Song Wang
Impact in
-
- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Human Pose and Action Recognition
- Medical Image Segmentation Techniques
- Software top 1%
Papers in
-
- Advanced Image and Video Retrieval Techniques 58
- Video Surveillance and Tracking Methods 55
- Medical Image Segmentation Techniques 44
- Human Pose and Action Recognition 43
- Image Retrieval and Classification Techniques 40
- Advanced Neural Network Applications 32
- Advanced Vision and Imaging 21
- Journals
- IEEE Transactions on Image Processing (16 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (11 papers)International Journal of Computer Vision (8 papers)Pattern Recognition Letters (7 papers)IEEE Transactions on Multimedia (5 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Song Wang
303 papers receiving 8.0k citations
Hit Papers
Peers
Comparison fields: 5 of 188
- Computer Vision and Pattern Recognition 4.5k
- Software 379
- Media Technology 719
- Civil and Structural Engineering 1.5k
- Artificial Intelligence 1.4k
Countries citing papers authored by Song Wang
This map shows the geographic impact of Song Wang'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 Song Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Song Wang more than expected).
Fields of papers citing papers by Song Wang
This network shows the impact of papers produced by Song Wang. 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 Song Wang. The network helps show where Song Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Song Wang, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 0 | |
| 11 | 2024 | 1 | |
| 12 | 2024 | 0 | |
| 13 | 2023 | 1 | |
| 14 | 2023 | 8 | |
| 15 | 2023 | 7 | |
| 16 | 2023 | 1 | |
| 17 | 2021 | 31 | |
| 18 | 2021 | 75 | |
| 19 | 2020 | 110 | |
| 20 | 2019 | 164 |
About Song Wang
Song Wang is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Artificial Intelligence, Space and Planetary Science and Computer Graphics and Computer-Aided Design, having authored 334 papers that have together received 8.2k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (58 papers), Video Surveillance and Tracking Methods (55 papers), Medical Image Segmentation Techniques (44 papers), Human Pose and Action Recognition (43 papers), Image Retrieval and Classification Techniques (40 papers), Advanced Neural Network Applications (32 papers), Advanced Vision and Imaging (21 papers) and Anomaly Detection Techniques and Applications (21 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (4.5k citations), Software (379 citations), Media Technology (719 citations), Civil and Structural Engineering (1.5k citations) and Artificial Intelligence (1.4k citations). Song Wang has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Qin Zou, Qingquan Li, Wei Feng, Yu Cao, Qingzhou Mao, Jeffrey Mark Siskind, Lin Tan, Zheng Zhang, Qian Wang and Qing Guo. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision, Pattern Recognition Letters and IEEE Transactions on Multimedia.
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.