Tien-Chung Hu

1.3k total citations
61 papers, 875 citations indexed

About

Tien-Chung Hu is a scholar working on Management Science and Operations Research, Mathematical Physics and Statistics and Probability. According to data from OpenAlex, Tien-Chung Hu has authored 61 papers receiving a total of 875 indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Management Science and Operations Research, 25 papers in Mathematical Physics and 22 papers in Statistics and Probability. Recurrent topics in Tien-Chung Hu's work include Probability and Risk Models (49 papers), Stochastic processes and statistical mechanics (21 papers) and Financial Risk and Volatility Modeling (11 papers). Tien-Chung Hu is often cited by papers focused on Probability and Risk Models (49 papers), Stochastic processes and statistical mechanics (21 papers) and Financial Risk and Volatility Modeling (11 papers). Tien-Chung Hu collaborates with scholars based in Taiwan, Canada and United States. Tien-Chung Hu's co-authors include Andrei Volodin, Robert L. Taylor, Jianqing Fan, Young K. Truong, Andrew Rosalsky, Shuhe Hu, Ferenc Móricz, Soo Hak Sung, Pingyan Chen and Xuejun Wang and has published in prestigious journals such as Journal of Mathematical Analysis and Applications, The American Statistician and American Mathematical Monthly.

In The Last Decade

Tien-Chung Hu

50 papers receiving 796 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tien-Chung Hu Taiwan 16 634 483 291 225 174 61 875
Han‐Ying Liang China 16 538 0.8× 719 1.5× 151 0.5× 247 1.1× 289 1.7× 102 964
Andrew Rosalsky United States 18 703 1.1× 410 0.8× 325 1.1× 264 1.2× 132 0.8× 118 922
Andrei Volodin Canada 20 1.2k 1.8× 769 1.6× 486 1.7× 367 1.6× 241 1.4× 168 1.4k
Edward Omey Belgium 16 441 0.7× 302 0.6× 259 0.9× 327 1.5× 99 0.6× 84 852
Konstantin Borovkov Australia 15 243 0.4× 245 0.5× 338 1.2× 242 1.1× 100 0.6× 83 728
Jaap Geluk Netherlands 12 294 0.5× 221 0.5× 129 0.4× 403 1.8× 69 0.4× 39 746
A. de Acosta United States 17 286 0.5× 255 0.5× 429 1.5× 382 1.7× 70 0.4× 34 801
Uwe Einmahl United States 14 269 0.4× 501 1.0× 188 0.6× 237 1.1× 208 1.2× 33 831
Josef Steinebach Germany 18 315 0.5× 657 1.4× 205 0.7× 536 2.4× 166 1.0× 106 1.2k
Lanh Tat Tran United States 20 336 0.5× 928 1.9× 128 0.4× 503 2.2× 361 2.1× 51 1.4k

Countries citing papers authored by Tien-Chung Hu

Since Specialization
Citations

This map shows the geographic impact of Tien-Chung Hu'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 Tien-Chung Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tien-Chung Hu more than expected).

Fields of papers citing papers by Tien-Chung Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tien-Chung Hu. 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 Tien-Chung Hu. The network helps show where Tien-Chung Hu may publish in the future.

