{"id":"https://openalex.org/W4312524743","doi":"https://doi.org/10.1109/access.2022.3221956","title":"Blind Quality Assessment of Tone-Mapped Images Based on Visual-Processing Features","display_name":"Blind Quality Assessment of Tone-Mapped Images Based on Visual-Processing Features","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4312524743","doi":"https://doi.org/10.1109/access.2022.3221956"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3221956","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3221956","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2022.3221956","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086083099","display_name":"Donghui Wan","orcid":"https://orcid.org/0000-0001-7225-4569"},"institutions":[{"id":"https://openalex.org/I3018263800","display_name":"Huzhou University","ror":"https://ror.org/04mvpxy20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3018263800"]},{"id":"https://openalex.org/I75689368","display_name":"Communication University of China","ror":"https://ror.org/04facbs33","country_code":"CN","type":"education","lineage":["https://openalex.org/I75689368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Donghui Wan","raw_affiliation_strings":["School of Information and Communication Engineering, Communication University of China, Beijing, China","School of Electronic Information, Huzhou College, Huzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-7225-4569","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Communication University of China, Beijing, China","institution_ids":["https://openalex.org/I75689368"]},{"raw_affiliation_string":"School of Electronic Information, Huzhou College, Huzhou, China","institution_ids":["https://openalex.org/I3018263800"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001235027","display_name":"Xiuhua Jiang","orcid":"https://orcid.org/0000-0002-2422-942X"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]},{"id":"https://openalex.org/I75689368","display_name":"Communication University of China","ror":"https://ror.org/04facbs33","country_code":"CN","type":"education","lineage":["https://openalex.org/I75689368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiuhua Jiang","raw_affiliation_strings":["School of Information and Communication Engineering, Communication University of China, Beijing, China","Peng Cheng Laboratory, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-2422-942X","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Communication University of China, Beijing, China","institution_ids":["https://openalex.org/I75689368"]},{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102913360","display_name":"Cheng Guo","orcid":"https://orcid.org/0000-0002-2660-2267"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]},{"id":"https://openalex.org/I75689368","display_name":"Communication University of China","ror":"https://ror.org/04facbs33","country_code":"CN","type":"education","lineage":["https://openalex.org/I75689368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Guo","raw_affiliation_strings":["School of Information and Communication Engineering, Communication University of China, Beijing, China","Peng Cheng Laboratory, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-2660-2267","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Communication University of China, Beijing, China","institution_ids":["https://openalex.org/I75689368"]},{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071793944","display_name":"Qing Shen","orcid":"https://orcid.org/0000-0002-0702-6583"},"institutions":[{"id":"https://openalex.org/I3018263800","display_name":"Huzhou University","ror":"https://ror.org/04mvpxy20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3018263800"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Shen","raw_affiliation_strings":["School of Electronic Information, Huzhou College, Huzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Information, Huzhou College, Huzhou, China","institution_ids":["https://openalex.org/I3018263800"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.5077,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.65015401,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"10","issue":null,"first_page":"128207","last_page":"128217"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9991999864578247,"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":0.9991999864578247,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9987999796867371,"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/T11666","display_name":"Color Science and Applications","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8056603670120239},{"id":"https://openalex.org/keywords/tone-mapping","display_name":"Tone mapping","score":0.7870361804962158},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.704975426197052},{"id":"https://openalex.org/keywords/human-visual-system-model","display_name":"Human