{"id":"https://openalex.org/W4390224687","doi":"https://doi.org/10.1109/dtpi59677.2023.10365441","title":"PATRAS: Pattern-Aware Generalized Traffic Signal Control Based on Parallel Learning","display_name":"PATRAS: Pattern-Aware Generalized Traffic Signal Control Based on Parallel Learning","publication_year":2023,"publication_date":"2023-11-07","ids":{"openalex":"https://openalex.org/W4390224687","doi":"https://doi.org/10.1109/dtpi59677.2023.10365441"},"language":"en","primary_location":{"id":"doi:10.1109/dtpi59677.2023.10365441","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/dtpi59677.2023.10365441","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 3rd International Conference on Digital Twins and Parallel Intelligence (DTPI)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5057269411","display_name":"Xingyuan Dai","orcid":"https://orcid.org/0000-0001-7517-5049"},"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/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingyuan Dai","raw_affiliation_strings":["Chinese Academy of Sciences,Institute of Automation,Beijing,China","Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Institute of Automation,Beijing,China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100456327","display_name":"Yan Zhang","orcid":"https://orcid.org/0000-0002-8561-5092"},"institutions":[{"id":"https://openalex.org/I4210136246","display_name":"China Telecom (China)","ror":"https://ror.org/03jgnzt20","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210136246"]},{"id":"https://openalex.org/I4387153335","display_name":"China Telecom","ror":"https://ror.org/05p67dv18","country_code":null,"type":"company","lineage":["https://openalex.org/I4387153335"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Zhang","raw_affiliation_strings":["China Telecom Digital City Technology Co., Ltd,Xiongan,China","China Telecom Digital City Technology Co., Ltd, Xiongan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Telecom Digital City Technology Co., Ltd,Xiongan,China","institution_ids":["https://openalex.org/I4210136246","https://openalex.org/I4387153335"]},{"raw_affiliation_string":"China Telecom Digital City Technology Co., Ltd, Xiongan, China","institution_ids":["https://openalex.org/I4210136246","https://openalex.org/I4387153335"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101989672","display_name":"Yiqing Tang","orcid":"https://orcid.org/0009-0001-6449-4543"},"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/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiqing Tang","raw_affiliation_strings":["Chinese Academy of Sciences,Institute of Automation,Beijing,China","Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Institute of Automation,Beijing,China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101768579","display_name":"Chen Zhao","orcid":"https://orcid.org/0000-0003-1544-1637"},"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/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Zhao","raw_affiliation_strings":["Chinese Academy of Sciences,Institute of Automation,Beijing,China","Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Institute of Automation,Beijing,China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030787679","display_name":"Jiaming Sun","orcid":"https://orcid.org/0000-0003-4053-8510"},"institutions":[{"id":"https://openalex.org/I4210136246","display_name":"China Telecom (China)","ror":"https://ror.org/03jgnzt20","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210136246"]},{"id":"https://openalex.org/I4387153335","display_name":"China Telecom","ror":"https://ror.org/05p67dv18","country_code":null,"type":"company","lineage":["https://openalex.org/I4387153335"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaming Sun","raw_affiliation_strings":["China Telecom Digital City Technology Co., Ltd,Xiongan,China","China Telecom Digital City Technology Co., Ltd, Xiongan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Telecom Digital City Technology Co., Ltd,Xiongan,China","institution_ids":["https://openalex.org/I4210136246","https://openalex.org/I4387153335"]},{"raw_affiliation_string":"China Telecom Digital City Technology Co., Ltd, Xiongan, China","institution_ids":["https://openalex.org/I4210136246","https://openalex.org/I4387153335"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101691433","display_name":"Cong Fei","orcid":"https://orcid.org/0000-0002-7156-1230"},"institutions":[{"id":"https://openalex.org/I4210136246","display_name":"China Telecom (China)","ror":"https://ror.org/03jgnzt20","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210136246"]},{"id":"https://openalex.org/I4387153335","display_name":"China