Mingyu Ding

31 papers and 632 indexed citations i.

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 31 papers receiving a total of 632 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 6 papers in Aerospace Engineering. Recurrent topics in Mingyu Ding’s work include Domain Adaptation and Few-Shot Learning (9 papers), Multimodal Machine Learning Applications (8 papers) and Advanced Neural Network Applications (8 papers). Mingyu Ding is often cited by papers focused on Domain Adaptation and Few-Shot Learning (9 papers), Multimodal Machine Learning Applications (8 papers) and Advanced Neural Network Applications (8 papers). Mingyu Ding collaborates with scholars based in China, Hong Kong and United States. Mingyu Ding's co-authors include Ping Luo, Zhiwu Lu, Jianping Shi, Hongwei Yi, Zhe Wang, Yuqi Huo, Tao Xiang, Jiankai Sun, Jingdong Wang and Zhe 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 Vehicular Technology.

In The Last Decade

Co-authorship network of co-authors of Mingyu Ding i

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.

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).

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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2025