Zhi‐Sheng Ye

7.2k total citations · 4 hit papers
148 papers, 5.6k citations indexed

About

Zhi‐Sheng Ye is a scholar working on Safety, Risk, Reliability and Quality, Statistics and Probability and Statistics, Probability and Uncertainty. According to data from OpenAlex, Zhi‐Sheng Ye has authored 148 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Safety, Risk, Reliability and Quality, 59 papers in Statistics and Probability and 58 papers in Statistics, Probability and Uncertainty. Recurrent topics in Zhi‐Sheng Ye's work include Reliability and Maintenance Optimization (83 papers), Statistical Distribution Estimation and Applications (48 papers) and Probabilistic and Robust Engineering Design (32 papers). Zhi‐Sheng Ye is often cited by papers focused on Reliability and Maintenance Optimization (83 papers), Statistical Distribution Estimation and Applications (48 papers) and Probabilistic and Robust Engineering Design (32 papers). Zhi‐Sheng Ye collaborates with scholars based in Singapore, China and Hong Kong. Zhi‐Sheng Ye's co-authors include Nan Chen, Min Xie, Qingqing Zhai, Qiuzhuang Sun, Weiwen Peng, Kwok‐Leung Tsui, Yan Shen, Yu Wang, Loon‐Ching Tang and Piao Chen and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and IEEE Transactions on Automatic Control.

In The Last Decade

Zhi‐Sheng Ye

140 papers receiving 5.6k citations

Hit Papers

Stochastic modelling and ... 2013 2026 2017 2021 2014 2013 2013 2019 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhi‐Sheng Ye Singapore 38 3.9k 1.9k 1.8k 1.2k 1.2k 148 5.6k
Christophe Bérenguer France 37 3.5k 0.9× 1.0k 0.6× 1.5k 0.8× 798 0.6× 1.5k 1.2× 132 4.5k
Haitao Liao United States 35 2.6k 0.7× 817 0.4× 1.1k 0.6× 1.2k 0.9× 710 0.6× 198 4.8k
Wenbin Wang China 26 3.0k 0.8× 858 0.5× 890 0.5× 2.0k 1.6× 609 0.5× 64 4.6k
Xiaosheng Si China 36 4.3k 1.1× 1.4k 0.7× 1.2k 0.6× 3.2k 2.6× 721 0.6× 137 6.8k
Way Kuo United States 43 3.9k 1.0× 1.3k 0.7× 2.5k 1.4× 601 0.5× 1.9k 1.6× 168 6.4k
Nagi Gebraeel United States 35 2.7k 0.7× 698 0.4× 801 0.4× 2.3k 1.8× 570 0.5× 85 4.6k
Yan‐Feng Li China 41 2.1k 0.6× 530 0.3× 2.2k 1.2× 1.4k 1.1× 798 0.7× 198 5.5k
Dragan Banjević Canada 27 2.4k 0.6× 476 0.3× 876 0.5× 2.7k 2.1× 641 0.5× 79 5.4k
Viliam Makiš Canada 37 1.9k 0.5× 569 0.3× 907 0.5× 1.3k 1.0× 633 0.5× 123 3.4k
Hong‐Zhong Huang China 48 2.5k 0.6× 472 0.3× 3.1k 1.7× 1.5k 1.2× 1.0k 0.8× 348 7.8k

Countries citing papers authored by Zhi‐Sheng Ye

Since Specialization
Citations

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

Fields of papers citing papers by Zhi‐Sheng Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhi‐Sheng Ye. 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 Zhi‐Sheng Ye. The network helps show where Zhi‐Sheng Ye may publish in the future.

