{"id":"https://openalex.org/W4229454371","doi":"https://doi.org/10.1080/10095020.2022.2068385","title":"Modified aquila optimizer for forecasting oil production","display_name":"Modified aquila optimizer for forecasting oil production","publication_year":2022,"publication_date":"2022-05-10","ids":{"openalex":"https://openalex.org/W4229454371","doi":"https://doi.org/10.1080/10095020.2022.2068385"},"language":"en","primary_location":{"id":"doi:10.1080/10095020.2022.2068385","is_oa":true,"landing_page_url":"https://doi.org/10.1080/10095020.2022.2068385","pdf_url":null,"source":{"id":"https://openalex.org/S36798160","display_name":"Geo-spatial Information Science","issn_l":"1009-5020","issn":["1009-5020","1993-5153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Geo-spatial Information Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1080/10095020.2022.2068385","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5067624332","display_name":"Mohammed A. A. Al\u2010qaness","orcid":"https://orcid.org/0000-0002-6956-7641"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mohammed A. A. Al-qaness","raw_affiliation_strings":["State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-6956-7641","affiliations":[{"raw_affiliation_string":"State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078519359","display_name":"Ahmed A. Ewees","orcid":"https://orcid.org/0000-0002-0666-7055"},"institutions":[{"id":"https://openalex.org/I126427551","display_name":"Damietta University","ror":"https://ror.org/035h3r191","country_code":"EG","type":"education","lineage":["https://openalex.org/I126427551"]},{"id":"https://openalex.org/I4210136004","display_name":"University of Bisha","ror":"https://ror.org/040548g92","country_code":"SA","type":"education","lineage":["https://openalex.org/I4210136004"]}],"countries":["EG","SA"],"is_corresponding":false,"raw_author_name":"Ahmed A. Ewees","raw_affiliation_strings":["Department of Computer, Damietta University, Damietta, Egypt","Systems, University of Bisha Department of e-, Bisha, Kingdom of Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0002-0666-7055","affiliations":[{"raw_affiliation_string":"Department of Computer, Damietta University, Damietta, Egypt","institution_ids":["https://openalex.org/I126427551"]},{"raw_affiliation_string":"Systems, University of Bisha Department of e-, Bisha, Kingdom of Saudi Arabia","institution_ids":["https://openalex.org/I4210136004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033239420","display_name":"Hong Fan","orcid":"https://orcid.org/0000-0003-4518-8775"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hong Fan","raw_affiliation_strings":["State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-4518-8775","affiliations":[{"raw_affiliation_string":"State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035154661","display_name":"Ayman Mutahar AlRassas","orcid":"https://orcid.org/0000-0002-7539-1865"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ayman Mutahar AlRassas","raw_affiliation_strings":["School of Petroleum Engineering, China University of Petroleum (East China), Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0002-7539-1865","affiliations":[{"raw_affiliation_string":"School of Petroleum Engineering, China University of Petroleum (East China), Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057217204","display_name":"Mohamed Abd Elaziz","orcid":"https://orcid.org/0000-0002-7682-6269"},"institutions":[{"id":"https://openalex.org/I182000528","display_name":"Ajman University","ror":"https://ror.org/01j1rma10","country_code":"AE","type":"education","lineage":["https://openalex.org/I182000528"]},{"id":"https://openalex.org/I192398990","display_name":"Zagazig University","ror":"https://ror.org/053g6we49","country_code":"EG","type":"education","lineage":["https://openalex.org/I192398990"]},{"id":"https://openalex.org/I4400009028","display_name":"Galala University","ror":"https://ror.org/04x3ne739","country_code":null,"type":"education","lineage":["https://openalex.org/I4400009028"]}],"countries":["AE","EG"],"is_corresponding":false,"raw_author_name":"Mohamed Abd Elaziz","raw_affiliation_strings":["Artificial Intelligence Research Center (AIRC), Ajman University, Ajman 346, United Arab Emirates","Department of Mathematics, Faculty of Science, Zagazig University, Zagazig, Egypt","Faculty of Computer Science & Engineering, Galala University, Suze 435611, Egypt"],"raw_orcid":"https://orcid.org/0000-0002-7682-6269","affiliations":[{"raw_affiliation_string":"Artificial Intelligence Research Center (AIRC), Ajman University, Ajman 346, United Arab Emirates","institution_ids":["https://openalex.org/I182000528"]},{"raw_affiliation_string":"Department of Mathematics, Faculty of Science, Zagazig University, Zagazig, Egypt","institution_ids":["https://openalex.org/I192398990"]},{"raw_affiliation_string":"Faculty of Computer Science & Engineering, Galala University, Suze 435611, Egypt","institution_ids":["https://openalex.org/I4400009028"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5033239420"],"corresponding_institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"],"apc_list":{"value":1625,"currency":"GBP","value_usd":1993},"apc_paid":{"value":1625,"currency":"GBP","value_usd":1993},"fwci":8.9547,"has_fulltext":false,"cited_by_count":77,"citation_normalized_percentile":{"value":0.99053693,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"25","issue":"4","first_page":"519","last_page":"535"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11801","display_name":"Reservoir