Ming Wu

About

Ming Wu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Ming Wu has authored 47 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 6 papers in Computer Networks and Communications. Recurrent topics in Ming Wu’s work include Advanced Neural Network Applications (5 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Advanced Vision and Imaging (5 papers). Ming Wu is often cited by papers focused on Advanced Neural Network Applications (5 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Advanced Vision and Imaging (5 papers). Ming Wu collaborates with scholars based in China, United States and Macao. Ming Wu's co-authors include Chuang Zhang, Zhanyu Ma, Yifeng Ding, Jiyang Xie, Dongliang Chang, Jun Guo, Yi-Zhe Song, Xiaoxu Li, Ayan Kumar Bhunia and Haibin Ling 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 i

Layout:

Gravity: 0.05 Iterations: 100 Initial Temp: 1000 Cooling: 0.99 Min Temp: 1

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.

Explore authors with similar magnitude of impact