Xiaosheng Si

8.8k total citations · 5 hit papers
137 papers, 6.8k citations indexed

About

Xiaosheng Si is a scholar working on Safety, Risk, Reliability and Quality, Control and Systems Engineering and Statistics and Probability. According to data from OpenAlex, Xiaosheng Si has authored 137 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Safety, Risk, Reliability and Quality, 49 papers in Control and Systems Engineering and 49 papers in Statistics and Probability. Recurrent topics in Xiaosheng Si's work include Reliability and Maintenance Optimization (97 papers), Statistical Distribution Estimation and Applications (47 papers) and Machine Fault Diagnosis Techniques (33 papers). Xiaosheng Si is often cited by papers focused on Reliability and Maintenance Optimization (97 papers), Statistical Distribution Estimation and Applications (47 papers) and Machine Fault Diagnosis Techniques (33 papers). Xiaosheng Si collaborates with scholars based in China, United Kingdom and United States. Xiaosheng Si's co-authors include Wenbin Wang, Changhua Hu, Zhengxin Zhang, Donghua Zhou, Yaguo Lei, Tianmei Li, Michael Pecht, Changhua Hu, Jianxun Zhang and Hong Pei and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, European Journal of Operational Research and Expert Systems with Applications.

In The Last Decade

Xiaosheng Si

131 papers receiving 6.6k citations

Hit Papers

Remaining useful life estimation – A review on the statis... 2010 2026 2015 2020 2010 2018 2012 2012 2024 500 1000 1.5k
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. Remaining useful life estimation – A review on the statistical data driven approaches
    2010 1.5k citations Xiaosheng Si et al. profile →
  2. Degradation data analysis and remaining useful life estimation: A review on Wiener-process-based methods
    2018 498 citations Zhengxin Zhang, Xiaosheng Si et al. profile →
  3. Remaining Useful Life Estimation Based on a Nonlinear Diffusion Degradation Process
    2012 484 citations Xiaosheng Si, Changhua Hu et al. profile →
  4. A Wiener-process-based degradation model with a recursive filter algorithm for remaining useful life estimation
    2012 369 citations Xiaosheng Si et al. Mechanical Systems and Signal Processing profile →
  5. A review on physics-informed data-driven remaining useful life prediction: Challenges and opportunities
    2024 154 citations Huiqin Li, Zhengxin Zhang et al. Mechanical Systems and Signal Processing profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaosheng Si China 36 4.3k 3.2k 1.4k 1.3k 1.2k 137 6.8k
Wenbin Wang China 26 3.0k 0.7× 2.0k 0.6× 858 0.6× 692 0.5× 780 0.6× 64 4.6k
Zhi‐Sheng Ye Singapore 38 3.9k 0.9× 1.2k 0.4× 1.9k 1.4× 804 0.6× 463 0.4× 148 5.6k
Nagi Gebraeel United States 35 2.7k 0.6× 2.3k 0.7× 698 0.5× 366 0.3× 816 0.7× 85 4.6k
Haitao Liao United States 35 2.6k 0.6× 1.2k 0.4× 817 0.6× 1.1k 0.8× 556 0.5× 198 4.8k
Changhua Hu China 33 2.2k 0.5× 1.5k 0.5× 745 0.5× 606 0.5× 519 0.4× 122 4.0k
Weiwen Peng China 30 1.5k 0.3× 1.4k 0.4× 483 0.4× 640 0.5× 1.1k 0.9× 108 4.3k
Dragan Banjević Canada 27 2.4k 0.6× 2.7k 0.8× 476 0.3× 284 0.2× 1.3k 1.0× 79 5.4k
Yan‐Feng Li China 41 2.1k 0.5× 1.4k 0.4× 530 0.4× 319 0.2× 1.2k 1.0× 198 5.5k
Christophe Bérenguer France 37 3.5k 0.8× 798 0.2× 1.0k 0.8× 464 0.4× 252 0.2× 132 4.5k
Viliam Makiš Canada 37 1.9k 0.4× 1.3k 0.4× 569 0.4× 159 0.1× 670 0.5× 123 3.4k

