Chee Peng Lim
Impact in
- Artificial Intelligence top 0.1%
- Neural Networks and Applications
- Metaheuristic Optimization Algorithms Research
- Fuzzy Logic and Control Systems
- Imbalanced Data Classification Techniques
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- Face and Expression Recognition
Papers in
-
- Neural Networks and Applications 91
- Fuzzy Logic and Control Systems 79
- Metaheuristic Optimization Algorithms Research 39
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- Multi-Criteria Decision Making 38
- Co-authors
- Li ZhangSaeid NahavandiManjeevan SeeraKai Meng TaySiew Chin NeohGrienggrai RajchakitHoushyar AsadiShady Mohamed
In The Last Decade
Chee Peng Lim
439 papers receiving 11.4k citations
Hit Papers
Peers
Comparison fields: 5 of 196
- Artificial Intelligence 4.5k
- Computer Vision and Pattern Recognition 1.9k
- Control and Systems Engineering 2.1k
- Computer Networks and Communications 1.8k
- Management Science and Operations Research 923
Countries citing papers authored by Chee Peng Lim
This map shows the geographic impact of Chee Peng Lim'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 Chee Peng Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chee Peng Lim more than expected).
Fields of papers citing papers by Chee Peng Lim
This network shows the impact of papers produced by Chee Peng Lim. 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 Chee Peng Lim. The network helps show where Chee Peng Lim may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chee Peng Lim, 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 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 16 | |
| 8 | 2024 | 15 | |
| 9 | 2024 | 3 | |
| 10 | 2024 | 4 | |
| 11 | 2023 | 1 | |
| 12 | 2023 | 7 | |
| 13 | 2022 | 21 | |
| 14 | 2021 | 63 | |
| 15 | 2021 | 33 | |
| 16 | 2019 | 98 | |
| 17 | 2018 | 25 | |
| 18 | 2015 | 53 | |
| 19 | Authenticating the Identity of Computer Users with Typing Biometrics and the Fuzzy Min-Max Neural Network( BIOMETRICS AND ITS APPLICATIONS) | 2009 | 2 |
| 20 | Short term power load forecasting using a modified generalized regression neural network | 2008 | 1 |
About Chee Peng Lim
Chee Peng Lim is a scholar working on Artificial Intelligence, Management Science and Operations Research, Control and Systems Engineering, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 464 papers that have together received 11.9k indexed citations. Recurring topics across this work include Neural Networks and Applications (91 papers), Fuzzy Logic and Control Systems (79 papers), Neural Networks Stability and Synchronization (42 papers), Metaheuristic Optimization Algorithms Research (39 papers), Multi-Criteria Decision Making (38 papers), Fault Detection and Control Systems (33 papers), Aerospace and Aviation Technology (25 papers) and Face and Expression Recognition (20 papers). The work is most often cited by research in Artificial Intelligence (4.5k citations), Computer Vision and Pattern Recognition (1.9k citations), Control and Systems Engineering (2.1k citations), Computer Networks and Communications (1.8k citations) and Management Science and Operations Research (923 citations). Chee Peng Lim has collaborated with scholars based in Australia, Malaysia and China. Frequent co-authors include Li Zhang, Saeid Nahavandi, Manjeevan Seera, Kai Meng Tay, Siew Chin Neoh, Grienggrai Rajchakit, Houshyar Asadi, Shady Mohamed, R. Sriraman and Chu Kiong Loo. Their work appears in journals such as Applied Soft Computing, Neural Computing and Applications, Expert Systems with Applications, IEEE Access and Journal of Intelligent & Fuzzy Systems.
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.