Yisha Xiang

2.1k total citations · 1 hit paper
58 papers, 1.6k citations indexed

About

Yisha Xiang is a scholar working on Safety, Risk, Reliability and Quality, Software and Statistics, Probability and Uncertainty. According to data from OpenAlex, Yisha Xiang has authored 58 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Safety, Risk, Reliability and Quality, 21 papers in Software and 16 papers in Statistics, Probability and Uncertainty. Recurrent topics in Yisha Xiang's work include Reliability and Maintenance Optimization (40 papers), Software Reliability and Analysis Research (20 papers) and Risk and Safety Analysis (13 papers). Yisha Xiang is often cited by papers focused on Reliability and Maintenance Optimization (40 papers), Software Reliability and Analysis Research (20 papers) and Risk and Safety Analysis (13 papers). Yisha Xiang collaborates with scholars based in United States, China and United Arab Emirates. Yisha Xiang's co-authors include Suzan Alaswad, Qianmei Feng, Nan Chen, Zhi‐Sheng Ye, Zhicheng Zhu, David W. Coit, Hui Xiao, C. Richard Cassady, Weihang Zhu and Jun Zhuang and has published in prestigious journals such as European Journal of Operational Research, International Journal of Production Research and Reliability Engineering & System Safety.

In The Last Decade

Yisha Xiang

56 papers receiving 1.6k citations

Hit Papers

A review on condition-based maintenance optimization mode... 2016 2026 2019 2022 2016 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
Yisha Xiang United States 17 1.2k 533 494 277 250 58 1.6k
Laurence Dieulle France 14 1.1k 0.9× 477 0.9× 398 0.8× 339 1.2× 248 1.0× 25 1.4k
Yu Zhao China 26 1.3k 1.1× 425 0.8× 616 1.2× 343 1.2× 370 1.5× 96 2.0k
Xiujie Zhao China 22 826 0.7× 326 0.6× 412 0.8× 258 0.9× 252 1.0× 55 1.2k
Xufeng Zhao China 23 1.1k 0.9× 562 1.1× 286 0.6× 572 2.1× 187 0.7× 109 1.5k
Mitra Fouladirad France 25 1.2k 1.0× 438 0.8× 481 1.0× 415 1.5× 415 1.7× 83 1.6k
Bram de Jonge Netherlands 13 785 0.7× 353 0.7× 272 0.6× 132 0.5× 217 0.9× 18 994
Antoine Grall France 29 2.3k 1.9× 899 1.7× 901 1.8× 673 2.4× 559 2.2× 82 2.8k
Qingan Qiu China 32 2.5k 2.1× 1.4k 2.6× 1.1k 2.3× 449 1.6× 285 1.1× 102 2.9k
Éric Levrat France 16 695 0.6× 218 0.4× 264 0.5× 103 0.4× 352 1.4× 69 1.3k
Jeffrey P. Kharoufeh United States 18 650 0.5× 234 0.4× 258 0.5× 238 0.9× 230 0.9× 49 1.1k

Countries citing papers authored by Yisha Xiang

Since Specialization
Citations

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

Fields of papers citing papers by Yisha Xiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yisha Xiang

This figure shows the co-authorship network connecting the top 25 collaborators of Yisha Xiang. A scholar is included among the top collaborators of Yisha Xiang 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 Yisha Xiang. Yisha Xiang 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.
Wang, Jun, et al.. (2025). Artificial intelligence in cardiovascular prognosis and diagnosis: a review. Exploration of Medicine. 6. 1 indexed citations
3.
Xiang, Yisha, et al.. (2024). Dynamic resource matching in manufacturing using deep reinforcement learning. European Journal of Operational Research. 318(2). 408–423. 2 indexed citations
4.
Xiang, Yisha, et al.. (2024). Optimal Hydrocarbon Piping Replacement Decisions Using the Markov Decision Process. Journal of Pipeline Systems Engineering and Practice. 15(3).
5.
Liao, Ying, Yisha Xiang, Zhigen Zhao, & Di Ai. (2024). Bayesian mixed-effect higher-order hidden Markov models with applications to predictive healthcare using electronic health records. IISE Transactions. 57(2). 186–198. 1 indexed citations
6.
Xiao, Hui, et al.. (2024). Joint Optimization of Condition-Based Maintenance and Spare Parts Ordering for a Hidden Multi-State Deteriorating System. IEEE Transactions on Reliability. 74(2). 2503–2514. 6 indexed citations
7.
Zhu, Zhicheng, et al.. (2023). Data-driven remanufacturing planning with parameter uncertainty. European Journal of Operational Research. 309(1). 102–116. 6 indexed citations
8.
Xiao, Hui, et al.. (2023). Optimizing dynamic performance of phased-mission systems with a common bus and warm standby elements. Reliability Engineering & System Safety. 240. 109598–109598. 10 indexed citations
9.
Protopopova, Alexandra, et al.. (2021). Behavioral correlates of urinary output in shelter cats. Applied Animal Behaviour Science. 241. 105397–105397. 3 indexed citations
10.
Xing, Liudong, et al.. (2021). A behavior‐driven reliability modeling method for complex smart systems. Quality and Reliability Engineering International. 37(5). 2065–2084. 14 indexed citations
11.
Xiao, Hui, et al.. (2021). Optimal defense-attack strategies between M defenders and N attackers: A method based on cumulative prospect theory. Reliability Engineering & System Safety. 210. 107510–107510. 20 indexed citations
12.
Xiang, Yisha, et al.. (2020). Reliability Analysis of Vacuum Circuit Breakers with Multiple Failure Modes. 1–6. 2 indexed citations
13.
Zhu, Zhicheng & Yisha Xiang. (2020). Condition-based maintenance for multi-component systems: Modeling, structural properties, and algorithms. Figshare. 29 indexed citations
14.
Liao, Ying, et al.. (2020). Reliability Analysis of Flow Meters with Multiple Failure Modes in the Process Industry. 21. 1–6. 1 indexed citations
15.
Xiang, Yisha, et al.. (2020). Optimal burn-in policies for multiple dependent degradation processes. IISE Transactions. 1–31. 10 indexed citations
16.
Xiang, Yisha & Manuel D. Rossetti. (2014). The effect of backlog queue and load-building processing in a multi-echelon inventory network. Simulation Modelling Practice and Theory. 43. 54–66. 6 indexed citations
17.
Xiang, Yisha, David W. Coit, & Qianmei Feng. (2014). Accelerated burn-in and condition-based maintenance forn-subpopulations subject to stochastic degradation. IIE Transactions. 46(10). 1093–1106. 24 indexed citations
18.
Xiang, Yisha, C. Richard Cassady, & Edward Pohl. (2011). Optimal maintenance policies for systems subject to a Markovian operating environment. Computers & Industrial Engineering. 62(1). 190–197. 48 indexed citations
19.
Rossetti, Manuel D. & Yisha Xiang. (2010). Simulating backlog and load building processes in a two-echelon inventory system. Winter Simulation Conference. 1833–1845. 2 indexed citations
20.
Rossetti, Manuel D., et al.. (2006). An object-oriented framework for simulating multi-echelon inventory systems. Winter Simulation Conference. 1452–1461. 12 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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