Thach Ngoc Dinh

1.6k total citations
64 papers, 950 citations indexed

About

Thach Ngoc Dinh is a scholar working on Control and Systems Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Thach Ngoc Dinh has authored 64 papers receiving a total of 950 indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Control and Systems Engineering, 13 papers in Computer Networks and Communications and 6 papers in Artificial Intelligence. Recurrent topics in Thach Ngoc Dinh's work include Stability and Control of Uncertain Systems (34 papers), Adaptive Control of Nonlinear Systems (31 papers) and Fault Detection and Control Systems (22 papers). Thach Ngoc Dinh is often cited by papers focused on Stability and Control of Uncertain Systems (34 papers), Adaptive Control of Nonlinear Systems (31 papers) and Fault Detection and Control Systems (22 papers). Thach Ngoc Dinh collaborates with scholars based in France, China and India. Thach Ngoc Dinh's co-authors include Frédéric Mazenc, Silviu‐Iulian Niculescu, Tarek Raïssi, Zhenhua Wang, Shyam Kamal, Michael Malisoff, Fanglai Zhu, Yuhang Fu, Mengjie Hu and Madiha Nadri and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and Automatica.

In The Last Decade

Thach Ngoc Dinh

57 papers receiving 936 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thach Ngoc Dinh France 17 801 220 116 64 59 64 950
Abdellah Benzaouia Morocco 21 1.1k 1.3× 264 1.2× 83 0.7× 51 0.8× 95 1.6× 64 1.1k
Ping Zhao China 15 706 0.9× 320 1.5× 54 0.5× 107 1.7× 150 2.5× 54 849
Ticao Jiao China 16 485 0.6× 227 1.0× 64 0.6× 72 1.1× 82 1.4× 62 652
Aneel Tanwani France 15 655 0.8× 138 0.6× 36 0.3× 36 0.6× 123 2.1× 58 782
Likui Wang China 13 727 0.9× 457 2.1× 226 1.9× 49 0.8× 98 1.7× 44 853
Zhaoxia Duan China 16 509 0.6× 234 1.1× 68 0.6× 41 0.6× 36 0.6× 50 596
Kui Ding China 14 300 0.4× 325 1.5× 75 0.6× 115 1.8× 52 0.9× 29 541
Márcio J. Lacerda Brazil 13 525 0.7× 120 0.5× 50 0.4× 41 0.6× 99 1.7× 70 613
Guangtao Ran China 15 509 0.6× 450 2.0× 124 1.1× 74 1.2× 61 1.0× 42 718

Countries citing papers authored by Thach Ngoc Dinh

Since Specialization
Citations

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

Fields of papers citing papers by Thach Ngoc Dinh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thach Ngoc Dinh. 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 Thach Ngoc Dinh. The network helps show where Thach Ngoc Dinh may publish in the future.

Co-authorship network of co-authors of Thach Ngoc Dinh

This figure shows the co-authorship network connecting the top 25 collaborators of Thach Ngoc Dinh. A scholar is included among the top collaborators of Thach Ngoc Dinh 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 Thach Ngoc Dinh. Thach Ngoc Dinh 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.
Zhu, Fanglai, et al.. (2025). Distributed Hybrid Dynamic Event-Triggered Bipartite Consensus Control for Multi-Agent Systems Against DoS Attacks. IEEE Transactions on Circuits and Systems I Regular Papers. 72(12). 8120–8131.
2.
Dinh, Thach Ngoc, et al.. (2024). Robust interval estimation of state and unknown inputs for linear continuous-time systems: An L1gain characterization. European Journal of Control. 82. 101172–101172.
3.
Kamal, Shyam, et al.. (2024). A minimum operator based discrete variable structure control. European Journal of Control. 76. 100953–100953. 4 indexed citations
4.
Kamal, Shyam, et al.. (2024). Prescribed-Time Optimal Control of Nonlinear Dynamical Systems With Application to a Coupled Tank System. IEEE Transactions on Automation Science and Engineering. 22. 191–201. 13 indexed citations
5.
Kamal, Shyam, et al.. (2024). Lyapunov-based prescribed-time stabilisation control of quantum systems. International Journal of Control. 98(6). 1365–1373. 1 indexed citations
6.
Nam, Phan Thành, Thach Ngoc Dinh, Tarek Raïssi, & Shyam Kamal. (2024). Quantitative Interval State Estimation for Time-Delay Systems. IEEE Control Systems Letters. 8. 2631–2636.
7.
Amairi, Messaoud, et al.. (2023). Functional interval observer design for multivariable linear parameter-varying systems. European Journal of Control. 71. 100794–100794. 4 indexed citations
9.
Dinh, Thach Ngoc, Shyam Kamal, & Rajesh K. Pandey. (2023). Fractional-Order System: Control Theory and Applications. SPIRE - Sciences Po Institutional REpository. 6 indexed citations
10.
Huang, Jun, et al.. (2023). Design of Distributed Interval Observers for Multiple Euler–Lagrange Systems. Mathematics. 11(8). 1872–1872. 2 indexed citations
11.
Kamal, Shyam, et al.. (2023). Neuroadaptive Prescribed-Time Consensus of Uncertain Nonlinear Multi-Agent Systems. IEEE Transactions on Circuits & Systems II Express Briefs. 71(1). 296–300. 17 indexed citations
12.
Li, Tuochen, et al.. (2023). Real-time reachable set estimation for linear time-delay systems based on zonotopes. International Journal of Systems Science. 54(8). 1639–1647. 8 indexed citations
13.
Dinh, Thach Ngoc, Shyam Kamal, & Rajesh K. Pandey. (2022). Fractional-Order System: Control Theory and Applications. Fractal and Fractional. 7(1). 48–48. 2 indexed citations
14.
Singh, Bhawana, et al.. (2022). Vector Control Lyapunov Function Based Stabilization of Nonlinear Systems in Predefined Time. IEEE Transactions on Automatic Control. 68(8). 4984–4989. 21 indexed citations
15.
Singh, Bhawana, Xiaogang Xiong, Thach Ngoc Dinh, Shyam Kamal, & Sandip Ghosh. (2022). Interval observer design for nonlinear systems using simplified contraction theory. IET Control Theory and Applications. 16(10). 935–944. 1 indexed citations
16.
Dinh, Thach Ngoc, et al.. (2021). Zonotopic Kalman Filter-Based Interval Estimation for Discrete-Time Linear Systems With Unknown Inputs. IEEE Control Systems Letters. 6. 806–811. 9 indexed citations
17.
Rauh, Andreas, et al.. (2021). Robust Interval Observer for Systems Described by the Fornasini–Marchesini Second Model. IEEE Control Systems Letters. 6. 1940–1945. 11 indexed citations
18.
Kamal, Shyam, et al.. (2021). A [K, KL] Sector-Based Hands-Off Control With Quantization Parameter Mismatch. IEEE Transactions on Circuits & Systems II Express Briefs. 69(3). 1407–1411. 4 indexed citations
19.
Zhang, Wenhan, Zhenhua Wang, Tarek Raïssi, Thach Ngoc Dinh, & Georgi M. Dimirovski. (2020). Zonotope-based Interval Estimation for Discrete-Time Linear Switched Systems. IFAC-PapersOnLine. 53(2). 4707–4712. 14 indexed citations
20.
Ito, Hiroshi & Thach Ngoc Dinh. (2017). Interval observers for global feedback control of nonlinear systems with robustness with respect to disturbances. European Journal of Control. 39. 68–77. 18 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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