{"id":"https://openalex.org/W2898570661","doi":"https://doi.org/10.1109/tip.2018.2878283","title":"A Blind Stereoscopic Image Quality Evaluator With Segmented Stacked Autoencoders Considering the Whole Visual Perception Route","display_name":"A Blind Stereoscopic Image Quality Evaluator With Segmented Stacked Autoencoders Considering the Whole Visual Perception Route","publication_year":2018,"publication_date":"2018-10-26","ids":{"openalex":"https://openalex.org/W2898570661","doi":"https://doi.org/10.1109/tip.2018.2878283","mag":"2898570661","pmid":"https://pubmed.ncbi.nlm.nih.gov/30371364"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2018.2878283","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2018.2878283","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":true,"oa_status":"green","oa_url":"https://dspace.lboro.ac.uk/2134/35682","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066144350","display_name":"Jiachen Yang","orcid":"https://orcid.org/0000-0003-2558-552X"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiachen Yang","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0003-2558-552X","affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039070324","display_name":"Kyohoon Sim","orcid":"https://orcid.org/0000-0002-5214-7675"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kyohoon Sim","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xinbo Gao","orcid":"https://orcid.org/0000-0003-1443-0776"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinbo Gao","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, School of Electronic Engineering, Xidian University, Xi\u2019an, China","State Key Laboratory of Integrated Services Networks, School of Electronic Engineering, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0003-1443-0776","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, School of Electronic Engineering, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, School of Electronic Engineering, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103080827","display_name":"Wen Lu","orcid":"https://orcid.org/0000-0003-2066-5643"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Lu","raw_affiliation_strings":["School of Electronic Engineering, Xidian University, Xi\u2019an, China","School of Electronic Engineering, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0003-2066-5643","affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014654309","display_name":"Qinggang Meng","orcid":"https://orcid.org/0000-0002-9483-5724"},"institutions":[{"id":"https://openalex.org/I143804889","display_name":"Loughborough University","ror":"https://ror.org/04vg4w365","country_code":"GB","type":"education","lineage":["https://openalex.org/I143804889"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Qinggang Meng","raw_affiliation_strings":["Department of Computer Science, Loughborough University, Loughborough, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Loughborough University, Loughborough, U.K","institution_ids":["https://openalex.org/I143804889"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072835010","display_name":"Baihua Li","orcid":"https://orcid.org/0000-0002-4930-7690"},"institutions":[{"id":"https://openalex.org/I143804889","display_name":"Loughborough University","ror":"https://ror.org/04vg4w365","country_code":"GB","type":"education","lineage":["https://openalex.org/I143804889"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Baihua Li","raw_affiliation_strings":["Department of Computer Science, Loughborough University, Loughborough, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Loughborough University, Loughborough, U.K","institution_ids":["https://openalex.org/I143804889"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5066144350"],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":null,"apc_paid":null,"fwci":3.8242,"has_fulltext":false,"cited_by_count":58,"citation_normalized_percentile":{"value":0.95360797,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":"28","issue":"3","first_page":"1314","last_page":"1328"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9998000264167786,"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":0.9998000264167786,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9919000267982483,"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/T10427","display_name":"Visual perception and processing mechanisms","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7953828573226929},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7595170736312866},{"id":"https://openalex.org/keywords/lateral-geniculate-nucleus","display_name":"Lateral geniculate