Ce Zhu

11.5k citations
328 papers · 7.2k indexed · 4 hit papers · h-index 46

Impact in

Papers in

Ce Zhu

298 papers receiving 7.0k citations

Hit Papers

Real-world single image super-resolution: A brief review 2021 · 229 citations
2292002202620102018100200300400500

Peers

Ce Zhu
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
Replace A.N. Venetsanopoulos with:
A.N. Venetsanopoulos Canada
Yiu‐ming Cheung Hong Kong
Francis Bach France
Weiming Hu China
Amnon Shashua Israel
Yicong Zhou Macao
Guangcan Liu China
Chenggang Yan China
Yuan Xie China
Lunke Fei China
Ce Zhu relative to A.N. Venetsanopoulos Canada A.N. Venetsanopoulos's profile →
Citations per field
00.5×11.9×
A.N. Venetsanopoulos · 1×
Citations per year

Countries citing papers authored by Ce Zhu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ce Zhu Line = papers co-authored together Ce Zhu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20242
2 202418
3 20246
4 20240
5 202415
6 20232
7 20230
8 20235
9 202325
10 20236
11 20232
12 20231
13 20236
14 20228
15 202145
16 201952
17 201918
18 201864
19 201737
20 201744

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.

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