visual system model","score":0.643974781036377},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.6250816583633423},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6054002046585083},{"id":"https://openalex.org/keywords/high-dynamic-range","display_name":"High dynamic range","score":0.5114623308181763},{"id":"https://openalex.org/keywords/chromatic-scale","display_name":"Chromatic scale","score":0.4919142723083496},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.4762685000896454},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.46017614006996155},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.460074245929718},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.45440030097961426},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4513477683067322},{"id":"https://openalex.org/keywords/quality-score","display_name":"Quality Score","score":0.4450134336948395},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.4405823349952698},{"id":"https://openalex.org/keywords/visual-perception","display_name":"Visual perception","score":0.4351904094219208},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4307529032230377},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4109857380390167},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2054021656513214},{"id":"https://openalex.org/keywords/dynamic-range","display_name":"Dynamic range","score":0.1869092583656311},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14449119567871094}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8056603670120239},{"id":"https://openalex.org/C8641274","wikidata":"https://www.wikidata.org/wiki/Q1030958","display_name":"Tone mapping","level":4,"score":0.7870361804962158},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.704975426197052},{"id":"https://openalex.org/C160086991","wikidata":"https://www.wikidata.org/wiki/Q5939193","display_name":"Human visual system model","level":3,"score":0.643974781036377},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.6250816583633423},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6054002046585083},{"id":"https://openalex.org/C2780056265","wikidata":"https://www.wikidata.org/wiki/Q106239881","display_name":"High dynamic range","level":3,"score":0.5114623308181763},{"id":"https://openalex.org/C196956537","wikidata":"https://www.wikidata.org/wiki/Q202021","display_name":"Chromatic scale","level":2,"score":0.4919142723083496},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.4762685000896454},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.46017614006996155},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.460074245929718},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.45440030097961426},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4513477683067322},{"id":"https://openalex.org/C2779346075","wikidata":"https://www.wikidata.org/wiki/Q7268763","display_name":"Quality Score","level":3,"score":0.4450134336948395},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.4405823349952698},{"id":"https://openalex.org/C178253425","wikidata":"https://www.wikidata.org/wiki/Q162668","display_name":"Visual perception","level":3,"score":0.4351904094219208},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4307529032230377},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4109857380390167},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2054021656513214},{"id":"https://openalex.org/C87133666","wikidata":"https://www.wikidata.org/wiki/Q1161699","display_name":"Dynamic range","level":2,"score":0.1869092583656311},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14449119567871094},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"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},{"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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"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/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2022.3221956","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3221956","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:907aadea5aca4b98ad3c3564e2b1b5a8","is_oa":true,"landing_page_url":"https://doaj.org/article/907aadea5aca4b98ad3c3564e2b1b5a8","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 10, Pp 128207-128217 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3221956","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3221956","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.4399999976158142}],"awards":[{"id":"https://openalex.org/G3334457826","display_name":null,"funder_award_id":"61802123","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4499490849","display_name":null,"funder_award_id":"2020C01097","funder_id":"https://openalex.org/F4320327829","funder_display_name":"Primary Research and Development Plan of Zhejiang Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320327829","display_name":"Primary