{"id":"https://openalex.org/W3156750472","doi":"https://doi.org/10.1561/0100000095","title":"Polynomial Methods in Statistical Inference: Theory and Practice","display_name":"Polynomial Methods in Statistical Inference: Theory and Practice","publication_year":2020,"publication_date":"2020-10-12","ids":{"openalex":"https://openalex.org/W3156750472","doi":"https://doi.org/10.1561/0100000095","mag":"3156750472"},"language":"en","primary_location":{"id":"doi:10.1561/0100000095","is_oa":false,"landing_page_url":"https://doi.org/10.1561/0100000095","pdf_url":null,"source":{"id":"https://openalex.org/S70831867","display_name":"Foundations and Trends\u00ae in Communications and Information Theory","issn_l":"1567-2190","issn":["1567-2190","1567-2328"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318575","host_organization_name":"Now Publishers","host_organization_lineage":["https://openalex.org/P4310318575"],"host_organization_lineage_names":["Now Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Foundations and Trends\u00ae in Communications and Information Theory","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2104.07317","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100645159","display_name":"Yihong Wu","orcid":"https://orcid.org/0000-0001-9239-7671"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yihong Wu","raw_affiliation_strings":["Department of Statistics and Data Science , Yale University,","Department of Statistics and Data Science, Yale University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics and Data Science , Yale University,","institution_ids":["https://openalex.org/I32971472"]},{"raw_affiliation_string":"Department of Statistics and Data Science, Yale University, USA","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049410873","display_name":"Pengkun Yang","orcid":"https://orcid.org/0000-0002-2279-3692"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pengkun Yang","raw_affiliation_strings":["Department of Electrical Engineering , Princeton University,","Department of Electrical Engineering, Princeton University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering , Princeton University,","institution_ids":["https://openalex.org/I20089843"]},{"raw_affiliation_string":"Department of Electrical Engineering, Princeton University, USA","institution_ids":["https://openalex.org/I20089843"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100645159"],"corresponding_institution_ids":["https://openalex.org/I32971472"],"apc_list":null,"apc_paid":null,"fwci":0.544,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.75337395,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"17","issue":"4","first_page":"402","last_page":"585"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9854000210762024,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13126","display_name":"Scientific Research and Discoveries","score":0.984499990940094,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/polynomial","display_name":"Polynomial","score":0.5615541338920593},{"id":"https://openalex.org/keywords/statistical-inference","display_name":"Statistical inference","score":0.5596593022346497},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5487828254699707},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5074631571769714},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.5051849484443665},{"id":"https://openalex.org/keywords/moment","display_name":"Moment (physics)","score":0.4286201298236847},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4275883436203003},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.41924038529396057},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39816874265670776},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.37724220752716064},{"id":"https://openalex.org/keywords/algebra-over-a-field","display_name":"Algebra over a field","score":0.32415497303009033},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23786744475364685},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.17649313807487488},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10018172860145569},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.0871325433254242}],"concepts":[{"id":"https://openalex.org/C90119067","wikidata":"https://www.wikidata.org/wiki/Q43260","display_name":"Polynomial","level":2,"score":0.5615541338920593},{"id":"https://openalex.org/C134261354","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical