{"id":"https://openalex.org/W3090157411","doi":"https://doi.org/10.1007/s00521-020-05377-6","title":"Convert index trading to option strategies via LSTM architecture","display_name":"Convert index trading to option strategies via LSTM architecture","publication_year":2020,"publication_date":"2020-10-03","ids":{"openalex":"https://openalex.org/W3090157411","doi":"https://doi.org/10.1007/s00521-020-05377-6","mag":"3090157411"},"language":"en","primary_location":{"id":"doi:10.1007/s00521-020-05377-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00521-020-05377-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00521-020-05377-6.pdf","source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computing and Applications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s00521-020-05377-6.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071914288","display_name":"Jimmy Ming\u2010Tai Wu","orcid":"https://orcid.org/0000-0003-3740-2102"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jimmy Ming-Tai Wu","raw_affiliation_strings":["College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088155157","display_name":"Mu\u2010En Wu","orcid":"https://orcid.org/0000-0002-4839-3849"},"institutions":[{"id":"https://openalex.org/I118292597","display_name":"National Taipei University of Technology","ror":"https://ror.org/00cn92c09","country_code":"TW","type":"education","lineage":["https://openalex.org/I118292597"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Mu-En Wu","raw_affiliation_strings":["Department of Information and Finance Management, National Taipei University of Technology, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Finance Management, National Taipei University of Technology, Taipei, Taiwan","institution_ids":["https://openalex.org/I118292597"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060828145","display_name":"Pang-Jen Hung","orcid":null},"institutions":[{"id":"https://openalex.org/I118292597","display_name":"National Taipei University of Technology","ror":"https://ror.org/00cn92c09","country_code":"TW","type":"education","lineage":["https://openalex.org/I118292597"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Pang-Jen Hung","raw_affiliation_strings":["Department of Information and Finance Management, National Taipei University of Technology, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Finance Management, National Taipei University of Technology, Taipei, Taiwan","institution_ids":["https://openalex.org/I118292597"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085933596","display_name":"Mohammad Mehedi Hassan","orcid":"https://orcid.org/0000-0002-3479-3606"},"institutions":[{"id":"https://openalex.org/I28022161","display_name":"King Saud University","ror":"https://ror.org/02f81g417","country_code":"SA","type":"education","lineage":["https://openalex.org/I28022161"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Mohammad Mehedi Hassan","raw_affiliation_strings":["Information Systems Department, College of Computer and Information Sciences, King Saud University, Riyadh, Kingdom of Saudi Arabia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Systems Department, College of Computer and Information Sciences, King Saud University, Riyadh, Kingdom of Saudi Arabia","institution_ids":["https://openalex.org/I28022161"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023424929","display_name":"Giancarlo Fortino","orcid":"https://orcid.org/0000-0002-4039-891X"},"institutions":[{"id":"https://openalex.org/I45204951","display_name":"University of Calabria","ror":"https://ror.org/02rc97e94","country_code":"IT","type":"education","lineage":["https://openalex.org/I45204951"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Giancarlo Fortino","raw_affiliation_strings":["Department of Informatics, Modeling, Electronics, and Systems, University of Calabria, Rende, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics, Modeling, Electronics, and Systems, University of Calabria, Rende, Italy","institution_ids":["https://openalex.org/I45204951"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5023424929"],"corresponding_institution_ids":["https://openalex.org/I45204951"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":{"value":2990,"currency":"USD","value_usd":2990},"fwci":1.4606,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.83463355,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"37","issue":"28","first_page":"23047","last_page":"23064"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10047","display_name":"Financial Markets and Investment Strategies","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/2003","display_name":"Finance"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9853000044822693,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/futures-contract","display_name":"Futures contract","score":0.7493892908096313},{"id":"https://openalex.org/keywords/trading-strategy","display_name":"Trading strategy","score":0.7249801754951477},{"id":"https://openalex.org/keywords/algorithmic-trading","display_name":"Algorithmic trading","score":0.6271735429763794},{"id":"https://openalex.org/keywords/trend-following","display_name":"Trend following","score":0.5747029781341553},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.5560410618782043},{"id":"https://openalex.org/keywords/database-transaction","display_name":"Database transaction","score":0.5220653414726257},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.518031895160675},{"id":"https://openalex.org/keywords/financial-market","display_name":"Financial market","score":0.5084161162376404},{"id":"https://openalex.org/keywords/high-frequency-trading","display_name":"High-frequency