Research and Development Plan of Zhejiang Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1505723240","https://openalex.org/W1534426948","https://openalex.org/W1580389772","https://openalex.org/W1971155098","https://openalex.org/W1972006393","https://openalex.org/W1976478698","https://openalex.org/W1977246677","https://openalex.org/W1979649681","https://openalex.org/W1982471090","https://openalex.org/W1997781091","https://openalex.org/W2033603537","https://openalex.org/W2058483899","https://openalex.org/W2068836533","https://openalex.org/W2090756584","https://openalex.org/W2092305139","https://openalex.org/W2099616257","https://openalex.org/W2102166818","https://openalex.org/W2120838001","https://openalex.org/W2133665775","https://openalex.org/W2158546915","https://openalex.org/W2267075856","https://openalex.org/W2285151583","https://openalex.org/W2293876531","https://openalex.org/W2294368874","https://openalex.org/W2294940286","https://openalex.org/W2414640440","https://openalex.org/W2508323410","https://openalex.org/W2588998993","https://openalex.org/W2603172850","https://openalex.org/W2615207113","https://openalex.org/W2738692335","https://openalex.org/W2746214548","https://openalex.org/W2746556728","https://openalex.org/W2765934933","https://openalex.org/W2768340063","https://openalex.org/W2801643666","https://openalex.org/W2835045226","https://openalex.org/W2896233615","https://openalex.org/W2914824662","https://openalex.org/W2941893282","https://openalex.org/W2960513345","https://openalex.org/W3016375766","https://openalex.org/W3102939503","https://openalex.org/W3144619878","https://openalex.org/W4214862086"],"related_works":["https://openalex.org/W2884377208","https://openalex.org/W2014689642","https://openalex.org/W2115969764","https://openalex.org/W2028994033","https://openalex.org/W2404808571","https://openalex.org/W2008675431","https://openalex.org/W1965307097","https://openalex.org/W976151698","https://openalex.org/W3201593917","https://openalex.org/W3117059651"],"abstract_inverted_index":{"Albeit":[0],"high":[1],"dynamic":[2,12],"range":[3,13],"(HDR)":[4],"images":[5,40],"contain":[6],"way":[7],"richer":[8],"information":[9],"than":[10],"low":[11],"(LDR)":[14],"images,":[15],"they":[16,38],"need":[17],"to":[18,102,148,173],"be":[19],"tone":[20],"mapped":[21],"for":[22,58,203],"the":[23,60,69,88,99,103,109,114,122,150,165,171,175,183,192],"visualization":[24],"on":[25,213],"traditional":[26],"display":[27],"devices.":[28],"The":[29],"community":[30],"has":[31],"developed":[32],"diverse":[33],"tone-mapping":[34],"operators":[35],"(TMOs),":[36],"and":[37,111,155,159,167,180,226],"produce":[39],"with":[41,50,223],"varying":[42],"qualities.":[43],"Therefore,":[44],"developing":[45],"effective":[46],"evaluation":[47],"methods":[48],"consistent":[49],"human":[51,91],"visual":[52,92,128,153],"perception":[53,115,225],"is":[54],"an":[55],"urgent":[56],"necessity":[57],"determining":[59],"best":[61],"TMO":[62],"in":[63,139,164],"specific":[64],"scenarios,":[65],"or":[66],"accordingly":[67],"optimizing":[68],"parameters":[70],"of":[71,90,106,126,152,170,195],"a":[72,80],"certain":[73],"TMO.":[74],"Towards":[75],"this":[76],"end,":[77],"we":[78,118],"propose":[79],"new":[81],"blind":[82],"quality":[83,204,230],"assessment":[84,205,231],"model":[85],"by":[86,178,206],"simulating":[87],"mechanism":[89],"processing":[93],"(HVS),":[94],"which":[95],"can":[96],"adaptively":[97],"adjust":[98],"sensitivity":[100],"according":[101],"chromatic":[104],"properties":[105],"scenes":[107],"at":[108],"beginning":[110],"well":[112],"represent":[113,149],"process.":[116],"Specifically,":[117],"first":[119],"obtain":[120],"all":[121,198],"retinal":[123],"response":[124],"maps":[125,172],"four":[127],"sensitivities":[129],"from":[130],"three":[131],"opponent":[132],"color":[133,141],"channels.":[134],"After":[135],"that,":[136],"gradient":[137],"similarities":[138],"each":[140],"channel":[142],"are":[143,162,189,201],"calculated":[144],"as":[145,191],"global":[146],"features":[147,200],"procedure":[151],"experience,":[154],"local":[156],"mean":[157],"values":[158],"standard":[160],"deviations":[161],"computed":[163],"brightest":[166],"darkest":[168],"regions":[169],"measure":[174],"distortions":[176],"caused":[177],"over-":[179],"under-exposure.":[181],"Meanwhile,":[182],"maps\u2019":[184],"natural":[185],"scene":[186],"statistics":[187],"(NSS)":[188],"utilized":[190],"third":[193],"set":[194],"features.":[196],"Finally,":[197],"these":[199],"blended":[202],"support":[207],"vector":[208],"regression":[209],"(SVR).":[210],"Extensive":[211],"experiments":[212],"two":[214],"public":[215],"benchmark":[216],"databases":[217],"show":[218],"our":[219],"method":[220],"correlates":[221],"highly":[222],"subjective":[224],"outperforms":[227],"other":[228],"state-of-the-art":[229],"methods.":[232]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}