Jin-Huat Low
- Biomedical Engineering top 5%
- Control and Systems Engineering top 5%
- Mechanical Engineering top 10%
- Cognitive Neuroscience top 10%
- Electrical and Electronic Engineering
- Co-authors
- Chen‐Hua YeowPhone May KhinNitish V. ThakorHongliang RenSunil L. KukrejaNicholas ChengMarcelo H. AngWang Wei Lee
- Topics
- Soft Robotics and Applications (22 papers)Robot Manipulation and Learning (17 papers)Advanced Sensor and Energy Harvesting Materials (8 papers)
- Partner nations
- SingaporeUnited StatesChina
In The Last Decade
Jin-Huat Low
31 papers receiving 629 citations
Peers
Comparison fields: 5 of 74
- Biomedical Engineering 549
- Control and Systems Engineering 189
- Mechanical Engineering 167
- Cognitive Neuroscience 135
- Electrical and Electronic Engineering 69
Countries citing papers authored by Jin-Huat Low
This map shows the geographic impact of Jin-Huat 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 Jin-Huat Low with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin-Huat Low more than expected).
Fields of papers citing papers by Jin-Huat Low
This network shows the impact of papers produced by Jin-Huat 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 Jin-Huat Low. The network helps show where Jin-Huat Low may publish in the future.
Co-authorship network of co-authors of Jin-Huat Low
This figure shows the co-authorship network connecting the top 25 collaborators of Jin-Huat Low. A scholar is included among the top collaborators of Jin-Huat 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 Jin-Huat Low. Jin-Huat Low is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | 4 | |
| 3 | 12 | |
| 4 | 1 | |
| 5 | 11 | |
| 6 | 60 | |
| 7 | 128 | |
| 8 | 20 | |
| 9 | A WEARABLE FOOT MOTION TRACKING SENSOR FOR OUTDOOR RUNNING | 1 |
| 10 | 8 | |
| 11 | 2 | |
| 12 | DEVELOPMENT OF A WEARABLE GAIT DETECTION SYSTEM FOR RACEHORSES | 2 |
| 13 | 32 | |
| 14 | 20 | |
| 15 | Redistribution of Plantar Pressure with Pneumatic Insole | 2 |
| 16 | 30 | |
| 17 | Investigation of the motion mimicking ability in healthy subjects during simple and complex tasks | 2 |
| 18 | 2 | |
| 19 | 10 | |
| 20 | 1 |
About Jin-Huat Low
Jin-Huat Low is a scholar working on Control and Systems Engineering, Biomedical Engineering and Equine, having authored 32 papers that have together received 646 indexed citations. Recurring topics across this work include Soft Robotics and Applications (22 papers), Robot Manipulation and Learning (17 papers) and Advanced Sensor and Energy Harvesting Materials (8 papers). The work is most often cited by research in Biomedical Engineering (549 citations), Control and Systems Engineering (189 citations) and Cognitive Neuroscience (135 citations). Jin-Huat Low has collaborated with scholars based in Singapore, United States and China. Frequent co-authors include Chen‐Hua Yeow, Phone May Khin, Nitish V. Thakor, Hongliang Ren, Sunil L. Kukreja, Nicholas Cheng, Marcelo H. Ang, Wang Wei Lee, Jin Guo and Zhuangjian Liu. Their work appears in journals such as ACS Nano, Journal of Biomechanics and Polymers.
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.