Telecom","ror":"https://ror.org/05p67dv18","country_code":null,"type":"company","lineage":["https://openalex.org/I4387153335"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Cong","raw_affiliation_strings":["China Telecom Digital City Technology Co., Ltd,Xiongan,China","China Telecom Digital City Technology Co., Ltd, Xiongan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Telecom Digital City Technology Co., Ltd,Xiongan,China","institution_ids":["https://openalex.org/I4210136246","https://openalex.org/I4387153335"]},{"raw_affiliation_string":"China Telecom Digital City Technology Co., Ltd, Xiongan, China","institution_ids":["https://openalex.org/I4210136246","https://openalex.org/I4387153335"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100334843","display_name":"Yanan Lu","orcid":"https://orcid.org/0000-0002-3170-7266"},"institutions":[{"id":"https://openalex.org/I4210136246","display_name":"China Telecom (China)","ror":"https://ror.org/03jgnzt20","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210136246"]},{"id":"https://openalex.org/I4387153335","display_name":"China Telecom","ror":"https://ror.org/05p67dv18","country_code":null,"type":"company","lineage":["https://openalex.org/I4387153335"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanan Lu","raw_affiliation_strings":["China Telecom Digital City Technology Co., Ltd,Xiongan,China","China Telecom Digital City Technology Co., Ltd, Xiongan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Telecom Digital City Technology Co., Ltd,Xiongan,China","institution_ids":["https://openalex.org/I4210136246","https://openalex.org/I4387153335"]},{"raw_affiliation_string":"China Telecom Digital City Technology Co., Ltd, Xiongan, China","institution_ids":["https://openalex.org/I4210136246","https://openalex.org/I4387153335"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076992681","display_name":"Yisheng Lv","orcid":"https://orcid.org/0000-0002-7565-4979"},"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/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yisheng Lv","raw_affiliation_strings":["Chinese Academy of Sciences,Institute of Automation,Beijing,China","Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Institute of Automation,Beijing,China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1441,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.50052837,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"33","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T10524","display_name":"Traffic control and management","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10698","display_name":"Transportation Planning and Optimization","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7776557207107544},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7028693556785583},{"id":"https://openalex.org/keywords/airfield-traffic-pattern","display_name":"Airfield traffic pattern","score":0.5961011648178101},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5567434430122375},{"id":"https://openalex.org/keywords/offline-learning","display_name":"Offline learning","score":0.518937349319458},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.5073484778404236},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.48861056566238403},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.47185656428337097},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.46348220109939575},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.445359468460083},{"id":"https://openalex.org/keywords/reuse","display_name":"Reuse","score":0.4415864646434784},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43553900718688965},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3931756615638733},{"id":"https://openalex.org/keywords/online-learning","display_name":"Online learning","score":0.21486058831214905},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14450949430465698},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.10887819528579712},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.08357754349708557}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7776557207107544},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7028693556785583},{"id":"https://openalex.org/C204673680","wikidata":"https://www.wikidata.org/wiki/Q1628107","display_name":"Airfield traffic pattern","level":2,"score":0.5961011648178101},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5567434430122375},{"id":"https://openalex.org/C2780490138","wikidata":"https://www.wikidata.org/wiki/Q7079636","display_name":"Offline