Dan Su
Impact in
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- Visual Attention and Saliency Detection
- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Image and Video Quality Assessment
- Video Surveillance and Tracking Methods
- Human-Computer Interaction top 5%
- Gaze Tracking and Assistive Technology
Papers in
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- Visual Attention and Saliency Detection 5
- Advanced Neural Network Applications 4
- Advanced Image and Video Retrieval Techniques 3
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- Gaze Tracking and Assistive Technology 7
- Co-authors
- Youfu Li (13 shared papers)Hao Chen (7 shared papers)Paul F.J. Eagles (1 shared paper)Geoffrey Wall (1 shared paper)Ziwei Ji (1 shared paper)Pascale Fung (1 shared paper)Wenliang Dai (1 shared paper)Zihan Liu (1 shared paper)
In The Last Decade
Dan Su
24 papers receiving 447 citations
Dan Su's Hit Papers
Peers
Comparison fields: 5 of 71
- Computer Vision and Pattern Recognition 339
- Human-Computer Interaction 89
- Sensory Systems 33
- Media Technology 50
- Cognitive Neuroscience 85
Countries citing papers authored by Dan Su
This map shows the geographic impact of Dan 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 Dan Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Su more than expected).
Fields of papers citing papers by Dan Su
This network shows the impact of papers produced by Dan 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 Dan Su. The network helps show where Dan Su may publish in the future.
Co-authors
The 21 scholars most cited alongside Dan 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
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Multi-modal fusion network with multi-scale multi-path and cross-modal interactions for RGB-D salient object detection Hit paper breakdown → | 2018 | 275 |
| 2 | 2019 | 32 | |
| 3 | 2007 | 23 | |
| 4 | 2018 | 21 | |
| 5 | 2018 | 19 | |
| 6 | 2019 | 16 | |
| 7 | 2023 | 16 | |
| 8 | 2017 | 9 | |
| 9 | 2019 | 8 | |
| 10 | 2021 | 5 | |
| 11 | 2023 | 4 | |
| 12 | 2020 | 4 | |
| 13 | 2016 | 4 | |
| 14 | 2014 | 3 | |
| 15 | 2017 | 2 | |
| 16 | 2019 | 2 | |
| 17 | 2017 | 2 | |
| 18 | Study on the fire forces construction in the new rural | 2010 | 1 |
| 19 | 2019 | 1 | |
| 20 | 2023 | 1 |
About Dan Su
Dan Su is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Ophthalmology, Radiology, Nuclear Medicine and Imaging and Business and International Management, having authored 24 papers that have together received 452 indexed citations. Recurring topics across this work include Gaze Tracking and Assistive Technology (7 papers), Glaucoma and retinal disorders (6 papers), Visual Attention and Saliency Detection (5 papers), Advanced Neural Network Applications (4 papers), E-commerce and Technology Innovations (3 papers), Retinal Imaging and Analysis (3 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Advanced Computing and Algorithms (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (339 citations), Human-Computer Interaction (89 citations), Sensory Systems (33 citations), Media Technology (50 citations) and Cognitive Neuroscience (85 citations). Dan Su has collaborated with scholars based in China, Hong Kong and Canada. Frequent co-authors include Youfu Li, Hao Chen, Paul F.J. Eagles, Geoffrey Wall, Ziwei Ji, Pascale Fung, Wenliang Dai, Zihan Liu, Kun Jiang and Zhaoli Zhang. Their work appears in journals such as IEEE Transactions on Industrial Informatics, IEEE Transactions on Cybernetics, Environmental Management, Applied Soft Computing and Measurement Science and Technology.
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.