Yili Hong

2.8k total citations
103 papers, 1.9k citations indexed

About

Yili Hong is a scholar working on Statistics, Probability and Uncertainty, Safety, Risk, Reliability and Quality and Statistics and Probability. According to data from OpenAlex, Yili Hong has authored 103 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Statistics, Probability and Uncertainty, 44 papers in Safety, Risk, Reliability and Quality and 41 papers in Statistics and Probability. Recurrent topics in Yili Hong's work include Reliability and Maintenance Optimization (42 papers), Statistical Distribution Estimation and Applications (38 papers) and Probabilistic and Robust Engineering Design (34 papers). Yili Hong is often cited by papers focused on Reliability and Maintenance Optimization (42 papers), Statistical Distribution Estimation and Applications (38 papers) and Probabilistic and Robust Engineering Design (34 papers). Yili Hong collaborates with scholars based in United States, China and Taiwan. Yili Hong's co-authors include William Q. Meeker, Zhi‐Sheng Ye, Bing Xing Wang, Rong Pan, James D. McCalley, Guanqi Fang, Qingyu Yang, Luis A. Escobar, Yimeng Xie and Ketai He and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Biometrics.

In The Last Decade

Yili Hong

95 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yili Hong United States 25 909 632 611 261 174 103 1.9k
Nikolaos Limnios France 26 762 0.8× 631 1.0× 558 0.9× 396 1.5× 75 0.4× 143 2.3k
Rui Kang China 31 1.5k 1.6× 578 0.9× 1.2k 2.0× 409 1.6× 236 1.4× 289 3.6k
Anne Barros France 31 1.9k 2.1× 482 0.8× 981 1.6× 743 2.8× 195 1.1× 89 2.6k
Alyson G. Wilson United States 22 456 0.5× 363 0.6× 637 1.0× 264 1.0× 19 0.1× 70 1.4k
Harry F. Martz United States 21 883 1.0× 995 1.6× 1.2k 1.9× 388 1.5× 34 0.2× 83 2.2k
Hiroyuki Okamura Japan 22 692 0.8× 329 0.5× 144 0.2× 906 3.5× 34 0.2× 230 2.0k
Laurence A. Baxter United States 17 418 0.5× 401 0.6× 315 0.5× 198 0.8× 194 1.1× 61 3.2k
Maxim Finkelstein South Africa 35 3.2k 3.5× 1.8k 2.9× 1.6k 2.7× 1.5k 5.6× 273 1.6× 252 4.2k
Ping Jiang China 21 299 0.3× 193 0.3× 179 0.3× 67 0.3× 116 0.7× 92 1.3k
G. S. Mahapatra India 25 280 0.3× 299 0.5× 144 0.2× 196 0.8× 38 0.2× 140 2.0k

Countries citing papers authored by Yili Hong

Since Specialization
Citations

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

Fields of papers citing papers by Yili Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yili Hong

This figure shows the co-authorship network connecting the top 25 collaborators of Yili Hong. A scholar is included among the top collaborators of Yili Hong 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 Yili Hong. Yili Hong 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.
Liu, Xiao, et al.. (2025). Modeling multivariate degradation data with dynamic covariates under a Bayesian framework. Reliability Engineering & System Safety. 261. 111115–111115. 2 indexed citations
2.
Clark, Jeanne M., et al.. (2025). DR-AIR: A data repository bridging the research gap in AI reliability. Quality Engineering. 1–22.
3.
Xu, Li, Yili Hong, Max D. Morris, & Kirk W. Cameron. (2024). Prediction for distributional outcomes in high-performance computing input/output variability. Journal of the Royal Statistical Society Series C (Applied Statistics). 73(3). 561–580. 1 indexed citations
4.
Hong, Yili, et al.. (2024). Multivariate Functional Clustering with Variable Selection and Application to Sensor Data from Engineering Systems. RePEc: Research Papers in Economics. 3(2). 203–218.
5.
Min, Jie, et al.. (2024). Applied Statistics in the Era of Artificial Intelligence: A Review and\n Vision. arXiv (Cornell University).
6.
Cho, Youngjin, et al.. (2024). Reliability study of battery lives: A functional degradation analysis approach. The Annals of Applied Statistics. 18(4).
7.
Xu, Li, Yili Hong, Rong Pan, et al.. (2022). Design strategies and approximation methods for high-performance computing variability management. Journal of Quality Technology. 55(1). 88–103. 2 indexed citations
8.
Lux, Thomas, et al.. (2020). Interpolation of sparse high-dimensional data. Numerical Algorithms. 88(1). 281–313. 10 indexed citations
9.
Xiang, Yisha, et al.. (2020). Optimal burn-in policies for multiple dependent degradation processes. IISE Transactions. 1–31. 10 indexed citations
10.
Lux, Thomas, Layne T. Watson, Bo Li, et al.. (2018). Predictive modeling of I/O characteristics in high performance computing systems. 8. 3 indexed citations
11.
Watson, Layne T., Thomas Lux, Li Xu, et al.. (2018). Predicting system performance by interpolation using a high-dimensional delaunay triangulation. 2. 2 indexed citations
12.
Watson, Layne T., Thomas Lux, Bo Li, et al.. (2018). Computing the Umbrella Neighbourhood of a Vertex in the Delaunay Triangulation and a Single Voronoi Cell in Arbitrary Dimension. 9. 1–8. 1 indexed citations
13.
Watson, Layne T., Thomas Lux, Li Xu, et al.. (2018). A polynomial time algorithm for multivariate interpolation in arbitrary dimension via the Delaunay triangulation. 1–8. 7 indexed citations
14.
Xie, Yimeng, Yili Hong, Luis A. Escobar, & William Q. Meeker. (2017). A general algorithm for computing simultaneous prediction intervals for the (log)-location-scale family of distributions. Journal of Statistical Computation and Simulation. 87(8). 1559–1576.
15.
Lux, Thomas, Layne T. Watson, Bo Li, et al.. (2017). Predictive Modeling of I/O Characteristics in High Performance Computing Systems. 3 indexed citations
16.
Yang, Qingyu, et al.. (2017). A Copula-Based Trend-Renewal Process Model for Analysis of Repairable Systems With Multitype Failures. IEEE Transactions on Reliability. 66(3). 590–602. 24 indexed citations
17.
Xie, Yimeng, et al.. (2017). Semiparametric Models for Accelerated Destructive Degradation Test Data Analysis. Technometrics. 60(2). 222–234. 18 indexed citations
18.
Liu, Xiang & Yili Hong. (2015). Analysis of railroad tank car releases using a generalized binomial model. Accident Analysis & Prevention. 84. 20–26. 9 indexed citations
19.
Hong, Yili, et al.. (2014). Comments : EM-based likelihood inference for some lifetime distributions based on left truncated and right censored data and associated model discrimination. 48(2). 181–182. 1 indexed citations
20.
Hong, Yili & William Q. Meeker. (2010). The importance of identifying different components of a mixture distribution in the prediction of field returns. Applied Stochastic Models in Business and Industry. 27(3). 280–289. 1 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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Breakdown of academic impact, for papers by Nikolaos Limnios Breakdown of academic impact, for papers by Rui Kang Breakdown of academic impact, for papers by Anne Barros Breakdown of academic impact, for papers by Alyson G. Wilson Breakdown of academic impact, for papers by Harry F. Martz Breakdown of academic impact, for papers by Hiroyuki Okamura Breakdown of academic impact, for papers by Laurence A. Baxter Breakdown of academic impact, for papers by Maxim Finkelstein Breakdown of academic impact, for papers by Ping Jiang Breakdown of academic impact, for papers by G. S. Mahapatra
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