Dun Liang
Impact in
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- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
- Media Technology top 1%
- Vehicle License Plate Recognition
Papers in
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- Advanced Neural Network Applications 3
- Advanced Vision and Imaging 2
- Video Surveillance and Tracking Methods 2
- Image Enhancement Techniques 1
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- Structural Load-Bearing Analysis 2
- Co-authors
- Shi‐Min Hu (4 shared papers)Xiaolei Huang (2 shared papers)Zhe Zhu (1 shared paper)Song–Hai Zhang (1 shared paper)Baoli Li (1 shared paper)Guo-Ye Yang (1 shared paper)Guowei Yang (1 shared paper)Tai‐Jiang Mu (3 shared papers)
- Journals
- Fire Safety Journal (1 paper)Journal of Building Engineering (1 paper)IEEE Transactions on Visualization and Computer Graphics (1 paper)ACM Transactions on Graphics (1 paper)Science China Information Sciences (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Dun Liang
11 papers receiving 946 citations
Dun Liang's Hit Papers
Peers
Comparison fields: 5 of 76
- Computer Vision and Pattern Recognition 775
- Media Technology 314
- Computer Graphics and Computer-Aided Design 65
- Human-Computer Interaction 64
- Automotive Engineering 108
Countries citing papers authored by Dun Liang
This map shows the geographic impact of Dun 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 Dun Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dun Liang more than expected).
Fields of papers citing papers by Dun Liang
This network shows the impact of papers produced by Dun 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 Dun Liang. The network helps show where Dun Liang may publish in the future.
Co-authors
The 25 scholars most cited alongside Dun 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 | Traffic-Sign Detection and Classification in the Wild Hit paper breakdown → | 2016 | 680 |
| 2 | 2020 | 93 | |
| 3 | 2022 | 56 | |
| 4 | 2016 | 45 | |
| 5 | 2020 | 40 | |
| 6 | 2022 | 35 | |
| 7 | 2021 | 12 | |
| 8 | 2022 | 11 | |
| 9 | [Soluble expression and characterization of disulfide bond-rich subdomains of membrane protein p185 in Escherichia coli]. | 2005 | 3 |
| 10 | 2022 | 3 | |
| 11 | 2023 | 1 |
About Dun Liang
Dun Liang is a scholar working on Computer Vision and Pattern Recognition, Civil and Structural Engineering, Computational Mechanics, Artificial Intelligence and Computer Graphics and Computer-Aided Design, having authored 11 papers that have together received 979 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (3 papers), Advanced Neural Network Applications (3 papers), 3D Shape Modeling and Analysis (3 papers), Advanced Vision and Imaging (2 papers), Structural Load-Bearing Analysis (2 papers), Neural Networks and Applications (2 papers), Video Surveillance and Tracking Methods (2 papers) and Image Enhancement Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (775 citations), Media Technology (314 citations), Computer Graphics and Computer-Aided Design (65 citations), Human-Computer Interaction (64 citations) and Automotive Engineering (108 citations). Dun Liang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Shi‐Min Hu, Xiaolei Huang, Zhe Zhu, Song–Hai Zhang, Baoli Li, Guo-Ye Yang, Guowei Yang, Tai‐Jiang Mu, Linmi Tao and Hai-Tao Zheng. Their work appears in journals such as Fire Safety Journal, Journal of Building Engineering, IEEE Transactions on Visualization and Computer Graphics, ACM Transactions on Graphics and Science China Information Sciences.
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.