Countries citing papers authored by Xiaosheng Si

Since Specialization
Citations

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

Fields of papers citing papers by Xiaosheng Si

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaosheng Si

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaosheng Si. A scholar is included among the top collaborators of Xiaosheng Si 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 Xiaosheng Si. Xiaosheng Si 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.
Li, Huiqin, Zhengxin Zhang, & Xiaosheng Si. (2025). A dual-purpose data-model interactive framework for multi-sensor selection and prognosis. Reliability Engineering & System Safety. 258. 110904–110904. 1 indexed citations
2.
Wang, Zhaoqiang, Changhua Hu, Zheng Zeng, et al.. (2025). Theoretical Analysis and Case Application of Intelligent Joint Predictive Ordering-Replacement Policy Driven by Real-Time Prognostics for IMU. IEEE Transactions on Consumer Electronics. 71(4). 10668–10680.
3.
Si, Xiaosheng, Huiqin Li, Zhengxin Zhang, & Naipeng Li. (2024). A Wiener-process-inspired semi-stochastic filtering approach for prognostics. Reliability Engineering & System Safety. 249. 110200–110200. 12 indexed citations
4.
Li, Huiqin, Zhengxin Zhang, Tianmei Li, & Xiaosheng Si. (2024). A review on physics-informed data-driven remaining useful life prediction: Challenges and opportunities. Mechanical Systems and Signal Processing. 209. 111120–111120. 154 indexed citations breakdown →
5.
Zhang, Jianxun, et al.. (2024). Remaining useful life prediction for stochastic degrading devices incorporating quantization. Reliability Engineering & System Safety. 250. 110223–110223. 13 indexed citations
6.
Li, Huiqin, Xiaosheng Si, Zhengxin Zhang, & Tianmei Li. (2024). A critical review on prognostics for stochastic degrading systems under big data. Fundamental Research. 5(5). 2268–2282. 6 indexed citations
7.
8.
Li, Tianmei, Hong Pei, Xiaosheng Si, & Yaguo Lei. (2023). Prognosis for stochastic degrading systems with massive data: A data-model interactive perspective. Reliability Engineering & System Safety. 237. 109344–109344. 28 indexed citations
9.
10.
Li, Tianmei, et al.. (2023). An Online Remaining Useful Life Prediction Method With Adaptive Degradation Model Calibration. IEEE Sensors Journal. 23(23). 29774–29792. 8 indexed citations
11.
12.
Pei, Hong, Xiaosheng Si, Tianmei Li, Zhengxin Zhang, & Yaguo Lei. (2023). Interactive Prognosis Framework Between Deep Learning and a Stochastic Process Model for Remaining Useful Life Prediction. IEEE Transactions on Neural Networks and Learning Systems. 35(12). 18000–18012. 15 indexed citations
13.
Pei, Hong, Xiaosheng Si, Changhua Hu, et al.. (2022). Bayesian Deep-Learning-Based Prognostic Model for Equipment Without Label Data Related to Lifetime. IEEE Transactions on Systems Man and Cybernetics Systems. 53(1). 504–517. 30 indexed citations
14.
Pang, Zhenan, Hong Pei, Tianmei Li, et al.. (2021). An Adaptive Prognostic Approach for Partially Observable Degrading Products With Random Shocks. IEEE Sensors Journal. 21(16). 17926–17946. 13 indexed citations
15.
Hu, Qin, et al.. (2020). Intelligent Fault Diagnosis Approach Based on Composite Multi-Scale Dimensionless Indicators and Affinity Propagation Clustering. IEEE Sensors Journal. 20(19). 11439–11453. 24 indexed citations
16.
Pei, Hong, Changhua Hu, Xiaosheng Si, et al.. (2019). Remaining Useful Life Prediction for Nonlinear Degraded Equipment With Bivariate Time Scales. IEEE Access. 7. 165166–165180. 14 indexed citations
17.
Li, Tianmei, Hong Pei, Zhenan Pang, Xiaosheng Si, & Jianfei Zheng. (2019). A Sequential Bayesian Updated Wiener Process Model for Remaining Useful Life Prediction. IEEE Access. 8. 5471–5480. 38 indexed citations
18.
Li, Tianmei, et al.. (2019). NHPP Testability Growth Model Considering Testability Growth Effort, Rectifying Delay, and Imperfect Correction. IEEE Access. 8. 9072–9083. 7 indexed citations
19.
Si, Xiaosheng, Changhua Hu, Enrico Zio, & Gang Li. (2015). Modeling for Prognostics and Health Management: Methods and Applications. Mathematical Problems in Engineering. 2015. 1–4. 4 indexed citations
20.
Hu, Changhua & Xiaosheng Si. (2010). Real-time Parameters Estimation of Inertial Platform's Health Condition Based on Belief Rule Base. 31(7). 1454–1465. 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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