Weibei Dou
- Neurology top 10%
-
- Medical Image Segmentation Techniques 7
- Advanced Data Compression Techniques 7
- Signal Processing top 10%
- Speech and Audio Processing 10
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies 14
- EEG and Brain-Computer Interfaces 12
- Neural dynamics and brain function 10
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- Advanced MRI Techniques and Applications 10
- Advanced Neuroimaging Techniques and Applications 9
- Co-authors
- Jean‐Marc ConstansSu RuanD. BloyetYanping ChenYu PanLiming ChenZhongzhe XiaoEmmanuel Dellandréa
- Journals
- Frontiers in Neurology (3 papers)IEEE Transactions on Neural Systems and Rehabilitation Engineering (2 papers)Frontiers in Neuroscience (2 papers)
- Partner nations
- ChinaFranceUnited States
In The Last Decade
Weibei Dou
58 papers receiving 559 citations
Peers
Comparison fields: 5 of 96
- Neurology 117
- Computer Vision and Pattern Recognition 219
- Signal Processing 92
- Cognitive Neuroscience 135
- Experimental and Cognitive Psychology 59
Countries citing papers authored by Weibei Dou
This map shows the geographic impact of Weibei Dou'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 Weibei Dou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weibei Dou more than expected).
Fields of papers citing papers by Weibei Dou
This network shows the impact of papers produced by Weibei Dou. 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 Weibei Dou. The network helps show where Weibei Dou may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Weibei Dou, 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 | 2023 | 1 | |
| 2 | 2023 | 0 | |
| 3 | 2022 | 9 | |
| 4 | 2022 | 8 | |
| 5 | 2022 | 3 | |
| 6 | 2021 | 8 | |
| 7 | 2020 | 48 | |
| 8 | 2019 | 3 | |
| 9 | 2018 | 5 | |
| 10 | 2017 | 18 | |
| 11 | 2016 | 4 | |
| 12 | 2015 | 7 | |
| 13 | 2015 | 2 | |
| 14 | 2015 | 8 | |
| 15 | 2015 | 2 | |
| 16 | 2014 | 19 | |
| 17 | 2011 | 3 | |
| 18 | 2010 | 3 | |
| 19 | Optimization of fixed-point operation of MPEG-2 AAC decoder | 2007 | 1 |
| 20 | 2006 | 35 |
About Weibei Dou
Weibei Dou is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Neurology and Radiology, Nuclear Medicine and Imaging, having authored 65 papers that have together received 596 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (14 papers), EEG and Brain-Computer Interfaces (12 papers), Speech and Audio Processing (10 papers), Neural dynamics and brain function (10 papers), Advanced MRI Techniques and Applications (10 papers), Advanced Neuroimaging Techniques and Applications (9 papers), Medical Image Segmentation Techniques (7 papers) and Advanced Data Compression Techniques (7 papers). The work is most often cited by research in Neurology (117 citations), Computer Vision and Pattern Recognition (219 citations), Signal Processing (92 citations), Cognitive Neuroscience (135 citations) and Experimental and Cognitive Psychology (59 citations). Weibei Dou has collaborated with scholars based in China, France and United States. Frequent co-authors include Jean‐Marc Constans, Su Ruan, D. Bloyet, Yanping Chen, Yu Pan, Liming Chen, Zhongzhe Xiao, Emmanuel Dellandréa, Yidong Huang and Shu‐Hua Zhang. Their work appears in journals such as Frontiers in Neurology, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Frontiers in Neuroscience, Optics Express and World Neurosurgery.
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.