Ronghu Chi

4.5k total citations · 1 hit paper
196 papers, 3.3k citations indexed

About

Ronghu Chi is a scholar working on Control and Systems Engineering, Mechanical Engineering and Computer Networks and Communications. According to data from OpenAlex, Ronghu Chi has authored 196 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 192 papers in Control and Systems Engineering, 54 papers in Mechanical Engineering and 20 papers in Computer Networks and Communications. Recurrent topics in Ronghu Chi's work include Iterative Learning Control Systems (157 papers), Advanced Control Systems Optimization (68 papers) and Adaptive Control of Nonlinear Systems (35 papers). Ronghu Chi is often cited by papers focused on Iterative Learning Control Systems (157 papers), Advanced Control Systems Optimization (68 papers) and Adaptive Control of Nonlinear Systems (35 papers). Ronghu Chi collaborates with scholars based in China, Canada and Singapore. Ronghu Chi's co-authors include Zhongsheng Hou, Biao Huang, Shangtai Jin, Huijun Gao, Hui Yu, Na Lin, Jian‐Xin Xu, Danwei Wang, Xuhui Bu and Ruikun Zhang and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Industrial Electronics and Automatica.

In The Last Decade

Ronghu Chi

175 papers receiving 3.3k citations

Hit Papers

An Overview of Dynamic-Linearization-Based Data-Driven Co... 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
Ronghu Chi China 31 2.9k 912 388 302 243 196 3.3k
Dong Shen China 32 2.9k 1.0× 811 0.9× 504 1.3× 260 0.9× 478 2.0× 216 3.5k
Shangtai Jin China 25 2.7k 0.9× 643 0.7× 369 1.0× 177 0.6× 331 1.4× 114 3.2k
Xuhui Bu China 32 2.5k 0.9× 444 0.5× 812 2.1× 118 0.4× 320 1.3× 147 3.0k
Mingxuan Sun China 23 2.0k 0.7× 690 0.8× 181 0.5× 288 1.0× 229 0.9× 140 2.3k
Arun Kumar Samantaray India 28 1.5k 0.5× 1.1k 1.2× 205 0.5× 257 0.9× 268 1.1× 112 2.5k
Wenxiang Deng China 24 2.4k 0.8× 1.8k 2.0× 126 0.3× 187 0.6× 215 0.9× 84 3.1k
Xing Wu China 21 1.4k 0.5× 951 1.0× 176 0.5× 155 0.5× 237 1.0× 100 2.2k
Xingjian Wang China 26 1.1k 0.4× 951 1.0× 266 0.7× 256 0.8× 168 0.7× 137 2.1k
Tengfei Liu China 29 1.9k 0.7× 557 0.6× 1.1k 2.9× 149 0.5× 211 0.9× 130 3.0k
Goele Pipeleers Belgium 23 1.6k 0.5× 476 0.5× 220 0.6× 266 0.9× 104 0.4× 146 2.0k

Countries citing papers authored by Ronghu Chi

Since Specialization
Citations

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

Fields of papers citing papers by Ronghu Chi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ronghu Chi

This figure shows the co-authorship network connecting the top 25 collaborators of Ronghu Chi. A scholar is included among the top collaborators of Ronghu Chi 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 Ronghu Chi. Ronghu Chi 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, Mingming & Ronghu Chi. (2025). Latent model-free adaptive control of nonlinear multivariable processes via virtual dynamic data modeling. Applied Mathematical Modelling. 142. 115977–115977. 1 indexed citations
2.
Chi, Ronghu, et al.. (2025). Compensatory Data-Driven Networked Iterative Learning Control With Communication Constraints and DoS Attacks. IEEE Transactions on Automation Science and Engineering. 22. 10728–10740. 1 indexed citations
3.
Lin, Mingming, et al.. (2024). Data driven latent variable adaptive control for nonlinear multivariable processes. International Journal of Systems Science. 56(1). 108–125. 2 indexed citations
4.
Lin, Na, Ronghu Chi, & Biao Huang. (2024). Double-Layered Iterative Learning Control for Nonlinear Systems. IEEE Transactions on Systems Man and Cybernetics Systems. 54(10). 6033–6042.
6.
Chi, Ronghu, et al.. (2024). Data-Driven Iterative Learning Temperature Control for Rubber Mixing Processes. IEEE Transactions on Automation Science and Engineering. 22. 10274–10286. 2 indexed citations
7.
Liu, Yang, et al.. (2024). Adaptive Observer-Based Finite-Time Fault Tolerant Control for Non-Strict Feedback Systems. Journal of Systems Science and Complexity. 37(4). 1526–1544. 2 indexed citations
8.
Yao, Wenlong, et al.. (2024). Presynchronization control for ship microgrid of merchant marine inverters based on VSG algorithm with MFAC. Transactions of the Institute of Measurement and Control. 46(10). 1858–1870. 2 indexed citations
9.
Chi, Ronghu, et al.. (2024). Data-Driven Dynamic Internal Model Control. IEEE Transactions on Cybernetics. 54(9). 5347–5359. 3 indexed citations
10.
Yu, Hui, Deyuan Meng, Ronghu Chi, & Kaiquan Cai. (2024). Sampled-Data Adaptive Iterative Learning Control for Uncertain Nonlinear Systems. IEEE Transactions on Systems Man and Cybernetics Systems. 54(8). 4568–4578. 4 indexed citations
11.
Chi, Ronghu, Na Lin, Biao Huang, & Zhongsheng Hou. (2024). Performance-oriented design and analysis for direct data-driven control of multi-agent systems. Information Sciences. 666. 120419–120419. 2 indexed citations
12.
Lin, Na, Ronghu Chi, Yang Liu, Zhongsheng Hou, & Biao Huang. (2023). Data‐driven set‐point tuning of model‐free adaptive control. International Journal of Robust and Nonlinear Control. 33(13). 7667–7686. 7 indexed citations
13.
Chi, Ronghu, et al.. (2023). Data-Driven Internal Model Learning Control for Nonlinear Systems. IEEE Transactions on Neural Networks and Learning Systems. 36(1). 718–728. 1 indexed citations
14.
Liu, Yang, Ronghu Chi, Hongyi Li, Lijie Wang, & Na Lin. (2023). HiTL-based adaptive fuzzy tracking control of MASs: A distributed fixed-time strategy. Science China Technological Sciences. 66(10). 2907–2916. 53 indexed citations
15.
Chi, Ronghu, et al.. (2022). Predictive compensation based quantization iterative learning control for nonlinear nonaffine discrete‐time systems. International Journal of Robust and Nonlinear Control. 33(7). 4028–4055. 4 indexed citations
16.
17.
Yu, Hui, et al.. (2020). Nonholonomic dynamic linearisation based adaptive PID-type ILC for nonlinear systems with iteration-varying uncertainties. International Journal of Systems Science. 51(5). 903–921. 3 indexed citations
18.
Chi, Ronghu, et al.. (2012). A discrete-time adaptive iterative learning from different reference trajectory for linear time-varying systems. Chinese Control Conference. 3013–3016. 3 indexed citations
19.
Chi, Ronghu, Zhongsheng Hou, Shangtai Jin, & Danwei Wang. (2012). Adaptive ILC for a class of nonlinear discrete-time systems without matching conditions on initial state and reference trajectory. Chinese Control Conference. 3009–3012. 2 indexed citations
20.
Chi, Ronghu, Yongbo Zhang, Shangtai Jin, & Zhongsheng Hou. (2011). A discrete-time periodic adaptive control for systems in the presence of nonsector nonlinearities. Chinese Control Conference. 2419–2422. 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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