Gregory Chong
Impact in
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- Advanced Control Systems Design
- Advanced Control Systems Optimization
- Extremum Seeking Control Systems
- Iterative Learning Control Systems
- Fault Detection and Control Systems
- Adaptive Control of Nonlinear Systems
- Microgrid Control and Optimization
Papers in
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- Advanced Control Systems Optimization 5
- Advanced Control Systems Design 4
- Extremum Seeking Control Systems 2
- Iterative Learning Control Systems 1
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- Evolutionary Algorithms and Applications 2
- Neural Networks and Applications 1
- Co-authors
- Yun Li (5 shared papers)Kiam Heong Ang (3 shared papers)Kay Chen Tan (2 shared papers)Hiroshi Kashiwagi (1 shared paper)H. Kashiwagi (1 shared paper)
- Journals
- IEEE Control Systems (2 papers)Machine Intelligence Research (1 paper)Lecture notes in computer science (1 paper)National University of Singapore (1 paper)
- Partner nations
- United KingdomJapan
In The Last Decade
Gregory Chong
5 papers receiving 567 citations
Gregory Chong's Hit Papers
Peers
Comparison fields: 5 of 79
- Control and Systems Engineering 439
- Energy Engineering and Power Technology 9
- Modeling and Simulation 13
- Mechanical Engineering 102
- Automotive Engineering 26
Countries citing papers authored by Gregory Chong
This map shows the geographic impact of Gregory Chong'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 Gregory Chong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory Chong more than expected).
Fields of papers citing papers by Gregory Chong
This network shows the impact of papers produced by Gregory Chong. 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 Gregory Chong. The network helps show where Gregory Chong may publish in the future.
Co-authors
The 5 scholars most cited alongside Gregory Chong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | PID control system analysis and design Hit paper breakdown → | 2006 | 438 |
| 2 | 2006 | 141 | |
| 3 | 2004 | 32 | |
| 4 | 2000 | 2 | |
| 5 | Evolutionary CAutoCSD and its applications | 2002 | 1 |
About Gregory Chong
Gregory Chong is a scholar working on Control and Systems Engineering, Artificial Intelligence, Insect Science, Renewable Energy, Sustainability and the Environment and Obstetrics and Gynecology, having authored 5 papers that have together received 614 indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (5 papers), Advanced Control Systems Design (4 papers), Extremum Seeking Control Systems (2 papers), Evolutionary Algorithms and Applications (2 papers), Iterative Learning Control Systems (1 paper) and Neural Networks and Applications (1 paper). The work is most often cited by research in Control and Systems Engineering (439 citations), Energy Engineering and Power Technology (9 citations), Modeling and Simulation (13 citations), Mechanical Engineering (102 citations) and Automotive Engineering (26 citations). Gregory Chong has collaborated with scholars based in United Kingdom and Japan. Frequent co-authors include Yun Li, Kiam Heong Ang, Kay Chen Tan, Hiroshi Kashiwagi and H. Kashiwagi. Their work appears in journals such as IEEE Control Systems, Machine Intelligence Research, Lecture notes in computer science and National University of Singapore.
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.