Chang Boon Low

1.7k total citations
41 papers, 1.3k citations indexed

About

Chang Boon Low is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Chang Boon Low has authored 41 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Control and Systems Engineering, 21 papers in Computer Vision and Pattern Recognition and 11 papers in Computer Networks and Communications. Recurrent topics in Chang Boon Low's work include Robotic Path Planning Algorithms (21 papers), Control and Dynamics of Mobile Robots (18 papers) and Fault Detection and Control Systems (14 papers). Chang Boon Low is often cited by papers focused on Robotic Path Planning Algorithms (21 papers), Control and Dynamics of Mobile Robots (18 papers) and Fault Detection and Control Systems (14 papers). Chang Boon Low collaborates with scholars based in Singapore and Israel. Chang Boon Low's co-authors include Danwei Wang, Danwei Wang, Shai Arogeti, Senqiang Zhu, Ming Yu, Ming Luo, Minh Hong Pham, Junbo Zhang, Meng Joo Er and Jun-Hong Zhou and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Control Systems Technology and IEEE Transactions on Robotics.

In The Last Decade

Chang Boon Low

41 papers receiving 1.2k citations

Peers

Chang Boon Low
Suhada Jayasuriya United States
Suseong Kim South Korea
Carl D. Crane United States
Chang Boon Low
Citations per year, relative to Chang Boon Low Chang Boon Low (= 1×) peers Gregor Klančar

Countries citing papers authored by Chang Boon Low

Since Specialization
Citations

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

Fields of papers citing papers by Chang Boon Low

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chang Boon Low. 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 Chang Boon Low. The network helps show where Chang Boon Low may publish in the future.

Co-authorship network of co-authors of Chang Boon Low

This figure shows the co-authorship network connecting the top 25 collaborators of Chang Boon Low. A scholar is included among the top collaborators of Chang Boon Low 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 Chang Boon Low. Chang Boon Low 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.
6.
Zhu, Senqiang, Danwei Wang, & Chang Boon Low. (2013). Cooperative Control of Multiple UAVs for Moving Source Seeking. Journal of Intelligent & Robotic Systems. 74(1-2). 333–346. 43 indexed citations
8.
Zhu, Senqiang, Danwei Wang, & Chang Boon Low. (2012). Ground Target Tracking Using UAV with Input Constraints. Journal of Intelligent & Robotic Systems. 69(1-4). 417–429. 65 indexed citations
9.
Arogeti, Shai, Danwei Wang, Chang Boon Low, & Ming Yu. (2012). Fault Detection Isolation and Estimation in a Vehicle Steering System. IEEE Transactions on Industrial Electronics. 59(12). 4810–4820. 74 indexed citations
10.
Zhu, Senqiang, Danwei Wang, & Chang Boon Low. (2012). Cooperative Control of Multiple UAVs for Source Seeking. Journal of Intelligent & Robotic Systems. 70(1-4). 293–301. 52 indexed citations
11.
Low, Chang Boon. (2011). A dynamic virtual structure formation control for fixed-wing UAVs. 627–632. 46 indexed citations
12.
Low, Chang Boon & Danwei Wang. (2009). Maneuverability and path following control of wheeled mobile robot in the presence of wheel skidding and slipping. Journal of Field Robotics. 27(2). 127–144. 19 indexed citations
13.
Low, Chang Boon, Danwei Wang, Shai Arogeti, & Ming Luo. (2009). Quantitative Hybrid Bond Graph-Based Fault Detection and Isolation. IEEE Transactions on Automation Science and Engineering. 7(3). 558–569. 58 indexed citations
14.
Arogeti, Shai, Danwei Wang, Chang Boon Low, & Ming Yu. (2009). Fault detection and isolation in a mobile robot test-bed. 398–404. 10 indexed citations
15.
Wang, Danwei, et al.. (2008). Causality assignment and model approximation for quantitative hybrid bond graph-based fault diagnosis. IFAC Proceedings Volumes. 41(2). 10522–10527. 18 indexed citations
16.
Low, Chang Boon & Danwei Wang. (2008). GPS-Based Path Following Control for a Car-Like Wheeled Mobile Robot With Skidding and Slipping. IEEE Transactions on Control Systems Technology. 16(2). 340–347. 101 indexed citations
17.
Wang, Danwei & Chang Boon Low. (2008). Modeling and Analysis of Skidding and Slipping in Wheeled Mobile Robots: Control Design Perspective. IEEE Transactions on Robotics. 24(3). 676–687. 183 indexed citations
18.
Wang, Danwei, et al.. (2008). Monitoring ability analysis and qualitative fault diagnosis using hybrid bond graph. IFAC Proceedings Volumes. 41(2). 10516–10521. 19 indexed citations
20.
Low, Chang Boon & Danwei Wang. (2005). Robust path following of car-like WMR in the presence of skidding effects. 44. 864–869. 7 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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