Zechun Liu
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 2%
- Electrical and Electronic Engineering
- Biomedical Engineering
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Kwang‐Ting ChengZhiqiang ShenXin YangXiangyu ZhangJian SunZichao GuoHaoyuan MuMarios Savvides
- Topics
- Advanced Neural Network Applications (13 papers)Domain Adaptation and Few-Shot Learning (11 papers)Geology and Paleoclimatology Research (6 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Zechun Liu
42 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Computer Vision and Pattern Recognition 567
- Artificial Intelligence 537
- Electrical and Electronic Engineering 103
- Biomedical Engineering 92
- Radiology, Nuclear Medicine and Imaging 80
Countries citing papers authored by Zechun Liu
This map shows the geographic impact of Zechun Liu'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 Zechun Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zechun Liu more than expected).
Fields of papers citing papers by Zechun Liu
This network shows the impact of papers produced by Zechun Liu. 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 Zechun Liu. The network helps show where Zechun Liu may publish in the future.
Co-authorship network of co-authors of Zechun Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Zechun Liu. A scholar is included among the top collaborators of Zechun Liu 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 Zechun Liu. Zechun Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 46 | |
| 8 | 5 | |
| 9 | 16 | |
| 10 | 10 | |
| 11 | 32 | |
| 12 | 11 | |
| 13 | 13 | |
| 14 | 17 | |
| 15 | 16 | |
| 16 | Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization | 10 |
| 17 | MetaPruning: Meta Learning for Automatic Neural Network Channel Pruningbreakdown → | 318 |
| 18 | 1 | |
| 19 | 71 | |
| 20 | Discussion on Nanjing Man^s age | 7 |
About Zechun Liu
Zechun Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Atmospheric Science, having authored 48 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (13 papers), Domain Adaptation and Few-Shot Learning (11 papers) and Geology and Paleoclimatology Research (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (567 citations), Artificial Intelligence (537 citations) and Computational Mathematics (7 citations). Zechun Liu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Kwang‐Ting Cheng, Zhiqiang Shen, Xin Yang, Xiangyu Zhang, Jian Sun, Zichao Guo, Haoyuan Mu, Marios Savvides, Eric P. Xing and Jie Qin. Their work appears in journals such as Nucleic Acids Research, IEEE Transactions on Image Processing and Nano Energy.
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.