Huafeng Liu
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- Medical Image Segmentation Techniques 11
- Advanced Neural Network Applications 11
- Video Surveillance and Tracking Methods 4
- Media Technology top 10%
- Artificial Intelligence top 10%
- Machine Learning and Data Classification 5
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- Medical Imaging Techniques and Applications 3
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- Elasticity and Material Modeling 6
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- Advanced Numerical Analysis Techniques 4
- 3D Shape Modeling and Analysis 4
- Co-authors
- Yazhou YaoZhenmin TangQiong WangXian‐Sheng HuaJianfeng LuTao ChenPai PengZeren Sun
- Journals
- Physics in Medicine and Biology (1 paper)Journal of Machine Learning Research (1 paper)Signal Processing (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Huafeng Liu
32 papers receiving 288 citations
Peers
Comparison fields: 5 of 58
- Computer Vision and Pattern Recognition 171
- Media Technology 41
- Artificial Intelligence 118
- Computer Graphics and Computer-Aided Design 9
- Radiology, Nuclear Medicine and Imaging 56
Countries citing papers authored by Huafeng Liu
This map shows the geographic impact of Huafeng 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 Huafeng Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huafeng Liu more than expected).
Fields of papers citing papers by Huafeng Liu
This network shows the impact of papers produced by Huafeng 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 Huafeng Liu. The network helps show where Huafeng Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Huafeng Liu, 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 | 2 | |
| 3 | 2023 | 1 | |
| 4 | 2021 | 19 | |
| 5 | 2021 | 26 | |
| 6 | 2021 | 6 | |
| 7 | Interpretable Deep Generative Recommendation Models | 2021 | 9 |
| 8 | 2021 | 5 | |
| 9 | 2021 | 9 | |
| 10 | 2020 | 21 | |
| 11 | 2008 | 8 | |
| 12 | 2007 | 3 | |
| 13 | 2005 | 1 | |
| 14 | 2005 | 0 | |
| 15 | 2005 | 5 | |
| 16 | 2005 | 8 | |
| 17 | Spatiotemporal Curve Evolution for Simultaneous Shape and Motion Recovery | 2004 | 1 |
| 18 | 2004 | 3 | |
| 19 | 2003 | 3 | |
| 20 | Velocity Field Constrained Front Propagation for Segmentation of Cardiac Images | 2002 | 1 |
About Huafeng Liu
Huafeng Liu is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computational Mechanics, having authored 33 papers that have together received 295 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (11 papers), Advanced Neural Network Applications (11 papers), Elasticity and Material Modeling (6 papers), Machine Learning and Data Classification (5 papers), Advanced Numerical Analysis Techniques (4 papers), Video Surveillance and Tracking Methods (4 papers), 3D Shape Modeling and Analysis (4 papers) and Medical Imaging Techniques and Applications (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (171 citations), Media Technology (41 citations) and Artificial Intelligence (118 citations). Huafeng Liu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Yazhou Yao, Zhenmin Tang, Qiong Wang, Xian‐Sheng Hua, Jianfeng Lu, Tao Chen, Pai Peng, Zeren Sun, Pengcheng Shi and Jiacheng Zhang. Their work appears in journals such as Physics in Medicine and Biology, Journal of Machine Learning Research and Signal Processing.
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.