Weifeng Liu
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 1%
- Computational Mechanics top 0.5%
- Signal Processing top 0.5%
- Media Technology top 0.5%
- Co-authors
- José C. Prı́ncipeDapeng TaoPuskal P. PokharelJun ChengSimon HaykinDacheng TaoYanjiang WangIl Memming Park
- Topics
- Domain Adaptation and Few-Shot Learning (40 papers)Advanced Image and Video Retrieval Techniques (35 papers)Remote-Sensing Image Classification (34 papers)
- Partner nations
- ChinaMacaoUnited States
In The Last Decade
Weifeng Liu
224 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 176
- Computer Vision and Pattern Recognition 1.7k
- Artificial Intelligence 1.4k
- Computational Mechanics 1.2k
- Signal Processing 1.1k
- Media Technology 496
Countries citing papers authored by Weifeng Liu
This map shows the geographic impact of Weifeng 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 Weifeng Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weifeng Liu more than expected).
Fields of papers citing papers by Weifeng Liu
This network shows the impact of papers produced by Weifeng 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 Weifeng Liu. The network helps show where Weifeng Liu may publish in the future.
Co-authorship network of co-authors of Weifeng Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Weifeng Liu. A scholar is included among the top collaborators of Weifeng 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 Weifeng Liu. Weifeng 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 | 0 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 6 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | 0 | |
| 11 | 0 | |
| 12 | 1 | |
| 13 | 6 | |
| 14 | 2 | |
| 15 | 5 | |
| 16 | 22 | |
| 17 | 3 | |
| 18 | 6 | |
| 19 | Sparse Canonicial Correlation Analysis for Mobile Media Recognition on the Cloud. | 1 |
| 20 | Feasibility Research On The Application Of Road Status Public Report In Traffic Information Service System | 0 |
About Weifeng Liu
Weifeng Liu is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 252 papers that have together received 4.7k indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (40 papers), Advanced Image and Video Retrieval Techniques (35 papers) and Remote-Sensing Image Classification (34 papers). The work is most often cited by research in Signal Processing (1.1k citations), Computer Vision and Pattern Recognition (1.7k citations) and Computational Mechanics (1.2k citations). Weifeng Liu has collaborated with scholars based in China, Macao and United States. Frequent co-authors include José C. Prı́ncipe, Dapeng Tao, Puskal P. Pokharel, Jun Cheng, Simon Haykin, Dacheng Tao, Yanjiang Wang, Il Memming Park, Baodi Liu and Xinghao Yang. Their work appears in journals such as Environmental Science & Technology, Gastroenterology and PLoS ONE.
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.