{"id":"https://openalex.org/W3011656523","doi":"https://doi.org/10.1109/access.2020.2982192","title":"Predictions of USA Presidential Parties From 2021 to 2037 Using Historical Data Through Square Wave-Activated WASD Neural Network","display_name":"Predictions of USA Presidential Parties From 2021 to 2037 Using Historical Data Through Square Wave-Activated WASD Neural Network","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3011656523","doi":"https://doi.org/10.1109/access.2020.2982192","mag":"3011656523"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2982192","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2982192","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09043510.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/ielx7/6287639/8948470/09043510.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075247635","display_name":"Tianyu Zeng","orcid":"https://orcid.org/0000-0001-8656-3397"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tianyu Zeng","raw_affiliation_strings":["School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053064477","display_name":"Yunong Zhang","orcid":"https://orcid.org/0000-0002-2228-0395"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunong Zhang","raw_affiliation_strings":["Research Institute of Sun Yat-sen University, Shenzhen, China","School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Research Institute of Sun Yat-sen University, Shenzhen, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100330759","display_name":"Zhenyu Li","orcid":"https://orcid.org/0000-0002-3978-5031"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenyu Li","raw_affiliation_strings":["School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029739746","display_name":"Binbin Qiu","orcid":"https://orcid.org/0000-0002-9932-3306"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Binbin Qiu","raw_affiliation_strings":["Research Institute of Sun Yat-sen University, Shenzhen, China","School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Research Institute of Sun Yat-sen University, Shenzhen, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064934176","display_name":"Chengxu Ye","orcid":"https://orcid.org/0000-0001-6689-1115"},"institutions":[{"id":"https://openalex.org/I20616075","display_name":"Qinghai Normal University","ror":"https://ror.org/03az1t892","country_code":"CN","type":"education","lineage":["https://openalex.org/I20616075"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengxu Ye","raw_affiliation_strings":["School of Computer Science, Qinghai Normal University, Xining, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Qinghai Normal University, Xining, China","institution_ids":["https://openalex.org/I20616075"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5075247635"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.036,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.8722762,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"8","issue":null,"first_page":"56630","last_page":"56640"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9422000050544739,"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":0.9422000050544739,"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/T13910","display_name":"Computational and Text Analysis Methods","score":0.9142000079154968,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"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/presidential-system","display_name":"Presidential system","score":0.8791452646255493},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6636229753494263},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.500495195388794},{"id":"https://openalex.org/keywords/politics","display_name":"Politics","score":0.49887847900390625},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4786830544471741},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.46949318051338196},{"id":"https://openalex.org/keywords/globalization","display_name":"Globalization","score":0.4667280912399292},{"id":"https://openalex.org/keywords/feedforward-neural-network","display_name":"Feedforward neural network","score":0.4531543254852295},{"id":"https://openalex.org/keywords/democracy","display_name":"Democracy","score":0.42633768916130066},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.32323741912841797},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3061237931251526},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.22531622648239136},{"id":"https://openalex.org/keywords/law","display_name":"Law","score":0.1955713927745819}],"concepts":[{"id":"https://openalex.org/C197487636","wikidata":"https://www.wikidata.org/wiki/Q49892","display_name":"Presidential system","level":3,"score":0.8791452646255493},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6636229753494263},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.500495195388794},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.49887847900390625},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4786830544471741},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.46949318051338196},{"id":"https://openalex.org/C2119116","wikidata":"https://www.wikidata.org/wiki/Q7181","display_name":"Globalization","level":2,"score":0.4667280912399292},{"id":"https://openalex.org/C47702885","wikidata":"https://www.wikidata.org/wiki/Q5441227","display_name":"Feedforward neural network","level":3,"score":0.4531543254852295},{"id":"https://openalex.org/C555826173","wikidata":"https://www.wikidata.org/wiki/Q7174","display_name":"Democracy","level":3,"score":0.42633768916130066},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.32323741912841797},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3061237931251526},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.22531622648239136},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.1955713927745819},{"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:10.1109/access.2020.2982192","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2982192","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09043510.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:3be62ca345a449daa33ce6a51147b708","is_oa":true,"landing_page_url":"https://doaj.org/article/3be62ca345a449daa33ce6a51147b708","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"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 8, Pp 56630-56640 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2982192","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2982192","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09043510.