Yuting Su
-
- Advanced Image and Video Retrieval Techniques 67
- Human Pose and Action Recognition 45
- Video Analysis and Summarization 40
- Digital Media Forensic Detection 35
- Advanced Steganography and Watermarking Techniques 31
- Multimodal Machine Learning Applications 30
- Image Retrieval and Classification Techniques 28
- Computational Mathematics top 2%
- Media Technology top 1%
- Artificial Intelligence top 1%
- Toxicology top 2%
-
- 3D Shape Modeling and Analysis 28
- Co-authors
- An-An LiuWeizhi NiePeiguang JingMohan KankanhalliJing LiuNing XuLiqiang NieChengqian Zhang
- Journals
- IEEE Transactions on Multimedia (28 papers)Multimedia Tools and Applications (20 papers)IEEE Transactions on Circuits and Systems for Video Technology (14 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Yuting Su
293 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 181
- Computer Vision and Pattern Recognition 3.3k
- Computational Mathematics 58
- Media Technology 370
- Artificial Intelligence 1.1k
- Toxicology 103
Countries citing papers authored by Yuting Su
This map shows the geographic impact of Yuting Su'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 Yuting Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuting Su more than expected).
Fields of papers citing papers by Yuting Su
This network shows the impact of papers produced by Yuting Su. 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 Yuting Su. The network helps show where Yuting Su may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yuting Su, 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 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 4 | |
| 9 | 2023 | 32 | |
| 10 | 2023 | 6 | |
| 11 | 2023 | 1 | |
| 12 | 2022 | 4 | |
| 13 | 2021 | 10 | |
| 14 | 2021 | 34 | |
| 15 | 2020 | 51 | |
| 16 | 2020 | 5 | |
| 17 | 2018 | 4 | |
| 18 | 2018 | 98 | |
| 19 | 2018 | 11 | |
| 20 | 2017 | 13 |
About Yuting Su
Yuting Su is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition, Media Technology, Artificial Intelligence and Computational Mechanics, having authored 307 papers that have together received 5.0k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (67 papers), Human Pose and Action Recognition (45 papers), Video Analysis and Summarization (40 papers), Digital Media Forensic Detection (35 papers), Advanced Steganography and Watermarking Techniques (31 papers), Multimodal Machine Learning Applications (30 papers), Image Retrieval and Classification Techniques (28 papers) and 3D Shape Modeling and Analysis (28 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.3k citations), Computational Mathematics (58 citations), Media Technology (370 citations), Artificial Intelligence (1.1k citations) and Toxicology (103 citations). Yuting Su has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include An-An Liu, Weizhi Nie, Peiguang Jing, Weizhi Nie, Mohan Kankanhalli, Jing Liu, Ning Xu, Liqiang Nie, Chengqian Zhang and Zhaoxuan Yang. Their work appears in journals such as IEEE Transactions on Multimedia, Multimedia Tools and Applications, IEEE Transactions on Circuits and Systems for Video Technology, Neurocomputing and IEEE Access.
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.