Hang Wang
Impact in
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
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- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- EEG and Brain-Computer Interfaces 4
- Hearing Loss and Rehabilitation 2
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- Environmental remediation with nanomaterials 2
- Co-authors
- Yasuhiro Katagiri (1 shared paper)Panpan Yu (1 shared paper)Mayra Paolillo (1 shared paper)Antonio Feliciello (1 shared paper)Sergio Schinelli (1 shared paper)Herbert M. Geller (1 shared paper)Patrizia Zanassi (1 shared paper)Zhichuan Tang (3 shared papers)
- Journals
- Journal of Neuroscience (2 papers)IEEE Transactions on Neural Systems and Rehabilitation Engineering (2 papers)Applied Surface Science (1 paper)Journal of Advanced Research (1 paper)Frontiers in Neuroscience (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Hang Wang
17 papers receiving 384 citations
Peers
Comparison fields: 5 of 86
- Developmental Neuroscience 69
- Neurology 52
- Cognitive Neuroscience 111
- Cellular and Molecular Neuroscience 93
- Rehabilitation 24
Countries citing papers authored by Hang Wang
This map shows the geographic impact of Hang 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 Hang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hang Wang more than expected).
Fields of papers citing papers by Hang Wang
This network shows the impact of papers produced by Hang 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 Hang Wang. The network helps show where Hang Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Hang 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
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 86 | |
| 2 | 2011 | 57 | |
| 3 | 2002 | 54 | |
| 4 | 2013 | 46 | |
| 5 | 2022 | 37 | |
| 6 | 2013 | 31 | |
| 7 | 2021 | 15 | |
| 8 | 2023 | 12 | |
| 9 | 2016 | 10 | |
| 10 | 2023 | 8 | |
| 11 | 2023 | 8 | |
| 12 | 2016 | 5 | |
| 13 | 2024 | 5 | |
| 14 | 2024 | 4 | |
| 15 | 2023 | 3 | |
| 16 | 2023 | 2 | |
| 17 | 2024 | 1 | |
| 18 | 2025 | 0 |
About Hang Wang
Hang Wang is a scholar working on Cognitive Neuroscience, Biomedical Engineering, Molecular Biology, Experimental and Cognitive Psychology and Human-Computer Interaction, having authored 18 papers that have together received 384 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (4 papers), Gaze Tracking and Assistive Technology (3 papers), Advanced oxidation water treatment (3 papers), Hearing Loss and Rehabilitation (2 papers), Multisensory perception and integration (2 papers), Stroke Rehabilitation and Recovery (2 papers), Advanced Photocatalysis Techniques (2 papers) and Environmental remediation with nanomaterials (2 papers). The work is most often cited by research in Developmental Neuroscience (69 citations), Neurology (52 citations), Cognitive Neuroscience (111 citations), Cellular and Molecular Neuroscience (93 citations) and Rehabilitation (24 citations). Hang Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yasuhiro Katagiri, Panpan Yu, Mayra Paolillo, Antonio Feliciello, Sergio Schinelli, Herbert M. Geller, Patrizia Zanassi, Zhichuan Tang, Cunmei Jiang and Vanessa K. Lim. Their work appears in journals such as Journal of Neuroscience, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Applied Surface Science, Journal of Advanced Research and Frontiers in Neuroscience.
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.