Dehui Yang
Impact in
- Signal Processing top 10%
- Blind Source Separation Techniques
- Computational Mechanics top 5%
- Sparse and Compressive Sensing Techniques
Papers in
-
- Sparse and Compressive Sensing Techniques 7
-
- Microwave Imaging and Scattering Analysis 3
- Photoacoustic and Ultrasonic Imaging 3
- Co-authors
- Michael B. Wakin (7 shared papers)Gongguo Tang (4 shared papers)Zhihui Zhu (4 shared papers)Liping Chang (1 shared paper)Huang Bai (1 shared paper)Gang Li (1 shared paper)Shenghua Ma (2 shared papers)Gang Wang (2 shared papers)
- Journals
- IEEE Transactions on Signal Processing (2 papers)Vacuum (1 paper)IEEE Geoscience and Remote Sensing Letters (1 paper)New Journal of Chemistry (1 paper)IEEE Transactions on Information Theory (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Dehui Yang
16 papers receiving 361 citations
Peers
Comparison fields: 5 of 51
- Signal Processing 95
- Computational Mechanics 182
- Acoustics and Ultrasonics 7
- Electrical and Electronic Engineering 166
- Computer Vision and Pattern Recognition 57
Countries citing papers authored by Dehui Yang
This map shows the geographic impact of Dehui Yang'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 Dehui Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dehui Yang more than expected).
Fields of papers citing papers by Dehui Yang
This network shows the impact of papers produced by Dehui Yang. 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 Dehui Yang. The network helps show where Dehui Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Dehui Yang, 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 | 2013 | 135 | |
| 2 | 2023 | 64 | |
| 3 | 2016 | 53 | |
| 4 | 2018 | 51 | |
| 5 | 2023 | 28 | |
| 6 | 2021 | 17 | |
| 7 | 2024 | 3 | |
| 8 | 2017 | 3 | |
| 9 | 2017 | 3 | |
| 10 | 2023 | 2 | |
| 11 | 2016 | 2 | |
| 12 | 2016 | 2 | |
| 13 | 2017 | 2 | |
| 14 | 2025 | 1 | |
| 15 | 2022 | 1 | |
| 16 | 2011 | 1 | |
| 17 | 2025 | 0 |
About Dehui Yang
Dehui Yang is a scholar working on Computational Mechanics, Biomedical Engineering, Electrical and Electronic Engineering, Civil and Structural Engineering and Signal Processing, having authored 17 papers that have together received 368 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (7 papers), Microwave Imaging and Scattering Analysis (3 papers), Structural Health Monitoring Techniques (3 papers), Advancements in Battery Materials (3 papers), Photoacoustic and Ultrasonic Imaging (3 papers), Advanced Battery Materials and Technologies (2 papers), Supercapacitor Materials and Fabrication (2 papers) and Blind Source Separation Techniques (2 papers). The work is most often cited by research in Signal Processing (95 citations), Computational Mechanics (182 citations), Acoustics and Ultrasonics (7 citations), Electrical and Electronic Engineering (166 citations) and Computer Vision and Pattern Recognition (57 citations). Dehui Yang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Michael B. Wakin, Gongguo Tang, Zhihui Zhu, Liping Chang, Huang Bai, Gang Li, Shenghua Ma, Gang Wang, Guanghui Yuan and Hui Wang. Their work appears in journals such as IEEE Transactions on Signal Processing, Vacuum, IEEE Geoscience and Remote Sensing Letters, New Journal of Chemistry and IEEE Transactions on Information Theory.
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.