trading","score":0.5033838152885437},{"id":"https://openalex.org/keywords/investment-strategy","display_name":"Investment strategy","score":0.4921964704990387},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4700647294521332},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.45156243443489075},{"id":"https://openalex.org/keywords/pairs-trade","display_name":"Pairs trade","score":0.43347248435020447},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.3802255094051361},{"id":"https://openalex.org/keywords/financial-economics","display_name":"Financial economics","score":0.3714503049850464},{"id":"https://openalex.org/keywords/profit","display_name":"Profit (economics)","score":0.36212706565856934},{"id":"https://openalex.org/keywords/alternative-trading-system","display_name":"Alternative trading system","score":0.36137425899505615},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.35227054357528687},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.15620681643486023},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.13144278526306152}],"concepts":[{"id":"https://openalex.org/C106306483","wikidata":"https://www.wikidata.org/wiki/Q183984","display_name":"Futures contract","level":2,"score":0.7493892908096313},{"id":"https://openalex.org/C131562839","wikidata":"https://www.wikidata.org/wiki/Q1574928","display_name":"Trading strategy","level":2,"score":0.7249801754951477},{"id":"https://openalex.org/C78508483","wikidata":"https://www.wikidata.org/wiki/Q139445","display_name":"Algorithmic trading","level":2,"score":0.6271735429763794},{"id":"https://openalex.org/C186797051","wikidata":"https://www.wikidata.org/wiki/Q60738868","display_name":"Trend following","level":2,"score":0.5747029781341553},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.5560410618782043},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.5220653414726257},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.518031895160675},{"id":"https://openalex.org/C19244329","wikidata":"https://www.wikidata.org/wiki/Q208697","display_name":"Financial market","level":2,"score":0.5084161162376404},{"id":"https://openalex.org/C24683644","wikidata":"https://www.wikidata.org/wiki/Q138372","display_name":"High-frequency trading","level":3,"score":0.5033838152885437},{"id":"https://openalex.org/C103144560","wikidata":"https://www.wikidata.org/wiki/Q2670999","display_name":"Investment strategy","level":3,"score":0.4921964704990387},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4700647294521332},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.45156243443489075},{"id":"https://openalex.org/C158876240","wikidata":"https://www.wikidata.org/wiki/Q17105131","display_name":"Pairs trade","level":4,"score":0.43347248435020447},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.3802255094051361},{"id":"https://openalex.org/C106159729","wikidata":"https://www.wikidata.org/wiki/Q2294553","display_name":"Financial economics","level":1,"score":0.3714503049850464},{"id":"https://openalex.org/C181622380","wikidata":"https://www.wikidata.org/wiki/Q26911","display_name":"Profit (economics)","level":2,"score":0.36212706565856934},{"id":"https://openalex.org/C172428447","wikidata":"https://www.wikidata.org/wiki/Q438711","display_name":"Alternative trading system","level":3,"score":0.36137425899505615},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.35227054357528687},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.15620681643486023},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.13144278526306152},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s00521-020-05377-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00521-020-05377-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00521-020-05377-6.pdf","source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computing and Applications","raw_type":"journal-article"},{"id":"pmh:oai:zenodo.org:79939","is_oa":true,"landing_page_url":"https://www.openaccessrepository.it/record/79939","pdf_url":null,"source":{"id":"https://openalex.org/S4306402478","display_name":"INFM-OAR (INFN Catania)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210116497","host_organization_name":"Istituto Nazionale di Fisica Nucleare, Sezione di Catania","host_organization_lineage":["https://openalex.org/I4210116497"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1007/s00521-020-05377-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00521-020-05377-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00521-020-05377-6.pdf","source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computing and Applications","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","score":0.5199999809265137,"display_name":"Partnerships for the goals"}],"awards":[{"id":"https://openalex.org/G1662538391","display_name":null,"funder_award_id":"2221-E-027","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"},{"id":"https://openalex.org/G1733804226","display_name":"Based on the Management of Optimal Fraction Applied to Financial Trading System","funder_award_id":"MOST107-2221-E027-104-MY2","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"},{"id":"https://openalex.org/G2205640134","display_name":null,"funder_award_id":"MOST 109","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"},{"id":"https://openalex.org/G2517806582","display_name":null,"funder_award_id":"RSP 2020/18","funder_id":"https://openalex.org/F4320321145","funder_display_name":"King Saud University"},{"id":"https://openalex.org/G497937365","display_name":null,"funder_award_id":"MOST 107?","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"}],"funders":[{"id":"https://openalex.org/F4320321145","display_name":"King Saud University","ror":"https://ror.org/02f81g417"},{"id":"https://openalex.org/F4320322795","display_name":"Ministry of Science and Technology, Taiwan","ror":"https://ror.org/02kv4zf79"},{"id":"https://openalex.org/F4320324136","display_name":"Universit\u00e0 della Calabria","ror":"https://ror.org/02rc97e94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3090157411.pdf","grobid_xml":"https://content.openalex.org/works/W3090157411.