Tailen Hsing

3.8k total citations · 1 hit paper
61 papers, 2.3k citations indexed

About

Tailen Hsing is a scholar working on Finance, Statistics and Probability and Mathematical Physics. According to data from OpenAlex, Tailen Hsing has authored 61 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Finance, 22 papers in Statistics and Probability and 20 papers in Mathematical Physics. Recurrent topics in Tailen Hsing's work include Financial Risk and Volatility Modeling (24 papers), Bayesian Methods and Mixture Models (17 papers) and Statistical Methods and Inference (16 papers). Tailen Hsing is often cited by papers focused on Financial Risk and Volatility Modeling (24 papers), Bayesian Methods and Mixture Models (17 papers) and Statistical Methods and Inference (16 papers). Tailen Hsing collaborates with scholars based in United States, Singapore and Switzerland. Tailen Hsing's co-authors include Yehua Li, M. R. Leadbetter, Richard A. Davis, Raymond J. Carroll, J. Hüsler, William P. McCormick, Michael R. Chernick, R. L. Eubank, Haobo Ren and Noel Cressie and has published in prestigious journals such as Technometrics, Biometrika and Pattern Recognition.

In The Last Decade

Tailen Hsing

61 papers receiving 2.2k citations

Hit Papers

Theoretical Foundations of Functional Data Analysis, with... 2015 2026 2018 2022 2015 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. Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators
    2015 418 citations Tailen Hsing et al. Wiley series in probability and statistics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tailen Hsing United States 22 1.1k 1.0k 511 417 333 61 2.3k
Denis Bosq France 14 1.4k 1.2× 775 0.8× 571 1.1× 411 1.0× 185 0.6× 63 2.4k
Wei Biao Wu United States 30 1.6k 1.4× 1.3k 1.3× 516 1.0× 712 1.7× 280 0.8× 158 3.2k
Paul Deheuvels France 23 1.1k 0.9× 995 1.0× 482 0.9× 205 0.5× 356 1.1× 87 1.9k
Sándor Csörgő Hungary 29 1.5k 1.4× 985 1.0× 487 1.0× 231 0.6× 295 0.9× 97 2.3k
Miklós Csörgő Canada 26 1.9k 1.7× 1.4k 1.4× 514 1.0× 340 0.8× 681 2.0× 169 3.5k
Paul Doukhan France 21 1.7k 1.5× 1.9k 1.9× 800 1.6× 868 2.1× 561 1.7× 63 3.6k
I. V. Basawa United States 27 1.2k 1.0× 933 0.9× 304 0.6× 363 0.9× 170 0.5× 89 2.0k
Péter Major Hungary 18 1.0k 0.9× 1.1k 1.1× 397 0.8× 340 0.8× 747 2.2× 40 2.5k
Hira L. Koul United States 29 2.0k 1.7× 1.1k 1.0× 371 0.7× 444 1.1× 98 0.3× 115 2.6k
Winfried Stute Germany 29 2.7k 2.3× 825 0.8× 710 1.4× 311 0.7× 93 0.3× 91 3.3k

Countries citing papers authored by Tailen Hsing

Since Specialization
Citations

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

Fields of papers citing papers by Tailen Hsing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tailen Hsing. 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 Tailen Hsing. The network helps show where Tailen Hsing may publish in the future.

Co-authorship network of co-authors of Tailen Hsing

This figure shows the co-authorship network connecting the top 25 collaborators of Tailen Hsing. A scholar is included among the top collaborators of Tailen Hsing 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 Tailen Hsing. Tailen Hsing 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.
Stoev, Stilian, et al.. (2022). Tangent fields, intrinsic stationarity, and self similarity. Electronic Journal of Probability. 27(none). 1 indexed citations
2.
Hsing, Tailen, et al.. (2015). Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators. Wiley series in probability and statistics. 418 indexed citations breakdown →
3.
Shin, Hyejin & Tailen Hsing. (2012). Linear prediction in functional data analysis. Stochastic Processes and their Applications. 122(11). 3680–3700. 8 indexed citations
4.
Eubank, R. L. & Tailen Hsing. (2007). Canonical correlation for stochastic processes. Stochastic Processes and their Applications. 118(9). 1634–1661. 34 indexed citations
5.
Li, Yehua & Tailen Hsing. (2006). On rates of convergence in functional linear regression. Journal of Multivariate Analysis. 98(9). 1782–1804. 80 indexed citations
6.
Hsing, Tailen, Liyu Liu, Marcel Brun, & Edward R. Dougherty. (2004). The coefficient of intrinsic dependence (feature selection using el CID). Pattern Recognition. 38(5). 623–636. 19 indexed citations
7.
Hsing, Tailen, et al.. (2003). Relation Between Permutation-Test P Values and Classifier Error Estimates. Machine Learning. 52(1-2). 11–30. 18 indexed citations
8.
Hsing, Tailen. (2000). Linear Processes, Long-Range Dependence and Asymptotic Expansions. Statistical Inference for Stochastic Processes. 3(1-2). 19–29. 3 indexed citations
9.
Hsing, Tailen & M. R. Leadbetter. (1997). On multiple-level excursions by stationary processes with deterministic peaks. Stochastic Processes and their Applications. 71(1). 11–32. 1 indexed citations
10.
Li, Ta‐Hsin, et al.. (1997). Complex Stochastic Systems and Engineering. Technometrics. 39(3). 336–336. 3 indexed citations
11.
Hsing, Tailen. (1997). Complex Stochastic Systems and Engineering. Technometrics. 39(3). 336–336. 9 indexed citations
12.
Hsing, Tailen. (1995). A Note on the Asymptotic Independence of the Sum and Maximum of Strongly Mixing Stationary Random Variables. The Annals of Probability. 23(2). 45 indexed citations
13.
Hsing, Tailen. (1991). Estimating the parameters of rare events. Stochastic Processes and their Applications. 37(1). 117–139. 44 indexed citations
14.
Leadbetter, M. R. & Tailen Hsing. (1990). Limit theorems for strongly mixing stationary random measures. Stochastic Processes and their Applications. 36(2). 231–243. 13 indexed citations
15.
Hsing, Tailen & J. L. Teugels. (1989). Extremal properties of shot noise processes. Advances in Applied Probability. 21(3). 513–525. 19 indexed citations
16.
Hsing, Tailen. (1989). Extreme value theory for multivariate stationary sequences. Journal of Multivariate Analysis. 29(2). 274–291. 33 indexed citations
17.
Hsing, Tailen. (1988). On the extreme order statistics for a stationary sequence. Stochastic Processes and their Applications. 29(1). 155–169. 25 indexed citations
18.
Hsing, Tailen. (1987). On the characterization of certain point processes. Stochastic Processes and their Applications. 26. 297–316. 32 indexed citations
19.
Hsing, Tailen. (1986). Extreme value theory for suprema of random variables with regularly varying tail probabilities. Stochastic Processes and their Applications. 22(1). 51–57. 9 indexed citations
20.
Hsing, Tailen. (1984). Point Processes Associated with Extreme Value Theory.. Defense Technical Information Center (DTIC). 4 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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