inference","level":2,"score":0.5596593022346497},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5487828254699707},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5074631571769714},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.5051849484443665},{"id":"https://openalex.org/C179254644","wikidata":"https://www.wikidata.org/wiki/Q13222844","display_name":"Moment (physics)","level":2,"score":0.4286201298236847},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4275883436203003},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.41924038529396057},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39816874265670776},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.37724220752716064},{"id":"https://openalex.org/C136119220","wikidata":"https://www.wikidata.org/wiki/Q1000660","display_name":"Algebra over a field","level":2,"score":0.32415497303009033},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23786744475364685},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.17649313807487488},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10018172860145569},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0871325433254242},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1561/0100000095","is_oa":false,"landing_page_url":"https://doi.org/10.1561/0100000095","pdf_url":null,"source":{"id":"https://openalex.org/S70831867","display_name":"Foundations and Trends\u00ae in Communications and Information Theory","issn_l":"1567-2190","issn":["1567-2190","1567-2328"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318575","host_organization_name":"Now Publishers","host_organization_lineage":["https://openalex.org/P4310318575"],"host_organization_lineage_names":["Now Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Foundations and Trends\u00ae in Communications and Information Theory","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2104.07317","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2104.07317","pdf_url":"https://arxiv.org/pdf/2104.07317","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2104.07317","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2104.07317","pdf_url":"https://arxiv.org/pdf/2104.07317","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3919053869","display_name":"CIF: Small: Collaborative Research: Inference of Information Measures on Large Alphabets: Fundamental Limits, Fast Algorithims, and Applications","funder_award_id":"1527105","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5567957844","display_name":"CAREER: Statistical Inference on Large Domains and Large Networks: Fundamental Limits and Efficient Algorithms","funder_award_id":"1651588","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6671297155","display_name":null,"funder_award_id":"CAREER","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7351973653","display_name":null,"funder_award_id":"CCF-1527105","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7610750442","display_name":"CIF: Medium: Collaborative Research: Learning in Networks: Performance Limits and Algorithms","funder_award_id":"1900507","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7870985494","display_name":null,"funder_award_id":"CCF-1651588","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3156750472.pdf","grobid_xml":"https://content.openalex.org/works/W3156750472.grobid-xml"},"referenced_works_count":232,"referenced_works":["https://openalex.org/W45374770","https://openalex.org/W73782397","https://openalex.org/W81138975","https://openalex.org/W91948367","https://openalex.org/W102874051","https://openalex.org/W159831021","https://openalex.org/W305865050","https://openalex.org/W306662213","https://openalex.org/W385466589","https://openalex.org/W410850256","https://openalex.org/W572922989","https://openalex.org/W591769428","https://openalex.org/W605692607","https://openalex.org/W1480812382","https://openalex.org/W1482537073","https://openalex.org/W1483255752","https://openalex.org/W1498939395","https://openalex.org/W1505024875","https://openalex.org/W1511694993","https://openalex.org/W1512638263","https://openalex.org/W1512997950","https://openalex.org/W1516339661","https://openalex.org/W1517022795","https://openalex.org/W1524622012","https://openalex.org/W1526075880","https://openalex.org/W1538444754","https://openalex.org/W1538452572","https://openalex.org/W1543267671","https://openalex.org/W1549664537","https://openalex.org/W1555033159","https://openalex.org/W1555712343","https://openalex.org/W1558982506","https