Co-authorship network of co-authors of Tien-Chung Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Tien-Chung Hu. A scholar is included among the top collaborators of Tien-Chung Hu 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 Tien-Chung Hu. Tien-Chung Hu 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.
Wang, Xuejun, Xi Chen, Tien-Chung Hu, & Andrei Volodin. (2023). Complete f -moment convergence for m -asymptotic negatively associated random variables and related statistical applications. Journal of nonparametric statistics. 36(4). 911–939.
2.
Chandra, Tapas Kumar, Tien-Chung Hu, & Andrew Rosalsky. (2021). On Uniform Nonintegrability and Weak Uniform Nonintegrability of a Sequence of Random Variables with Respect to a Nonnegative Array. Calcutta Statistical Association Bulletin. 73(1). 53–61.
3.
4.
Chen, Pingyan, Xiaoqin Ye, & Tien-Chung Hu. (2015). A strong law and a law of the single logarithm for arrays of rowwise independent random variables. Statistics & Probability Letters. 110. 169–174.
5.
Li, Wei, Pingyan Chen, & Tien-Chung Hu. (2014). Complete convergence for moving average processes associated to heavy-tailed distributions and applications. Journal of Mathematical Analysis and Applications. 420(1). 66–76. 6 indexed citations
6.
Hu, Tien-Chung, et al.. (2014). Limiting behaviour for arrays of row-wise END random variables under conditions of h-integrability. Stochastics. 87(3). 409–423. 8 indexed citations
7.
Hu, Tien-Chung, et al.. (2013). An application ofφ-subgaussian technique to Fourier analysis. Journal of Mathematical Analysis and Applications. 408(1). 114–124. 7 indexed citations
8.
Hu, Tien-Chung, Andrew Rosalsky, & Andrei Volodin. (2008). On convergence properties of sums of dependent random variables under second moment and covariance restrictions. Statistics & Probability Letters. 78(14). 1999–2005. 17 indexed citations
9.
Chen, Pingyan, Tien-Chung Hu, & Andrei Volodin. (2008). Limiting behaviour of moving average processes under -mixing assumption. Statistics & Probability Letters. 79(1). 105–111. 38 indexed citations
10.
Sung, Soo Hak, Tien-Chung Hu, & Andrei Volodin. (2008). A note on the growth rate in the Fazekas--Klesov general law of large numbers and on the weak law of large numbers for tail series. Publicationes Mathematicae Debrecen. 73(1-2). 1–10. 3 indexed citations
11.
Chen, Pingyan, Pingyan Chen, Tien-Chung Hu, et al.. (2007). On complete convergence for arrays of rowwise negatively associated random variables. Теория вероятностей и ее применения. 52(2). 393–397. 11 indexed citations
12.
Hu, Tien-Chung, et al.. (2006). ON THE WEAK LAWS WITH RANDOM INDICES FOR PARTIAL SUMS FOR ARRAYS OF RANDOM ELEMENTS IN MARTINGALE TYPE p BANACH SPACES. Bulletin of the Korean Mathematical Society. 43(3). 543–549. 2 indexed citations
13.
Hu, Tien-Chung, et al.. (2005). Asymptotic probability for the bootstrapped means deviations from the sample mean. Statistics & Probability Letters. 74(2). 178–186. 1 indexed citations
14.
Hu, Tien-Chung, et al.. (2001). Convergence of randomly weighted sums of Banach space valued random elements and uniform integrability concerning the random weights. Statistics & Probability Letters. 51(2). 155–164. 14 indexed citations
15.
Hu, Tien-Chung & Chunnan Wang. (2001). On convergence for series of random elements. Nonlinear Analysis. 47(2). 1297–1308.
16.
Hu, Tien-Chung, et al.. (1999). On complete convergence for arrays of rowwise independent random elements in banach spaces. Stochastic Analysis and Applications. 17(6). 963–992. 30 indexed citations
17.
Fan, Jianqing, Tien-Chung Hu, & Young K. Truong. (1994). Robust Non-parametric Function Estimation. Scandinavian Journal of Statistics. 21(4). 433–446. 162 indexed citations
18.
Hu, Tien-Chung & N. C. Weber. (1994). On the invariance principle for exchangeable random variables. Statistical Methods & Applications. 3(3). 429–435.
19.
Taylor, Robert L. & Tien-Chung Hu. (1987). Sub-Gaussian Techniques in Proving Strong Laws of Large Numbers. American Mathematical Monthly. 94(3). 295–295. 3 indexed citations
20.
Taylor, Robert L. & Tien-Chung Hu. (1987). On laws of large numbers for exchangeable random variables. Stochastic Analysis and Applications. 5(3). 323–334. 5 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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