Cindy Yu

3.8k total citations · 1 hit paper
40 papers, 875 citations indexed

About

Cindy Yu is a scholar working on Finance, Economics and Econometrics and Statistics and Probability. According to data from OpenAlex, Cindy Yu has authored 40 papers receiving a total of 875 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Finance, 15 papers in Economics and Econometrics and 11 papers in Statistics and Probability. Recurrent topics in Cindy Yu's work include Financial Risk and Volatility Modeling (14 papers), Stochastic processes and financial applications (13 papers) and Monetary Policy and Economic Impact (8 papers). Cindy Yu is often cited by papers focused on Financial Risk and Volatility Modeling (14 papers), Stochastic processes and financial applications (13 papers) and Monetary Policy and Economic Impact (8 papers). Cindy Yu collaborates with scholars based in United States, China and Hong Kong. Cindy Yu's co-authors include Xiaodong Du, Dermot J. Hayes, Jae Kwang Kim, Haitao Li, Martin T. Wells, David A. Hennessy, Steven Kou, Song Xi Chen, Haitao Li and Liang Peng and has published in prestigious journals such as Journal of the American Statistical Association, Management Science and Review of Financial Studies.

In The Last Decade

Cindy Yu

35 papers receiving 833 citations

Hit Papers

Speculation and volatility spillover in the crude oil and... 2011 2026 2016 2021 2011 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Speculation and volatility spillover in the crude oil and agricultural commodity markets: A Bayesian analysis
    2011 410 citations Xiaodong Du, Cindy Yu et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Cindy Yu United States 10 540 306 220 162 131 40 875
Liang Hong United States 13 313 0.6× 206 0.7× 307 1.4× 114 0.7× 49 0.4× 69 605
Jukka Nyblom Finland 15 852 1.6× 468 1.5× 655 3.0× 309 1.9× 90 0.7× 24 1.4k
Lynda Khalaf Canada 17 518 1.0× 312 1.0× 418 1.9× 184 1.1× 61 0.5× 58 872
Toshiaki Watanabe Japan 13 467 0.9× 395 1.3× 210 1.0× 32 0.2× 57 0.4× 42 620
Walter Distaso United Kingdom 15 381 0.7× 377 1.2× 184 0.8× 63 0.4× 23 0.2× 41 668
Denis Pelletier United States 8 417 0.8× 429 1.4× 199 0.9× 68 0.4× 9 0.1× 21 623
Heather M. Anderson Australia 14 1.0k 1.9× 686 2.2× 919 4.2× 51 0.3× 50 0.4× 36 1.4k
Chirok Han South Korea 12 338 0.6× 64 0.2× 163 0.7× 113 0.7× 20 0.2× 39 557
Sungbae An Singapore 7 832 1.5× 335 1.1× 905 4.1× 32 0.2× 56 0.4× 12 1.1k
Alain Hecq Netherlands 15 446 0.8× 268 0.9× 355 1.6× 42 0.3× 27 0.2× 62 597

Countries citing papers authored by Cindy Yu

Since Specialization
Citations

This map shows the geographic impact of Cindy Yu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Cindy Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cindy Yu more than expected).

Fields of papers citing papers by Cindy Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cindy Yu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Cindy Yu. The network helps show where Cindy Yu may publish in the future.

Co-authorship network of co-authors of Cindy Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Cindy Yu. A scholar is included among the top collaborators of Cindy Yu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Cindy Yu. Cindy Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Yu, Cindy, et al.. (2023). The Application of Symbolic Regression on Identifying Implied Volatility Surface. Mathematics. 11(9). 2108–2108. 2 indexed citations
3.
Zhu, Zhengyuan, et al.. (2023). Variable Selection in Macroeconomic Forecasting with Many Predictors. Econometrics and Statistics. 36. 19–36. 2 indexed citations
4.
Yu, Cindy, et al.. (2021). Determining Number of Factors in Dynamic Factor Models Contributing to GDP Nowcasting. Mathematics. 9(22). 2865–2865. 2 indexed citations
5.
Zhang, Yixiao, Cindy Yu, & Haitao Li. (2021). Nowcasting GDP Using Dynamic Factor Model with Unknown Number of Factors and Stochastic Volatility: A Bayesian Approach. Econometrics and Statistics. 24. 75–93.
6.
Li, Erica X. N., Guo-Liang Ma, Shujing Wang, & Cindy Yu. (2021). Fundamental Anomalies. SSRN Electronic Journal. 1 indexed citations
7.
Yu, Cindy, et al.. (2020). Obtaining a Balanced Area Sample for the Bureau of Land Management Rangeland Survey. Journal of Agricultural Biological and Environmental Statistics. 25(2). 250–275. 5 indexed citations
8.
Yu, Cindy, et al.. (2019). A computationally efficient method for selecting a split questionnaire design. Communications in Statistics - Simulation and Computation. 51(5). 2464–2486. 3 indexed citations
9.
Du, Xiaodong, Cindy Yu, David A. Hennessy, & Ruiqing Miao. (2015). Geography of crop yield skewness. Agricultural Economics. 46(4). 463–473. 12 indexed citations
10.
Potoski, Matthew, et al.. (2015). Temperature Biases in Public Opinion Surveys. Weather Climate and Society. 7(2). 192–196. 6 indexed citations
11.
Chen, Song Xi, Liang Peng, & Cindy Yu. (2013). Parameter estimation and model testing for Markov processes via conditional characteristic functions. Bernoulli. 19(1). 6 indexed citations
12.
Yu, Cindy, et al.. (2013). Estimating multiple treatment effects using two-phase semiparametric regression estimators. Electronic Journal of Statistics. 7(none). 1 indexed citations
13.
Du, Xiaodong, David A. Hennessy, & Cindy Yu. (2012). Testing Day's Conjecture that More Nitrogen Decreases Crop Yield Skewness. American Journal of Agricultural Economics. 94(1). 225–237. 20 indexed citations
14.
Kim, Jae‐Kwang & Cindy Yu. (2011). Replication variance estimation under two-phase sampling. Iowa State University Digital Repository (Iowa State University). 7 indexed citations
15.
Legg, Jason C. & Cindy Yu. (2011). A comparison of sample set restriction procedures. Quality Engineering. 56(1). 39–40. 4 indexed citations
16.
Li, Wen, Cindy Yu, Alicia Carriquiry, & Wolfgang Kliemann. (2010). The asymptotic behavior of the R/S statistic for fractional Brownian motion. Statistics & Probability Letters. 81(1). 83–91. 5 indexed citations
17.
Afify, Alaa, et al.. (2009). The Diagnostic Utility of Cell Blocks Prepared From Residual SurePath Pap Material for Detection of Human Papilloma Virus. Applied immunohistochemistry & molecular morphology. 17(2). 108–114. 9 indexed citations
18.
Chan, Ngai Hang, Song Xi Chen, Liang Peng, & Cindy Yu. (2009). Empirical Likelihood Methods Based on Characteristic Functions With Applications to Lévy Processes. Journal of the American Statistical Association. 104(488). 1621–1630. 11 indexed citations
19.
Li, Haitao, Martin T. Wells, & Cindy Yu. (2008). A Bayesian Analysis of Return Dynamics with Lévy Jumps. SSRN Electronic Journal. 6 indexed citations
20.
Meyer, Kevin A., et al.. (2006). Tool Failure Analysis in High Speed Milling of Titanium Alloys. 28. 137–142. 3 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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