Wei Song
- Computer Vision and Pattern Recognition top 1%
- Media Technology top 1%
- Experimental and Cognitive Psychology top 5%
- Oceanography top 5%
- Artificial Intelligence top 5%
- Co-authors
- Antonio LiottaYan WangDongmei HuangDian TjondronegoroCristian PerraMinghua ZhangWenqiang ZhangShuyong Gao
- Topics
- Advanced Vision and Imaging (11 papers)Image and Video Quality Assessment (11 papers)Image Enhancement Techniques (10 papers)
In The Last Decade
Wei Song
110 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Computer Vision and Pattern Recognition 1.1k
- Media Technology 308
- Experimental and Cognitive Psychology 224
- Oceanography 222
- Artificial Intelligence 202
Countries citing papers authored by Wei Song
This map shows the geographic impact of Wei Song'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 Wei Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Song more than expected).
Fields of papers citing papers by Wei Song
This network shows the impact of papers produced by Wei Song. 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 Wei Song. The network helps show where Wei Song may publish in the future.
Co-authorship network of co-authors of Wei Song
This figure shows the co-authorship network connecting the top 25 collaborators of Wei Song. A scholar is included among the top collaborators of Wei Song 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 Wei Song. Wei Song 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 | 2 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 3 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 5 | |
| 11 | 9 | |
| 12 | 30 | |
| 13 | 1 | |
| 14 | Enhancement of Underwater Images With Statistical Model of Background Light and Optimization of Transmission Mapbreakdown → | 249 |
| 15 | 21 | |
| 16 | 11 | |
| 17 | 196 | |
| 18 | 7 | |
| 19 | UniNav: A context-aware mobile application for university campus maps | 4 |
| 20 | Standing/walking stabilization of humanoid robot by visual servoing concept through online-visual-pose-estimation | 0 |
About Wei Song
Wei Song is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Human-Computer Interaction, having authored 127 papers that have together received 2.0k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (11 papers), Image and Video Quality Assessment (11 papers) and Image Enhancement Techniques (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Media Technology (308 citations) and Oceanography (222 citations). Wei Song has collaborated with scholars based in China, Italy and Australia. Frequent co-authors include Antonio Liotta, Yan Wang, Dongmei Huang, Dian Tjondronegoro, Cristian Perra, Minghua Zhang, Wenqiang Zhang, Shuyong Gao, Giancarlo Fortino and Lizhe Qi. Their work appears in journals such as PLoS ONE, IEEE Transactions on Geoscience and Remote Sensing and Proceedings of the Royal Society B Biological Sciences.
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.