Mingyu Ding
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Advanced Vision and Imaging
- Multimodal Machine Learning Applications
- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Aerospace Engineering top 5%
- Robotics and Sensor-Based Localization
Papers in
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- Multimodal Machine Learning Applications 10
- Advanced Neural Network Applications 8
- Advanced Vision and Imaging 5
- Advanced Image and Video Retrieval Techniques 4
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- Domain Adaptation and Few-Shot Learning 10
- Co-authors
- Ping Luo (10 shared papers)Zhiwu Lu (9 shared papers)Jianping Shi (3 shared papers)Yuqi Huo (5 shared papers)Hongwei Yi (3 shared papers)Zhe Wang (2 shared papers)Tao Xiang (6 shared papers)Jiankai Sun (3 shared papers)
- Journals
- IEEE Robotics and Automation Letters (3 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (2 papers)IEEE Transactions on Intelligent Transportation Systems (1 paper)Journal of Vision (1 paper)International Journal of Computer Vision (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Mingyu Ding
34 papers receiving 881 citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Computer Vision and Pattern Recognition 682
- Aerospace Engineering 236
- Artificial Intelligence 280
- Geology 36
- Media Technology 54
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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Context Autoencoder for Self-supervised Representation Learning Hit paper breakdown → | 2023 | 178 |
| 2 | 2020 | 178 | |
| 3 | 2019 | 75 | |
| 4 | 2021 | 56 | |
| 5 | 2020 | 54 | |
| 6 | 2021 | 50 | |
| 7 | 2020 | 44 | |
| 8 | 2021 | 35 | |
| 9 | 2021 | 35 | |
| 10 | IEPT: Instance-Level and Episode-Level Pretext Tasks for Few-Shot Learning | 2021 | 33 |
| 11 | 2023 | 28 | |
| 12 | 2018 | 20 | |
| 13 | 2021 | 16 | |
| 14 | 2024 | 15 | |
| 15 | 2024 | 14 | |
| 16 | 2023 | 11 | |
| 17 | 2024 | 7 | |
| 18 | 2023 | 6 | |
| 19 | 2023 | 6 | |
| 20 | 2025 | 5 |
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 38 papers that have together received 902 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (10 papers), Domain Adaptation and Few-Shot Learning (10 papers), Advanced Neural Network Applications (8 papers), Robotics and Sensor-Based Localization (7 papers), Remote Sensing and LiDAR Applications (5 papers), Advanced Vision and Imaging (5 papers), Robot Manipulation and Learning (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (682 citations), Aerospace Engineering (236 citations), Artificial Intelligence (280 citations), Geology (36 citations) and Media Technology (54 citations). Mingyu Ding has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Ping Luo, Zhiwu Lu, Jianping Shi, Yuqi Huo, Hongwei Yi, Zhe Wang, Tao Xiang, Jiankai Sun, Jingdong Wang and Yunhao Wang. Their work appears in journals such as IEEE Robotics and Automation Letters, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Intelligent Transportation Systems, Journal of Vision and International Journal of Computer Vision.
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.