Bing Zeng
Impact in
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- Advanced Vision and Imaging
- Advanced Image Processing Techniques
- Advanced Data Compression Techniques
- Image and Signal Denoising Methods
- Image Enhancement Techniques
- Image and Video Quality Assessment
- Advanced Image and Video Retrieval Techniques
- Signal Processing top 0.2%
- Video Coding and Compression Technologies
Papers in
-
- Advanced Vision and Imaging 90
- Advanced Image Processing Techniques 72
- Advanced Data Compression Techniques 71
- Image and Signal Denoising Methods 61
- Image Enhancement Techniques 29
- Advanced Image and Video Retrieval Techniques 24
-
- Video Coding and Compression Technologies 71
- Digital Filter Design and Implementation 34
Bing Zeng
328 papers receiving 6.5k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Computer Vision and Pattern Recognition 4.1k
- Signal Processing 1.8k
- Media Technology 699
- Computational Mathematics 36
- Computer Graphics and Computer-Aided Design 147
Countries citing papers authored by Bing Zeng
This map shows the geographic impact of Bing 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 Bing Zeng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Zeng more than expected).
Fields of papers citing papers by Bing Zeng
This network shows the impact of papers produced by Bing 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 Bing Zeng. The network helps show where Bing Zeng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bing Zeng, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 15 | |
| 4 | 2024 | 6 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 5 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 1 | |
| 9 | 2023 | 17 | |
| 10 | 2023 | 0 | |
| 11 | 2023 | 15 | |
| 12 | 2023 | 2 | |
| 13 | 2023 | 11 | |
| 14 | 2023 | 5 | |
| 15 | 2023 | 2 | |
| 16 | 2022 | 7 | |
| 17 | 2022 | 2 | |
| 18 | 2021 | 13 | |
| 19 | 2018 | 35 | |
| 20 | Adaptive Distributed Compressed Video Sensing | 2014 | 12 |
About Bing Zeng
Bing Zeng is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Computational Mathematics, Media Technology and Computer Graphics and Computer-Aided Design, having authored 352 papers that have together received 6.8k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (90 papers), Advanced Image Processing Techniques (72 papers), Advanced Data Compression Techniques (71 papers), Video Coding and Compression Technologies (71 papers), Image and Signal Denoising Methods (61 papers), Digital Filter Design and Implementation (34 papers), Image Enhancement Techniques (29 papers) and Advanced Image and Video Retrieval Techniques (24 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (4.1k citations), Signal Processing (1.8k citations), Media Technology (699 citations), Computational Mathematics (36 citations) and Computer Graphics and Computer-Aided Design (147 citations). Bing Zeng has collaborated with scholars based in China, Hong Kong and Finland. Frequent co-authors include M.L. Liou, Yang Hu, Yan Chen, Shuaicheng Liu, Shuyuan Zhu, Moncef Gabbouj, Chengrun Qiu, Jingjing Fu, Guanghui Liu and Chen Chen. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Image Processing, IEEE Signal Processing Letters, IEEE Transactions on Multimedia 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.