Engineering and Simulation Methods","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"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/T11801","display_name":"Reservoir Engineering and Simulation Methods","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T13050","display_name":"Oil and Gas Production Techniques","score":0.9876000285148621,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T10491","display_name":"Enhanced Oil Recovery Techniques","score":0.9815999865531921,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/adaptive-neuro-fuzzy-inference-system","display_name":"Adaptive neuro fuzzy inference system","score":0.9707555770874023},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5612925291061401},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5609987378120422},{"id":"https://openalex.org/keywords/autoregressive-fractionally-integrated-moving-average","display_name":"Autoregressive fractionally integrated moving average","score":0.5438135862350464},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.507731556892395},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4676040709018707},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45150506496429443},{"id":"https://openalex.org/keywords/autoregressive-integrated-moving-average","display_name":"Autoregressive integrated moving average","score":0.4490929841995239},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3815156817436218},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.35456424951553345},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35060158371925354},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30456721782684326},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2343457043170929},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.20803356170654297},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.15884128212928772},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.131943017244339}],"concepts":[{"id":"https://openalex.org/C186108316","wikidata":"https://www.wikidata.org/wiki/Q352530","display_name":"Adaptive neuro fuzzy inference system","level":4,"score":0.9707555770874023},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5612925291061401},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5609987378120422},{"id":"https://openalex.org/C1297061","wikidata":"https://www.wikidata.org/wiki/Q4826945","display_name":"Autoregressive fractionally integrated moving average","level":4,"score":0.5438135862350464},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.507731556892395},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4676040709018707},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45150506496429443},{"id":"https://openalex.org/C24338571","wikidata":"https://www.wikidata.org/wiki/Q2566298","display_name":"Autoregressive integrated moving average","level":3,"score":0.4490929841995239},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3815156817436218},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.35456424951553345},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35060158371925354},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30456721782684326},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2343457043170929},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.20803356170654297},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.15884128212928772},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.131943017244339},{"id":"https://openalex.org/C91602232","wikidata":"https://www.wikidata.org/wiki/Q756115","display_name":"Volatility (finance)","level":2,"score":0.0},{"id":"https://openalex.org/C2986394398","wikidata":"https://www.wikidata.org/wiki/Q1805477","display_name":"Long memory","level":3,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/10095020.2022.2068385","is_oa":true,"landing_page_url":"https://doi.org/10.1080/10095020.2022.2068385","pdf_url":null,"source":{"id":"https://openalex.org/S36798160","display_name":"Geo-spatial Information Science","issn_l":"1009-5020","issn":["1009-5020","1993-5153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Geo-spatial Information Science","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:784c14a7f6254f618ea816296c0f3d9f","is_oa":true,"landing_page_url":"https://doaj.org/article/784c14a7f6254f618ea816296c0f3d9f","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":"Geo-spatial Information Science, Vol 25, Iss 4, Pp 519-535 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1080/10095020.2022.2068385","is_oa":true,"landing_page_url":"https://doi.org/10.1080/10095020.2022.2068385","pdf_url":null,"source":{"id":"https://openalex.org/S36798160","display_name":"Geo-spatial Information Science","issn_l":"1009-5020","issn":["1009-5020","1993-5153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Geo-spatial Information