Chong‐Jin Ong

1.7k total citations
59 papers, 1.3k citations indexed

About

Chong‐Jin Ong is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Chong‐Jin Ong has authored 59 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Control and Systems Engineering, 16 papers in Electrical and Electronic Engineering and 10 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Chong‐Jin Ong's work include Advanced Control Systems Optimization (22 papers), Control Systems and Identification (14 papers) and Stability and Control of Uncertain Systems (13 papers). Chong‐Jin Ong is often cited by papers focused on Advanced Control Systems Optimization (22 papers), Control Systems and Identification (14 papers) and Stability and Control of Uncertain Systems (13 papers). Chong‐Jin Ong collaborates with scholars based in Singapore, United States and China. Chong‐Jin Ong's co-authors include Kaiquan Shen, Einar Wilder‐Smith, Masood Dehghan, Elmer G. Gilbert, Xiaoping Li, Jianbo Yang, Shiyun Shao, Chen Wang, Dan Zhang and Zheming Wang and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Chong‐Jin Ong

57 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chong‐Jin Ong Singapore 22 569 195 195 187 144 59 1.3k
Reza R. Adhami United States 19 255 0.4× 135 0.7× 162 0.8× 420 2.2× 45 0.3× 103 1.5k
Ivan Tyukin United Kingdom 18 306 0.5× 204 1.0× 392 2.0× 126 0.7× 255 1.8× 100 1.3k
Chao Huang China 15 396 0.7× 388 2.0× 116 0.6× 122 0.7× 198 1.4× 76 1.0k
Danilo Comminiello Italy 21 319 0.6× 63 0.3× 611 3.1× 179 1.0× 115 0.8× 100 1.8k
Xuemin Chi China 7 92 0.2× 189 1.0× 638 3.3× 226 1.2× 146 1.0× 14 1.8k
Bo Sun China 24 114 0.2× 177 0.9× 344 1.8× 151 0.8× 101 0.7× 161 1.8k
Nash Borges United States 6 76 0.1× 190 1.0× 669 3.4× 221 1.2× 115 0.8× 9 1.7k
Scott Rickard Ireland 18 212 0.4× 97 0.5× 344 1.8× 343 1.8× 222 1.5× 93 2.8k
Özgür Çetin United States 12 85 0.1× 185 0.9× 919 4.7× 228 1.2× 120 0.8× 27 2.0k
Amardeep Singh India 20 139 0.2× 416 2.1× 378 1.9× 235 1.3× 211 1.5× 63 1.6k

Countries citing papers authored by Chong‐Jin Ong

Since Specialization
Citations

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

Fields of papers citing papers by Chong‐Jin Ong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chong‐Jin Ong. 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 Chong‐Jin Ong. The network helps show where Chong‐Jin Ong may publish in the future.

Co-authorship network of co-authors of Chong‐Jin Ong

This figure shows the co-authorship network connecting the top 25 collaborators of Chong‐Jin Ong. A scholar is included among the top collaborators of Chong‐Jin Ong 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 Chong‐Jin Ong. Chong‐Jin Ong 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.
Ong, Chong‐Jin, et al.. (2025). Event-triggered distributed predictive control for multi-agent systems with stability constraints. Automatica. 178. 112358–112358.
2.
Ong, Chong‐Jin, et al.. (2021). Output consensusability of network with two-dimensional heterogeneous linear agents via static diffusive output feedback. Systems & Control Letters. 159. 105084–105084. 1 indexed citations
3.
4.
Ong, Chong‐Jin, et al.. (2019). Sum‐of‐squares–based consensus verification for directed networks with nonlinear protocols. International Journal of Robust and Nonlinear Control. 30(4). 1719–1732. 6 indexed citations
5.
Wang, Zheming & Chong‐Jin Ong. (2015). Distributed MPC of constrained linear systems with online decoupling of the terminal constraint. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 3. 2942–2947. 4 indexed citations
6.
Yang, Jian‐Bo & Chong‐Jin Ong. (2012). An Effective Feature Selection Method via Mutual Information Estimation. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 42(6). 1550–1559. 40 indexed citations
7.
Yang, Jianbo & Chong‐Jin Ong. (2011). Determination of Global Minima of Some Common Validation Functions in Support Vector Machine. IEEE Transactions on Neural Networks. 22(4). 654–659. 15 indexed citations
8.
Wang, Chen & Chong‐Jin Ong. (2011). Constraint‐admissible sets for systems with soft constraints and their application in model predictive control. International Journal of Robust and Nonlinear Control. 22(11). 1229–1243. 2 indexed citations
9.
Ong, Chong‐Jin, Shiyun Shao, & Jianbo Yang. (2010). An Improved Algorithm for the Solution of the Regularization Path of Support Vector Machine. IEEE Transactions on Neural Networks. 21(3). 451–462. 48 indexed citations
10.
Yang, Jianbo & Chong‐Jin Ong. (2010). Feature selection for support vector regression using probabilistic prediction. National University of Singapore. 343–352. 10 indexed citations
11.
Wang, Chen & Chong‐Jin Ong. (2010). Distributed model predictive control of dynamically decoupled systems with coupled cost. Automatica. 46(12). 2053–2058. 56 indexed citations
12.
Yang, Jianbo, Kaiquan Shen, Chong‐Jin Ong, & Xiaoping Li. (2009). Feature Selection for MLP Neural Network: The Use of Random Permutation of Probabilistic Outputs. IEEE Transactions on Neural Networks. 20(12). 1911–1922. 67 indexed citations
13.
Wang, Chen, Chong‐Jin Ong, & Melvyn Sim. (2009). Linear systems with chance constraints: Constraint-admissible set and applications in predictive control. National University of Singapore. 2. 2875–2880. 3 indexed citations
14.
Wang, Chen, Chong‐Jin Ong, & Melvyn Sim. (2009). Convergence properties of constrained linear system under MPC control law using affine disturbance feedback. Automatica. 45(7). 1715–1720. 22 indexed citations
15.
Shen, Kaiquan, Xiaoping Li, Chong‐Jin Ong, Shiyun Shao, & Einar Wilder‐Smith. (2008). EEG-based mental fatigue measurement using multi-class support vector machines with confidence estimate. Clinical Neurophysiology. 119(7). 1524–1533. 131 indexed citations
16.
Ong, Chong‐Jin, Boping Wu, Leung Tsang, & Xiaoxiong Gu. (2008). Full-Wave Solver for Microstrip Trace and Through-Hole Via in Layered Media. IEEE Transactions on Advanced Packaging. 31(2). 292–302. 25 indexed citations
17.
Shen, Kaiquan, et al.. (2007). A Feature Selection Method for Multilevel Mental Fatigue EEG Classification. IEEE Transactions on Biomedical Engineering. 54(7). 1231–1237. 112 indexed citations
18.
Shen, Kaiquan, Chong‐Jin Ong, Xiaoping Li, & Einar Wilder‐Smith. (2007). Feature selection via sensitivity analysis of SVM probabilistic outputs. Machine Learning. 70(1). 1–20. 61 indexed citations
19.
Tsang, Leung, Chong‐Jin Ong, & Bian Wu. (2006). Electromagnetic Fields of Hertzian Dipoles in Thin-Layered Media. IEEE Antennas and Wireless Propagation Letters. 5. 537–540. 10 indexed citations
20.
Huang, Chung‐Chi, et al.. (2005). Transmission and scattering on interconnects with via structures. Microwave and Optical Technology Letters. 46(5). 446–452. 11 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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