Fei Chu

1.1k total citations
83 papers, 802 citations indexed

About

Fei Chu is a scholar working on Control and Systems Engineering, Mechanical Engineering and Artificial Intelligence. According to data from OpenAlex, Fei Chu has authored 83 papers receiving a total of 802 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Control and Systems Engineering, 31 papers in Mechanical Engineering and 16 papers in Artificial Intelligence. Recurrent topics in Fei Chu's work include Fault Detection and Control Systems (33 papers), Mineral Processing and Grinding (21 papers) and Advanced Control Systems Optimization (16 papers). Fei Chu is often cited by papers focused on Fault Detection and Control Systems (33 papers), Mineral Processing and Grinding (21 papers) and Advanced Control Systems Optimization (16 papers). Fei Chu collaborates with scholars based in China, United States and United Kingdom. Fei Chu's co-authors include Fuli Wang, Xiaoping Ma, Xuesong Wang, Tao Liang, Wei Wang, Shuning Zhang, C. L. Philip Chen, Mingxing Jia, Runda Jia and W. D. Pilkey and has published in prestigious journals such as Chemical Engineering Journal, International Journal of Hydrogen Energy and IEEE Access.

In The Last Decade

Fei Chu

71 papers receiving 778 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fei Chu China 15 408 264 208 68 57 83 802
Chao Tan China 16 203 0.5× 291 1.1× 115 0.6× 16 0.2× 131 2.3× 61 708
Xiaofeng Liu China 17 432 1.1× 378 1.4× 63 0.3× 20 0.3× 36 0.6× 86 870
Farid Sheikholeslam Iran 21 950 2.3× 155 0.6× 224 1.1× 4 0.1× 62 1.1× 108 1.4k
Yitao Liang China 9 435 1.1× 275 1.0× 143 0.7× 38 0.6× 69 1.2× 50 717
Dejie Yu China 13 1.3k 3.1× 894 3.4× 72 0.3× 46 0.7× 42 0.7× 17 1.5k
Jianzhong Zhou China 15 1.0k 2.5× 674 2.6× 125 0.6× 32 0.5× 42 0.7× 28 1.3k

Countries citing papers authored by Fei Chu

Since Specialization
Citations

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

Fields of papers citing papers by Fei Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fei Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Fei Chu. A scholar is included among the top collaborators of Fei Chu 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 Fei Chu. Fei Chu 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.
Bi, Jiapeng, Panpan Zhou, Qianwen Zhou, et al.. (2025). Non-metallic surface reconstruction strategy enhances poisoning tolerance of ZrCo-based hydrogen storage alloys. Renewable Energy. 256. 124226–124226. 2 indexed citations
2.
Liu, Wenshuai, Siyu Liu, Shiyu Tan, et al.. (2025). Integrated bioprinting of trachea-like structures based on tissue-specific bioink. Materials Today Bio. 34. 102105–102105.
3.
Zhang, Ruicong, Fei Chu, Yihong Qiu, Dakuo He, & Fuli Wang. (2025). Trend-Aware Patch Feature Fusion Transformer for Fault Diagnosis of Vibration Signals. IEEE Sensors Journal. 25(13). 24663–24674.
4.
Wang, Qing, Huijun Li, Zhang Yon, et al.. (2025). Surrogate-assisted evolutionary algorithm with adaptive local region search for high-dimensional expensive multi-objective optimization problems. Swarm and Evolutionary Computation. 100. 102232–102232.
5.
Jia, Litao, Siyu Liu, Luosha Gu, et al.. (2025). Integrated biomimetic bioprinting of perichondrium with cartilage for auricle reconstruction. Bioactive Materials. 48. 100–117. 2 indexed citations
6.
Chu, Fei, et al.. (2024). Efficient and effective ensemble broad learning system based on structural diversity. Applied Soft Computing. 167. 112412–112412.
7.
Zhao, Yan, Chun-Chun Wang, Fei Chu, et al.. (2024). RFEM: A framework for essential microRNA identification in mice based on rotation forest and multiple feature fusion. Computers in Biology and Medicine. 171. 108177–108177. 9 indexed citations
8.
Wang, Jiaxin, Panpan Zhou, Yuxiao Jia, et al.. (2024). Binding energy crossover mechanism enables low-temperature hydrogen storage performance of dual-phase TiZrCrMnNi(VFe) high-entropy alloy. Chemical Engineering Journal. 502. 157871–157871. 14 indexed citations
9.
Liu, Yang, Xuezhang Xiao, Fei Chu, et al.. (2024). An alloying element screening method to design Zr2Co based alloys with superior disproportionation resistance. Chemical Engineering Journal. 500. 157085–157085.
10.
Jia, Runda, et al.. (2024). Offline constrained reinforcement learning for batch-to-batch optimization of cobalt oxalate synthesis process. Process Safety and Environmental Protection. 209. 334–345. 1 indexed citations
11.
Jia, Yuxiao, Xuezhang Xiao, Ziming Cao, et al.. (2024). Development of Ti–Zr–Mn–Cr-(V–Fe) based alloys for hydrogen feeding system in hydrogen metallurgy application. International Journal of Hydrogen Energy. 86. 1376–1385. 9 indexed citations
12.
Wang, Fuli, et al.. (2023). Operating performance assessment based on stacked performance‐relevant enhanced denoising auto‐encoder for industrial processes. The Canadian Journal of Chemical Engineering. 102(4). 1509–1521. 1 indexed citations
13.
Zhang, Shulei, Runda Jia, Dakuo He, & Fei Chu. (2023). A chance‐constrained tube‐based model predictive control for tracking linear systems using data‐driven uncertainty sets. International Journal of Robust and Nonlinear Control. 34(2). 969–995. 4 indexed citations
14.
Chu, Fei, et al.. (2023). Learning broad learning system with controllable sparsity through L0 regularization. Applied Soft Computing. 136. 110068–110068. 9 indexed citations
15.
Liu, Wei, Liyuan Han, Fei Chu, & Jian Hu. (2023). Dynamic and accurate monitoring method of precast cabin environment based on particle trace. IET conference proceedings.. 2023(15). 579–583. 1 indexed citations
16.
Wang, Jiayang, et al.. (2023). Improved Multi-Strategy Harris Hawks Optimization and Its Application in Engineering Problems. Mathematics. 11(6). 1525–1525. 7 indexed citations
17.
Zhang, Shulei, Runda Jia, Dakuo He, & Fei Chu. (2022). Data-Driven Robust Optimization Based on Principle Component Analysis and Cutting Plane Methods. Industrial & Engineering Chemistry Research. 61(5). 2167–2182. 11 indexed citations
18.
Jia, Runda, Zhizhong Mao, Dakuo He, & Fei Chu. (2019). Hierarchical batch-to-batch optimization of cobalt oxalate synthesis process based on data-driven model. Process Safety and Environmental Protection. 144. 185–197. 3 indexed citations
19.
Jia, Runda, et al.. (2019). Data-driven-based self-healing control of abnormal feeding conditions in thickening–dewatering process. Minerals Engineering. 146. 106141–106141. 16 indexed citations
20.
Prasad, K. S. Srinivasa, John Barkinge, Radhika Gudi, et al.. (2009). The p53-induced Siva-1 plays a significant role in cisplatin-mediated apoptosis. Journal of Carcinogenesis. 8(1). 2–2. 15 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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