Mingli Ding
Impact in
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- Advanced Neural Network Applications
- Advanced Vision and Imaging
- Advanced Image Processing Techniques
- Face recognition and analysis
- Generative Adversarial Networks and Image Synthesis
- Media Technology top 1%
- Remote-Sensing Image Classification
Papers in
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- Advanced Neural Network Applications 20
- Human Pose and Action Recognition 3
- Advanced Image Processing Techniques 3
- Face recognition and analysis 2
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- Remote-Sensing Image Classification 5
- Co-authors
- Yongqiang Zhang (18 shared papers)Yancheng Bai (13 shared papers)Bernard Ghanem (9 shared papers)Aleksandra Pižurica (5 shared papers)Xian Li (5 shared papers)Guanglei Yang (7 shared papers)Elisa Ricci (5 shared papers)Hao Tang (2 shared papers)
- Journals
- Pattern Recognition (6 papers)Applied Intelligence (4 papers)IEEE Transactions on Neural Networks and Learning Systems (3 papers)IEEE Transactions on Geoscience and Remote Sensing (3 papers)International Journal of Computer Vision (2 papers)
- Partner nations
- ChinaSaudi ArabiaBelgium
In The Last Decade
Mingli Ding
57 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 65
- Computer Vision and Pattern Recognition 1k
- Media Technology 248
- Artificial Intelligence 260
- Computational Mathematics 2
- Aerospace Engineering 79
Countries citing papers authored by Mingli Ding
This map shows the geographic impact of Mingli 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 Mingli Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingli Ding more than expected).
Fields of papers citing papers by Mingli Ding
This network shows the impact of papers produced by Mingli 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 Mingli Ding. The network helps show where Mingli Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingli 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 369 | |
| 2 | 2018 | 170 | |
| 3 | 2021 | 159 | |
| 4 | 2019 | 147 | |
| 5 | 2018 | 100 | |
| 6 | 2022 | 66 | |
| 7 | 2020 | 53 | |
| 8 | 2020 | 42 | |
| 9 | 2023 | 39 | |
| 10 | 2023 | 35 | |
| 11 | 2022 | 32 | |
| 12 | 2018 | 31 | |
| 13 | 2021 | 31 | |
| 14 | 2019 | 30 | |
| 15 | 2004 | 26 | |
| 16 | 2020 | 24 | |
| 17 | 2019 | 21 | |
| 18 | 2021 | 16 | |
| 19 | 2021 | 14 | |
| 20 | 2021 | 14 |
About Mingli Ding
Mingli Ding is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Aerospace Engineering, Artificial Intelligence and Control and Systems Engineering, having authored 60 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (20 papers), Domain Adaptation and Few-Shot Learning (10 papers), Inertial Sensor and Navigation (9 papers), Remote-Sensing Image Classification (5 papers), Human Pose and Action Recognition (3 papers), Advanced Image Processing Techniques (3 papers), Machine Fault Diagnosis Techniques (2 papers) and Face recognition and analysis (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1k citations), Media Technology (248 citations), Artificial Intelligence (260 citations), Computational Mathematics (2 citations) and Aerospace Engineering (79 citations). Mingli Ding has collaborated with scholars based in China, Saudi Arabia and Belgium. Frequent co-authors include Yongqiang Zhang, Yancheng Bai, Bernard Ghanem, Aleksandra Pižurica, Xian Li, Guanglei Yang, Elisa Ricci, Hao Tang, Nicu Sebe and Yongqiang Zhang. Their work appears in journals such as Pattern Recognition, Applied Intelligence, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Geoscience and Remote Sensing 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.