Chien Chern Cheah
- Control and Systems Engineering top 0.2%
- Adaptive Control of Nonlinear Systems 52
- Robot Manipulation and Learning 41
- Robotic Mechanisms and Dynamics 39
- Iterative Learning Control Systems 30
-
- Advanced Vision and Imaging 20
- Media Technology top 1%
- Biomedical Engineering top 2%
- Microfluidic and Bio-sensing Technologies 31
-
- Orbital Angular Momentum in Optics 35
-
- Teleoperation and Haptic Systems 28
- Co-authors
- J.-J.E. SlotineSaing Paul HouS. ArimotoS. KawamuraC. LiuChao LiuJuanjuan ZhangReza Haghighi
- Cited by
- Control and Systems EngineeringComputer Vision and Pattern RecognitionComputer Networks and Communications
- Journals
- IEEE Transactions on Automatic Control (8 papers)IEEE Transactions on Industrial Electronics (1 paper)Automatica (14 papers)
- Partner nations
- SingaporeUnited StatesJapan
In The Last Decade
Chien Chern Cheah
170 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 98
- Control and Systems Engineering 2.6k
- Computer Vision and Pattern Recognition 736
- Computer Networks and Communications 762
- Media Technology 270
- Biomedical Engineering 1.3k
Countries citing papers authored by Chien Chern Cheah
This map shows the geographic impact of Chien Chern Cheah'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 Chien Chern Cheah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chien Chern Cheah more than expected).
Fields of papers citing papers by Chien Chern Cheah
This network shows the impact of papers produced by Chien Chern Cheah. 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 Chien Chern Cheah. The network helps show where Chien Chern Cheah may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chien Chern Cheah, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 12 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 0 | |
| 8 | 2021 | 17 | |
| 9 | 2020 | 0 | |
| 10 | 2019 | 10 | |
| 11 | 2016 | 2 | |
| 12 | 2016 | 3 | |
| 13 | 2016 | 4 | |
| 14 | 2016 | 31 | |
| 15 | 2015 | 83 | |
| 16 | 2015 | 24 | |
| 17 | 2005 | 3 | |
| 18 | 2002 | 6 | |
| 19 | 1996 | 12 | |
| 20 | 1994 | 14 |
About Chien Chern Cheah
Chien Chern Cheah is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Media Technology, having authored 182 papers that have together received 4.2k indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (52 papers), Robot Manipulation and Learning (41 papers), Robotic Mechanisms and Dynamics (39 papers), Orbital Angular Momentum in Optics (35 papers), Microfluidic and Bio-sensing Technologies (31 papers), Iterative Learning Control Systems (30 papers), Teleoperation and Haptic Systems (28 papers) and Advanced Vision and Imaging (20 papers). The work is most often cited by research in Control and Systems Engineering (2.6k citations), Computer Vision and Pattern Recognition (736 citations) and Computer Networks and Communications (762 citations). Chien Chern Cheah has collaborated with scholars based in Singapore, United States and Japan. Frequent co-authors include J.-J.E. Slotine, Saing Paul Hou, S. Arimoto, S. Kawamura, C. Liu, Chao Liu, Juanjuan Zhang, Reza Haghighi, Danwei Wang and Danwei Wang. Their work appears in journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Industrial Electronics and Automatica.
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.