Qiang Song
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- Advanced Image Processing Techniques 7
- Image and Signal Denoising Methods 6
- Advanced Steganography and Watermarking Techniques 3
- Image Retrieval and Classification Techniques 3
- Advanced Vision and Imaging 3
- Advanced Image and Video Retrieval Techniques 3
- Media Technology top 10%
- Oral Surgery top 10%
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- Recommender Systems and Techniques 3
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- Target Tracking and Data Fusion in Sensor Networks 3
- Journals
- IEEE Transactions on Image Processing (2 papers)IEEE Access (1 paper)Applied Mathematical Modelling (1 paper)
- 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
- Media Technology 52
- Oral Surgery 29
- Computational Mathematics 2
- General Dentistry 6
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
The 25 scholars most cited alongside Qiang Song, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2022 | 5 | |
| 6 | 2020 | 21 | |
| 7 | An accurate relocation of the 2017 Ms 7.0 Sichuan Jiuzhaigou earthquake sequence and the seismicity analysis | 2019 | 1 |
| 8 | 2018 | 34 | |
| 9 | 2017 | 14 | |
| 10 | 2016 | 13 | |
| 11 | 2015 | 7 | |
| 12 | 2015 | 12 | |
| 13 | 2015 | 5 | |
| 14 | 2014 | 7 | |
| 15 | A HYBRID ALGORITHM BASED ON LS-SVM AND BACTERIAL FORAGING APPROACH FOR BURNING-THROUGH-POINTS(BTP)PREDICTION IN SINTERING PROCESS | 2013 | 1 |
| 16 | 2013 | 7 | |
| 17 | 2010 | 0 | |
| 18 | Recognition of fabric organization structure based on SMO arithmetic | 2009 | 1 |
| 19 | 2009 | 1 | |
| 20 | 2009 | 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), Advanced Steganography and Watermarking Techniques (3 papers), Recommender Systems and Techniques (3 papers), Image Retrieval and Classification Techniques (3 papers), Target Tracking and Data Fusion in Sensor Networks (3 papers), Advanced Vision and Imaging (3 papers) and Advanced Image and Video Retrieval 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.