Ming Wu

37 papers and 530 indexed citations i.

About

Ming Wu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Atmospheric Science. According to data from OpenAlex, Ming Wu has authored 37 papers receiving a total of 530 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 5 papers in Atmospheric Science. Recurrent topics in Ming Wu’s work include Domain Adaptation and Few-Shot Learning (5 papers), Advanced Vision and Imaging (5 papers) and Advanced Neural Network Applications (4 papers). Ming Wu is often cited by papers focused on Domain Adaptation and Few-Shot Learning (5 papers), Advanced Vision and Imaging (5 papers) and Advanced Neural Network Applications (4 papers). Ming Wu collaborates with scholars based in China, United States and United Kingdom. Ming Wu's co-authors include Jun Guo, Chuang Zhang, Zhanyu Ma, Xiaoxu Li, Ayan Kumar Bhunia, Jiyang Xie, Yifeng Ding, Dongliang Chang, Yi-Zhe Song and Jiaming Liu and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Ming Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Wu. A scholar is included among the top collaborators of Ming Wu 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 Ming Wu. Ming Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by Ming Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming Wu. 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 Ming Wu. The network helps show where Ming Wu may publish in the future.

Countries citing papers authored by Ming Wu

Since Specialization
Citations

This map shows the geographic impact of Ming Wu'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 Ming Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Wu 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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2026