Ming Chi

1.7k total citations · 1 hit paper
66 papers, 1.2k citations indexed

About

Ming Chi is a scholar working on Computer Networks and Communications, Control and Systems Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Ming Chi has authored 66 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Networks and Communications, 26 papers in Control and Systems Engineering and 15 papers in Electrical and Electronic Engineering. Recurrent topics in Ming Chi's work include Distributed Control Multi-Agent Systems (23 papers), Neural Networks Stability and Synchronization (21 papers) and Adaptive Control of Nonlinear Systems (9 papers). Ming Chi is often cited by papers focused on Distributed Control Multi-Agent Systems (23 papers), Neural Networks Stability and Synchronization (21 papers) and Adaptive Control of Nonlinear Systems (9 papers). Ming Chi collaborates with scholars based in China, United States and Canada. Ming Chi's co-authors include Zhi‐Hong Guan, Zhi‐Wei Liu, Bin Hu, Dingxin He, Huaicheng Yan, Guijun Ma, Yong Zhang, Xin‐Ming Cheng, Tao Han and Mengshen Chen and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Industrial Electronics and Automatica.

In The Last Decade

Ming Chi

57 papers receiving 1.2k citations

Hit Papers

Health status assessment and remaining useful life predic... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming Chi China 18 691 677 214 92 80 66 1.2k
Dawei Zhang China 15 643 0.9× 848 1.3× 92 0.4× 56 0.6× 117 1.5× 65 1.1k
Lei Zhou China 19 781 1.1× 1.0k 1.5× 120 0.6× 148 1.6× 51 0.6× 97 1.5k
Xinchun Jia China 16 836 1.2× 960 1.4× 160 0.7× 71 0.8× 182 2.3× 99 1.3k
Chao Ge China 19 814 1.2× 549 0.8× 190 0.9× 313 3.4× 220 2.8× 76 1.2k
Junqi Yang China 22 284 0.4× 789 1.2× 286 1.3× 175 1.9× 75 0.9× 117 1.4k
Alberto Speranzon Sweden 15 684 1.0× 346 0.5× 131 0.6× 34 0.4× 214 2.7× 49 1.0k
Renquan Lu China 23 1.2k 1.7× 1.4k 2.1× 239 1.1× 217 2.4× 244 3.0× 44 2.4k
Hongxu Zhang China 18 473 0.7× 542 0.8× 166 0.8× 53 0.6× 171 2.1× 44 1.0k
Fengzhong Li China 17 300 0.4× 618 0.9× 359 1.7× 31 0.3× 119 1.5× 57 1.2k
Mouquan Shen China 22 643 0.9× 1.0k 1.5× 206 1.0× 107 1.2× 153 1.9× 66 1.3k

Countries citing papers authored by Ming Chi

Since Specialization
Citations

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

Fields of papers citing papers by Ming Chi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Chi

