Yongsheng Liang
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- Face and Expression Recognition 12
- Advanced Image Processing Techniques 11
- Image and Signal Denoising Methods 10
- Advanced Data Compression Techniques 10
- Video Surveillance and Tracking Methods 8
- Human Pose and Action Recognition 7
- Computational Mathematics top 10%
- Signal Processing top 5%
- Artificial Intelligence top 5%
- Domain Adaptation and Few-Shot Learning 7
- Media Technology top 5%
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- Sparse and Compressive Sensing Techniques 9
- Co-authors
- Fanyang MengSanfeng ChenShuai LiBo LiuYangming LiSiwei MaGe LiFang Lou
- Journals
- SHILAP Revista de lepidopterología (2 papers)IEEE Transactions on Image Processing (2 papers)IEEE Transactions on Medical Imaging (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yongsheng Liang
72 papers receiving 927 citations
Peers
Comparison fields: 5 of 105
- Computer Vision and Pattern Recognition 491
- Computational Mathematics 13
- Signal Processing 106
- Artificial Intelligence 315
- Media Technology 78
Countries citing papers authored by Yongsheng Liang
This map shows the geographic impact of Yongsheng Liang'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 Yongsheng Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yongsheng Liang more than expected).
Fields of papers citing papers by Yongsheng Liang
This network shows the impact of papers produced by Yongsheng Liang. 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 Yongsheng Liang. The network helps show where Yongsheng Liang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yongsheng Liang, 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 | 4 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 1 | |
| 6 | 2025 | 1 | |
| 7 | 2025 | 5 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 12 | |
| 11 | 2024 | 2 | |
| 12 | 2023 | 3 | |
| 13 | 2023 | 9 | |
| 14 | 2021 | 18 | |
| 15 | 2021 | 32 | |
| 16 | Video Motion Characteristics based Spatial-Temporal Salient Region Extraction Method. | 2015 | 1 |
| 17 | Bidirectional RRT Algorithm for Collision Avoidance Motion Planning of FFSR | 2014 | 3 |
| 18 | New scalable ROI algorithm based on visual attention | 2013 | 0 |
| 19 | Formation Mechanism of BGA Void and Effects on Solder Joint Reliability | 2007 | 1 |
| 20 | The determination of the link with the smallest end-to-end network latency in ethernet architecture | 2007 | 1 |
About Yongsheng Liang
Yongsheng Liang is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition and Signal Processing, having authored 90 papers that have together received 945 indexed citations. Recurring topics across this work include Face and Expression Recognition (12 papers), Advanced Image Processing Techniques (11 papers), Image and Signal Denoising Methods (10 papers), Advanced Data Compression Techniques (10 papers), Sparse and Compressive Sensing Techniques (9 papers), Video Surveillance and Tracking Methods (8 papers), Domain Adaptation and Few-Shot Learning (7 papers) and Human Pose and Action Recognition (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (491 citations), Computational Mathematics (13 citations) and Signal Processing (106 citations). Yongsheng Liang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Fanyang Meng, Sanfeng Chen, Shuai Li, Bo Liu, Yangming Li, Siwei Ma, Ge Li, Fang Lou, Zhihong Tian and Weisi Lin. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and IEEE Transactions on Medical Imaging.
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.