{"id":"https://openalex.org/W2973142113","doi":"https://doi.org/10.1109/access.2019.2940137","title":"Multi-Threshold Corner Detection and Region Matching Algorithm Based on Texture Classification","display_name":"Multi-Threshold Corner Detection and Region Matching Algorithm Based on Texture Classification","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2973142113","doi":"https://doi.org/10.1109/access.2019.2940137","mag":"2973142113"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2940137","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2940137","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08827494.pdf","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://ieeexplore.ieee.org/ielx7/6287639/8600701/08827494.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061318397","display_name":"Zetian Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zetian Tang","raw_affiliation_strings":["Guizhou Key Laboratory of Micro-Nano-Electronics and Software Technology, Engineering Center of the Ministry of Education of Semiconductor Power Device Reliability, College of Big Data and Information Engineering, Guizhou University, Guiyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guizhou Key Laboratory of Micro-Nano-Electronics and Software Technology, Engineering Center of the Ministry of Education of Semiconductor Power Device Reliability, College of Big Data and Information Engineering, Guizhou University, Guiyang, China","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045820629","display_name":"Zhao Ding","orcid":"https://orcid.org/0000-0002-1700-0643"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhao Ding","raw_affiliation_strings":["Guizhou Key Laboratory of Micro-Nano-Electronics and Software Technology, Engineering Center of the Ministry of Education of Semiconductor Power Device Reliability, College of Big Data and Information Engineering, Guizhou University, Guiyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guizhou Key Laboratory of Micro-Nano-Electronics and Software Technology, Engineering Center of the Ministry of Education of Semiconductor Power Device Reliability, College of Big Data and Information Engineering, Guizhou University, Guiyang, China","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020555753","display_name":"Ruimin Zeng","orcid":null},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruimin Zeng","raw_affiliation_strings":["Guizhou Key Laboratory of Micro-Nano-Electronics and Software Technology, Engineering Center of the Ministry of Education of Semiconductor Power Device Reliability, College of Big Data and Information Engineering, Guizhou University, Guiyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guizhou Key Laboratory of Micro-Nano-Electronics and Software Technology, Engineering Center of the Ministry of Education of Semiconductor Power Device Reliability, College of Big Data and Information Engineering, Guizhou University, Guiyang, China","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101398880","display_name":"Yang Wang","orcid":"https://orcid.org/0000-0001-9447-1791"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Wang","raw_affiliation_strings":["Guizhou Key Laboratory of Micro-Nano-Electronics and Software Technology, Engineering Center of the Ministry of Education of Semiconductor Power Device Reliability, College of Big Data and Information Engineering, Guizhou University, Guiyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guizhou Key Laboratory of Micro-Nano-Electronics and Software Technology, Engineering Center of the Ministry of Education of Semiconductor Power Device Reliability, College of Big Data and Information Engineering, Guizhou University, Guiyang, China","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102679711","display_name":"Jun Wen","orcid":null},"institutions":[{"id":"https://openalex.org/I150807315","display_name":"Guangxi University","ror":"https://ror.org/02c9qn167","country_code":"CN","type":"education","lineage":["https://openalex.org/I150807315"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Wen","raw_affiliation_strings":["School of Computer and Electrical Information, Guangxi University, Nanning, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Electrical Information, Guangxi University, Nanning, China","institution_ids":["https://openalex.org/I150807315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109012684","display_name":"Lifeng Bian","orcid":"https://orcid.org/0000-0001-6196-7424"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210092495","display_name":"Suzhou Institute of Nano-tech and Nano-bionics","ror":"https://ror.org/0027d9x02","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210092495"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lifeng Bian","raw_affiliation_strings":["Key Laboratory of Nanodevices and Applications, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Nanodevices and