{"id":"https://openalex.org/W2162692770","doi":"https://doi.org/10.1109/tip.2012.2191563","title":"Blind Image Quality Assessment: A Natural Scene Statistics Approach in the DCT Domain","display_name":"Blind Image Quality Assessment: A Natural Scene Statistics Approach in the DCT Domain","publication_year":2012,"publication_date":"2012-03-22","ids":{"openalex":"https://openalex.org/W2162692770","doi":"https://doi.org/10.1109/tip.2012.2191563","mag":"2162692770","pmid":"https://pubmed.ncbi.nlm.nih.gov/22453635"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2012.2191563","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2012.2191563","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","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/A5108522841","display_name":"Michele A. Saad","orcid":null},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M. A. Saad","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Texas, Austin, TX, USA","Dept of Electr. & Comput. Eng., Univ. of Texas, Austin, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Texas, Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]},{"raw_affiliation_string":"Dept of Electr. & Comput. Eng., Univ. of Texas, Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075463806","display_name":"Alan C. Bovik","orcid":"https://orcid.org/0000-0001-6067-710X"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A. C. Bovik","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Texas, Austin, TX, USA","Dept of Electr. & Comput. Eng., Univ. of Texas, Austin, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Texas, Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]},{"raw_affiliation_string":"Dept of Electr. & Comput. Eng., Univ. of Texas, Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113477650","display_name":"Christophe Charrier","orcid":"https://orcid.org/0000-0002-3836-9829"},"institutions":[{"id":"https://openalex.org/I4210110254","display_name":"Laboratoire de Physique Corpusculaire de Caen","ror":"https://ror.org/022txr781","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I194210350","https://openalex.org/I4210105918","https://openalex.org/I4210105918","https://openalex.org/I4210110254","https://openalex.org/I4210133362","https://openalex.org/I98702875"]},{"id":"https://openalex.org/I98702875","display_name":"Universit\u00e9 de Caen Normandie","ror":"https://ror.org/051kpcy16","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210105918","https://openalex.org/I98702875"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"C. Charrier","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Caen, Caen, France","Dept. of Electr. & Comput. Eng., Univ. of Caen, Caen, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Caen, Caen, France","institution_ids":["https://openalex.org/I98702875","https://openalex.org/I4210110254"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Univ. of Caen, Caen, France","institution_ids":["https://openalex.org/I98702875"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":65.2459,"has_fulltext":false,"cited_by_count":1734,"citation_normalized_percentile":{"value":0.99948429,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"21","issue":"8","first_page":"3339","last_page":"3352"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9998999834060669,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9977999925613403,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9894999861717224,"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/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.8397645950317383},{"id":"https://openalex.org/keywords/quality-score","display_name":"Quality Score","score":0.6890524625778198},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.6805828213691711},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.653823733329773},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6206501126289368},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5557128190994263},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5465261340141296},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.45808401703834534},{"id":"https://openalex.org/keywords/scene-statistics","display_name":"Scene statistics","score":0.45659905672073364},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4552454352378845},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.44679829478263855},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4294971525669098},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3605189323425293},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35415077209472656},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.12204068899154663}],"concepts":[{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.8397645950317383},{"id":"https://openalex.org/C2779346075","wikidata":"https://www.wikidata.org/wiki/Q7268763","display_name":"Quality Score","level":3,"score":0.6890524625778198},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.6805828213691711},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.653823733329773},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6206501126289368},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5557128190994263},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5465261340141296},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.45808401703834534},{"id":"https://openalex.org/C197654239","wikidata":"https://www.wikidata.org/wiki/Q7430757","display_name":"Scene statistics","level":3,"score":0.45659905672073364},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4552454352378845},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.44679829478263855},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4294971525669098},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3605189323425293},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35415077209472656},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.12204068899154663},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[{"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":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003627","descriptor_name":"Data