Deyang Liu
Impact in
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- Advanced Vision and Imaging
- Advanced Image Processing Techniques
- Image Enhancement Techniques
- Image and Video Quality Assessment
- Media Technology top 5%
- Advanced Optical Imaging Technologies
- Advanced Image Fusion Techniques
Papers in
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- Advanced Vision and Imaging 27
- Advanced Image Processing Techniques 23
- Image Enhancement Techniques 13
- Image and Video Quality Assessment 10
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- Advanced Image Fusion Techniques 6
- Co-authors
- Ping AnXinpeng HuangRan MaChao YangLiquan ShenQiang WuYan HuangXin Zheng
In The Last Decade
Deyang Liu
49 papers receiving 509 citations
Peers
Comparison fields: 5 of 66
- Computer Vision and Pattern Recognition 383
- Media Technology 109
- Signal Processing 76
- Computational Mathematics 4
- Instrumentation 12
Countries citing papers authored by Deyang Liu
This map shows the geographic impact of Deyang Liu'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 Deyang Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deyang Liu more than expected).
Fields of papers citing papers by Deyang Liu
This network shows the impact of papers produced by Deyang Liu. 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 Deyang Liu. The network helps show where Deyang Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Deyang Liu, 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 | 2 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 9 | |
| 9 | 2024 | 7 | |
| 10 | 2023 | 10 | |
| 11 | 2023 | 0 | |
| 12 | 2023 | 8 | |
| 13 | 2022 | 1 | |
| 14 | 2022 | 18 | |
| 15 | 2021 | 11 | |
| 16 | 2020 | 33 | |
| 17 | 2020 | 23 | |
| 18 | 2020 | 17 | |
| 19 | 2020 | 35 | |
| 20 | 2019 | 54 |
About Deyang Liu
Deyang Liu is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Signal Processing, Instrumentation and Industrial and Manufacturing Engineering, having authored 58 papers that have together received 537 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (27 papers), Advanced Image Processing Techniques (23 papers), Image Enhancement Techniques (13 papers), Video Coding and Compression Technologies (11 papers), Image and Video Quality Assessment (10 papers), High Entropy Alloys Studies (6 papers), Advanced Image Fusion Techniques (6 papers) and Additive Manufacturing Materials and Processes (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (383 citations), Media Technology (109 citations), Signal Processing (76 citations), Computational Mathematics (4 citations) and Instrumentation (12 citations). Deyang Liu has collaborated with scholars based in China, Australia and Singapore. Frequent co-authors include Ping An, Xinpeng Huang, Ran Ma, Chao Yang, Liquan Shen, Qiang Wu, Yan Huang, Xin Zheng, Xihui Chen and Ali Abdullah Yahya. Their work appears in journals such as Signal Processing Image Communication, IEEE Transactions on Multimedia, IEEE Transactions on Circuits and Systems for Video Technology, Scientific Reports and Knowledge-Based Systems.
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.