Deyun Wei
Impact in
- Applied Mathematics top 0.5%
- Mathematical Analysis and Transform Methods
- Algebraic and Geometric Analysis
-
- Image and Signal Denoising Methods
- Chaos-based Image/Signal Encryption
- Advanced Steganography and Watermarking Techniques
Papers in
-
- Image and Signal Denoising Methods 41
- Chaos-based Image/Signal Encryption 7
- Advanced Steganography and Watermarking Techniques 5
- Advanced Image Processing Techniques 4
-
- Mathematical Analysis and Transform Methods 39
- Co-authors
- Yuanmin Li (24 shared papers)Yijie Zhang (2 shared papers)Liying Tan (4 shared papers)Jing Ma (3 shared papers)Huimin Hu (2 shared papers)Yi Shen (3 shared papers)Yong Li (1 shared paper)Wenwen Yang (1 shared paper)
- Journals
- Optik (15 papers)Signal Processing (6 papers)Digital Signal Processing (5 papers)IEEE Transactions on Signal Processing (5 papers)IEEE Signal Processing Letters (3 papers)
- Partner nations
- China
In The Last Decade
Deyun Wei
57 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 61
- Applied Mathematics 802
- Computer Vision and Pattern Recognition 1.0k
- Signal Processing 541
- Control and Systems Engineering 153
- Media Technology 53
Countries citing papers authored by Deyun Wei
This map shows the geographic impact of Deyun Wei'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 Deyun Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deyun Wei more than expected).
Fields of papers citing papers by Deyun Wei
This network shows the impact of papers produced by Deyun Wei. 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 Deyun Wei. The network helps show where Deyun Wei may publish in the future.
Co-authors
The 18 scholars most cited alongside Deyun Wei, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 119 | |
| 2 | 2022 | 81 | |
| 3 | 2019 | 76 | |
| 4 | 2011 | 71 | |
| 5 | 2021 | 69 | |
| 6 | 2014 | 55 | |
| 7 | 2014 | 48 | |
| 8 | 2019 | 46 | |
| 9 | 2011 | 44 | |
| 10 | 2015 | 42 | |
| 11 | 2011 | 39 | |
| 12 | 2021 | 39 | |
| 13 | 2022 | 35 | |
| 14 | 2016 | 34 | |
| 15 | 2016 | 32 | |
| 16 | 2011 | 29 | |
| 17 | 2011 | 27 | |
| 18 | 2015 | 26 | |
| 19 | 2021 | 22 | |
| 20 | 2023 | 21 |
About Deyun Wei
Deyun Wei is a scholar working on Computer Vision and Pattern Recognition, Applied Mathematics, Signal Processing, Control and Systems Engineering and Artificial Intelligence, having authored 60 papers that have together received 1.3k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (41 papers), Mathematical Analysis and Transform Methods (39 papers), Digital Filter Design and Implementation (27 papers), Chaos-based Image/Signal Encryption (7 papers), Machine Fault Diagnosis Techniques (6 papers), Advanced Graph Neural Networks (6 papers), Advanced Steganography and Watermarking Techniques (5 papers) and Advanced Image Processing Techniques (4 papers). The work is most often cited by research in Applied Mathematics (802 citations), Computer Vision and Pattern Recognition (1.0k citations), Signal Processing (541 citations), Control and Systems Engineering (153 citations) and Media Technology (53 citations). Deyun Wei has collaborated with scholars based in China. Frequent co-authors include Yuanmin Li, Yijie Zhang, Liying Tan, Jing Ma, Huimin Hu, Yi Shen, Yong Li, Wenwen Yang, Wei Zhang and Xiyang Zhi. Their work appears in journals such as Optik, Signal Processing, Digital Signal Processing, IEEE Transactions on Signal Processing and IEEE Signal Processing Letters.
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.