Y. L. Tong

3.3k total citations · 1 hit paper
56 papers, 1.8k citations indexed

About

Y. L. Tong is a scholar working on Statistics and Probability, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, Y. L. Tong has authored 56 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Statistics and Probability, 16 papers in Management Science and Operations Research and 15 papers in Artificial Intelligence. Recurrent topics in Y. L. Tong's work include Statistical Distribution Estimation and Applications (16 papers), Probability and Risk Models (14 papers) and Advanced Statistical Methods and Models (11 papers). Y. L. Tong is often cited by papers focused on Statistical Distribution Estimation and Applications (16 papers), Probability and Risk Models (14 papers) and Advanced Statistical Methods and Models (11 papers). Y. L. Tong collaborates with scholars based in United States, Ireland and United Kingdom. Y. L. Tong's co-authors include Alan Julian Izenman, Morris L. Eaton, John Bibby, Philip J. Boland, Frank Proschan, Moshe Shaked, Iris Tien, J. George Shanthikumar, M. L. Eaton and Ingram Olkin and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Biometrics.

In The Last Decade

Y. L. Tong

49 papers receiving 1.6k citations

Hit Papers

The Multivariate Normal Distribution 1991 2026 2002 2014 1991 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Y. L. Tong United States 16 678 482 337 248 201 56 1.8k
Erhan Çınlar United States 21 538 0.8× 518 1.1× 214 0.6× 173 0.7× 423 2.1× 57 2.2k
S. Zacks United States 21 1.5k 2.2× 715 1.5× 641 1.9× 505 2.0× 103 0.5× 128 2.9k
Allan Gut Sweden 22 807 1.2× 1.2k 2.5× 232 0.7× 316 1.3× 280 1.4× 88 2.4k
Walter L. Smith United States 17 472 0.7× 468 1.0× 161 0.5× 203 0.8× 272 1.4× 46 2.1k
Arjun K. Gupta United States 16 1.0k 1.5× 248 0.5× 318 0.9× 442 1.8× 46 0.2× 97 1.9k
Morris L. Eaton United States 22 1.2k 1.7× 446 0.9× 270 0.8× 536 2.2× 33 0.2× 71 2.3k
Bruce Jay Collings United States 13 391 0.6× 284 0.6× 549 1.6× 409 1.6× 36 0.2× 21 2.6k
Antonio Di Crescenzo Italy 23 1.0k 1.5× 288 0.6× 498 1.5× 155 0.6× 256 1.3× 130 1.9k
Gerald S. Rogers United States 13 837 1.2× 391 0.8× 336 1.0× 455 1.8× 38 0.2× 30 1.9k
A. K. Md. Ehsanes Saleh Canada 22 1.3k 2.0× 173 0.4× 483 1.4× 227 0.9× 60 0.3× 117 1.8k

Countries citing papers authored by Y. L. Tong

Since Specialization
Citations

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

Fields of papers citing papers by Y. L. Tong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Y. L. Tong. 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 Y. L. Tong. The network helps show where Y. L. Tong may publish in the future.

Co-authorship network of co-authors of Y. L. Tong

This figure shows the co-authorship network connecting the top 25 collaborators of Y. L. Tong. A scholar is included among the top collaborators of Y. L. Tong 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 Y. L. Tong. Y. L. Tong 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.
Zuo, Ran, et al.. (2025). Region-optimal Gaussian process surrogate model via Dirichlet process for cold-flow and combustion emulations. Computer Methods in Applied Mechanics and Engineering. 439. 117894–117894.
2.
Tong, Y. L. & Iris Tien. (2019). Probability Propagation Method for Reliability Assessment of Acyclic Directed Networks. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering. 5(3). 3 indexed citations
3.
Tong, Y. L. & Iris Tien. (2019). Analytical probability propagation method for reliability analysis of general complex networks. Reliability Engineering & System Safety. 189. 21–30. 7 indexed citations
4.
Tong, Y. L.. (1997). The role of the covariance matrix in the least-squares estimation for a common mean. Linear Algebra and its Applications. 264. 313–323. 4 indexed citations
5.
Tong, Y. L.. (1997). Some majorization orderings of heterogeneity in a class of epidemics. Journal of Applied Probability. 34(1). 84–93. 5 indexed citations
6.
Shaked, Moshe, J. George Shanthikumar, & Y. L. Tong. (1995). Parametric Schur Convexity and Arrangement Monotonicity Properties of Partial Sums. Journal of Multivariate Analysis. 53(2). 293–310. 20 indexed citations
7.
Tong, Y. L.. (1994). Some recent developments on majorization inequalities in probability and statistics. Linear Algebra and its Applications. 199. 69–90. 18 indexed citations
8.
Olkin, Ingram & Y. L. Tong. (1994). Positive Dependence of a Class of Multivariate Exponential Distributions. SIAM Journal on Control and Optimization. 32(4). 965–974. 7 indexed citations
9.
Boland, Philip J., Frank Proschan, & Y. L. Tong. (1992). A stochastic ordering of partial sums of independent random variables and of some random processes. Journal of Applied Probability. 29(3). 645–654. 4 indexed citations
10.
Shaked, Moshe & Y. L. Tong. (1990). Positive dependence of random variables with a common marginal distribution. Communication in Statistics- Theory and Methods. 19(11). 4299–4313. 1 indexed citations
11.
Tong, Y. L.. (1989). Inequalities for a Class of Positively Dependent Random Variables with a Common Marginal. The Annals of Statistics. 17(1). 13 indexed citations
12.
Shaked, Moshe & Y. L. Tong. (1988). Inequalities for probability contents of convex sets via geometric average. Journal of Multivariate Analysis. 24(2). 330–340. 4 indexed citations
13.
Boland, Philip J., Frank Proschan, & Y. L. Tong. (1988). Moment and Geometric Probability Inequalities Arising from Arrangement Increasing Functions. The Annals of Probability. 16(1). 19 indexed citations
14.
Tong, Y. L. & M. L. Eaton. (1988). Lectures on Topics in Probability Inequalities.. Journal of the American Statistical Association. 83(403). 904–904. 12 indexed citations
15.
Boland, Philip J., Frank Proschan, & Y. L. Tong. (1987). Fault Diversity in Software Reliability. Probability in the Engineering and Informational Sciences. 1(2). 175–187. 8 indexed citations
16.
Shaked, Moshe & Y. L. Tong. (1985). Some partial orderings of exchangeable random variables by positive dependence. Journal of Multivariate Analysis. 17(3). 333–349. 20 indexed citations
17.
Milton, Roy C., Y. L. Tong, & V. R. R. Uppuluri. (1985). Milton Sobel: An Appreciation. American Journal of Mathematical and Management Sciences. 5(3-4). 372–394. 1 indexed citations
18.
Tong, Y. L.. (1983). Some Distribution Properties of the Sample Species-Diversity Indices and Their Applications. Biometrics. 39(4). 999–999. 15 indexed citations
19.
Tong, Y. L.. (1978). An Adaptive Solution to Ranking and Selection Problems. The Annals of Statistics. 6(3). 6 indexed citations
20.
Tong, Y. L.. (1976). Parameter Estimation in Studying Circadian Rhythms. Biometrics. 32(1). 85–85. 105 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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