Qiang Song
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Media Technology top 10%
- Computer Networks and Communications
- Biomedical Engineering
- Topics
- Advanced Image Processing Techniques (7 papers)Image and Signal Denoising Methods (6 papers)Advanced Steganography and Watermarking Techniques (3 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Qiang Song
31 papers receiving 288 citations
Peers
Comparison fields: 5 of 74
- Computer Vision and Pattern Recognition 144
- Artificial Intelligence 78
- Media Technology 52
- Computer Networks and Communications 35
- Biomedical Engineering 32
Countries citing papers authored by Qiang Song
This map shows the geographic impact of Qiang 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 Qiang Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qiang Song more than expected).
Fields of papers citing papers by Qiang Song
This network shows the impact of papers produced by Qiang 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 Qiang Song. The network helps show where Qiang Song may publish in the future.
Co-authorship network of co-authors of Qiang Song
This figure shows the co-authorship network connecting the top 25 collaborators of Qiang Song. A scholar is included among the top collaborators of Qiang 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 Qiang Song. Qiang 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 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 21 | |
| 7 | An accurate relocation of the 2017 Ms 7.0 Sichuan Jiuzhaigou earthquake sequence and the seismicity analysis | 1 |
| 8 | 34 | |
| 9 | 14 | |
| 10 | 13 | |
| 11 | 7 | |
| 12 | 12 | |
| 13 | 5 | |
| 14 | 7 | |
| 15 | A HYBRID ALGORITHM BASED ON LS-SVM AND BACTERIAL FORAGING APPROACH FOR BURNING-THROUGH-POINTS(BTP)PREDICTION IN SINTERING PROCESS | 1 |
| 16 | 7 | |
| 17 | 0 | |
| 18 | Recognition of fabric organization structure based on SMO arithmetic | 1 |
| 19 | 1 | |
| 20 | 5 |
About Qiang Song
Qiang Song is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence, having authored 36 papers that have together received 301 indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (7 papers), Image and Signal Denoising Methods (6 papers) and Advanced Steganography and Watermarking Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (144 citations), Media Technology (52 citations) and Oral Surgery (29 citations). Qiang Song has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Jian Cheng, Ruiqin Xiong, Wen Sun, Dong Liu, Feng Wu, Hangfan Liu, Yan Zhang, Hanqing Lu, Chunpeng Li and Jianda Zhang. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Access and Applied Mathematical Modelling.
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.