Deguang Han
- Applied Mathematics top 0.2%
- Computer Vision and Pattern Recognition top 2%
- Mathematical Physics top 1%
- Signal Processing top 2%
- Computational Mechanics top 5%
- Co-authors
- David R. LarsonJean‐Pierre GabardoDorin Ervin DutkayQiyu SunJinsong LengQing GuJerry LopezYuanan Diao
- Topics
- Mathematical Analysis and Transform Methods (83 papers)Image and Signal Denoising Methods (30 papers)Seismic Imaging and Inversion Techniques (14 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Deguang Han
96 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 52
- Applied Mathematics 1.7k
- Computer Vision and Pattern Recognition 651
- Mathematical Physics 609
- Signal Processing 366
- Computational Mechanics 279
Countries citing papers authored by Deguang Han
This map shows the geographic impact of Deguang Han'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 Deguang Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deguang Han more than expected).
Fields of papers citing papers by Deguang Han
This network shows the impact of papers produced by Deguang Han. 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 Deguang Han. The network helps show where Deguang Han may publish in the future.
Co-authorship network of co-authors of Deguang Han
This figure shows the co-authorship network connecting the top 25 collaborators of Deguang Han. A scholar is included among the top collaborators of Deguang Han based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Deguang Han. Deguang Han is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 6 | |
| 8 | 9 | |
| 9 | 4 | |
| 10 | 61 | |
| 11 | 10 | |
| 12 | 5 | |
| 13 | 114 | |
| 14 | 29 | |
| 15 | 40 | |
| 16 | FRAME REPRESENTATIONS FOR GROUP-LIKE UNITARY OPERATOR SYSTEMS | 53 |
| 17 | 25 | |
| 18 | CONTINUITY AND LINEARITY OF ADDITIVE DERIVATIONS OF NEST ALGEBRAS ON BANACH SPACES | 9 |
| 19 | 9 | |
| 20 | 7 |
About Deguang Han
Deguang Han is a scholar working on Applied Mathematics, Mathematical Physics and Computer Vision and Pattern Recognition, having authored 106 papers that have together received 1.9k indexed citations. Recurring topics across this work include Mathematical Analysis and Transform Methods (83 papers), Image and Signal Denoising Methods (30 papers) and Seismic Imaging and Inversion Techniques (14 papers). The work is most often cited by research in Applied Mathematics (1.7k citations), Mathematical Physics (609 citations) and Signal Processing (366 citations). Deguang Han has collaborated with scholars based in United States, China and Canada. Frequent co-authors include David R. Larson, Jean‐Pierre Gabardo, Dorin Ervin Dutkay, Qiyu Sun, Jinsong Leng, Qing Gu, Jerry Lopez, Yuanan Diao, Xuchu Dai and Yang Wang. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing and IEEE Access.
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.