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W197022872","https://openalex.org/W636076629","https://openalex.org/W641697276","https://openalex.org/W655421030","https://openalex.org/W1573027512","https://openalex.org/W1815264562","https://openalex.org/W1967629209","https://openalex.org/W2025053102","https://openalex.org/W2028324654","https://openalex.org/W2042306668","https://openalex.org/W2064675550","https://openalex.org/W2079438472","https://openalex.org/W2092282852","https://openalex.org/W2107878631","https://openalex.org/W2121702267","https://openalex.org/W2209610041","https://openalex.org/W2282656958","https://openalex.org/W2335134956","https://openalex.org/W2382697894","https://openalex.org/W2406047486","https://openalex.org/W2484997644","https://openalex.org/W2491619116","https://openalex.org/W2510046892","https://openalex.org/W2566564364","https://openalex.org/W2568843091","https://openalex.org/W2734986640","https://openalex.org/W2768163101","https://openalex.org/W2774513877","https://openalex.org/W2776276349","https://openalex.org/W2889880961","https://openalex.org/W2890277584","https://openalex.org/W2891331852","https://openalex.org/W2911858053","https://openalex.org/W2942213740","https://openalex.org/W2946030813","https://openalex.org/W2950843237","https://openalex.org/W2963434388","https://openalex.org/W2963495788","https://openalex.org/W2965530223","https://openalex.org/W3102955821","https://openalex.org/W3122202050","https://openalex.org/W3122425648","https://openalex.org/W3123005119","https://openalex.org/W3123562479","https://openalex.org/W3124700962","https://openalex.org/W3125531610","https://openalex.org/W3126577088"],"related_works":["https://openalex.org/W4226227859","https://openalex.org/W2491678934","https://openalex.org/W2944959808","https://openalex.org/W2553031590","https://openalex.org/W4224329202","https://openalex.org/W2461261851","https://openalex.org/W3122388746","https://openalex.org/W3015595311","https://openalex.org/W2772541354","https://openalex.org/W2392556764"],"abstract_inverted_index":{"Abstract":[0],"In":[1,87],"the":[2,16,22,28,51,54,63,76,80,88,97,111,138,147,155,162,166,174,179,183,202,205,211,222,242,246,252,261,265,268,272,275,280,297,302,309,316],"past,":[3,89],"most":[4],"strategies":[5],"were":[6,94],"mainly":[7],"designed":[8],"to":[9,21,34,67,74,143,160,177,196,207,240,260,278,296,320],"focus":[10],"on":[11,96],"stocks":[12,39],"or":[13,40,70],"futures":[14,41,123,224,248,306,311],"as":[15,133],"trading":[17,156,225,229,293,312,322],"target.":[18],"However,":[19],"due":[20],"enormous":[23],"number":[24],"of":[25,38,53,79,106,204,220,245,264,283],"companies":[26],"in":[27,62,165,210,215],"market,":[29,57],"it":[30],"is":[31,82,141,153,158,230,238,294],"not":[32],"easy":[33],"select":[35],"a":[36,84,103,218],"set":[37],"for":[42,113],"investment.":[43],"By":[44],"investigating":[45],"each":[46],"company\u2019s":[47],"financial":[48,56,167,184,212],"situation":[49],"and":[50,65,127,169,200,250,256],"trend":[52],"overall":[55],"people":[58],"can":[59,314,323],"invest":[60],"precisely":[61],"market":[64,112,168],"choose":[66],"go":[68],"long":[69],"short.":[71],"Moreover,":[72],"how":[73],"determine":[75,161],"position":[77,139],"size":[78,140],"transaction":[81],"also":[83],"problematic":[85],"issue.":[86],"many":[90],"money":[91],"management":[92],"theories":[93],"based":[95],"Kelly":[98,148,175,276,303],"criterion.":[99,149],"And":[100],"they":[101],"put":[102],"certain":[104],"percentage":[105],"their":[107],"total":[108],"funds":[109,129],"into":[110,173,227,274],"trading.":[114,285,307],"Nonetheless,":[115],"three":[116],"massive":[117],"problems":[118],"cannot":[119,170],"be":[120,131,144,171,194,324],"overcome.":[121],"First,":[122],"are":[124,186],"leveraged":[125],"transactions,":[126],"extra":[128],"must":[130],"deposited":[132],"margin.":[134],"It":[135],"causes":[136],"that":[137,154,291],"hard":[142],"estimated":[145],"by":[146,301],"The":[150,286],"second":[151],"point":[152],"strategy":[157,226,249,313],"difficult":[159],"winning":[163],"rate":[164],"brought":[172],"criterion":[176,277,304],"calculate":[178],"optimal":[180,281,298],"fraction.":[181],"Last,":[182],"data":[185,191],"always":[187],"massive.":[188],"A":[189],"big":[190],"technique":[192],"should":[193],"applied":[195],"resolve":[197],"this":[198,216],"issue":[199],"enhance":[201],"performance":[203],"framework":[206,237,270],"reveal":[208],"knowledge":[209],"data.":[213],"Therefore,":[214],"paper,":[217],"concept":[219],"converting":[221,319],"original":[223,247,310],"options":[228,284,292,321],"proposed.":[231],"An":[232],"LSTM":[233],"(long":[234],"short-term":[235],"memory)-based":[236],"proposed":[239,269],"predict":[241],"profit":[243],"probability":[244],"convert":[251],"corresponding":[253],"daily":[254],"take-profit":[255],"stop-loss":[257],"points":[258],"according":[259],"delta":[262],"value":[263],"options.":[266],"Finally,":[267],"brings":[271],"results":[273,289],"get":[279],"fraction":[282,299],"final":[287],"research":[288],"show":[290],"closer":[295],"calculated":[300],"than":[305],"If":[308],"profit,":[315],"benefits":[317],"after":[318],"further":[325],"superior.":[326]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2020-10-08T00:00:00"}
