Delu Zeng
- Computer Vision and Pattern Recognition top 0.2%
- Media Technology top 0.1%
- Atomic and Molecular Physics, and Optics top 10%
- Biomedical Engineering
- Artificial Intelligence
- Co-authors
- Xinghao DingYue HuangXueyang FuJohn PaisleyXiao–Ping ZhangYinghao LiaoJia‐Bin HuangLiming Ling
- Topics
- Image Enhancement Techniques (16 papers)Advanced Image Fusion Techniques (14 papers)Image and Signal Denoising Methods (12 papers)
- Cited by
- Media TechnologyComputer Vision and Pattern RecognitionComputer Graphics and Computer-Aided Design
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Delu Zeng
61 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Computer Vision and Pattern Recognition 2.9k
- Media Technology 1.4k
- Atomic and Molecular Physics, and Optics 211
- Biomedical Engineering 140
- Artificial Intelligence 89
Countries citing papers authored by Delu Zeng
This map shows the geographic impact of Delu Zeng'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 Delu Zeng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Delu Zeng more than expected).
Fields of papers citing papers by Delu Zeng
This network shows the impact of papers produced by Delu Zeng. 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 Delu Zeng. The network helps show where Delu Zeng may publish in the future.
Co-authorship network of co-authors of Delu Zeng
This figure shows the co-authorship network connecting the top 25 collaborators of Delu Zeng. A scholar is included among the top collaborators of Delu Zeng 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 Delu Zeng. Delu Zeng 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 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 23 | |
| 11 | 23 | |
| 12 | 1 | |
| 13 | 6 | |
| 14 | 11 | |
| 15 | 2 | |
| 16 | 3 | |
| 17 | Removing Rain from Single Images via a Deep Detail Networkbreakdown → | 796 |
| 18 | 12 | |
| 19 | 7 | |
| 20 | 3 |
About Delu Zeng
Delu Zeng is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computational Mathematics, having authored 67 papers that have together received 3.2k indexed citations. Recurring topics across this work include Image Enhancement Techniques (16 papers), Advanced Image Fusion Techniques (14 papers) and Image and Signal Denoising Methods (12 papers). The work is most often cited by research in Media Technology (1.4k citations), Computer Vision and Pattern Recognition (2.9k citations) and Computer Graphics and Computer-Aided Design (72 citations). Delu Zeng has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Xinghao Ding, Yue Huang, Xueyang Fu, John Paisley, Xiao–Ping Zhang, Yinghao Liao, Jia‐Bin Huang, Liming Ling, Jiye Wang and Pengfei Guo. Their work appears in journals such as IEEE Transactions on Image Processing, Carbohydrate Polymers and Expert Systems with Applications.
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.