Wei-Wei Tu

27 papers and 228 indexed citations i.

About

Wei-Wei Tu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Wei-Wei Tu has authored 27 papers receiving a total of 228 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Computational Theory and Mathematics. Recurrent topics in Wei-Wei Tu’s work include Machine Learning and Data Classification (7 papers), Machine Learning and Algorithms (4 papers) and Advanced Neural Network Applications (4 papers). Wei-Wei Tu is often cited by papers focused on Machine Learning and Data Classification (7 papers), Machine Learning and Algorithms (4 papers) and Advanced Neural Network Applications (4 papers). Wei-Wei Tu collaborates with scholars based in China, United States and France. Wei-Wei Tu's co-authors include Quanming Yao, Huan Zhao, R. W. Mayne, Zhanxing Zhu, Ju Xu, Yu-Feng Li, Hai Wang, Qiang Yang, Wenyuan Dai and Yuqiang Chen and has published in prestigious journals such as Genome biology, International Journal for Numerical Methods in Engineering and Machine Learning.

In The Last Decade

Co-authorship network of co-authors of Wei-Wei Tu i

Fields of papers citing papers by Wei-Wei Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei-Wei Tu. 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 Wei-Wei Tu. The network helps show where Wei-Wei Tu may publish in the future.

Countries citing papers authored by Wei-Wei Tu

Since Specialization
Citations

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