Qing Song
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Civil and Structural Engineering
- Media Technology top 10%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Mengjie HuLu YangChun LiuZhihui WangFan YangMin YangHaotian WangHezheng Lin
- Topics
- Advanced Neural Network Applications (12 papers)Human Pose and Action Recognition (4 papers)Video Surveillance and Tracking Methods (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Geoscience and Remote SensingIEEE Transactions on Image Processing
- Partner nations
- ChinaAustraliaSwitzerland
In The Last Decade
Qing Song
24 papers receiving 335 citations
Peers
Comparison fields: 5 of 63
- Computer Vision and Pattern Recognition 197
- Artificial Intelligence 56
- Civil and Structural Engineering 55
- Media Technology 49
- Radiology, Nuclear Medicine and Imaging 34
Countries citing papers authored by Qing Song
This map shows the geographic impact of Qing 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 Qing Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qing Song more than expected).
Fields of papers citing papers by Qing Song
This network shows the impact of papers produced by Qing 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 Qing Song. The network helps show where Qing Song may publish in the future.
Co-authorship network of co-authors of Qing Song
This figure shows the co-authorship network connecting the top 25 collaborators of Qing Song. A scholar is included among the top collaborators of Qing 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 Qing Song. Qing 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 | 1 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 11 | |
| 8 | 35 | |
| 9 | 15 | |
| 10 | 17 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 8 | |
| 14 | 33 | |
| 15 | 1 | |
| 16 | High-speed Railway Fastener Detection and Localization System | 2 |
| 17 | 27 | |
| 18 | 1 | |
| 19 | 8 | |
| 20 | 4 |
About Qing Song
Qing Song is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computer Graphics and Computer-Aided Design, having authored 28 papers that have together received 341 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (12 papers), Human Pose and Action Recognition (4 papers) and Video Surveillance and Tracking Methods (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (197 citations), Media Technology (49 citations) and Civil and Structural Engineering (55 citations). Qing Song has collaborated with scholars based in China, Australia and Switzerland. Frequent co-authors include Mengjie Hu, Lu Yang, Chun Liu, Zhihui Wang, Fan Yang, Min Yang, Chun Liu, Haotian Wang, Hezheng Lin and Wenjie Gao. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing 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.