Rui Kang

4.8k total citations
289 papers, 3.6k citations indexed

About

Rui Kang is a scholar working on Safety, Risk, Reliability and Quality, Statistics, Probability and Uncertainty and Control and Systems Engineering. According to data from OpenAlex, Rui Kang has authored 289 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 118 papers in Safety, Risk, Reliability and Quality, 94 papers in Statistics, Probability and Uncertainty and 61 papers in Control and Systems Engineering. Recurrent topics in Rui Kang's work include Reliability and Maintenance Optimization (107 papers), Risk and Safety Analysis (55 papers) and Software Reliability and Analysis Research (53 papers). Rui Kang is often cited by papers focused on Reliability and Maintenance Optimization (107 papers), Risk and Safety Analysis (55 papers) and Software Reliability and Analysis Research (53 papers). Rui Kang collaborates with scholars based in China, United States and France. Rui Kang's co-authors include Enrico Zio, Meilin Wen, Xiaoyang Li, Zhiguo Zeng, Yunxia Chen, Ying Chen, Qingyuan Zhang, Michael Pecht, Daqing Li and Shlomo Havlin and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of The Electrochemical Society.

In The Last Decade

Rui Kang

263 papers receiving 3.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rui Kang China 31 1.5k 1.2k 806 578 448 289 3.6k
Yu Liu China 33 1.7k 1.1× 1.4k 1.2× 547 0.7× 283 0.5× 383 0.9× 191 3.6k
Marvin Rausand Norway 31 1.8k 1.2× 2.0k 1.6× 496 0.6× 207 0.4× 310 0.7× 70 4.0k
Yan‐Feng Li China 41 2.1k 1.5× 2.2k 1.7× 1.4k 1.7× 530 0.9× 639 1.4× 198 5.5k
Yan‐Fu Li China 39 1.4k 0.9× 721 0.6× 1.6k 1.9× 202 0.3× 297 0.7× 170 5.1k
Piero Baraldi Italy 38 924 0.6× 1.0k 0.8× 1.8k 2.3× 113 0.2× 396 0.9× 193 4.1k
Enrique López Droguett United States 30 526 0.4× 732 0.6× 1.0k 1.3× 125 0.2× 685 1.5× 163 3.3k
Ėric Châtelet France 26 867 0.6× 576 0.5× 377 0.5× 130 0.2× 348 0.8× 92 2.2k
Joseph H. Saleh United States 30 926 0.6× 896 0.7× 728 0.9× 74 0.1× 236 0.5× 139 3.3k
Pingfeng Wang United States 33 870 0.6× 1.8k 1.4× 1.5k 1.9× 104 0.2× 1.1k 2.5× 222 4.8k
Yu Ding United States 34 383 0.3× 808 0.7× 736 0.9× 190 0.3× 185 0.4× 161 3.8k

Countries citing papers authored by Rui Kang

Since Specialization
Citations

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

Fields of papers citing papers by Rui Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rui Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Rui Kang. A scholar is included among the top collaborators of Rui Kang 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 Rui Kang. Rui Kang 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.
Liang, Jingyu, et al.. (2025). Uncertain Particle Filtering: A New Real-Time State Estimation Method for Failure Prognostics. Mathematics. 13(5). 702–702.
2.
Chen, Wenbin, et al.. (2024). Belief reliability modeling of coarse tracking system for satellite optical communication. Reliability Engineering & System Safety. 256. 110763–110763. 1 indexed citations
3.
Li, Xiaoyang, et al.. (2024). Utilizing Entropy to Systematically Quantify the Resting‐Condition Baroreflex Regulation Function. Complexity. 2024(1). 1 indexed citations
4.
Chen, Qingyu, et al.. (2024). Design and experiment optimize of the vibration harvesting machine of <i>Lycium barbarum</i> L.. Journal of Agricultural Engineering.
5.
Pan, Xing, et al.. (2024). Dynamic risk assessment of Uncertain Random System considering operator's simple emergency-stop action in short time window. Reliability Engineering & System Safety. 252. 110479–110479. 3 indexed citations
6.
Li, Xiaoyang, et al.. (2024). Attractor based performance characterization and reliability evolution for electromechanical systems. Mechanical Systems and Signal Processing. 222. 111803–111803. 2 indexed citations
7.
Chen, Wenbin, et al.. (2024). Reliability modelling and assessment of CMOS image sensor under radiation environment. Chinese Journal of Aeronautics. 37(9). 297–311. 3 indexed citations
8.
Kang, Rui, Chao Zhang, Jianhui Deng, et al.. (2024). Deadline-constrained multi-commodity flow routing and scheduling optimization with consideration of edge lengths and capacities. Computers & Industrial Engineering. 192. 110193–110193.
9.
Kang, Rui, et al.. (2024). Uncertain process-based data integration and residual lifetime evaluation of PCB in airborne equipment with ADT and field data. Chinese Journal of Aeronautics. 37(8). 233–245. 1 indexed citations
10.
Liu, Zhe, Shihai Wang, Bin Liu, & Rui Kang. (2024). Optimal Release Policy for Software with Epistemic Uncertainty. 17(3). 1 indexed citations
11.
Sun, Zhigang, et al.. (2024). Overlapping Signal Recognition Method for Sealed Relays Based on Machine Learning and Confidence Probability. IEEE Transactions on Industrial Informatics. 20(12). 14226–14238. 2 indexed citations
12.
Li, Shuyu, et al.. (2024). A condition‐based maintenance optimization method with oscillating uncertain degradation process. Quality and Reliability Engineering International. 41(1). 1–29.
13.
Li, Xiaoyang, et al.. (2023). Uncertain random accelerated degradation modelling and statistical analysis with aleatory and epistemic uncertainties from multiple dimensions. Reliability Engineering & System Safety. 243. 109906–109906. 7 indexed citations
14.
Yang, Fan, et al.. (2023). A new active learning method for reliability analysis based on local optimization and adaptive parallelization strategy. Probabilistic Engineering Mechanics. 75. 103572–103572. 6 indexed citations
15.
Chen, Yunxia, et al.. (2019). Adhesion-fatigue dual mode wear model for fractal surfaces in AISI 1045 cylinder-plane contact pairs. Wear. 430-431. 327–339. 16 indexed citations
16.
Zeng, Zhiguo, et al.. (2018). A Sequential Bayesian Approach for Remaining Useful Life Prediction of Dependent Competing Failure Processes. IEEE Transactions on Reliability. 68(1). 317–329. 33 indexed citations
17.
Li, Xiaoyang, et al.. (2018). Modeling Accelerated Degradation Data Based on the Uncertain Process. IEEE Transactions on Fuzzy Systems. 27(8). 1532–1542. 59 indexed citations
18.
Chen, Ying, et al.. (2012). Status of FMECA research and engineering application. 1–9. 15 indexed citations
19.
Yi, Wei, et al.. (2008). Calculation method for military aircraft’s turnaround time. Beijing Hangkong Hangtian Daxue xuebao. 34(12). 1415. 3 indexed citations
20.
Kang, Rui. (2006). Maintenance Support Modeling and Simulating Technology for Missile Weapon System. Acta Armamentarii. 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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