nucleus","score":0.695775032043457},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6638983488082886},{"id":"https://openalex.org/keywords/visual-cortex","display_name":"Visual cortex","score":0.6275763511657715},{"id":"https://openalex.org/keywords/stereoscopy","display_name":"Stereoscopy","score":0.573858916759491},{"id":"https://openalex.org/keywords/human-visual-system-model","display_name":"Human visual system model","score":0.5488576889038086},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4877811074256897},{"id":"https://openalex.org/keywords/visual-perception","display_name":"Visual perception","score":0.4760403633117676},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.46293678879737854},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44477391242980957},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.43411827087402344},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4287313222885132},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4148557782173157},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.3930186927318573},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22512587904930115}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7953828573226929},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7595170736312866},{"id":"https://openalex.org/C2776362945","wikidata":"https://www.wikidata.org/wiki/Q719179","display_name":"Lateral geniculate nucleus","level":3,"score":0.695775032043457},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6638983488082886},{"id":"https://openalex.org/C2779345533","wikidata":"https://www.wikidata.org/wiki/Q75785","display_name":"Visual cortex","level":2,"score":0.6275763511657715},{"id":"https://openalex.org/C126057942","wikidata":"https://www.wikidata.org/wiki/Q35158","display_name":"Stereoscopy","level":2,"score":0.573858916759491},{"id":"https://openalex.org/C160086991","wikidata":"https://www.wikidata.org/wiki/Q5939193","display_name":"Human visual system model","level":3,"score":0.5488576889038086},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4877811074256897},{"id":"https://openalex.org/C178253425","wikidata":"https://www.wikidata.org/wiki/Q162668","display_name":"Visual perception","level":3,"score":0.4760403633117676},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.46293678879737854},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44477391242980957},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.43411827087402344},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4287313222885132},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4148557782173157},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.3930186927318573},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22512587904930115},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tip.2018.2878283","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2018.2878283","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:30371364","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30371364","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:dspace.lboro.ac.uk:2134/35682","is_oa":true,"landing_page_url":"https://dspace.lboro.ac.uk/2134/35682","pdf_url":null,"source":{"id":"https://openalex.org/S4306401023","display_name":"Loughborough University Institutional Repository (Loughborough University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I143804889","host_organization_name":"Loughborough University","host_organization_lineage":["https://openalex.org/I143804889"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:figshare.com:article/9402071","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/A_blind_stereoscopic_image_quality_evaluator_with_segmented_stacked_autoencoders_considering_the_whole_visual_perception_route/9402071","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:dspace.lboro.ac.uk:2134/35682","is_oa":true,"landing_page_url":"https://dspace.lboro.ac.uk/2134/35682","pdf_url":null,"source":{"id":"https://openalex.org/S4306401023","display_name":"Loughborough University Institutional Repository (Loughborough University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I143804889","host_organization_name":"Loughborough