Interpretation, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003627","descriptor_name":"Data Interpretation, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003627","descriptor_name":"Data Interpretation, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007089","descriptor_name":"Image Enhancement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007089","descriptor_name":"Image Enhancement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007089","descriptor_name":"Image Enhancement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016037","descriptor_name":"Single-Blind Method","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016037","descriptor_name":"Single-Blind Method","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016037","descriptor_name":"Single-Blind Method","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/tip.2012.2191563","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2012.2191563","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:22453635","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/22453635","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 image processing : a publication of the IEEE Signal Processing Society","raw_type":null},{"id":"pmh:oai:HAL:hal-00811769v1","is_oa":false,"landing_page_url":"https://hal.science/hal-00811769","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Image Processing, 2012, 21 (8), pp.3339-3352. ⟨10.1109/TIP.2012.2191563⟩","raw_type":"Journal articles"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W262333251","https://openalex.org/W1580389772","https://openalex.org/W1968590503","https://openalex.org/W1972348417","https://openalex.org/W1976667168","https://openalex.org/W1987125655","https://openalex.org/W1991221331","https://openalex.org/W1997781091","https://openalex.org/W2004871019","https://openalex.org/W2007148047","https://openalex.org/W2007302813","https://openalex.org/W2009272644","https://openalex.org/W2040209392","https://openalex.org/W2046119925","https://openalex.org/W2058476306","https://openalex.org/W2059978765","https://openalex.org/W2073223336","https://openalex.org/W2078999620","https://openalex.org/W2081656196","https://openalex.org/W2089500640","https://openalex.org/W2103232506","https://openalex.org/W2105815873","https://openalex.org/W2106775624","https://openalex.org/W2119999314","https://openalex.org/W2124562516","https://openalex.org/W2125654704","https://openalex.org/W2129644086","https://openalex.org/W2130055919","https://openalex.org/W2132168663","https://openalex.org/W2133665775","https://openalex.org/W2140103989","https://openalex.org/W2140399523","https://openalex.org/W2141383680","https://openalex.org/W2142731874","https://openalex.org/W2142884912","https://openalex.org/W2157963336","https://openalex.org/W2158162781","https://openalex.org/W2163084851","https://openalex.org/W2163370434","https://openalex.org/W2165222134","https://openalex.org/W2169037956","https://openalex.org/W2171181782","https://openalex.org/W2324971623","https://openalex.org/W2401074407","https://openalex.org/W3122510310","https://openalex.org/W3182211633","https://openalex.org/W6701249984","https://openalex.org/W6713054389"],"related_works":["https://openalex.org/W3194862240","https://openalex.org/W2782916784","https://openalex.org/W4206325381","https://openalex.org/W2295706819","https://openalex.org/W2043597472","https://openalex.org/W2287569001","https://openalex.org/W4226186675","https://openalex.org/W54224318","https://openalex.org/W2552902349","https://openalex.org/W2104070163"],"abstract_inverted_index":{"We":[0],"develop":[1],"an":[2,61],"efficient,":[3],"general-purpose,":[4],"blind/noreference":[5],"image":[6,49,66],"quality":[7,50,98,128,145],"assessment":[8],"(NR-IQA)":[9],"algorithm":[10,25],"using":[11],"a":[12,42,91,112,124,169],"natural":[13],"scene":[14],"statistics":[15],"(NSS)":[16],"model":[17,46,63,74,115,139],"of":[18,32,64,72,83,134,147,166],"discrete":[19],"cosine":[20],"transform":[21],"(DCT)":[22],"coefficients.":[23,68],"The":[24,38,56,69,100],"is":[26,140,158,172],"computationally":[27],"appealing,":[28],"given":[29,52],"the":[30,65,73,120,127,132,135,143,153,175],"availability":[31],"platforms":[33],"optimized":[34],"for":[35,116],"DCT":[36,67],"computation.":[37],"approach":[39,95],"relies":[40],"on":[41,60,152],"simple":[43,92,113],"Bayesian":[44,93],"inference":[45,94,138],"to":[47,77,96,160],"predict":[48,97],"scores":[51],"certain":[53],"extracted":[54,121],"features.":[55],"features":[57,79,87,122],"are":[58,75,81,88],"based":[59],"NSS":[62],"estimated":[70],"parameters":[71],"utilized":[76],"form":[78],"that":[80,130,148,171],"indicative":[82],"perceptual":[84],"quality.":[85],"These":[86],"used":[89],"in":[90],"scores.":[99],"resulting":[101],"algorithm,":[102],"which":[103],"we":[104],"name":[105],"BLIINDS-II,":[106],"requires":[107],"minimal":[108],"training":[109],"and":[110],"adopts":[111],"probabilistic":[114],"score":[117,129,146],"prediction.":[118],"Given":[119],"from":[123],"test":[125],"image,":[126],"maximizes":[131],"probability":[133],"empirically":[136],"determined":[137],"chosen":[141],"as":[142],"predicted":[144],"image.":[149],"When":[150],"tested":[151],"LIVE":[154],"IQA":[155],"database,":[156],"BLIINDS-II":[157],"shown":[159],"correlate":[161],"highly":[162],"with":[163,174],"human":[164],"judgments":[165],"quality,":[167],"at":[168],"level":[170],"competitive":[173],"popular":[176],"SSIM":[177],"index.":[178]},"counts_by_year":[{"year":2026,"cited_by_count":29},{"year":2025,"cited_by_count":105},{"year":2024,"cited_by_count":129},{"year":2023,"cited_by_count":142},{"year":2022,"cited_by_count":153},{"year":2021,"cited_by_count":154},{"year":2020,"cited_by_count":150},{"year":2019,"cited_by_count":170},{"year":2018,"cited_by_count":182},{"year":2017,"cited_by_count":157},{"year":2016,"cited_by_count":128},{"year":2015,"cited_by_count":98},{"year":2014,"cited_by_count":93},{"year":2013,"cited_by_count":39},{"year":2012,"cited_by_count":5}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}