Hui Feng
- Computer Vision and Pattern Recognition top 5%
- Molecular Biology
- Cancer Research top 10%
- Artificial Intelligence top 10%
- Oncology
- Co-authors
- Yalei WangMinghui YangPeng WuDi-Xiu XueWeiyan YaoWenjing PangRong ZhangHaixiang Xu
- Topics
- Advanced Steganography and Watermarking Techniques (9 papers)Maritime Navigation and Safety (8 papers)Chaos-based Image/Signal Encryption (6 papers)
- Partner nations
- ChinaUnited KingdomSingapore
In The Last Decade
Hui Feng
58 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Computer Vision and Pattern Recognition 325
- Molecular Biology 276
- Cancer Research 245
- Artificial Intelligence 164
- Oncology 115
Countries citing papers authored by Hui Feng
This map shows the geographic impact of Hui Feng'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 Hui Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui Feng more than expected).
Fields of papers citing papers by Hui Feng
This network shows the impact of papers produced by Hui Feng. 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 Hui Feng. The network helps show where Hui Feng may publish in the future.
Co-authorship network of co-authors of Hui Feng
This figure shows the co-authorship network connecting the top 25 collaborators of Hui Feng. A scholar is included among the top collaborators of Hui Feng 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 Hui Feng. Hui Feng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 22 | |
| 8 | 13 | |
| 9 | 22 | |
| 10 | 10 | |
| 11 | 4 | |
| 12 | Adaptive Group Bias Thrust Allocation Algorithm Based on Energy Optimization | 2 |
| 13 | Research on Autonomous Path Planning of Unmanned Surface Vehicle in Ocean Environment | 1 |
| 14 | 15 | |
| 15 | 11 | |
| 16 | 33 | |
| 17 | Research on Thrust Allocation Algorithm Based on Group Biasing Strategy | 1 |
| 18 | 85 | |
| 19 | 104 | |
| 20 | Object-oriented Image Classification Analysis and Evaluation | 10 |
About Hui Feng
Hui Feng is a scholar working on Computer Vision and Pattern Recognition, Ocean Engineering and Pollution, having authored 61 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (9 papers), Maritime Navigation and Safety (8 papers) and Chaos-based Image/Signal Encryption (6 papers). The work is most often cited by research in Cancer Research (245 citations), Computer Vision and Pattern Recognition (325 citations) and Media Technology (69 citations). Hui Feng has collaborated with scholars based in China, United Kingdom and Singapore. Frequent co-authors include Yalei Wang, Minghui Yang, Peng Wu, Di-Xiu Xue, Weiyan Yao, Wenjing Pang, Rong Zhang, Haixiang Xu, Shuzhi Sam Ge and Xin Dai. Their work appears in journals such as PLoS ONE, Free Radical Biology and Medicine and IEEE Transactions on Image 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.