University","host_organization_lineage":["https://openalex.org/I143804889"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7599999904632568,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G8191841786","display_name":null,"funder_award_id":"61871283","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W1500458919","https://openalex.org/W1513661237","https://openalex.org/W1513757501","https://openalex.org/W1593057674","https://openalex.org/W1930650491","https://openalex.org/W1971014006","https://openalex.org/W1971066121","https://openalex.org/W1972491016","https://openalex.org/W1978598038","https://openalex.org/W1981076008","https://openalex.org/W1982471090","https://openalex.org/W1983418666","https://openalex.org/W1999475542","https://openalex.org/W2006277531","https://openalex.org/W2015117675","https://openalex.org/W2015196405","https://openalex.org/W2033941867","https://openalex.org/W2040617105","https://openalex.org/W2043628758","https://openalex.org/W2046119925","https://openalex.org/W2053378394","https://openalex.org/W2054640142","https://openalex.org/W2064875844","https://openalex.org/W2072128103","https://openalex.org/W2073812468","https://openalex.org/W2078509321","https://openalex.org/W2078790114","https://openalex.org/W2083799719","https://openalex.org/W2089947415","https://openalex.org/W2092183812","https://openalex.org/W2092377492","https://openalex.org/W2096227823","https://openalex.org/W2099308462","https://openalex.org/W2100682885","https://openalex.org/W2102591820","https://openalex.org/W2109262272","https://openalex.org/W2114582993","https://openalex.org/W2126552603","https://openalex.org/W2129644086","https://openalex.org/W2130526545","https://openalex.org/W2137186219","https://openalex.org/W2142342155","https://openalex.org/W2144662207","https://openalex.org/W2146881474","https://openalex.org/W2149630656","https://openalex.org/W2153635508","https://openalex.org/W2159814221","https://openalex.org/W2161791892","https://openalex.org/W2162692770","https://openalex.org/W2170947705","https://openalex.org/W2187281534","https://openalex.org/W2219715551","https://openalex.org/W2230418835","https://openalex.org/W2258211000","https://openalex.org/W2310059960","https://openalex.org/W2333530847","https://openalex.org/W2344482072","https://openalex.org/W2417022726","https://openalex.org/W2466868415","https://openalex.org/W3198390318","https://openalex.org/W4231109964","https://openalex.org/W4243154030","https://openalex.org/W6649979526","https://openalex.org/W6660355826","https://openalex.org/W6675423221","https://openalex.org/W6682116641","https://openalex.org/W6683366777"],"related_works":["https://openalex.org/W11242434","https://openalex.org/W2051551602","https://openalex.org/W1890061790","https://openalex.org/W2268167340","https://openalex.org/W3188274792","https://openalex.org/W2059945170","https://openalex.org/W3186638810","https://openalex.org/W2794016691","https://openalex.org/W2066531649","https://openalex.org/W2083281221"],"abstract_inverted_index":{"Most":[0],"of":[1,103,122,127,149,153,175],"the":[2,23,27,36,65,73,98,104,123,147,168],"current":[3],"blind":[4],"stereoscopic":[5],"image":[6],"quality":[7],"assessment":[8],"(SIQA)":[9],"algorithms":[10],"cannot":[11],"show":[12,163],"reliable":[13],"accuracy.":[14],"One":[15],"reason":[16,29],"is":[17,30,111,158],"that":[18,31,132,164],"they":[19,32],"do":[20],"not":[21,115],"have":[22],"deep":[24,101,128],"architectures":[25],"and":[26,57,76,81,90,100,146,156,173],"other":[28],"are":[33,140,177],"designed":[34],"on":[35,44,64,79,142],"relatively":[37],"weak":[38],"biological":[39],"basis,":[40],"compared":[41],"with":[42],"findings":[43],"human":[45],"visual":[46,67,105,170],"system":[47],"(HVS).":[48],"In":[49],"this":[50],"paper,":[51],"we":[52],"propose":[53],"a":[54,134],"Deep":[55],"Edge":[56],"COlor":[58],"Signal":[59],"INtegrity":[60],"Evaluator":[61],"(DECOSINE)":[62],"based":[63],"whole":[66,169],"perception":[68,171],"route":[69,172],"from":[70],"eyes":[71],"to":[72,96],"frontal":[74],"lobe,":[75],"especially":[77],"focus":[78],"edge":[80],"color":[82],"signal":[83],"processing":[84],"in":[85,151],"retinal":[86],"ganglion":[87],"cells":[88],"(RGC)":[89],"lateral":[91],"geniculate":[92],"nucleus":[93],"(LGN).":[94],"Furthermore,":[95],"model":[97,166],"complex":[99],"structure":[102],"cortex,":[106],"Segmented":[107],"Stacked":[108],"Auto-encoder":[109],"(S-SAE)":[110],"used,":[112],"which":[113],"has":[114],"utilized":[116],"for":[117,179],"SIQA":[118,130,144],"before.":[119],"The":[120,160],"utilization":[121,174],"S-SAE":[124,176],"complements":[125],"weakness":[126],"learning-based":[129],"metrics":[131],"require":[133],"very":[135],"long":[136],"training":[137],"time.":[138],"Experiments":[139],"conducted":[141],"popular":[143],"databases,":[145],"superiority":[148],"DECOSINE":[150],"terms":[152],"prediction":[154],"accuracy":[155],"monotonicity":[157],"proved.":[159],"experimental":[161],"results":[162],"our":[165],"about":[167],"effective":[178],"SIQA.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":14}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
