Dan Yao
Impact in
- Media Technology top 5%
- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
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- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Multimodal Machine Learning Applications
Papers in
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- Remote-Sensing Image Classification 7
- Advanced Image Fusion Techniques 4
- Image Processing Techniques and Applications 2
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- Advanced Neural Network Applications 4
- Multimodal Machine Learning Applications 3
- Advanced Image and Video Retrieval Techniques 3
- Human Pose and Action Recognition 2
- Co-authors
- Hongmin Gao (7 shared papers)Chenming Li (6 shared papers)Yao Yang (5 shared papers)Zhixin Li (3 shared papers)Haichang Gao (3 shared papers)Xiyang Liu (3 shared papers)Liang Shan (1 shared paper)Haiyang Tang (2 shared papers)
- Journals
- Sensors (2 papers)RSC Advances (1 paper)Applied Optics (1 paper)Journal of Environmental Sciences (1 paper)Information Processing & Management (1 paper)
- Partner nations
- ChinaUnited KingdomAustria
In The Last Decade
Dan Yao
21 papers receiving 385 citations
Peers
Comparison fields: 5 of 71
- Media Technology 102
- Computer Vision and Pattern Recognition 160
- Signal Processing 50
- Human-Computer Interaction 23
- Atmospheric Science 64
Countries citing papers authored by Dan Yao
This map shows the geographic impact of Dan Yao'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 Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Yao more than expected).
Fields of papers citing papers by Dan Yao
This network shows the impact of papers produced by Dan Yao. 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 Yao. The network helps show where Dan Yao may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Yao, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 48 | |
| 2 | 2010 | 37 | |
| 3 | 2019 | 34 | |
| 4 | 2010 | 34 | |
| 5 | 2019 | 31 | |
| 6 | 2019 | 31 | |
| 7 | 2022 | 28 | |
| 8 | 2019 | 25 | |
| 9 | 2023 | 23 | |
| 10 | 2018 | 22 | |
| 11 | 2023 | 21 | |
| 12 | 2023 | 17 | |
| 13 | 2020 | 10 | |
| 14 | 2022 | 8 | |
| 15 | 2017 | 7 | |
| 16 | 2010 | 6 | |
| 17 | 2024 | 5 | |
| 18 | 2023 | 5 | |
| 19 | 2020 | 1 | |
| 20 | 2023 | 1 |
About Dan Yao
Dan Yao is a scholar working on Media Technology, Computer Vision and Pattern Recognition, Atmospheric Science, Artificial Intelligence and Information Systems, having authored 22 papers that have together received 395 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (7 papers), Remote Sensing and Land Use (6 papers), Advanced Neural Network Applications (4 papers), Advanced Image Fusion Techniques (4 papers), Multimodal Machine Learning Applications (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Human Pose and Action Recognition (2 papers) and Image Processing Techniques and Applications (2 papers). The work is most often cited by research in Media Technology (102 citations), Computer Vision and Pattern Recognition (160 citations), Signal Processing (50 citations), Human-Computer Interaction (23 citations) and Atmospheric Science (64 citations). Dan Yao has collaborated with scholars based in China, United Kingdom and Austria. Frequent co-authors include Hongmin Gao, Chenming Li, Yao Yang, Zhixin Li, Haichang Gao, Xiyang Liu, Liang Shan, Haiyang Tang, Huifang Ma and Uwe Aickelin. Their work appears in journals such as Sensors, RSC Advances, Applied Optics, Journal of Environmental Sciences and Information Processing & Management.
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.