Applications, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou, China","institution_ids":["https://openalex.org/I4210092495","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057602729","display_name":"Chen Yang","orcid":"https://orcid.org/0000-0001-5738-9641"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Yang","raw_affiliation_strings":["Guizhou Key Laboratory of Micro-Nano-Electronics and Software Technology, Engineering Center of the Ministry of Education of Semiconductor Power Device Reliability, College of Big Data and Information Engineering, Guizhou University, Guiyang, China"],"raw_orcid":"https://orcid.org/0000-0001-5738-9641","affiliations":[{"raw_affiliation_string":"Guizhou Key Laboratory of Micro-Nano-Electronics and Software Technology, Engineering Center of the Ministry of Education of Semiconductor Power Device Reliability, College of Big Data and Information Engineering, Guizhou University, Guiyang, China","institution_ids":["https://openalex.org/I178232147"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"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":0.2034,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.54524698,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"7","issue":null,"first_page":"128372","last_page":"128383"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994999766349792,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994999766349792,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9959999918937683,"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/speedup","display_name":"Speedup","score":0.7385554909706116},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6305056214332581},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.601949155330658},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5700978636741638},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5649115443229675},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5363527536392212},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.533332884311676},{"id":"https://openalex.org/keywords/texture-filtering","display_name":"Texture filtering","score":0.5168564915657043},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5143676996231079},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.49692633748054504},{"id":"https://openalex.org/keywords/image-stitching","display_name":"Image stitching","score":0.4717962145805359},{"id":"https://openalex.org/keywords/texture-compression","display_name":"Texture compression","score":0.4535234868526459},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.4158928394317627},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3537183403968811},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.31963902711868286},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2831118106842041},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08304807543754578}],"concepts":[{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.7385554909706116},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6305056214332581},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.601949155330658},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5700978636741638},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5649115443229675},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5363527536392212},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.533332884311676},{"id":"https://openalex.org/C144743038","wikidata":"https://www.wikidata.org/wiki/Q3267765","display_name":"Texture filtering","level":5,"score":0.5168564915657043},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5143676996231079},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.49692633748054504},{"id":"https://openalex.org/C29081049","wikidata":"https://www.wikidata.org/wiki/Q1364242","display_name":"Image stitching","level":2,"score":0.4717962145805359},{"id":"https://openalex.org/C54243161","wikidata":"https://www.wikidata.org/wiki/Q39333","display_name":"Texture compression","level":5,"score":0.4535234868526459},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.4158928394317627},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3537183403968811},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.31963902711868286},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2831118106842041},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08304807543754578},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2940137","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2940137","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08827494.pdf","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:703c4a562dad49bd818177f223459f88","is_oa":true,"landing_page_url":"https://doaj.org/article/703c4a562dad49bd818177f223459f88","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 7, Pp 128372-128383 