Tsung-Jung Liu
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- Advanced Image Processing Techniques 22
- Image and Video Quality Assessment 17
- Generative Adversarial Networks and Image Synthesis 16
- Face recognition and analysis 16
- Image and Signal Denoising Methods 11
- Image Enhancement Techniques 10
- Video Surveillance and Tracking Methods 7
- Media Technology top 1%
- Advanced Image Fusion Techniques 16
- Signal Processing top 10%
- Urban Studies top 10%
- Co-authors
- Kuan-Hsien LiuC.‐C. Jay KuoWeisi LinHsin‐Hua LiuSoo‐Chang PeiJoe Yuchieh LinYu-Chieh LinHaiqiang Wang
- Journals
- IEEE Access (4 papers)IEEE Transactions on Image Processing (3 papers)Journal of Visual Communication and Image Representation (2 papers)
- Partner nations
- TaiwanUnited StatesSingapore
In The Last Decade
Tsung-Jung Liu
50 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 82
- Computer Vision and Pattern Recognition 1.0k
- Media Technology 397
- Signal Processing 93
- Industrial and Manufacturing Engineering 70
- Urban Studies 20
Countries citing papers authored by Tsung-Jung Liu
This map shows the geographic impact of Tsung-Jung 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 Tsung-Jung Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tsung-Jung Liu more than expected).
Fields of papers citing papers by Tsung-Jung Liu
This network shows the impact of papers produced by Tsung-Jung 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 Tsung-Jung Liu. The network helps show where Tsung-Jung Liu may publish in the future.
Co-authorship network
The 16 scholars most cited alongside Tsung-Jung 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 | 2024 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 3 | |
| 8 | 2022 | 64 | |
| 9 | 2022 | 119 | |
| 10 | 2022 | 13 | |
| 11 | 2021 | 1 | |
| 12 | 2019 | 25 | |
| 13 | 2019 | 17 | |
| 14 | 2019 | 30 | |
| 15 | 2019 | 27 | |
| 16 | 2019 | 7 | |
| 17 | 2015 | 82 | |
| 18 | Performance comparison of decision fusion strategies in BMMF-based image quality assessment | 2012 | 2 |
| 19 | A fusion approach to video quality assessment based on temporal decomposition | 2012 | 5 |
| 20 | 2012 | 149 |
About Tsung-Jung Liu
Tsung-Jung Liu is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Signal Processing, Urban Studies and Instrumentation, having authored 56 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (22 papers), Image and Video Quality Assessment (17 papers), Advanced Image Fusion Techniques (16 papers), Generative Adversarial Networks and Image Synthesis (16 papers), Face recognition and analysis (16 papers), Image and Signal Denoising Methods (11 papers), Image Enhancement Techniques (10 papers) and Video Surveillance and Tracking Methods (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.0k citations), Media Technology (397 citations), Signal Processing (93 citations), Industrial and Manufacturing Engineering (70 citations) and Urban Studies (20 citations). Tsung-Jung Liu has collaborated with scholars based in Taiwan, United States and Singapore. Frequent co-authors include Kuan-Hsien Liu, C.‐C. Jay Kuo, Weisi Lin, Hsin‐Hua Liu, Soo‐Chang Pei, Joe Yuchieh Lin, Yu-Chieh Lin, Haiqiang Wang, Chi-Hao Wu and Rui Song. Their work appears in journals such as IEEE Access, IEEE Transactions on Image Processing, Journal of Visual Communication and Image Representation, Applied Sciences and IEEE Transactions on Neural Networks and Learning 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.