Chung‐Ming Wu

6 papers and 350 indexed citations i.

About

Chung‐Ming Wu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Chung‐Ming Wu has authored 6 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Computational Mechanics. Recurrent topics in Chung‐Ming Wu’s work include Medical Image Segmentation Techniques (3 papers), AI in cancer detection (3 papers) and Lattice Boltzmann Simulation Studies (2 papers). Chung‐Ming Wu is often cited by papers focused on Medical Image Segmentation Techniques (3 papers), AI in cancer detection (3 papers) and Lattice Boltzmann Simulation Studies (2 papers). Chung‐Ming Wu collaborates with scholars based in Taiwan. Chung‐Ming Wu's co-authors include Kai‐Sheng Hsieh, Yung‐Chang Chen, Yung‐Chang Chen, Yung‐Chang Chen and Chao‐An Lin and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Pattern Recognition and Computers & Fluids.

In The Last Decade

Co-authorship network of co-authors of Chung‐Ming Wu i

Fields of papers citing papers by Chung‐Ming Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Chung‐Ming Wu

Since Specialization
Citations

This map shows the geographic impact of Chung‐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 Chung‐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 Chung‐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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2025