Mingyu Ding

3.0k total citations · 1 hit paper
38 papers, 902 citations indexed

About

Mingyu Ding is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Mingyu Ding has authored 38 papers receiving a total of 902 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 7 papers in Aerospace Engineering. Recurrent topics in Mingyu Ding's work include Multimodal Machine Learning Applications (10 papers), Domain Adaptation and Few-Shot Learning (10 papers) and Advanced Neural Network Applications (8 papers). Mingyu Ding is often cited by papers focused on Multimodal Machine Learning Applications (10 papers), Domain Adaptation and Few-Shot Learning (10 papers) and Advanced Neural Network Applications (8 papers). Mingyu Ding collaborates with scholars based in China, United States and Hong Kong. Mingyu Ding's co-authors include Ping Luo, Zhiwu Lu, Jianping Shi, Yuqi Huo, Hongwei Yi, Zhe Wang, Tao Xiang, Jiankai Sun, Jingdong Wang and Yunhao Wang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Mingyu Ding

34 papers receiving 881 citations

Hit Papers

Context Autoencoder for Self-supervised Representation Le... 2023 2026 2024 2025 2023 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Context Autoencoder for Self-supervised Representation Learning
    2023 178 citations Xiaokang Chen, Mingyu Ding et al. International Journal of Computer Vision profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mingyu Ding China 15 682 280 236 54 45 38 902
Danda Pani Paudel Switzerland 16 742 1.1× 190 0.7× 289 1.2× 49 0.9× 34 0.8× 62 917
Zhiwu Lu China 15 626 0.9× 358 1.3× 193 0.8× 44 0.8× 25 0.6× 30 839
François Rameau South Korea 13 555 0.8× 245 0.9× 142 0.6× 104 1.9× 40 0.9× 29 743
Shilong Liu China 11 728 1.1× 280 1.0× 177 0.8× 115 2.1× 27 0.6× 22 1.1k
Jiayuan Gu China 6 819 1.2× 393 1.4× 86 0.4× 66 1.2× 27 0.6× 14 1.1k
Holger Caesar Netherlands 7 772 1.1× 324 1.2× 106 0.4× 46 0.9× 31 0.7× 19 948
Buyu Li China 5 921 1.4× 458 1.6× 256 1.1× 111 2.1× 75 1.7× 5 1.3k
Vijay Badrinarayanan United Kingdom 13 666 1.0× 189 0.7× 146 0.6× 31 0.6× 68 1.5× 17 888
Xingyu Zeng Hong Kong 14 1.1k 1.7× 287 1.0× 247 1.0× 113 2.1× 117 2.6× 18 1.3k

Countries citing papers authored by Mingyu Ding

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Mingyu Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Mingyu Ding. A scholar is included among the top collaborators of Mingyu Ding based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mingyu Ding. Mingyu Ding is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chen, Zhenfang, Kexin Yi, Yunzhu Li, et al.. (2025). Compositional Physical Reasoning of Objects and Events From Videos. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(9). 7689–7703. 1 indexed citations
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Mu, Yao, Tianxing Chen, Zeyu Gao, et al.. (2025). RoboTwin: Dual-Arm Robot Benchmark with Generative Digital Twins. 27649–27660. 5 indexed citations
6.
Hang, Peng, et al.. (2025). Language-Driven Policy Distillation for Cooperative Driving in Multi-Agent Reinforcement Learning. IEEE Robotics and Automation Letters. 10(5). 4292–4299. 3 indexed citations
7.
Wang, Yixiao, et al.. (2025). DexHandDiff: Interaction-aware Diffusion Planning for Adaptive Dexterous Manipulation. 1745–1755. 1 indexed citations
8.
Zhao, Tong, et al.. (2024). A road surface reconstruction dataset for autonomous driving. Scientific Data. 11(1). 459–459. 14 indexed citations
9.
Zhao, Tong, et al.. (2024). RoadBEV: Road Surface Reconstruction in Bird’s Eye View. IEEE Transactions on Intelligent Transportation Systems. 25(11). 19088–19099. 15 indexed citations
10.
Ding, Mingyu, Chenfeng Xu, Xinghao Zhu, et al.. (2024). Human-oriented Representation Learning for Robotic Manipulation. 1 indexed citations
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Li, Yiheng, et al.. (2024). Pre-training on Synthetic Driving Data for Trajectory Prediction. eScholarship (California Digital Library). 5910–5917. 4 indexed citations
13.
Lu, Haoyu, Yuqi Huo, Mingyu Ding, Nanyi Fei, & Zhiwu Lu. (2023). Cross-modal Contrastive Learning for Generalizable and Efficient Image-text Retrieval. 20(4). 569–582. 11 indexed citations
14.
Chen, Xiaokang, Mingyu Ding, Xiaodi Wang, et al.. (2023). Context Autoencoder for Self-supervised Representation Learning. International Journal of Computer Vision. 132(1). 208–223. 178 indexed citations breakdown →
15.
Tung, Hsiao-Yu Fish, Mingyu Ding, Zhenfang Chen, et al.. (2023). Evaluating physical scene understanding with objects consisting of different physical attributes in humans and machines. Journal of Vision. 23(9). 5622–5622. 3 indexed citations
16.
Zhang, Manli, Jianhong Zhang, Zhiwu Lu, et al.. (2021). IEPT: Instance-Level and Episode-Level Pretext Tasks for Few-Shot Learning. International Conference on Learning Representations. 33 indexed citations
17.
Huo, Yuqi, Mingyu Ding, Haoyu Lu, et al.. (2021). Compressed Video Contrastive Learning. Neural Information Processing Systems. 34. 3 indexed citations
18.
Huo, Yuqi, Mingyu Ding, Haoyu Lu, et al.. (2021). Self-Supervised Video Representation Learning with Constrained Spatiotemporal Jigsaw. 751–757. 16 indexed citations
19.
Lu, Yao, Xiaoli Xu, Mingyu Ding, Zhiwu Lu, & Tao Xiang. (2021). A Global Occlusion-Aware Approach to Self-Supervised Monocular Visual Odometry. Proceedings of the AAAI Conference on Artificial Intelligence. 35(3). 2260–2268. 2 indexed citations
20.
Ding, Mingyu, Yuqi Huo, Jun Hu, & Zhiwu Lu. (2018). DeepInsight: Multi-Task Multi-Scale Deep Learning for Mental Disorder Diagnosis.. British Machine Vision Conference. 115. 3 indexed citations

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.

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