Ze Wang
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces 18
- Neural dynamics and brain function 8
- Functional Brain Connectivity Studies 5
- Signal Processing top 5%
- Blind Source Separation Techniques 10
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- Neuroscience and Neural Engineering 6
- Human-Computer Interaction top 5%
- Neurology top 10%
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- Advanced Memory and Neural Computing 4
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- ECG Monitoring and Analysis 3
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- Image and Signal Denoising Methods 3
- Co-authors
- Feng WanChi Man WongAlessandro Pasquale De RosaBoyu WangLiming ZhangTzyy‐Ping JungPeng Un MakMang I Vai
- Journals
- IEEE Transactions on Neural Systems and Rehabilitation Engineering (5 papers)IEEE Access (2 papers)IEEE Transactions on Affective Computing (2 papers)
- Partner nations
- ChinaMacaoUnited States
In The Last Decade
Ze Wang
42 papers receiving 876 citations
Peers
Comparison fields: 5 of 111
- Cognitive Neuroscience 475
- Signal Processing 178
- Cellular and Molecular Neuroscience 242
- Human-Computer Interaction 66
- Neurology 74
Countries citing papers authored by Ze Wang
This map shows the geographic impact of Ze 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 Ze Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ze Wang more than expected).
Fields of papers citing papers by Ze Wang
This network shows the impact of papers produced by Ze 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 Ze Wang. The network helps show where Ze Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ze 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 | 2025 | 0 | |
| 2 | 2025 | 5 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 19 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 2 | |
| 7 | 2021 | 31 | |
| 8 | 2020 | 8 | |
| 9 | 2020 | 108 | |
| 10 | 2020 | 93 | |
| 11 | 2019 | 60 | |
| 12 | 2019 | 98 | |
| 13 | 2018 | 8 | |
| 14 | 2016 | 77 | |
| 15 | 2014 | 5 | |
| 16 | 2010 | 9 | |
| 17 | 2008 | 22 | |
| 18 | 2006 | 9 | |
| 19 | 2003 | 11 | |
| 20 | Application of diatomite filter aid to water filtration | 2000 | 1 |
About Ze Wang
Ze Wang is a scholar working on Signal Processing, Cognitive Neuroscience, Cellular and Molecular Neuroscience, Biological Psychiatry and Human-Computer Interaction, having authored 44 papers that have together received 888 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (18 papers), Blind Source Separation Techniques (10 papers), Neural dynamics and brain function (8 papers), Neuroscience and Neural Engineering (6 papers), Functional Brain Connectivity Studies (5 papers), Advanced Memory and Neural Computing (4 papers), ECG Monitoring and Analysis (3 papers) and Image and Signal Denoising Methods (3 papers). The work is most often cited by research in Cognitive Neuroscience (475 citations), Signal Processing (178 citations), Cellular and Molecular Neuroscience (242 citations), Human-Computer Interaction (66 citations) and Neurology (74 citations). Ze Wang has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Feng Wan, Chi Man Wong, Alessandro Pasquale De Rosa, Boyu Wang, Liming Zhang, Tzyy‐Ping Jung, Peng Un Mak, Mang I Vai, C. L. Philip Chen and Wenhui Zhang. Their work appears in journals such as IEEE Transactions on Neural Systems and Rehabilitation Engineering, IEEE Access, IEEE Transactions on Affective Computing, Journal of Neural Engineering and IEEE Transactions on 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.