Jiahui Wang
Impact in
- Polymers and Plastics top 2%
- Conducting polymers and applications
- Biomedical Engineering top 2%
- Advanced Sensor and Energy Harvesting Materials
- Muscle activation and electromyography studies
Papers in
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- Neuroscience and Neural Engineering 14
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- Advanced Sensor and Energy Harvesting Materials 10
- Muscle activation and electromyography studies 9
- Co-authors
- Chengkuo Lee (18 shared papers)Nitish V. Thakor (14 shared papers)Hao Wang (5 shared papers)Tianyiyi He (5 shared papers)Qiongfeng Shi (3 shared papers)Sanghoon Lee (3 shared papers)John S. Ho (2 shared papers)Shih-Cheng Yen (4 shared papers)
- Journals
- Advanced Science (5 papers)Nano Energy (4 papers)ACS Nano (2 papers)Shock and Vibration (1 paper)ACS Photonics (1 paper)
- Partner nations
- SingaporeChinaUnited States
In The Last Decade
Jiahui Wang
30 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 81
- Polymers and Plastics 589
- Biomedical Engineering 1.1k
- Cellular and Molecular Neuroscience 398
- Cognitive Neuroscience 356
- Neurology 88
Countries citing papers authored by Jiahui Wang
This map shows the geographic impact of Jiahui Wang'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 Jiahui Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiahui Wang more than expected).
Fields of papers citing papers by Jiahui Wang
This network shows the impact of papers produced by Jiahui Wang. 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 Jiahui Wang. The network helps show where Jiahui Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiahui Wang, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 219 | |
| 2 | 2019 | 148 | |
| 3 | 2017 | 130 | |
| 4 | 2019 | 117 | |
| 5 | 2019 | 116 | |
| 6 | 2015 | 97 | |
| 7 | 2018 | 96 | |
| 8 | 2019 | 96 | |
| 9 | 2017 | 80 | |
| 10 | 2017 | 51 | |
| 11 | 2020 | 43 | |
| 12 | 2016 | 37 | |
| 13 | 2017 | 34 | |
| 14 | 2019 | 14 | |
| 15 | 2021 | 13 | |
| 16 | 2016 | 8 | |
| 17 | 2023 | 7 | |
| 18 | 2015 | 7 | |
| 19 | 2025 | 6 | |
| 20 | 2022 | 6 |
About Jiahui Wang
Jiahui Wang is a scholar working on Cellular and Molecular Neuroscience, Biomedical Engineering, Cognitive Neuroscience, Control and Systems Engineering and Polymers and Plastics, having authored 37 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (14 papers), Advanced Sensor and Energy Harvesting Materials (10 papers), Muscle activation and electromyography studies (9 papers), Conducting polymers and applications (6 papers), EEG and Brain-Computer Interfaces (6 papers), 3D Surveying and Cultural Heritage (4 papers), 3D Shape Modeling and Analysis (4 papers) and Machine Fault Diagnosis Techniques (3 papers). The work is most often cited by research in Polymers and Plastics (589 citations), Biomedical Engineering (1.1k citations), Cellular and Molecular Neuroscience (398 citations), Cognitive Neuroscience (356 citations) and Neurology (88 citations). Jiahui Wang has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include Chengkuo Lee, Nitish V. Thakor, Hao Wang, Tianyiyi He, Qiongfeng Shi, Sanghoon Lee, John S. Ho, Shih-Cheng Yen, Shih‐Cheng Yen and Xi Tian. Their work appears in journals such as Advanced Science, Nano Energy, ACS Nano, Shock and Vibration and ACS Photonics.
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.