Science","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7845757534","display_name":null,"funder_award_id":"62150410434","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8948269320","display_name":null,"funder_award_id":"2019YFB1405600","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W2004193933","https://openalex.org/W2013643426","https://openalex.org/W2019207321","https://openalex.org/W2036166940","https://openalex.org/W2046086715","https://openalex.org/W2049195323","https://openalex.org/W2055571659","https://openalex.org/W2063649277","https://openalex.org/W2070503442","https://openalex.org/W2076406292","https://openalex.org/W2115980281","https://openalex.org/W2162745921","https://openalex.org/W2198591748","https://openalex.org/W2490556860","https://openalex.org/W2506935491","https://openalex.org/W2538597852","https://openalex.org/W2577195726","https://openalex.org/W2588154830","https://openalex.org/W2600259750","https://openalex.org/W2609484128","https://openalex.org/W2729921439","https://openalex.org/W2779376425","https://openalex.org/W2783875661","https://openalex.org/W2784812969","https://openalex.org/W2807838313","https://openalex.org/W2808223626","https://openalex.org/W2885505527","https://openalex.org/W2894821558","https://openalex.org/W2898604056","https://openalex.org/W2901542073","https://openalex.org/W2913309878","https://openalex.org/W2922367262","https://openalex.org/W2948948567","https://openalex.org/W2966066480","https://openalex.org/W2974496939","https://openalex.org/W2984376566","https://openalex.org/W2985996869","https://openalex.org/W2994216106","https://openalex.org/W3000542210","https://openalex.org/W3001886746","https://openalex.org/W3003462583","https://openalex.org/W3008329254","https://openalex.org/W3014225067","https://openalex.org/W3014469433","https://openalex.org/W3033590996","https://openalex.org/W3041949195","https://openalex.org/W3089986665","https://openalex.org/W3105324257","https://openalex.org/W3109271316","https://openalex.org/W3111063581","https://openalex.org/W3113265756","https://openalex.org/W3115044086","https://openalex.org/W3127070432","https://openalex.org/W3133289802","https://openalex.org/W3139484821","https://openalex.org/W3142321998","https://openalex.org/W3198696756","https://openalex.org/W4235011715"],"related_works":["https://openalex.org/W3080406149","https://openalex.org/W2768005043","https://openalex.org/W2765961949","https://openalex.org/W4244255161","https://openalex.org/W3119865579","https://openalex.org/W2897870065","https://openalex.org/W3175321409","https://openalex.org/W4312561791","https://openalex.org/W2389894046","https://openalex.org/W2215717369"],"abstract_inverted_index":{"ABSTRACTOil":[0],"production":[1,28,132],"estimation":[2],"plays":[3],"a":[4,39,85],"critical":[5,58],"role":[6],"in":[7,29,47,60],"economic":[8],"plans":[9],"for":[10],"local":[11],"governments":[12],"and":[13,113,159,190,221,240],"organizations.":[14],"Therefore,":[15],"many":[16],"studies":[17],"applied":[18],"different":[19,30,136],"Artificial":[20],"Intelligence":[21],"(AI)":[22],"based":[23],"methods":[24],"to":[25,73,105,117,168,199],"estimate":[26],"oil":[27,131],"countries.":[31],"The":[32,96,124,225],"Adaptive":[33],"Neuro-Fuzzy":[34],"Inference":[35],"System":[36],"(ANFIS)":[37],"is":[38,104,127,166,197],"well-known":[40,200],"model":[41,56,126,165,239],"that":[42],"has":[43],"been":[44],"successfully":[45],"employed":[46],"various":[48],"applications,":[49],"including":[50,142],"time-series":[51],"forecasting.":[52],"However,":[53],"the":[54,64,75,78,91,100,107,111,115,119,122,163,228,232,236,241],"ANFIS":[55,79,82,171,238],"faces":[57],"shortcomings":[59],"its":[61],"parameters":[62,83],"during":[63],"configuration":[65],"process.":[66],"From":[67],"this":[68,70],"point,":[69],"paper":[71],"works":[72],"solve":[74],"drawbacks":[76],"of":[77,99,110,121,153,231],"by":[80],"optimizing":[81],"using":[84,129,138],"modified":[86,170],"Aquila":[87],"Optimizer":[88,180],"(AO)":[89],"with":[90],"Opposition-Based":[92],"Learning":[93],"(OBL)":[94],"technique.":[95],"main":[97],"idea":[98],"developed":[101],"model,":[102],"AOOBL-ANFIS,":[103,233],"enhance":[106],"search":[108],"process":[109],"AO":[112],"use":[114],"AOOBL":[116],"boost":[118],"performance":[120,140,230],"ANFIS.":[123],"proposed":[125],"evaluated":[128],"real-world":[130],"datasets":[133],"collected":[134],"from":[135],"oilfields":[137],"several":[139,169],"metrics,":[141],"Root":[143],"Mean":[144,148],"Square":[145],"Error":[146,150],"(RMSE),":[147],"Absolute":[149],"(MAE),":[151],"coefficient":[152],"determination":[154],"(R2),":[155],"Standard":[156],"Deviation":[157],"(Std),":[158],"computational":[160],"time.":[161],"Moreover,":[162],"AOOBL-ANFIS":[164],"compared":[167,198,242],"models":[172],"include":[173],"Particle":[174],"Swarm":[175],"Optimization":[176],"(PSO)-ANFIS,":[177],"Grey":[178],"Wolf":[179],"(GWO)-ANFIS,":[181],"Sine":[182],"Cosine":[183],"Algorithm":[184,188,192],"(SCA)-ANFIS,":[185],"Slime":[186],"Mold":[187],"(SMA)-ANFIS,":[189],"Genetic":[191],"(GA)-ANFIS,":[193],"respectively.":[194],"Additionally,":[195],"it":[196],"time":[201],"series":[202],"forecasting":[203],"methods,":[204],"namely,":[205],"Autoregressive":[206,216],"Integrated":[207,217],"Moving":[208,218],"Average":[209,219],"(ARIMA),":[210],"Long":[211],"Short-Term":[212],"Memory":[213],"(LSTM),":[214],"Seasonal":[215],"(SARIMA),":[220],"Neural":[222],"Network":[223],"(NN).":[224],"outcomes":[226],"verified":[227],"high":[229],"which":[234],"outperformed":[235],"classic":[237],"models.":[243]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":19},{"year":2022,"cited_by_count":29}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}