learning","level":3,"score":0.518937349319458},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.5073484778404236},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.48861056566238403},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.47185656428337097},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.46348220109939575},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.445359468460083},{"id":"https://openalex.org/C206588197","wikidata":"https://www.wikidata.org/wiki/Q846574","display_name":"Reuse","level":2,"score":0.4415864646434784},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43553900718688965},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3931756615638733},{"id":"https://openalex.org/C2986087404","wikidata":"https://www.wikidata.org/wiki/Q15946010","display_name":"Online learning","level":2,"score":0.21486058831214905},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14450949430465698},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.10887819528579712},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.08357754349708557},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C548081761","wikidata":"https://www.wikidata.org/wiki/Q180388","display_name":"Waste management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dtpi59677.2023.10365441","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/dtpi59677.2023.10365441","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 3rd International Conference on Digital Twins and Parallel Intelligence (DTPI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2133747588","https://openalex.org/W2734479159","https://openalex.org/W2903709398","https://openalex.org/W2915117209","https://openalex.org/W2938342315","https://openalex.org/W3014141732","https://openalex.org/W3114383165","https://openalex.org/W3147369471","https://openalex.org/W3165002413","https://openalex.org/W3183967654","https://openalex.org/W3184466352","https://openalex.org/W4210553154","https://openalex.org/W4224231583","https://openalex.org/W4226239849","https://openalex.org/W4247881572","https://openalex.org/W4296501493","https://openalex.org/W4308917951","https://openalex.org/W4311409157","https://openalex.org/W4322730856","https://openalex.org/W6779265984"],"related_works":["https://openalex.org/W2384475851","https://openalex.org/W2000444236","https://openalex.org/W4225619808","https://openalex.org/W4400438570","https://openalex.org/W4376223516","https://openalex.org/W4226042081","https://openalex.org/W4388926065","https://openalex.org/W4308935744","https://openalex.org/W4362599051","https://openalex.org/W4390224687"],"abstract_inverted_index":{"The":[0],"data-driven":[1],"adaptive":[2],"traffic":[3,16,44,72,85,88,95,107,114,148,191,200],"signal":[4,45,108],"control":[5,46,69,109,141,175],"for":[6,41,70,92,146],"real-world":[7,170],"scenarios":[8],"faces":[9],"two":[10],"significant":[11],"challenges:":[12],"adapting":[13],"to":[14,27,82,104,125,138,198],"diverse":[15],"patterns":[17,86],"and":[18,62,67,77,127,177],"addressing":[19],"the":[20,24,28,106,144,147,154,162,186],"generalization":[21,183],"issue":[22],"from":[23,143],"optimization":[25,55,164],"environment":[26],"deployment":[29],"environment.":[30],"To":[31],"tackle":[32],"these":[33,129],"challenges,":[34],"this":[35],"paper":[36],"proposes":[37],"a":[38,75,133],"novel":[39],"approach":[40,135],"pattern-aware":[42],"generalized":[43],"(PATRAS)":[47],"based":[48,172],"on":[49,173],"parallel":[50],"learning.":[51],"It":[52],"establishes":[53],"an":[54,97],"process":[56],"comprising":[57],"descriptive":[58],"learning,":[59,61,64],"predictive":[60],"prescriptive":[63],"enabling":[65],"robust":[66],"adaptable":[68],"different":[71,199],"patterns.":[73,201],"First,":[74],"lightweight":[76],"effective":[78],"method":[79,165,188],"is":[80,102,123,136],"employed":[81,166],"characterize":[83],"various":[84],"using":[87,112],"flow":[89],"trends.":[90],"Next,":[91],"each":[93],"specific":[94],"pattern,":[96,149],"offline":[98,163],"reinforcement":[99],"learning":[100],"algorithm":[101],"applied":[103],"optimize":[105],"policy":[110],"directly":[111,194],"collected":[113],"data":[115],"instead":[116],"of":[117,153,182],"simulations.":[118],"A":[119],"decision":[120],"support":[121],"library":[122,145],"constructed":[124],"store":[126],"reuse":[128],"optimized":[130],"policies.":[131],"Lastly,":[132],"pattern-matching-based":[134],"used":[137],"recommend":[139],"appropriate":[140],"policies":[142,176,197],"guiding":[150],"efficient":[151],"operation":[152],"actual":[155],"transportation":[156],"system.":[157],"Experimental":[158],"results":[159],"demonstrate":[160],"that":[161],"in":[167,180],"PATRAS":[168],"outperforms":[169],"demonstrations":[171],"actuated":[174],"other":[178],"baselines":[179],"terms":[181],"performance.":[184],"Additionally,":[185],"recommendation":[187],"effectively":[189],"improves":[190],"efficiency":[192],"by":[193],"applying":[195],"pre-optimized":[196]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}