Mingyu Ding
Impact in
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- Advanced Neural Network Applications
- Advanced Vision and Imaging
- Advanced Image and Video Retrieval Techniques
- Multimodal Machine Learning Applications
- Visual Attention and Saliency Detection
- Video Surveillance and Tracking Methods
- Geology top 5%
Papers in
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- Advanced Neural Network Applications 10
- Multimodal Machine Learning Applications 10
- Advanced Vision and Imaging 7
- Visual Attention and Saliency Detection 5
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- Domain Adaptation and Few-Shot Learning 12
- Co-authors
- Ping Luo (12 shared papers)Zhiwu Lu (12 shared papers)Hongwei Yi (5 shared papers)Jingdong Wang (3 shared papers)Jianping Shi (3 shared papers)Bin Xiao (1 shared paper)Yuqi Huo (8 shared papers)Lu Yuan (1 shared paper)
- Journals
- IEEE Robotics and Automation Letters (3 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (3 papers)Journal of Vision (1 paper)International Journal of Computer Vision (1 paper)Scientific Data (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Mingyu Ding
43 papers receiving 1.5k citations
Mingyu Ding's Hit Papers
Peers
Comparison fields: 5 of 104
- Computer Vision and Pattern Recognition 1.2k
- Geology 118
- Media Technology 144
- Aerospace Engineering 332
- Artificial Intelligence 399
Countries citing papers authored by Mingyu Ding
This map shows the geographic impact of Mingyu Ding'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 Mingyu Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingyu Ding more than expected).
Fields of papers citing papers by Mingyu Ding
This network shows the impact of papers produced by Mingyu Ding. 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 Mingyu Ding. The network helps show where Mingyu Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingyu Ding, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | DaViT: Dual Attention Vision Transformers Hit paper breakdown → | 2022 | 215 |
| 2 | Context Autoencoder for Self-supervised Representation Learning Hit paper breakdown → | 2023 | 195 |
| 3 | 2020 | 193 | |
| 4 | 2020 | 128 | |
| 5 | 2020 | 115 | |
| 6 | 2019 | 93 | |
| 7 | 2020 | 87 | |
| 8 | 2021 | 66 | |
| 9 | 2020 | 58 | |
| 10 | 2021 | 53 | |
| 11 | 2020 | 45 | |
| 12 | 2021 | 44 | |
| 13 | 2021 | 42 | |
| 14 | IEPT: Instance-Level and Episode-Level Pretext Tasks for Few-Shot Learning | 2021 | 34 |
| 15 | 2023 | 33 | |
| 16 | 2018 | 21 | |
| 17 | 2021 | 18 | |
| 18 | 2024 | 18 | |
| 19 | 2024 | 17 | |
| 20 | 2023 | 13 |
About Mingyu Ding
Mingyu Ding is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Control and Systems Engineering and Environmental Engineering, having authored 50 papers that have together received 1.6k indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (12 papers), Advanced Neural Network Applications (10 papers), Multimodal Machine Learning Applications (10 papers), Robotics and Sensor-Based Localization (8 papers), Advanced Vision and Imaging (7 papers), Visual Attention and Saliency Detection (5 papers), Remote Sensing and LiDAR Applications (5 papers) and Robot Manipulation and Learning (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.2k citations), Geology (118 citations), Media Technology (144 citations), Aerospace Engineering (332 citations) and Artificial Intelligence (399 citations). Mingyu Ding has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Ping Luo, Zhiwu Lu, Hongwei Yi, Jingdong Wang, Jianping Shi, Bin Xiao, Yuqi Huo, Lu Yuan, Noel Codella and Guoping Wang. Their work appears in journals such as IEEE Robotics and Automation Letters, IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Vision, International Journal of Computer Vision and Scientific Data.
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.