Cheng‐Chew Lim

8.8k citations
239 papers · 7.0k indexed · 5 hit papers · h-index 42

Cheng‐Chew Lim

227 papers receiving 6.9k citations

Hit Papers

Fuzzy-Model-Based Lateral C...1632014202620182022100200300

Peers

Cheng‐Chew Lim
Comparison fields: 5 of 129
  • Control and Systems Engineering 4.8k
  • Computer Networks and Communications 3.1k
  • Computational Theory and Mathematics 938
  • Statistical and Nonlinear Physics 449
  • Artificial Intelligence 758
Replace Magdi S. Mahmoud with:
Magdi S. Mahmoud Saudi Arabia
Hao Zhang China
Michael S. Branicky United States
Hai Lin United States
Chen Peng China
Mikael Johansson Sweden
Donghua Zhou China
Yu‐Chu Tian Australia
Robert Shorten Ireland
Minyue Fu Australia
Cheng‐Chew Lim relative to Magdi S. Mahmoud Saudi Arabia Magdi S. Mahmoud's profile →
Citations per field
00.5×1.5×2.1×
Magdi S. Mahmoud · 1×
Citations per year

Countries citing papers authored by Cheng‐Chew Lim

Since Specialization
Citations

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

Fields of papers citing papers by Cheng‐Chew Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cheng‐Chew 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 Cheng‐Chew Lim. The network helps show where Cheng‐Chew Lim may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Cheng‐Chew Lim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Cheng‐Chew Lim Line = papers co-authored together Cheng‐Chew Lim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202216
2
Fuzzy-Model-Based Lateral Control for Networked Autonomous Vehicle Systems Under Hybrid Cyber-Attacksbreakdown →
2022163
3 202213
4 20218
5 202146
6 202117
7 2021102
8 20206
9 202021
10 202071
11 202018
12 201965
13 201927
14 201814
15 20189
16 201841
17 201835
18 201829
19 20167
20 2016225

About Cheng‐Chew Lim

Cheng‐Chew Lim is a scholar working on Control and Systems Engineering, Computer Networks and Communications and Hardware and Architecture, having authored 239 papers that have together received 7.0k indexed citations. Recurring topics across this work include Stability and Control of Uncertain Systems (49 papers), Neural Networks Stability and Synchronization (40 papers), Adaptive Control of Nonlinear Systems (39 papers), Distributed Control Multi-Agent Systems (38 papers), Fault Detection and Control Systems (29 papers), Control Systems and Identification (16 papers), Guidance and Control Systems (14 papers) and Advanced Control Systems Optimization (13 papers). The work is most often cited by research in Control and Systems Engineering (4.8k citations), Computer Networks and Communications (3.1k citations) and Computational Theory and Mathematics (938 citations). Cheng‐Chew Lim has collaborated with scholars based in Australia, China and United Kingdom. Frequent co-authors include Peng Shi, Ligang Wu, Fanbiao Li, Mou Chen, Huabin Chen, Huijiao Wang, Yu‐Long Wang, Zhi Lian, Zhenhua Wang and Shengyuan Xu. Their work appears in journals such as Journal of the Franklin Institute, International Journal of Robust and Nonlinear Control, International Journal of Control, International Journal of Systems Science and IEEE Transactions on Neural Networks and Learning 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.

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