://openalex.org/W1559197676","https://openalex.org/W1564888309","https://openalex.org/W1574816920","https://openalex.org/W1574901103","https://openalex.org/W1575068559","https://openalex.org/W1577338488","https://openalex.org/W1585160083","https://openalex.org/W1593505867","https://openalex.org/W1594563152","https://openalex.org/W1594991866","https://openalex.org/W1595409123","https://openalex.org/W1608865483","https://openalex.org/W1659919128","https://openalex.org/W1670203424","https://openalex.org/W1732328119","https://openalex.org/W1785933978","https://openalex.org/W1854990296","https://openalex.org/W1956647075","https://openalex.org/W1965745576","https://openalex.org/W1966153097","https://openalex.org/W1969015668","https://openalex.org/W1969076607","https://openalex.org/W1969880349","https://openalex.org/W1971947347","https://openalex.org/W1974088667","https://openalex.org/W1978553024","https://openalex.org/W1980018091","https://openalex.org/W1981367467","https://openalex.org/W1981615875","https://openalex.org/W1982918157","https://openalex.org/W1984526963","https://openalex.org/W1986010085","https://openalex.org/W1988144572","https://openalex.org/W1988624553","https://openalex.org/W1989151402","https://openalex.org/W1995875735","https://openalex.org/W1997817781","https://openalex.org/W1997834106","https://openalex.org/W2000163531","https://openalex.org/W2002001845","https://openalex.org/W2004060143","https://openalex.org/W2005618311","https://openalex.org/W2007407491","https://openalex.org/W2010069926","https://openalex.org/W2012496484","https://openalex.org/W2012828271","https://openalex.org/W2014565165","https://openalex.org/W2018944012","https://openalex.org/W2020328455","https://openalex.org/W2022257958","https://openalex.org/W2022332792","https://openalex.org/W2024180465","https://openalex.org/W2024476015","https://openalex.org/W2025208602","https://openalex.org/W2025612377","https://openalex.org/W2025688933","https://openalex.org/W2026302946","https://openalex.org/W2028426770","https://openalex.org/W2028995298","https://openalex.org/W2029440543","https://openalex.org/W2030562249","https://openalex.org/W2031775363","https://openalex.org/W2032916024","https://openalex.org/W2035037762","https://openalex.org/W2040820014","https://openalex.org/W2045740840","https://openalex.org/W2046338987","https://openalex.org/W2049633694","https://openalex.org/W2050947563","https://openalex.org/W2058772015","https://openalex.org/W2058991275","https://openalex.org/W2059189224","https://openalex.org/W2060195349","https://openalex.org/W2061461176","https://openalex.org/W2062817469","https://openalex.org/W2062892638","https://openalex.org/W2062899906","https://openalex.org/W2066052452","https://openalex.org/W2067883080","https://openalex.org/W2070086983","https://openalex.org/W2072302731","https://openalex.org/W2078729747","https://openalex.org/W2079234446","https://openalex.org/W2079473986","https://openalex.org/W2080597563","https://openalex.org/W2082092506","https://openalex.org/W2086129901","https://openalex.org/W2089973628","https://openalex.org/W2091982107","https://openalex.org/W2094438648","https://openalex.org/W2095306947","https://openalex.org/W2096798913","https://openalex.org/W2097560155","https://openalex.org/W2097636360","https://openalex.org/W2101234009","https://openalex.org/W2109584604","https://openalex.org/W2111715132","https://openalex.org/W2113945798","https://openalex.org/W2114413252","https://openalex.org/W2114495039","https://openalex.org/W2114771311","https://openalex.org/W2116393125","https://openalex.org/W2117410972","https://openalex.org/W2117509237","https://openalex.org/W2117902970","https://openalex.org/W2119757675","https://openalex.org/W2119938170","https://openalex.org/W2124055802","https://openalex.org/W2125201914","https://openalex.org/W2125232050","https://openalex.org/W2127090196","https://openalex.org/W2134199473","https://openalex.org/W2134392266","https://openalex.org/W2135765767","https://openalex.org/W2136029781","https://openalex.org/W2142995921","https://openalex.org/W2146368895","https://openalex.org/W2148719904","https://openalex.org/W2151176735","https://openalex.org/W2152279268","https://openalex.org/W2156875677","https://openalex.org/W2159784709","https://openalex.org/W2163166770","https://openalex.org/W2170201775","https://openalex.org/W2170990775","https://openalex.org/W2171138447","https://openalex.org/W2174375947","https://openalex.org/W2187207766","https://openalex.org/W2315