Bei Sun

1.7k total citations
105 papers, 1.2k citations indexed

About

Bei Sun is a scholar working on Control and Systems Engineering, Mechanical Engineering and Artificial Intelligence. According to data from OpenAlex, Bei Sun has authored 105 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Control and Systems Engineering, 39 papers in Mechanical Engineering and 16 papers in Artificial Intelligence. Recurrent topics in Bei Sun's work include Fault Detection and Control Systems (45 papers), Advanced Control Systems Optimization (28 papers) and Mineral Processing and Grinding (27 papers). Bei Sun is often cited by papers focused on Fault Detection and Control Systems (45 papers), Advanced Control Systems Optimization (28 papers) and Mineral Processing and Grinding (27 papers). Bei Sun collaborates with scholars based in China, United Kingdom and Finland. Bei Sun's co-authors include Chunhua Yang, Yonggang Li, Chunhua Yang, Weihua Gui, Hongqiu Zhu, Yalin Wang, Keke Huang, Weihua Gui, I.K. Craig and Laurentz E. Olivier and has published in prestigious journals such as Acta Materialia, International Journal of Hydrogen Energy and Optics Express.

In The Last Decade

Bei Sun

89 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bei Sun China 20 548 380 221 181 136 105 1.2k
Dakuo He China 19 466 0.9× 308 0.8× 177 0.8× 227 1.3× 99 0.7× 113 1.0k
Mahmud Iwan Solihin Malaysia 13 447 0.8× 146 0.4× 131 0.6× 140 0.8× 102 0.8× 81 892
Zhizhong Mao China 20 1.0k 1.9× 378 1.0× 353 1.6× 208 1.1× 89 0.7× 125 1.6k
Ning Chen China 16 434 0.8× 217 0.6× 198 0.9× 165 0.9× 67 0.5× 125 1.1k
Yong Lv China 24 1.5k 2.7× 950 2.5× 170 0.8× 151 0.8× 98 0.7× 139 2.2k
Farzad Hashemzadeh Iran 18 851 1.6× 505 1.3× 106 0.5× 160 0.9× 208 1.5× 92 1.5k
Dingli Yu United Kingdom 22 1.1k 2.0× 305 0.8× 175 0.8× 372 2.1× 93 0.7× 141 1.7k
Shao Hui-he China 18 951 1.7× 195 0.5× 158 0.7× 246 1.4× 64 0.5× 105 1.4k
Qiang Liu China 22 851 1.6× 620 1.6× 141 0.6× 328 1.8× 65 0.5× 134 1.7k
Yuri A.W. Shardt Germany 21 1.3k 2.4× 563 1.5× 107 0.5× 365 2.0× 57 0.4× 89 1.7k

Countries citing papers authored by Bei Sun

Since Specialization
Citations

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

Fields of papers citing papers by Bei Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bei Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Bei Sun. A scholar is included among the top collaborators of Bei Sun 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 Bei Sun. Bei Sun 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.
Sun, Bei, Yang Liu, Rui Sun, et al.. (2025). Tethering pH-Induced structural modifications of ovomucin to stabilize W1/O/W2 double emulsions for enhanced protection of Companilactobacillus crustorum MN047. Food Hydrocolloids. 163. 111060–111060. 3 indexed citations
2.
Li, Yonggang, et al.. (2025). Distributed Intelligent Control Method Based on State Self-Learning and Its Application in Cascade Processes. IEEE Transactions on Automation Science and Engineering. 22. 10533–10545.
3.
Wang, Yalin, et al.. (2025). Attribution-Aided Nonlinear Granger Causality Discovery Method and Its Industrial Application. IEEE Transactions on Industrial Informatics. 21(8). 6147–6157. 2 indexed citations
4.
Li, Yonggang, et al.. (2025). A Hierarchical Stochastic Network Approach for Fault Diagnosis of Complex Industrial Processes. IEEE/CAA Journal of Automatica Sinica. 12(8). 1683–1701. 1 indexed citations
5.
Yang, Chunhua, et al.. (2025). A Reinforcement Learning Control Method for Process Industry Based on Implicit and Explicit Knowledge Extraction and Embedding. IEEE Transactions on Systems Man and Cybernetics Systems. 55(8). 5152–5165.
6.
Li, Yonggang, et al.. (2024). Estimation of feeding composition content based on novel variable sliding window method and layered data reconciliation with multiple modes. Chemometrics and Intelligent Laboratory Systems. 248. 105105–105105. 2 indexed citations
7.
Zhang, Xulong, et al.. (2024). A dynamic correction method for the optimal value settings of the solution purification process at multiple time scales. Control Engineering Practice. 150. 106003–106003. 1 indexed citations
8.
9.
Xie, Junyao, et al.. (2024). Roasting temperature distribution control using multi-agent reinforcement learning. IFAC-PapersOnLine. 58(22). 77–82. 1 indexed citations
10.
Xie, Junyao, et al.. (2024). A novel sim2real reinforcement learning algorithm for process control. Reliability Engineering & System Safety. 254. 110639–110639. 4 indexed citations
11.
Sun, Bei, et al.. (2024). A Novel Chattering-Free Discrete Sliding Mode Controller With Disturbance Compensation for Zinc Roasting Temperature Distribution Control. IEEE Transactions on Automation Science and Engineering. 22. 5627–5636. 2 indexed citations
12.
Li, Yonggang, et al.. (2024). Temperature Co-Optimization of Zinc Roasting Process Based on Fuzzy Synthetic Evaluation and Temperature Adjustable Margin. IEEE Transactions on Fuzzy Systems. 32(5). 2577–2589.
13.
Yang, Chunhua, et al.. (2024). Variable-Period Estimation of Process Industry Indicators Using Working Condition Semantic Representation and Mechanism-Guided Network Groups. IEEE Transactions on Industrial Informatics. 20(8). 10167–10177. 1 indexed citations
14.
Yang, Chunhua, et al.. (2023). Knowledge-Data-Based Synchronization States Analysis for Process Monitoring and Its Application to Hydrometallurgical Zinc Purification Process. IEEE Transactions on Industrial Informatics. 20(1). 546–559. 4 indexed citations
15.
Li, Yonggang, et al.. (2021). Rotating consensus for double-integrator multi-agent systems with communication delay. ISA Transactions. 128(Pt B). 207–216. 6 indexed citations
16.
Li, Yonggang, et al.. (2021). Mixed kernel principal component weighted regression based on just-in-time learning for soft sensor modeling. Measurement Science and Technology. 33(1). 15102–15102. 21 indexed citations
17.
Wang, Yalin, et al.. (2020). An Efficient Computational Cost Reduction Strategy for the Population-Based Intelligent Optimization of Nonlinear Dynamical Systems. IEEE Transactions on Industrial Informatics. 17(10). 6624–6633. 3 indexed citations
18.
He, Mingfang & Bei Sun. (2019). On-Line Froth Depth Estimation for Sulphur Flotation Process With Multiple Working Conditions. IEEE Access. 7. 124774–124784. 6 indexed citations
19.
Yang, Chunhua, et al.. (2019). Model-based experimental design for nonlinear dynamical systems with unknown state delay and continuous state inequalities. Process Safety and Environmental Protection. 153. 635–656. 2 indexed citations
20.
Li, Yonggang, et al.. (2019). Optimizing zinc electrowinning processes with current switching via Deep Deterministic Policy Gradient learning. Neurocomputing. 380. 190–200. 35 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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