Hui Shi

678 total citations
62 papers, 434 citations indexed

About

Hui Shi is a scholar working on Safety, Risk, Reliability and Quality, Control and Systems Engineering and Mechanical Engineering. According to data from OpenAlex, Hui Shi has authored 62 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Safety, Risk, Reliability and Quality, 24 papers in Control and Systems Engineering and 16 papers in Mechanical Engineering. Recurrent topics in Hui Shi's work include Reliability and Maintenance Optimization (25 papers), Machine Fault Diagnosis Techniques (20 papers) and Fault Detection and Control Systems (10 papers). Hui Shi is often cited by papers focused on Reliability and Maintenance Optimization (25 papers), Machine Fault Diagnosis Techniques (20 papers) and Fault Detection and Control Systems (10 papers). Hui Shi collaborates with scholars based in China, United States and United Kingdom. Hui Shi's co-authors include Jianchao Zeng, Xiaohong Zhang, Yanfeng Li, Huifang Niu, Yanli Zhang, Lei Dong, Yajing Li, Weibo Ren, Wenhua Du and Zhijian Wang and has published in prestigious journals such as Expert Systems with Applications, Sensors and Frontiers in Plant Science.

In The Last Decade

Hui Shi

53 papers receiving 423 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hui Shi China 11 186 163 71 66 50 62 434
Ivo Paixão de Medeiros Brazil 9 155 0.8× 237 1.5× 69 1.0× 57 0.9× 18 0.4× 15 437
Jian Qu Canada 10 114 0.6× 238 1.5× 194 2.7× 56 0.8× 64 1.3× 35 482
Dezhen Yang China 14 220 1.2× 169 1.0× 89 1.3× 157 2.4× 62 1.2× 36 562
Shang-Kuo Yang Taiwan 8 103 0.6× 184 1.1× 74 1.0× 61 0.9× 16 0.3× 22 341
Leonardo Ramos Rodrigues Brazil 12 142 0.8× 187 1.1× 38 0.5× 49 0.7× 21 0.4× 43 427
Juseong Lee Netherlands 7 124 0.7× 113 0.7× 32 0.5× 56 0.8× 28 0.6× 17 335
Murat Yildirim United States 11 285 1.5× 184 1.1× 34 0.5× 68 1.0× 44 0.9× 39 545
Rob Vingerhoeds France 11 124 0.7× 256 1.6× 81 1.1× 24 0.4× 26 0.5× 65 523
Jiangbin Zhao China 16 372 2.0× 202 1.2× 95 1.3× 262 4.0× 120 2.4× 54 684
Takao Yokota Japan 11 154 0.8× 86 0.5× 127 1.8× 87 1.3× 89 1.8× 25 520

Countries citing papers authored by Hui Shi

Since Specialization
Citations

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

Fields of papers citing papers by Hui Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hui Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Hui Shi. A scholar is included among the top collaborators of Hui Shi 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 Hui Shi. Hui Shi 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.
Wang, Zhijian, Zhongxin Chen, Yanfeng Li, et al.. (2025). Remaining useful life prediction method based on two-phase adaptive drift Wiener process. Reliability Engineering & System Safety. 258. 110908–110908. 4 indexed citations
2.
Shi, Hui, et al.. (2025). A rolling bearing fault diagnosis framework under variable working conditions considers dynamic feature extraction. Engineering Applications of Artificial Intelligence. 146. 110255–110255. 6 indexed citations
3.
Li, Lijun, et al.. (2025). Zero-Shot Rolling Bearing Fault Diagnosis Based on Attribute Description. Electronics. 14(3). 452–452. 1 indexed citations
4.
Li, Nan, Gang Xie, Xiaohong Zhang, et al.. (2025). Six-dimensional digital twin modeling and software platform design for complex industrial systems. Journal of Intelligent Manufacturing. 37(2). 737–758. 4 indexed citations
5.
6.
Shi, Hui, et al.. (2025). Time-Varying Nonparametric Remaining Useful Life of Systems Based on Adaptive Kernel Auxiliary Particle Filter. IEEE Transactions on Instrumentation and Measurement. 74. 1–14. 4 indexed citations
7.
8.
Zeng, Jianchao, et al.. (2025). Degradation modeling and remaining useful life prediction with dual-time-scale considering system state and individual variability. Reliability Engineering & System Safety. 266. 111666–111666.
9.
Niu, Teng, Jie Lu, Qiang Yu, et al.. (2024). Construction of prediction model for water retention of forest ecosystem in alpine region based on vegetation spectral features. Ecological Indicators. 169. 112889–112889.
10.
Sun, Chaoli, et al.. (2024). Degradation modeling and remaining life prediction of multi-state long-life systems under random environmental influences. Measurement Science and Technology. 35(9). 95110–95110. 2 indexed citations
11.
Wang, Zhijian, Yan‐Feng Li, Lei Dong, et al.. (2024). A remaining useful life prediction framework with adaptive dynamic feedback. Mechanical Systems and Signal Processing. 218. 111595–111595. 7 indexed citations
12.
Shi, Hui, et al.. (2024). Bearing fault diagnosis based on sparsity structure pruning graph attention network. Engineering Research Express. 6(4). 45244–45244. 1 indexed citations
13.
Shi, Hui, et al.. (2024). SVM bearing fault diagnosis based on fast inter-class distance in the feature space and DMPSO algorithm. Measurement Science and Technology. 35(5). 55125–55125. 7 indexed citations
14.
Shi, Hui, et al.. (2023). Remaining useful life prediction for complex systems with multiple indicators of stochastic correlation considering random shocks. Mechanical Systems and Signal Processing. 204. 110767–110767. 22 indexed citations
15.
Li, Yajing, et al.. (2023). An ensembled remaining useful life prediction method with data fusion and stage division. Reliability Engineering & System Safety. 242. 109804–109804. 31 indexed citations
16.
Niu, Huifang, Jianchao Zeng, Hui Shi, Xiaohong Zhang, & Jianyu Liang. (2022). Degradation modeling and remaining useful life prediction for a multi-component system with stochastic dependence. Computers & Industrial Engineering. 175. 108889–108889. 19 indexed citations
17.
Liu, Mingjun, et al.. (2022). Remaining Useful Life Estimation of Fan Slewing Bearings in Nonlinear Wiener Process with Random Covariate Effect. Shock and Vibration. 2022. 1–19. 3 indexed citations
18.
Shi, Hui, et al.. (2022). Real-time remaining useful life prediction based on adaptive kernel window width density. Measurement Science and Technology. 33(10). 105122–105122. 6 indexed citations
19.
Zeng, Jianchao, et al.. (2022). Multi-sensor information fusion-based prediction of remaining useful life of nonlinear Wiener process. Measurement Science and Technology. 33(10). 105106–105106. 15 indexed citations
20.
Niu, Huifang, Jianchao Zeng, Hui Shi, Bin Wang, & Tianye Liu. (2021). A Nonlinear Prognostic Model Based on the Wiener Process with Three Sources of Uncertainty. Shock and Vibration. 2021(1). 4 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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