923243","https://openalex.org/W2316418224","https://openalex.org/W2402144811","https://openalex.org/W2478884216","https://openalex.org/W2509532045","https://openalex.org/W2516692117","https://openalex.org/W2545606300","https://openalex.org/W2554091414","https://openalex.org/W2560270297","https://openalex.org/W2588543890","https://openalex.org/W2591785264","https://openalex.org/W2592404883","https://openalex.org/W2594002408","https://openalex.org/W2594457276","https://openalex.org/W2736230390","https://openalex.org/W2740889500","https://openalex.org/W2741294026","https://openalex.org/W2767923613","https://openalex.org/W2788259253","https://openalex.org/W2914427130","https://openalex.org/W2951439068","https://openalex.org/W2951714068","https://openalex.org/W2952995770","https://openalex.org/W2953384591","https://openalex.org/W2962737134","https://openalex.org/W2962820675","https://openalex.org/W2962956010","https://openalex.org/W2963017284","https://openalex.org/W2963211500","https://openalex.org/W2963288913","https://openalex.org/W2963466678","https://openalex.org/W2963482694","https://openalex.org/W2963608890","https://openalex.org/W2963626260","https://openalex.org/W2963816693","https://openalex.org/W2963866505","https://openalex.org/W2964073168","https://openalex.org/W2980671223","https://openalex.org/W2993383518","https://openalex.org/W3006632197","https://openalex.org/W3020818366","https://openalex.org/W3029017346","https://openalex.org/W3037830703","https://openalex.org/W3049253527","https://openalex.org/W3098503526","https://openalex.org/W3099061295","https://openalex.org/W3102622251","https://openalex.org/W3110763182","https://openalex.org/W3124939451","https://openalex.org/W4205354563","https://openalex.org/W4230552673","https://openalex.org/W4230959423","https://openalex.org/W4231412110","https://openalex.org/W4233559841","https://openalex.org/W4236748729","https://openalex.org/W4237482456","https://openalex.org/W4241310355","https://openalex.org/W4245109667","https://openalex.org/W4245222481","https://openalex.org/W4245876845","https://openalex.org/W4246623838","https://openalex.org/W4247672674","https://openalex.org/W4251741063","https://openalex.org/W4253764066","https://openalex.org/W4285719527","https://openalex.org/W4293820388","https://openalex.org/W4300223101","https://openalex.org/W4301973099","https://openalex.org/W4302907162","https://openalex.org/W4321001852","https://openalex.org/W4361806583","https://openalex.org/W4388083371"],"related_works":["https://openalex.org/W2055243143","https://openalex.org/W4321636575","https://openalex.org/W1986418932","https://openalex.org/W2357796999","https://openalex.org/W137830373","https://openalex.org/W3000984192","https://openalex.org/W2103073163","https://openalex.org/W4286952477","https://openalex.org/W4321348134","https://openalex.org/W4387929287"],"abstract_inverted_index":{"This":[0],"survey":[1],"provides":[2],"an":[3],"exposition":[4],"of":[5,8,14,83,97,104,109],"a":[6],"suite":[7],"techniques":[9,74],"based":[10],"on":[11,66],"the":[12,81,94,98,102,110],"theory":[13],"polynomials,":[15,48],"collectively":[16],"referred":[17],"to":[18,27],"as":[19,119],"polynomial":[20,38,40,111],"methods,":[21],"which":[22],"have":[23],"recently":[24],"been":[25],"applied":[26],"address":[28],"several":[29],"challenging":[30],"problems":[31,100,117],"in":[32,63,115],"statistical":[33,61],"inference":[34,99],"successfully.":[35],"Topics":[36],"including":[37],"approximation,":[39],"interpolation":[41],"and":[42,46,51,60,69,121,128],"majorization,":[43],"moment":[44,105],"space":[45],"positive":[47],"orthogonal":[49],"polynomials":[50],"Gaussian":[52,130],"quadrature":[53],"are":[54],"discussed,":[55],"with":[56,87],"their":[57],"major":[58],"probabilistic":[59],"applications":[62],"property":[64],"estimation":[65],"large":[67],"domains":[68],"learning":[70,129],"mixture":[71,131],"models.":[72,132],"These":[73],"provide":[75],"useful":[76],"tools":[77],"not":[78],"only":[79],"for":[80,92],"design":[82],"highly":[84],"practical":[85],"algorithms":[86],"provable":[88],"optimality,":[89],"but":[90],"also":[91],"establishing":[93],"fundamental":[95],"limits":[96],"through":[101],"method":[103,112],"matching.":[106],"The":[107],"effectiveness":[108],"is":[113],"demonstrated":[114],"concrete":[116],"such":[118],"entropy":[120],"support":[122],"size":[123],"estimation,":[124],"distinct":[125],"elements":[126],"problem,":[127]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
