Win Tun Latt
Impact in
- Neurology top 10%
- Neurological disorders and treatments
-
- Piezoelectric Actuators and Control
Papers in
-
- Soft Robotics and Applications 5
- Muscle activation and electromyography studies 4
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- Neuroscience and Neural Engineering 9
- Co-authors
- Wei Tech Ang (32 shared papers)U-Xuan Tan (23 shared papers)Cheng Yap Shee (22 shared papers)Kalyana C. Veluvolu (12 shared papers)Cameron N. Riviere (8 shared papers)Zenan Wang (6 shared papers)Chen Feng (3 shared papers)Ferdinan Widjaja (7 shared papers)
- Journals
- IEEE Sensors Journal (4 papers)IEEE Transactions on Biomedical Engineering (4 papers)Sensors and Actuators A Physical (3 papers)IEEE/ASME Transactions on Mechatronics (3 papers)Sensors (1 paper)
- Partner nations
- SingaporeUnited StatesUnited Kingdom
In The Last Decade
Win Tun Latt
40 papers receiving 804 citations
Peers
Comparison fields: 5 of 83
- Neurology 135
- Control and Systems Engineering 218
- Cellular and Molecular Neuroscience 144
- Biomedical Engineering 337
- Physical Therapy, Sports Therapy and Rehabilitation 25
Countries citing papers authored by Win Tun Latt
This map shows the geographic impact of Win Tun Latt'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 Win Tun Latt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Win Tun Latt more than expected).
Fields of papers citing papers by Win Tun Latt
This network shows the impact of papers produced by Win Tun Latt. 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 Win Tun Latt. The network helps show where Win Tun Latt may publish in the future.
Co-authors
The 25 scholars most cited alongside Win Tun Latt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 72 | |
| 2 | 2007 | 63 | |
| 3 | 2008 | 59 | |
| 4 | 2009 | 56 | |
| 5 | 2011 | 54 | |
| 6 | 2008 | 52 | |
| 7 | 2016 | 47 | |
| 8 | 2015 | 38 | |
| 9 | 2011 | 37 | |
| 10 | 2009 | 37 | |
| 11 | 2016 | 37 | |
| 12 | 2010 | 32 | |
| 13 | 2009 | 31 | |
| 14 | 2013 | 31 | |
| 15 | 2011 | 18 | |
| 16 | 2008 | 18 | |
| 17 | 2009 | 15 | |
| 18 | 2019 | 14 | |
| 19 | 2012 | 13 | |
| 20 | 2012 | 12 |
About Win Tun Latt
Win Tun Latt is a scholar working on Biomedical Engineering, Cellular and Molecular Neuroscience, Control and Systems Engineering, Atomic and Molecular Physics, and Optics and Mechanical Engineering, having authored 40 papers that have together received 826 indexed citations. Recurring topics across this work include Piezoelectric Actuators and Control (9 papers), Neuroscience and Neural Engineering (9 papers), Neurological disorders and treatments (7 papers), Soft Robotics and Applications (5 papers), Advanced MEMS and NEMS Technologies (5 papers), Mechanical and Optical Resonators (5 papers), Muscle activation and electromyography studies (4 papers) and Advanced Measurement and Metrology Techniques (4 papers). The work is most often cited by research in Neurology (135 citations), Control and Systems Engineering (218 citations), Cellular and Molecular Neuroscience (144 citations), Biomedical Engineering (337 citations) and Physical Therapy, Sports Therapy and Rehabilitation (25 citations). Win Tun Latt has collaborated with scholars based in Singapore, United States and United Kingdom. Frequent co-authors include Wei Tech Ang, U-Xuan Tan, Cheng Yap Shee, Kalyana C. Veluvolu, Cameron N. Riviere, Zenan Wang, Chen Feng, Ferdinan Widjaja, Guang‐Zhong Yang and Christopher J. Payne. Their work appears in journals such as IEEE Sensors Journal, IEEE Transactions on Biomedical Engineering, Sensors and Actuators A Physical, IEEE/ASME Transactions on Mechatronics and Sensors.
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.