Shubin Si

4.5k total citations · 1 hit paper
181 papers, 3.5k citations indexed

About

Shubin Si is a scholar working on Safety, Risk, Reliability and Quality, Statistics, Probability and Uncertainty and Software. According to data from OpenAlex, Shubin Si has authored 181 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Safety, Risk, Reliability and Quality, 48 papers in Statistics, Probability and Uncertainty and 37 papers in Software. Recurrent topics in Shubin Si's work include Reliability and Maintenance Optimization (64 papers), Software Reliability and Analysis Research (37 papers) and Risk and Safety Analysis (30 papers). Shubin Si is often cited by papers focused on Reliability and Maintenance Optimization (64 papers), Software Reliability and Analysis Research (37 papers) and Risk and Safety Analysis (30 papers). Shubin Si collaborates with scholars based in China, United States and Finland. Shubin Si's co-authors include Zhiqiang Cai, Shudong Sun, Yongbo Li, Xianzhi Wang, Hongyan Dui, Yingfeng Zhang, Yang Liu, Shan Ren, Lirong Cui and Richard C.M. Yam and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Journal of Cleaner Production.

In The Last Decade

Shubin Si

168 papers receiving 3.4k citations

Hit Papers

A big data analytics architecture for cleaner manufacturi... 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shubin Si China 31 1.2k 863 834 542 437 181 3.5k
Mohammad Modarres United States 38 881 0.7× 1.3k 1.5× 1.4k 1.7× 490 0.9× 957 2.2× 264 5.5k
Nan Chen China 35 1.7k 1.4× 1.8k 2.1× 878 1.1× 307 0.6× 1.0k 2.3× 140 5.0k
Thomas A. Mazzuchi United States 29 722 0.6× 369 0.4× 663 0.8× 226 0.4× 202 0.5× 233 3.2k
Zhi‐Sheng Ye Singapore 38 3.9k 3.2× 1.2k 1.4× 1.8k 2.2× 187 0.3× 463 1.1× 148 5.6k
Jianchao Zeng China 32 646 0.5× 742 0.9× 189 0.2× 168 0.3× 190 0.4× 327 3.8k
D. N. Prabhakar Murthy Australia 49 4.2k 3.5× 446 0.5× 2.3k 2.7× 465 0.9× 209 0.5× 191 6.7k
Michael C. Fu United States 41 333 0.3× 727 0.8× 595 0.7× 1.4k 2.6× 105 0.2× 263 6.5k
James D. McCalley United States 44 2.3k 1.9× 2.6k 3.0× 312 0.4× 195 0.4× 194 0.4× 219 7.2k
Michael Roemer United States 26 428 0.4× 1.5k 1.7× 325 0.4× 122 0.2× 402 0.9× 113 2.7k
Wen Jiang China 42 221 0.2× 906 1.0× 609 0.7× 89 0.2× 139 0.3× 181 5.1k

Countries citing papers authored by Shubin Si

Since Specialization
Citations

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

Fields of papers citing papers by Shubin Si

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shubin Si

This figure shows the co-authorship network connecting the top 25 collaborators of Shubin Si. A scholar is included among the top collaborators of Shubin 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 Shubin Si. Shubin 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.
Lin, Jianhong, et al.. (2025). Evolutionary analysis of a coupled epidemic‐voluntary vaccination behavior model with immunity waning on complex networks. Risk Analysis. 45(7). 1879–1898. 1 indexed citations
2.
Qiu, Yuan, Xiaolei Sun, Xiong Xiong, & Shubin Si. (2025). Systemic financial risk analysis of the U.S. based on the complex network. Journal of Management Science and Engineering. 10(3). 414–433.
3.
Liu, Jun, et al.. (2025). Hamiltonian optimal control of quarantine against epidemic spreading on complex networks. Chaos Solitons & Fractals. 194. 116240–116240. 1 indexed citations
4.
Liu, Mingli, et al.. (2024). A novel importance measure considering multi-constraints for RAP optimization of 1-out-of-n subsystems with mixed redundancy strategy. Reliability Engineering & System Safety. 252. 110441–110441. 5 indexed citations
5.
Ye, Zhang, et al.. (2024). Activity centrality-based critical node identification in complex systems against cascade failure. Physica A Statistical Mechanics and its Applications. 654. 130121–130121.
6.
Wang, Yuting, et al.. (2024). Multi-objective performance optimization of turbofan engine for test run. Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University. 42(5). 847–856. 1 indexed citations
7.
Cai, Zhiqiang, et al.. (2024). Time series importance measure-based reliability optimization for cellular manufacturing systems. Reliability Engineering & System Safety. 244. 109929–109929. 7 indexed citations
8.
Cai, Zhiqiang, et al.. (2023). Joint optimization of maintenance and quality inspection for manufacturing networks based on deep reinforcement learning. Reliability Engineering & System Safety. 236. 109290–109290. 20 indexed citations
9.
Liu, Mingli, et al.. (2023). Mixed reliability importance-based solving algorithm design for the cost-constrained reliability optimization model. Reliability Engineering & System Safety. 237. 109363–109363. 8 indexed citations
10.
Dou, Runliang, et al.. (2023). Transforming digital value chain ecosystems for dual-carbon target: An exploration of the BDS-RAS framework. Computers & Industrial Engineering. 188. 109861–109861. 5 indexed citations
11.
Noman, Khandaker, Yongbo Li, Shubin Si, Shun Wang, & Gang Mao. (2022). Oscillatory Lempel–Ziv Complexity Calculation as a Nonlinear Measure for Continuous Monitoring of Bearing Health. IEEE Transactions on Reliability. 72(1). 151–165. 14 indexed citations
12.
Li, Yongbo, et al.. (2019). Review of local mean decomposition and its application in fault diagnosis of rotating machinery. Journal of Systems Engineering and Electronics. 30(4). 799–799. 54 indexed citations
13.
Li, Yongbo, Xianzhi Wang, Zhenbao Liu, Xihui Liang, & Shubin Si. (2018). The Entropy Algorithm and Its Variants in the Fault Diagnosis of Rotating Machinery: A Review. IEEE Access. 6. 66723–66741. 242 indexed citations
14.
Wang, Jun-Bo, Jin‐Yuan Wang, Xibin Zhao, et al.. (2013). Reliability analysis for a data flow in event-driven wireless sensor networks using a multiple sending transmission approach. EURASIP Journal on Wireless Communications and Networking. 2013(1). 5 indexed citations
15.
Cai, Zhiqiang, et al.. (2013). Modeling of failure prediction Bayesian network based on FMECA. Systems Engineering - Theory & Practice. 33(1). 187–193. 4 indexed citations
16.
Si, Shubin. (2011). The Integrated Modeling Method for the Maintenance BOM of Complex Equipments. 2 indexed citations
17.
Si, Shubin. (2010). The Modeling of Failure Diagnosis Bayesian Networks Based on FMECA Knowledge. 1 indexed citations
18.
Si, Shubin. (2009). Modeling of Supplier Assessment and Selection Based on AHP. 2 indexed citations
19.
Si, Shubin. (2009). Distributed collaboration production planning model for aircraft manufacturing enterprises. Jisuanji yingyong yanjiu. 1 indexed citations
20.
Si, Shubin. (2005). Research on Modeling of Complex System Based on Graph Theory. Mechanical Science and Technology. 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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