Borong Liang
Impact in
- Media Technology top 1%
- Vehicle License Plate Recognition
- Advanced Image Fusion Techniques
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- Image Enhancement Techniques
- Advanced Image Processing Techniques
- Handwritten Text Recognition Techniques
- Image and Signal Denoising Methods
- Image Processing and 3D Reconstruction
- Advanced Neural Network Applications
Papers in
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- Generative Adversarial Networks and Image Synthesis 3
- Image Enhancement Techniques 2
- Advanced Vision and Imaging 2
- Video Analysis and Summarization 1
- Handwritten Text Recognition Techniques 1
- Video Surveillance and Tracking Methods 1
- Image Processing and 3D Reconstruction 1
-
- Vehicle License Plate Recognition 1
- Co-authors
- Xinghao Ding (3 shared papers)Yue Huang (2 shared papers)Xueyang Fu (1 shared paper)John Paisley (1 shared paper)Errui Ding (4 shared papers)Junyu Han (2 shared papers)Chengquan Zhang (1 shared paper)Zuming Huang (1 shared paper)
- Journals
- IEEE Transactions on Intelligent Transportation Systems (1 paper)IEEE Transactions on Neural Networks and Learning Systems (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Borong Liang
6 papers receiving 610 citations
Borong Liang's Hit Papers
Peers
Comparison fields: 5 of 50
- Media Technology 258
- Computer Vision and Pattern Recognition 588
- Computer Graphics and Computer-Aided Design 16
- Signal Processing 44
- Artificial Intelligence 57
Countries citing papers authored by Borong Liang
This map shows the geographic impact of Borong 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 Borong Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Borong Liang more than expected).
Fields of papers citing papers by Borong Liang
This network shows the impact of papers produced by Borong 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 Borong Liang. The network helps show where Borong Liang may publish in the future.
Co-authors
The 24 scholars most cited alongside Borong 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 | Lightweight Pyramid Networks for Image Deraining Hit paper breakdown → | 2019 | 328 |
| 2 | 2019 | 198 | |
| 3 | 2022 | 73 | |
| 4 | 2020 | 20 | |
| 5 | 2023 | 4 | |
| 6 | 2025 | 1 |
About Borong Liang
Borong Liang is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Control and Systems Engineering, Infectious Diseases and Organic Chemistry, having authored 6 papers that have together received 624 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (3 papers), Image Enhancement Techniques (2 papers), Advanced Vision and Imaging (2 papers), Video Analysis and Summarization (1 paper), Handwritten Text Recognition Techniques (1 paper), Video Surveillance and Tracking Methods (1 paper), Image Processing and 3D Reconstruction (1 paper) and Vehicle License Plate Recognition (1 paper). The work is most often cited by research in Media Technology (258 citations), Computer Vision and Pattern Recognition (588 citations), Computer Graphics and Computer-Aided Design (16 citations), Signal Processing (44 citations) and Artificial Intelligence (57 citations). Borong Liang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Xinghao Ding, Yue Huang, Xueyang Fu, John Paisley, Errui Ding, Junyu Han, Chengquan Zhang, Zuming Huang, Hang Zhou and Jingdong Wang. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Neural Networks and Learning Systems and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
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.