M.L. Kuang
Impact in
- Automotive Engineering top 2%
- Electric and Hybrid Vehicle Technologies
- Advanced Battery Technologies Research
- Vehicle emissions and performance
- Vehicle Dynamics and Control Systems
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- Electric Vehicles and Infrastructure
Papers in
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- Electric and Hybrid Vehicle Technologies 7
- Advanced Battery Technologies Research 3
- Vehicle emissions and performance 2
- Vehicle Dynamics and Control Systems 1
-
- Electric Vehicles and Infrastructure 4
- Co-authors
- Anastasia Phillips (3 shared papers)Yi Lu Murphey (3 shared papers)Hao Ying (2 shared papers)Fazal Syed (2 shared papers)M. Abul Masrur (2 shared papers)Jungme Park (2 shared papers)Zhihang Chen (1 shared paper)Shuhei Okubo (1 shared paper)
- Journals
- IEEE Transactions on Vehicular Technology (4 papers)IEEE Transactions on Automation Science and Engineering (1 paper)Applied Soft Computing (1 paper)Machines (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
M.L. Kuang
10 papers receiving 466 citations
Peers
Comparison fields: 5 of 41
- Automotive Engineering 383
- Electrical and Electronic Engineering 290
- Control and Systems Engineering 101
- Fluid Flow and Transfer Processes 26
- Mechanical Engineering 89
Countries citing papers authored by M.L. Kuang
This map shows the geographic impact of M.L. Kuang'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 M.L. Kuang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.L. Kuang more than expected).
Fields of papers citing papers by M.L. Kuang
This network shows the impact of papers produced by M.L. Kuang. 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 M.L. Kuang. The network helps show where M.L. Kuang may publish in the future.
Co-authors
The 25 scholars most cited alongside M.L. Kuang, 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 | 2012 | 162 | |
| 2 | 2009 | 99 | |
| 3 | 2009 | 77 | |
| 4 | 2009 | 76 | |
| 5 | 2011 | 30 | |
| 6 | 1999 | 18 | |
| 7 | Neural Learning of Predicting Driving Environment | 2008 | 11 |
| 8 | 2023 | 9 | |
| 9 | 2017 | 4 | |
| 10 | 2018 | 1 | |
| 11 | 2025 | 0 | |
| 12 | 2025 | 0 |
About M.L. Kuang
M.L. Kuang is a scholar working on Automotive Engineering, Electrical and Electronic Engineering, Mechanical Engineering, Control and Systems Engineering and Atomic and Molecular Physics, and Optics, having authored 12 papers that have together received 487 indexed citations. Recurring topics across this work include Electric and Hybrid Vehicle Technologies (7 papers), Electric Vehicles and Infrastructure (4 papers), Advanced Battery Technologies Research (3 papers), Control Systems in Engineering (3 papers), Advanced machining processes and optimization (2 papers), Vehicle emissions and performance (2 papers), Iterative Learning Control Systems (2 papers) and Vehicle Dynamics and Control Systems (1 paper). The work is most often cited by research in Automotive Engineering (383 citations), Electrical and Electronic Engineering (290 citations), Control and Systems Engineering (101 citations), Fluid Flow and Transfer Processes (26 citations) and Mechanical Engineering (89 citations). M.L. Kuang has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Anastasia Phillips, Yi Lu Murphey, Hao Ying, Fazal Syed, M. Abul Masrur, Jungme Park, Zhihang Chen, Shuhei Okubo, Zhihang Chen and Wei Liang. Their work appears in journals such as IEEE Transactions on Vehicular Technology, IEEE Transactions on Automation Science and Engineering, Applied Soft Computing and Machines.
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.