Yundi Chu

809 total citations · 1 hit paper
20 papers, 682 citations indexed

About

Yundi Chu is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Yundi Chu has authored 20 papers receiving a total of 682 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Control and Systems Engineering, 9 papers in Electrical and Electronic Engineering and 4 papers in Artificial Intelligence. Recurrent topics in Yundi Chu's work include Adaptive Control of Nonlinear Systems (10 papers), Microgrid Control and Optimization (7 papers) and Power Quality and Harmonics (6 papers). Yundi Chu is often cited by papers focused on Adaptive Control of Nonlinear Systems (10 papers), Microgrid Control and Optimization (7 papers) and Power Quality and Harmonics (6 papers). Yundi Chu collaborates with scholars based in China. Yundi Chu's co-authors include Juntao Fei, Shixi Hou, Yunmei Fang, Chen Chen and Ming Yang and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Power Electronics and IEEE Access.

In The Last Decade

Yundi Chu

19 papers receiving 667 citations

Hit Papers

Adaptive Global Sliding-Mode Control for Dynamic Systems ... 2019 2026 2021 2023 2019 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yundi Chu China 11 467 281 110 70 61 20 682
Yunmei Fang China 15 638 1.4× 331 1.2× 115 1.0× 112 1.6× 115 1.9× 43 925
Shixi Hou China 17 709 1.5× 478 1.7× 152 1.4× 81 1.2× 62 1.0× 49 1.0k
Shubhi Purwar India 17 778 1.7× 484 1.7× 86 0.8× 40 0.6× 80 1.3× 88 966
Johann Reger Germany 15 550 1.2× 248 0.9× 66 0.6× 108 1.5× 49 0.8× 132 856
Hassan Yousef Egypt 18 901 1.9× 730 2.6× 199 1.8× 77 1.1× 38 0.6× 97 1.3k
Lin Pan China 14 336 0.7× 183 0.7× 61 0.6× 92 1.3× 91 1.5× 41 748
Mohamed Harmouche France 10 733 1.6× 205 0.7× 36 0.3× 128 1.8× 106 1.7× 19 886
Sheng Zhang China 22 165 0.4× 126 0.4× 140 1.3× 68 1.0× 42 0.7× 110 1.4k
Hugues Rafaralahy France 15 533 1.1× 105 0.4× 135 1.2× 41 0.6× 150 2.5× 39 912
Wang Yao-nan China 11 261 0.6× 129 0.5× 110 1.0× 78 1.1× 45 0.7× 104 530

Countries citing papers authored by Yundi Chu

Since Specialization
Citations

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

Fields of papers citing papers by Yundi Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yundi Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Yundi Chu. A scholar is included among the top collaborators of Yundi 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 Yundi Chu. Yundi 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.
Hou, Shixi, et al.. (2024). Robust adaptive learning control using spiking-based self-organizing emotional neural network for a class of nonlinear systems with uncertainties. Engineering Applications of Artificial Intelligence. 136. 109039–109039. 7 indexed citations
2.
Chu, Yundi, et al.. (2024). Self-organizing feature selection fuzzy neural network-based terminal sliding mode control for uncertain nonlinear systems. ISA Transactions. 154. 171–185. 1 indexed citations
3.
Hou, Shixi, et al.. (2023). Bearing fault diagnosis method using the joint feature extraction of Transformer and ResNet. Measurement Science and Technology. 34(7). 75108–75108. 38 indexed citations
4.
Hou, Shixi, Yundi Chu, & Juntao Fei. (2021). Robust Intelligent Control for a Class of Power-Electronic Converters Using Neuro-Fuzzy Learning Mechanism. IEEE Transactions on Power Electronics. 36(8). 9441–9452. 29 indexed citations
5.
Hou, Shixi, Yundi Chu, & Juntao Fei. (2021). Adaptive Type-2 Fuzzy Neural Network Inherited Terminal Sliding Mode Control for Power Quality Improvement. IEEE Transactions on Industrial Informatics. 17(11). 7564–7574. 53 indexed citations
6.
Chu, Yundi, et al.. (2021). Modified Recurrent Fuzzy Neural Network Sliding Mode Control for Nonlinear Systems. 2021 21st International Conference on Control, Automation and Systems (ICCAS). 560–565. 1 indexed citations
7.
Hou, Shixi, Yundi Chu, & Juntao Fei. (2020). Intelligent Global Sliding Mode Control Using Recurrent Feature Selection Neural Network for Active Power Filter. IEEE Transactions on Industrial Electronics. 68(8). 7320–7329. 57 indexed citations
8.
Fei, Juntao & Yundi Chu. (2019). Double Hidden Layer Output Feedback Neural Adaptive Global Sliding Mode Control of Active Power Filter. IEEE Transactions on Power Electronics. 35(3). 3069–3084. 94 indexed citations
9.
Chu, Yundi, et al.. (2019). Adaptive Neural Backstepping PID Global Sliding Mode Fuzzy Control of MEMS Gyroscope. IEEE Access. 7. 37918–37926. 24 indexed citations
10.
Chu, Yundi, Juntao Fei, & Shixi Hou. (2019). Adaptive Global Sliding-Mode Control for Dynamic Systems Using Double Hidden Layer Recurrent Neural Network Structure. IEEE Transactions on Neural Networks and Learning Systems. 31(4). 1297–1309. 228 indexed citations breakdown →
11.
Hou, Shixi, Juntao Fei, Yundi Chu, & Chen Chen. (2019). Indirect Adaptive Fuzzy Control for Active Power Filter Using Global Sliding Mode Control. 599–604. 2 indexed citations
12.
Hou, Shixi, Juntao Fei, & Yundi Chu. (2018). A modified adaptive fuzzy control of three-phase active power filter for harmonic compensation. 20. 6210–6215. 1 indexed citations
13.
Chu, Yundi, Juntao Fei, & Shixi Hou. (2017). Dynamic global proportional integral derivative sliding mode control using radial basis function neural compensator for three-phase active power filter. Transactions of the Institute of Measurement and Control. 40(12). 3549–3559. 73 indexed citations
14.
Fei, Juntao, Yundi Chu, & Shixi Hou. (2017). A Backstepping Neural Global Sliding Mode Control Using Fuzzy Approximator for Three-Phase Active Power Filter. IEEE Access. 5. 16021–16032. 19 indexed citations
15.
Chu, Yundi & Juntao Fei. (2017). Dynamic global PID sliding control using neural compensator for active power filter. 1513–1517. 3 indexed citations
16.
Chu, Yundi & Juntao Fei. (2016). Adaptive backstepping global sliding fuzzy neural controller for MEMS gyroscope. 42 6. 813–818. 4 indexed citations
17.
Chu, Yundi, Yunmei Fang, & Juntao Fei. (2016). Adaptive neural dynamic global PID sliding mode control for MEMS gyroscope. International Journal of Machine Learning and Cybernetics. 8(5). 1707–1718. 22 indexed citations
18.
Fei, Juntao & Yundi Chu. (2016). Dynamic Global PID Sliding Mode Control for MEMS Gyroscope Using Adaptive Neural Controller. 16–21. 4 indexed citations
19.
Chu, Yundi & Juntao Fei. (2015). Adaptive Global Sliding Mode Control for MEMS Gyroscope Using RBF Neural Network. Mathematical Problems in Engineering. 2015. 1–9. 18 indexed citations
20.
Chu, Yundi & Juntao Fei. (2014). Global sliding mode control of MEMS gyroscope based on neural network. 2009. 575–580. 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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