Erkun Yang
Impact in
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- Advanced Image and Video Retrieval Techniques
- Multimodal Machine Learning Applications
- Video Surveillance and Tracking Methods
- Image Retrieval and Classification Techniques
- Advanced Neural Network Applications
- Video Analysis and Summarization
- Artificial Intelligence top 5%
- Domain Adaptation and Few-Shot Learning
Papers in
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- Advanced Image and Video Retrieval Techniques 13
- Multimodal Machine Learning Applications 10
- Video Surveillance and Tracking Methods 8
- Advanced Neural Network Applications 6
- Human Pose and Action Recognition 5
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- Domain Adaptation and Few-Shot Learning 7
- Co-authors
- Cheng Dan Deng (18 shared papers)Dacheng Tao (8 shared papers)Wei Liu (6 shared papers)Tongliang Liu (7 shared papers)Gao Xinbo (1 shared paper)Xianglong Liu (1 shared paper)Pew‐Thian Yap (10 shared papers)MingXia Liu (12 shared papers)
- Journals
- IEEE Transactions on Medical Imaging (3 papers)IEEE Transactions on Neural Networks and Learning Systems (2 papers)IEEE Transactions on Image Processing (2 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (2 papers)Multimedia Tools and Applications (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Erkun Yang
35 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 91
- Computer Vision and Pattern Recognition 1.1k
- Artificial Intelligence 557
- Cognitive Neuroscience 178
- Neurology 58
- Radiology, Nuclear Medicine and Imaging 120
Countries citing papers authored by Erkun Yang
This map shows the geographic impact of Erkun Yang'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 Erkun Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erkun Yang more than expected).
Fields of papers citing papers by Erkun Yang
This network shows the impact of papers produced by Erkun Yang. 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 Erkun Yang. The network helps show where Erkun Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Erkun Yang, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 281 | |
| 2 | 2019 | 146 | |
| 3 | 2021 | 139 | |
| 4 | 2018 | 135 | |
| 5 | 2018 | 135 | |
| 6 | 2021 | 128 | |
| 7 | 2019 | 128 | |
| 8 | 2021 | 104 | |
| 9 | 2018 | 92 | |
| 10 | 2019 | 72 | |
| 11 | 2020 | 37 | |
| 12 | 2022 | 35 | |
| 13 | 2022 | 30 | |
| 14 | 2020 | 27 | |
| 15 | 2023 | 21 | |
| 16 | 2020 | 19 | |
| 17 | 2017 | 18 | |
| 18 | 2024 | 15 | |
| 19 | 2024 | 12 | |
| 20 | 2024 | 11 |
About Erkun Yang
Erkun Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 37 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (13 papers), Multimodal Machine Learning Applications (10 papers), Video Surveillance and Tracking Methods (8 papers), Domain Adaptation and Few-Shot Learning (7 papers), Functional Brain Connectivity Studies (6 papers), Advanced Neural Network Applications (6 papers), Human Pose and Action Recognition (5 papers) and Advanced Neuroimaging Techniques and Applications (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Artificial Intelligence (557 citations), Cognitive Neuroscience (178 citations), Neurology (58 citations) and Radiology, Nuclear Medicine and Imaging (120 citations). Erkun Yang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Cheng Dan Deng, Dacheng Tao, Wei Liu, Tongliang Liu, Gao Xinbo, Xianglong Liu, Pew‐Thian Yap, MingXia Liu, Dinggang G. Shen and Dongren Yao. Their work appears in journals such as IEEE Transactions on Medical Imaging, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Image Processing, IEEE Transactions on Pattern Analysis and Machine Intelligence and Multimedia Tools and Applications.
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.