Ce Zhu
Impact in
- Computational Mathematics top 0.2%
-
- Advanced Vision and Imaging
- Advanced Image Processing Techniques
- Image and Signal Denoising Methods
- Image and Video Quality Assessment
- Advanced Data Compression Techniques
Papers in
-
- Advanced Vision and Imaging 95
- Advanced Image Processing Techniques 65
- Advanced Data Compression Techniques 54
- Image and Signal Denoising Methods 45
- Image and Video Quality Assessment 35
- Advanced Image and Video Retrieval Techniques 32
- Journals
- IEEE Transactions on Image Processing (25 papers)IEEE Transactions on Circuits and Systems for Video Technology (25 papers)IEEE Transactions on Broadcasting (17 papers)IEEE Transactions on Multimedia (13 papers)IEEE Signal Processing Letters (11 papers)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Ce Zhu
298 papers receiving 7.0k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Computational Mathematics 406
- Computer Vision and Pattern Recognition 5.2k
- Signal Processing 2.2k
- Media Technology 947
- Artificial Intelligence 1.3k
Countries citing papers authored by Ce Zhu
This map shows the geographic impact of Ce Zhu'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 Ce Zhu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ce Zhu more than expected).
Fields of papers citing papers by Ce Zhu
This network shows the impact of papers produced by Ce Zhu. 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 Ce Zhu. The network helps show where Ce Zhu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ce Zhu, 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 | 2024 | 2 | |
| 2 | 2024 | 18 | |
| 3 | 2024 | 6 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 15 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 5 | |
| 9 | 2023 | 25 | |
| 10 | 2023 | 6 | |
| 11 | 2023 | 2 | |
| 12 | 2023 | 1 | |
| 13 | 2023 | 6 | |
| 14 | 2022 | 8 | |
| 15 | 2021 | 45 | |
| 16 | 2019 | 52 | |
| 17 | 2019 | 18 | |
| 18 | 2018 | 64 | |
| 19 | 2017 | 37 | |
| 20 | 2017 | 44 |
About Ce Zhu
Ce Zhu is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition, Signal Processing, Media Technology and Computer Graphics and Computer-Aided Design, having authored 328 papers that have together received 7.2k indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (100 papers), Advanced Vision and Imaging (95 papers), Advanced Image Processing Techniques (65 papers), Advanced Data Compression Techniques (54 papers), Image and Signal Denoising Methods (45 papers), Sparse and Compressive Sensing Techniques (42 papers), Image and Video Quality Assessment (35 papers) and Advanced Image and Video Retrieval Techniques (32 papers). The work is most often cited by research in Computational Mathematics (406 citations), Computer Vision and Pattern Recognition (5.2k citations), Signal Processing (2.2k citations), Media Technology (947 citations) and Artificial Intelligence (1.3k citations). Ce Zhu has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Yipeng Liu, Lap‐Pui Chau, Xiao Lin, Yanbo Gao, Bihan Wen, Zhiyuan Zha, Xin Yuan, Jiantao Zhou, Wanqing Li and Chris Cook. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Broadcasting, IEEE Transactions on Multimedia 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.