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Chi. A scholar is included among the top collaborators of Ming 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 Ming Chi. Ming 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.
Cui, Kun, Ming Chi, Yong Zhao, & Zhi‐Wei Liu. (2025). Bilevel Optimization Framework for Multiregional Integrated Energy Systems Considering 6G Network Slicing and Battery Energy Storage Capacity Sharing. IEEE Open Journal of the Industrial Electronics Society. 6. 396–414. 1 indexed citations
2.
Chi, Ming, et al.. (2025). Interval Observer-Based Control of Takagi–Sugeno Fuzzy Systems With Uncertainties. IEEE Transactions on Fuzzy Systems. 33(7). 2136–2147.
4.
Chi, Ming, et al.. (2024). Dynamic Optimal Formation Control for Mobile Vehicles With Minimizing Communication Path Loss Under Topology Switching. IEEE Transactions on Intelligent Vehicles. 10(1). 573–583. 1 indexed citations
6.
Liu, Zhi‐Wei, et al.. (2023). Maximization of nonsubmodular functions under multiple constraints with applications. Automatica. 155. 111126–111126.
7.
Ding, Teng‐Fei, et al.. (2023). Practical Resource Allocation of Networked Euler-Lagrange Agents With Quantized-Data Interactions and Arbitrary Bounded Uncertainties. IEEE Transactions on Network Science and Engineering. 11(2). 1442–1453. 1 indexed citations
9.
Jiang, Xiaowei, Ming Chi, Xiangyong Chen, Huaicheng Yan, & Tingwen Huang. (2022). Tracking and Regulation Performance Limitations of Networked Control Systems Over Erasure Channel With Input Quantization. IEEE Transactions on Automatic Control. 67(9). 4862–4869. 25 indexed citations
10.
Jiang, Xiaowei, Ming Chi, Xiangyong Chen, Huaicheng Yan, & Tingwen Huang. (2021). Output Tracking Control Performance of Discrete Networked Systems Over Erasure Channel With Model Uncertainty. IEEE Transactions on Cybernetics. 52(9). 8818–8826. 17 indexed citations
11.
Chen, Mengshen, Huaicheng Yan, Hao Zhang, Ming Chi, & Zhichen Li. (2020). Dynamic Event-Triggered Asynchronous Control for Nonlinear Multiagent Systems Based on T–S Fuzzy Models. IEEE Transactions on Fuzzy Systems. 29(9). 2580–2592. 126 indexed citations
12.
Han, Tao, Zhi‐Hong Guan, Ming Chi, et al.. (2017). Multi-formation control of nonlinear leader-following multi-agent systems. ISA Transactions. 69. 140–147. 98 indexed citations
13.
Han, Tao, Zhi‐Hong Guan, Ruiquan Liao, et al.. (2017). Distributed finite‐time formation tracking control of multi‐agent systems via FTSMC approach. IET Control Theory and Applications. 11(15). 2585–2590. 40 indexed citations
14.
Bhagwat, Basdeo, et al.. (2016). Design, Construction, and Validation of Artificial MicroRNA Vectors Using Agrobacterium-Mediated Transient Expression System. Methods in molecular biology. 1405. 149–162. 6 indexed citations
15.
Zhou, Dandan, Zhi‐Hong Guan, Ruiquan Liao, et al.. (2016). Topology identification of a class of complex spatio‐temporal networks with time delay. IET Control Theory and Applications. 11(5). 611–618. 4 indexed citations
16.
Zhang, Meng, Yingying Zhang, Li Ju, et al.. (2015). Association between vitamin D deficiency and insufficiency and the risk of childhood asthma: evidence from a meta-analysis.. PubMed Central. 8(4). 5699–706. 18 indexed citations
17.
Chen, Jie, Junwei Sun, Ming Chi, & Xin‐Ming Cheng. (2014). A Novel Scheme Adaptive Hybrid Dislocated Synchronization for Two Identical and Different Memristor Chaotic Oscillator Systems with Uncertain Parameters. Abstract and Applied Analysis. 2014. 1–10. 6 indexed citations
18.
Bhagwat, Basdeo, Ming Chi, Su Li, et al.. (2013). An in vivo Transient Expression System Can Be Applied for Rapid and Effective Selection of Artificial MicroRNA Constructs for Plant Stable Genetic Transformation. Journal of genetics and genomics. 40(5). 261–270. 16 indexed citations
19.
Li, Zhengnan, Lei Zhang, Hongguang Liu, et al.. (2011). A disease associated with phytoplasma in Parthenium hysterophorus. Phytoparasitica. 39(4). 407–410. 8 indexed citations
20.
Chi, Ming. (1975). D. Fick編 : Polarization Nuclear Physics ; Proceeding of a Meeting, Ebermannstadt, 1973, Springer-Verlag, Berlin and Heidelberg, 1974, ix+292ページ, 24.5×16.5cm, 3,600円 (Lecture Notes in Physics, 30).. 日本物理學會誌. 30(8). 626. 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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