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":[{"display_name":"Partnerships for the goals","score":0.5299999713897705,"id":"https://metadata.un.org/sdg/17"}],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1477544716","display_name":null,"funder_award_id":"Guangdong","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1522943645","display_name":null,"funder_award_id":"2018M643306","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G2023974314","display_name":null,"funder_award_id":"JCYJ20170818154936083","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2082826544","display_name":null,"funder_award_id":"Postdoctoral","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2376276132","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G2981938667","display_name":null,"funder_award_id":"Shenzhen","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3757194791","display_name":null,"funder_award_id":"JCYJ20","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3795606880","display_name":null,"funder_award_id":"51501212","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3894434321","display_name":null,"funder_award_id":"2019A1515012128","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4020255992","display_name":null,"funder_award_id":"Project","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4426228438","display_name":null,"funder_award_id":"19lgpy22","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G4993840398","display_name":null,"funder_award_id":"2019A15","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G5191816514","display_name":null,"funder_award_id":"19lgpy227","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G5641397543","display_name":null,"funder_award_id":"201708","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5823696539","display_name":null,"funder_award_id":"501212","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5939423041","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6387825162","display_name":null,"funder_award_id":"61976230","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7312255359","display_name":null,"funder_award_id":"2016-ZJ-739","funder_id":"https://openalex.org/F4320335921","funder_display_name":"Natural Science Foundation of Qinghai"},{"id":"https://openalex.org/G7812933196","display_name":null,"funder_award_id":"19lgpy227","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7816811592","display_name":null,"funder_award_id":"2018M643306","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8546704473","display_name":null,"funder_award_id":"201708","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G8857290115","display_name":null,"funder_award_id":"19lgpy227","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G8951484681","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320335921","display_name":"Natural Science Foundation of Qinghai","ror":null},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3011656523.pdf","grobid_xml":"https://content.openalex.org/works/W3011656523.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W596577994","https://openalex.org/W1498436455","https://openalex.org/W1559349725","https://openalex.org/W2008095228","https://openalex.org/W2024257817","https://openalex.org/W2064675550","https://openalex.org/W2136819254","https://openalex.org/W2153971829","https://openalex.org/W2291961457","https://openalex.org/W2374509621","https://openalex.org/W2526643132","https://openalex.org/W2616884092","https://openalex.org/W2741300982","https://openalex.org/W2756549737","https://openalex.org/W2802876276","https://openalex.org/W2901247277","https://openalex.org/W2905390794","https://openalex.org/W2921061144","https://openalex.org/W2938785131","https://openalex.org/W2942231644","https://openalex.org/W2944443972","https://openalex.org/W2948842003","https://openalex.org/W2963608065","https://openalex.org/W3142632982","https://openalex.org/W6629815555","https://openalex.org/W7052820870"],"related_works":["https://openalex.org/W2606962271","https://openalex.org/W645512964","https://openalex.org/W2154519170","https://openalex.org/W2357447513","https://openalex.org/W2378845890","https://openalex.org/W2358123629","https://openalex.org/W2496866879","https://openalex.org/W2028903792","https://openalex.org/W1555995843","https://openalex.org/W3125716114"],"abstract_inverted_index":{"The":[0,17,105],"United":[1],"States":[2],"of":[3,42,47,57,89,108,138],"America":[4],"(USA)":[5],"has":[6],"been":[7],"the":[8,13,33,39,45,48,51,58,95,99,118,122,126,130,146,158,164,177],"most":[9],"powerful":[10],"country":[11],"in":[12,31,98,121,171,182],"world":[14],"for":[15,25],"decades.":[16],"country's":[18],"global":[19,49],"leadership":[20],"and":[21,28,44,54,70,125,155,174,184],"power":[22],"are":[23,115],"critical":[24],"international":[26],"security":[27],"intercountry":[29],"relationships,":[30],"which":[32],"political":[34],"events":[35],"yield":[36],"differences.":[37],"With":[38],"deepening":[40],"development":[41],"globalization":[43],"recovery":[46],"economy,":[50],"future":[52,139],"policies":[53],"presidential":[55,96,109,140],"parties":[56,97,110],"USA":[59,100],"should":[60],"be":[61],"predicted":[62,168],"to":[63,93,103,113,169],"avoid":[64],"potential":[65],"crises.":[66],"However,":[67],"making":[68],"unbiased":[69],"robust":[71],"predictions":[72],"is":[73,149,167],"challenging.":[74],"This":[75],"study":[76],"presents":[77],"a":[78,87],"weight-and-structure-determination":[79],"(WASD)":[80],"algorithm-based":[81],"feedforward":[82],"neural":[83,132,162],"network":[84,133],"activated":[85],"by":[86],"set":[88,120],"square":[90,159],"wave":[91],"functions":[92],"predict":[94,135],"from":[101,111],"2021":[102,183],"2037.":[104,185],"historical":[106],"data":[107],"1853":[112],"2017":[114],"used":[116],"as":[117],"training":[119],"numerical":[123],"experiments,":[124],"results":[127],"show":[128],"that":[129],"proposed":[131,147],"can":[134],"9":[136],"terms":[137],"parties.":[141],"Compared":[142],"with":[143],"other":[144],"models,":[145],"model":[148],"more":[150],"efficient,":[151],"robust,":[152],"purely":[153],"time-driven,":[154],"bias-independent.":[156],"Through":[157],"wave-activated":[160],"WASD":[161],"network,":[163],"Democratic":[165],"Party":[166,179],"win":[170,181],"2025,":[172],"2029,":[173],"2033,":[175],"whereas":[176],"Republican":[178],"might":[180]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":3}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}