/W2558462778","https://openalex.org/W3004366399","https://openalex.org/W3083083886","https://openalex.org/W3148198191","https://openalex.org/W3179903767","https://openalex.org/W4205767108","https://openalex.org/W4230727635","https://openalex.org/W4300246981","https://openalex.org/W6600448088","https://openalex.org/W6632267817","https://openalex.org/W6644218978"],"related_works":["https://openalex.org/W4382795578","https://openalex.org/W2355463328","https://openalex.org/W2072166414","https://openalex.org/W2402648945","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W1431147547","https://openalex.org/W3034375524","https://openalex.org/W2771741613","https://openalex.org/W2055761197"],"abstract_inverted_index":{"Anomaly":[0],"detection":[1,7,30,147],"methods":[2],"are":[3,71,83,104],"devoted":[4],"to":[5,75,93,96,141],"target":[6],"schemes":[8,31],"in":[9,137,145],"which":[10],"no":[11],"a":[12,52],"priori":[13],"information":[14],"about":[15],"the":[16,19,34,45,146,150],"spectra":[17],"of":[18,21,41,80,120],"targets":[20],"interest":[22],"is":[23,56,62,153],"available.":[24],"This":[25],"paper":[26,114],"reviews":[27],"classical":[28],"anomaly":[29,138],"such":[32],"as":[33,134],"widely":[35],"spread":[36],"Reed-Xiaoli":[37],"detector":[38],"and":[39,58,68,73,122,157],"some":[40,142],"its":[42,59],"variations.":[43],"Moreover,":[44],"Mahalanobis":[46],"distance-based":[47],"detector,":[48],"rigorously":[49],"derived":[50,63],"from":[51],"Kelly's":[53],"test-based":[54],"approach,":[55],"analyzed":[57],"exact":[60],"distribution":[61],"when":[64],"both":[65],"mean":[66],"vector":[67],"covariance":[69],"matrix":[70],"unknown":[72],"have":[74],"be":[76],"estimated.":[77],"Although,":[78],"most":[79],"these":[81],"techniques":[82],"based":[84],"on":[85,158],"Gaussian":[86],"distribution,":[87],"we":[88],"also":[89],"propose":[90],"here":[91],"ways":[92],"extend":[94],"them":[95,133],"non-Gaussian":[97,127],"framework.":[98],"For":[99],"this":[100,111,113],"purpose,":[101],"elliptical":[102],"distributions":[103],"considered":[105],"for":[106,126],"background":[107],"statistical":[108],"characterization.":[109],"Through":[110],"assumption,":[112],"describes":[115],"robust":[116],"estimation":[117],"procedures":[118],"(M-estimators":[119],"location":[121],"scale)":[123],"more":[124],"suitable":[125],"environment.":[128],"We":[129],"show":[130],"that":[131],"using":[132],"plug-in":[135],"estimators":[136],"detectors":[139],"leads":[140],"great":[143],"improvement":[144],"process.":[148],"Finally,":[149],"theoretical":[151],"contribution":[152],"validated":[154],"through":[155],"simulations":[156],"real":[159],"hyperspectral":[160],"scenes.":[161]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":4},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-27T08:26:11.824852","created_date":"2025-10-10T00:00:00"}