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2940137","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2940137","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08827494.pdf","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":[],"awards":[{"id":"https://openalex.org/G5392478635","display_name":null,"funder_award_id":"61604046","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7552419630","display_name":null,"funder_award_id":"[2018]5781","funder_id":"https://openalex.org/F4320322272","funder_display_name":"Guizhou Science and Technology Department"},{"id":"https://openalex.org/G8147327638","display_name":null,"funder_award_id":"[2017]5788","funder_id":"https://openalex.org/F4320322272","funder_display_name":"Guizhou Science and Technology Department"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322272","display_name":"Guizhou Science and Technology Department","ror":"https://ror.org/00kwnh405"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1557067153","https://openalex.org/W1847491002","https://openalex.org/W1971240430","https://openalex.org/W1988511239","https://openalex.org/W2000083214","https://openalex.org/W2022281945","https://openalex.org/W2032600853","https://openalex.org/W2047243114","https://openalex.org/W2069646884","https://openalex.org/W2085095116","https://openalex.org/W2092787570","https://openalex.org/W2111308925","https://openalex.org/W2117459814","https://openalex.org/W2133665775","https://openalex.org/W2146994533","https://openalex.org/W2162374132","https://openalex.org/W2218665234","https://openalex.org/W2464190088","https://openalex.org/W2484497837","https://openalex.org/W2602121549","https://openalex.org/W2605207344","https://openalex.org/W2619082224","https://openalex.org/W2897787399","https://openalex.org/W2900021640","https://openalex.org/W6718991951"],"related_works":["https://openalex.org/W2165772202","https://openalex.org/W2166724105","https://openalex.org/W2154859065","https://openalex.org/W1983661653","https://openalex.org/W2093957690","https://openalex.org/W2743128629","https://openalex.org/W2003873690","https://openalex.org/W2115502907","https://openalex.org/W2359713774","https://openalex.org/W2035842265"],"abstract_inverted_index":{"In":[0,164,188],"order":[1],"to":[2,74,90,112,130,146,175,253],"address":[3],"the":[4,43,59,86,95,119,147,154,166,177,183,194,207,236,246],"unreasonable":[5],"distributed":[6,255],"corners":[7],"in":[8,94,242],"single":[9],"threshold":[10,76],"Harris":[11,149],"detection":[12,31,123],"and":[13,32,66,82,107,220,259],"expensive":[14],"computation":[15,261],"cost":[16,237],"incurred":[17],"from":[18],"image":[19,45,114,219],"region":[20,33,210],"matching":[21,34,167],"performed":[22,89],"by":[23,118,200],"normalized":[24],"cross":[25],"correlation":[26],"(NCC)":[27],"algorithm,":[28],"multi-threshold":[29],"corner":[30,122,134,243,256],"algorithm":[35,71,96,168,248],"based":[36,57,99,124,169],"on":[37,58,100,125,170],"texture":[38,65,80,102,126,159,171,209],"classification":[39,127,160,172],"are":[40,51,110],"proposed.":[41],"Firstly,":[42],"input":[44],"is":[46,72,88,128,161,173,198,249],"split":[47],"into":[48,53],"sub-blocks":[49,87],"which":[50,211,229],"classified":[52],"four":[54],"different":[55,79,101],"categories":[56],"specific":[60],"texture:":[61],"flat,":[62],"weak,":[63],"middle":[64],"strong":[67],"regions.":[68],"Subsequently,":[69],"an":[70,218],"suggested":[73],"decide":[75],"values":[77],"for":[78,85,158,190,203,213,228],"type,":[81],"interval":[83,155],"calculation":[84,258],"improve":[91,176],"operation":[92],"efficiency":[93,262],"implementation.":[97],"Finally,":[98],"characteristics,":[103],"Census,":[104],"interval-sampled":[105],"NCC,":[106],"complete":[108],"NCC":[109],"employed":[111],"perform":[113],"matching.":[115],"As":[116],"demonstrated":[117],"experimental":[120],"results,":[121],"capable":[129,174],"obtain":[131],"a":[132,139,214,239],"reasonable":[133],"number":[135],"as":[136,138],"well":[137],"more":[140],"uniform":[141],"spatial":[142],"distribution,":[143],"when":[144],"compared":[145],"traditional":[148],"algorithm.":[150],"If":[151],"combined":[152],"with":[153],"classification,":[156],"speedup":[157,231],"approximately":[162],"30%.":[163],"addition,":[165],"speed":[178,197,205],"of":[179,186,217,238],"26.9%~29.9%":[180],"while":[181],"maintaining":[182],"comparable":[184],"accuracy":[185],"NCC.":[187],"general,":[189],"better":[191],"splicing":[192],"quality,":[193],"overall":[195],"stitching":[196],"increased":[199],"14.1%~18.4%.":[201],"Alternatively,":[202],"faster":[204],"consideration,":[206],"weak":[208],"accounts":[212],"large":[215],"proportion":[216],"provides":[221],"less":[222],"effective":[223],"information":[224],"can":[225,232],"be":[226,233],"ignored,":[227],"23.9%~28.4%":[230],"achieved":[234],"at":[235],"1.9%~3.9%":[240],"reduction":[241],"points.":[244],"Therefore,":[245],"proposed":[247],"made":[250],"potentially":[251],"suited":[252],"uniformly":[254],"point":[257],"high":[260],"requirement":[263],"scenarios.":[264]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-18T10:00:31.954636","created_date":"2025-10-10T00:00:00"}
