Ali Moin
Impact in
- Human-Computer Interaction top 5%
- Hand Gesture Recognition Systems
- Biomedical Engineering top 5%
- Advanced Sensor and Energy Harvesting Materials
- Muscle activation and electromyography studies
- Analog and Mixed-Signal Circuit Design
- Wireless Body Area Networks
- Non-Invasive Vital Sign Monitoring
Papers in
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- Muscle activation and electromyography studies 4
- Wireless Body Area Networks 4
- Advanced Sensor and Energy Harvesting Materials 1
- Analog and Mixed-Signal Circuit Design 1
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- Hand Gesture Recognition Systems 3
- Co-authors
- Jan M. Rabaey (11 shared papers)Andy Zhou (5 shared papers)George Alexandrov (4 shared papers)Fred Burghardt (4 shared papers)Simone Benatti (4 shared papers)Abbas Rahimi (3 shared papers)Natasha A. D. Yamamoto (2 shared papers)Alisha Menon (2 shared papers)
- Journals
- Proceedings of the IEEE (1 paper)Nature Electronics (1 paper)IEEE Journal of Biomedical and Health Informatics (1 paper)Sensors (1 paper)Nature Biomedical Engineering (1 paper)
- Partner nations
- United StatesItalySwitzerland
In The Last Decade
Ali Moin
11 papers receiving 1k citations
Ali Moin's Hit Papers
Peers
Comparison fields: 5 of 66
- Human-Computer Interaction 126
- Biomedical Engineering 571
- Cellular and Molecular Neuroscience 146
- Hardware and Architecture 28
- Electrical and Electronic Engineering 164
Countries citing papers authored by Ali Moin
This map shows the geographic impact of Ali Moin'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 Ali Moin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ali Moin more than expected).
Fields of papers citing papers by Ali Moin
This network shows the impact of papers produced by Ali Moin. 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 Ali Moin. The network helps show where Ali Moin may publish in the future.
Co-authors
The 25 scholars most cited alongside Ali Moin, 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 | A wearable biosensing system with in-sensor adaptive machine learning for hand gesture recognition Hit paper breakdown → | 2020 | 582 |
| 2 | 2018 | 186 | |
| 3 | 2017 | 89 | |
| 4 | 2018 | 88 | |
| 5 | 2018 | 22 | |
| 6 | 2020 | 20 | |
| 7 | 2019 | 14 | |
| 8 | 2017 | 12 | |
| 9 | 2016 | 8 | |
| 10 | 2025 | 4 | |
| 11 | 2020 | 2 |
About Ali Moin
Ali Moin is a scholar working on Biomedical Engineering, Human-Computer Interaction, Cellular and Molecular Neuroscience, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 11 papers that have together received 1k indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (4 papers), Wireless Body Area Networks (4 papers), Hand Gesture Recognition Systems (3 papers), Neuroscience and Neural Engineering (2 papers), Advanced Sensor and Energy Harvesting Materials (1 paper) and Analog and Mixed-Signal Circuit Design (1 paper). The work is most often cited by research in Human-Computer Interaction (126 citations), Biomedical Engineering (571 citations), Cellular and Molecular Neuroscience (146 citations), Hardware and Architecture (28 citations) and Electrical and Electronic Engineering (164 citations). Ali Moin has collaborated with scholars based in United States, Italy and Switzerland. Frequent co-authors include Jan M. Rabaey, Andy Zhou, George Alexandrov, Fred Burghardt, Simone Benatti, Abbas Rahimi, Natasha A. D. Yamamoto, Alisha Menon, Jonathan Ting and Ana Claudia Arias. Their work appears in journals such as Proceedings of the IEEE, Nature Electronics, IEEE Journal of Biomedical and Health Informatics, Sensors and Nature Biomedical Engineering.
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.