Co-authorship network of co-authors of Zhi‐Sheng Ye

This figure shows the co-authorship network connecting the top 25 collaborators of Zhi‐Sheng Ye. A scholar is included among the top collaborators of Zhi‐Sheng Ye 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 Zhi‐Sheng Ye. Zhi‐Sheng Ye 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
2.
Ye, Xin, Loon Ching Tang, Zhi‐Sheng Ye, & Lijuan Shen. (2025). Priority assignment of repair services for spatially distributed infrastructure. IISE Transactions. 58(5). 503–517.
3.
Chen, Piao, et al.. (2025). Trajectory-based anomaly detection of vessel motion patterns using profile monitoring. Reliability Engineering & System Safety. 267. 111815–111815.
4.
He, Rui, et al.. (2025). Physics-guided ODE neural network for high-fidelity gearbox dynamics modeling based on vibration measurements. Mechanical Systems and Signal Processing. 232. 112720–112720. 1 indexed citations
5.
Wei, Yujie, Zhen Chen, Zhi‐Sheng Ye, & Ershun Pan. (2024). High-dimensional process monitoring under time-varying operating conditions via covariate-regulated principal component analysis. Reliability Engineering & System Safety. 252. 110440–110440. 2 indexed citations
6.
Zhu, Rong, Weiwen Peng, Zhi‐Sheng Ye, & Min Xie. (2024). Collaborative Prognostics of Lithium-Ion Batteries Using Federated Learning With Dynamic Weighting and Attention Mechanism. IEEE Transactions on Industrial Electronics. 72(1). 980–991. 16 indexed citations
7.
Lu, Biao, et al.. (2024). A predictive opportunistic maintenance policy for a serial–parallel multi-station manufacturing system with heterogeneous components. Reliability Engineering & System Safety. 256. 110711–110711. 4 indexed citations
8.
Jiang, Bin, et al.. (2024). Aeroengine Bearing Time-Varying Skidding Assessment With Prior Knowledge-Embedded Dual Feedback Spatial-Temporal GCN. IEEE Transactions on Cybernetics. 55(2). 826–839. 2 indexed citations
9.
Wang, Lei, et al.. (2023). Bayesian large-kernel attention network for bearing remaining useful life prediction and uncertainty quantification. Reliability Engineering & System Safety. 238. 109421–109421. 34 indexed citations
10.
Wang, Lei, et al.. (2023). DVGTformer: A dual-view graph Transformer to fuse multi-sensor signals for remaining useful life prediction. Mechanical Systems and Signal Processing. 207. 110935–110935. 51 indexed citations
11.
Wu, Tong, et al.. (2023). Spatio-Temporal Analysis and Prediction of Mass Telecommunication Base Station Failure Events. Technometrics. 66(1). 77–89. 1 indexed citations
12.
Cui, Lirong, et al.. (2023). Reliability analysis for systems with self-healing mechanism in degradation-shock dependence processes with changing degradation rate. Reliability Engineering & System Safety. 241. 109671–109671. 26 indexed citations
13.
Fu, Sheng, Piao Chen, & Zhi‐Sheng Ye. (2022). Simplex-Based Proximal Multicategory Support Vector Machine. IEEE Transactions on Information Theory. 69(4). 2427–2451. 2 indexed citations
14.
Kontar, Raed Al, Eunshin Byon, Mosharaf Chowdhury, et al.. (2021). The Internet of Federated Things (IoFT). IEEE Access. 9. 156071–156113. 37 indexed citations
15.
Wang, Yudong, Zhi‐Sheng Ye, & Hongyuan Cao. (2020). On computation of semiparametric maximum likelihood estimators with shape constraints. Biometrics. 77(1). 113–124. 2 indexed citations
16.
Ye, Zhi‐Sheng, et al.. (2020). Accelerated Life Test Planning for Minimizing Misclassification Risks. IEEE Transactions on Reliability. 70(2). 459–471. 2 indexed citations
17.
Chen, Piao, Zhi‐Sheng Ye, & Xun Xiao. (2019). Pairwise model discrimination with applications in lifetime distributions and degradation processes. Naval Research Logistics (NRL). 66(8). 675–686. 10 indexed citations
18.
Chen, Piao & Zhi‐Sheng Ye. (2017). A systematic look at the gamma process capability indices. European Journal of Operational Research. 265(2). 589–597. 16 indexed citations
19.
Chen, Piao & Zhi‐Sheng Ye. (2015). Estimation of Field Reliability Based on Aggregate Lifetime Data. Technometrics. 59(1). 115–125. 50 indexed citations
20.
Ye, Zhi‐Sheng & Nan Chen. (2014). Supplemental Material: The Inverse Gaussian Process as a Degradation Model. Technometrics. 56. 2 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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