Tung-Yu Wu

12 papers and 254 indexed citations i.

About

Tung-Yu Wu is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Tung-Yu Wu has authored 12 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 3 papers in Electrical and Electronic Engineering and 3 papers in Artificial Intelligence. Recurrent topics in Tung-Yu Wu’s work include Markov Chains and Monte Carlo Methods (3 papers), Advanced Wireless Network Optimization (2 papers) and Cell Image Analysis Techniques (2 papers). Tung-Yu Wu is often cited by papers focused on Markov Chains and Monte Carlo Methods (3 papers), Advanced Wireless Network Optimization (2 papers) and Cell Image Analysis Techniques (2 papers). Tung-Yu Wu collaborates with scholars based in Taiwan, United States and Australia. Tung-Yu Wu's co-authors include Wing Hung Wong, Sheng Wan, Chen‐Yi Lee, Charles Zheng, Y. X. Rachel Wang, Yingxin Lin, Jean Yang, ChingYao Huang, Ching Yao Huang and Jingxue Xin and has published in prestigious journals such as Journal of the American Statistical Association, Nature Biotechnology and Genome Research.

In The Last Decade

Co-authorship network of co-authors of Tung-Yu Wu i

Fields of papers citing papers by Tung-Yu Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tung-Yu Wu

Since Specialization
Citations

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

Rankless by CCL
2025