Hsien-Tzu Cheng
Impact in
- Human-Computer Interaction top 5%
- Virtual Reality Applications and Impacts
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- Visual Attention and Saliency Detection
- Advanced Vision and Imaging
- Image and Video Quality Assessment
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Video Analysis and Summarization
Papers in
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- Advanced Vision and Imaging 2
- Human Pose and Action Recognition 2
- Image and Video Quality Assessment 1
- Video Analysis and Summarization 1
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- Virtual Reality Applications and Impacts 2
- Co-authors
- Min Sun (3 shared papers)Hou-Ning Hu (3 shared papers)Yung-Ju Chang (2 shared papers)Yen-Chen Lin (2 shared papers)Tyng-Luh Liu (2 shared papers)Chun-Hung Chao (1 shared paper)Jin‐Dong Dong (1 shared paper)Ming-Yu Liu (1 shared paper)
- Partner nations
- TaiwanUnited Kingdom
In The Last Decade
Hsien-Tzu Cheng
5 papers receiving 446 citations
Peers
Comparison fields: 5 of 47
- Human-Computer Interaction 124
- Computer Vision and Pattern Recognition 416
- Media Technology 67
- Computer Graphics and Computer-Aided Design 9
- Cognitive Neuroscience 45
Countries citing papers authored by Hsien-Tzu Cheng
This map shows the geographic impact of Hsien-Tzu Cheng'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 Hsien-Tzu Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hsien-Tzu Cheng more than expected).
Fields of papers citing papers by Hsien-Tzu Cheng
This network shows the impact of papers produced by Hsien-Tzu Cheng. 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 Hsien-Tzu Cheng. The network helps show where Hsien-Tzu Cheng may publish in the future.
Co-authors
The 14 scholars most cited alongside Hsien-Tzu Cheng, 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 | 2018 | 155 | |
| 2 | 2017 | 144 | |
| 3 | 2017 | 113 | |
| 4 | 2019 | 31 | |
| 5 | 2020 | 16 |
About Hsien-Tzu Cheng
Hsien-Tzu Cheng is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Social Psychology, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 5 papers that have together received 459 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (2 papers), Virtual Reality Applications and Impacts (2 papers), Human Pose and Action Recognition (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Image and Video Quality Assessment (1 paper), Color perception and design (1 paper), Visual and Cognitive Learning Processes (1 paper) and Video Analysis and Summarization (1 paper). The work is most often cited by research in Human-Computer Interaction (124 citations), Computer Vision and Pattern Recognition (416 citations), Media Technology (67 citations), Computer Graphics and Computer-Aided Design (9 citations) and Cognitive Neuroscience (45 citations). Hsien-Tzu Cheng has collaborated with scholars based in Taiwan and United Kingdom. Frequent co-authors include Min Sun, Hou-Ning Hu, Yung-Ju Chang, Yen-Chen Lin, Tyng-Luh Liu, Chun-Hung Chao, Jin‐Dong Dong, Ming-Yu Liu, Shang-Ta Yang and Fu-En Wang. Their work appears in journals such as Lecture notes in computer science.
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.