Cheng-Ze Lu
Impact in
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- Advanced Neural Network Applications
- Advanced Image Processing Techniques
- Advanced Vision and Imaging
- Generative Adversarial Networks and Image Synthesis
- Image Enhancement Techniques
- Image and Signal Denoising Methods
- Media Technology top 2%
- Advanced Image Fusion Techniques
- Remote-Sensing Image Classification
Papers in
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- Advanced Vision and Imaging 2
- Advanced Image Processing Techniques 2
- Advanced Neural Network Applications 2
- Advanced Image and Video Retrieval Techniques 1
- Multimodal Machine Learning Applications 1
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- Historical Astronomy and Related Studies 1
- Co-authors
- Ming‐Ming Cheng (4 shared papers)Zheng-Ning Liu (1 shared paper)Shi‐Min Hu (1 shared paper)Meng-Hao Guo (2 shared papers)Jiashi Feng (2 shared papers)Qibin Hou (2 shared papers)Chunle Guo (1 shared paper)Jianhua Qin (1 shared paper)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (2 papers)Remote Sensing (1 paper)Computational Visual Media (1 paper)International Journal of Pure and Apllied Mathematics (1 paper)Lunar and Planetary Science Conference (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Cheng-Ze Lu
7 papers receiving 736 citations
Cheng-Ze Lu's Hit Papers
Peers
Comparison fields: 5 of 94
- Computer Vision and Pattern Recognition 477
- Media Technology 158
- Computer Graphics and Computer-Aided Design 21
- Artificial Intelligence 157
- Industrial and Manufacturing Engineering 46
Countries citing papers authored by Cheng-Ze Lu
This map shows the geographic impact of Cheng-Ze Lu'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 Cheng-Ze Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cheng-Ze Lu more than expected).
Fields of papers citing papers by Cheng-Ze Lu
This network shows the impact of papers produced by Cheng-Ze Lu. 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 Cheng-Ze Lu. The network helps show where Cheng-Ze Lu may publish in the future.
Co-authors
The 15 scholars most cited alongside Cheng-Ze Lu, 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 | Visual attention network Hit paper breakdown → | 2023 | 529 |
| 2 | 2022 | 88 | |
| 3 | 2023 | 74 | |
| 4 | Conv2Former: A Simple Transformer-Style ConvNet for Visual Recognition Hit paper breakdown → | 2024 | 62 |
| 5 | 2025 | 2 | |
| 6 | 2009 | 2 | |
| 7 | 2013 | 1 | |
| 8 | 2022 | 0 |
About Cheng-Ze Lu
Cheng-Ze Lu is a scholar working on Computer Vision and Pattern Recognition, Astronomy and Astrophysics, Artificial Intelligence, Computational Theory and Mathematics and Media Technology, having authored 8 papers that have together received 758 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (2 papers), Advanced Image Processing Techniques (2 papers), Advanced Neural Network Applications (2 papers), Advanced Image and Video Retrieval Techniques (1 paper), Advanced Image Fusion Techniques (1 paper), Computability, Logic, AI Algorithms (1 paper), Multimodal Machine Learning Applications (1 paper) and Historical Astronomy and Related Studies (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (477 citations), Media Technology (158 citations), Computer Graphics and Computer-Aided Design (21 citations), Artificial Intelligence (157 citations) and Industrial and Manufacturing Engineering (46 citations). Cheng-Ze Lu has collaborated with scholars based in China and United States. Frequent co-authors include Ming‐Ming Cheng, Zheng-Ning Liu, Shi‐Min Hu, Meng-Hao Guo, Jiashi Feng, Qibin Hou, Chunle Guo, Jianhua Qin, Zhen Li and Dongmei Fu. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Remote Sensing, Computational Visual Media, International Journal of Pure and Apllied Mathematics and Lunar and Planetary Science Conference.
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.