Wen-Ting Wu

14 papers and 392 indexed citations i.

About

Wen-Ting Wu is a scholar working on Artificial Intelligence, Computational Mechanics and Computational Theory and Mathematics. According to data from OpenAlex, Wen-Ting Wu has authored 14 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 10 papers in Computational Mechanics and 8 papers in Computational Theory and Mathematics. Recurrent topics in Wen-Ting Wu’s work include Stochastic Gradient Optimization Techniques (10 papers), Sparse and Compressive Sensing Techniques (10 papers) and Advanced Optimization Algorithms Research (7 papers). Wen-Ting Wu is often cited by papers focused on Stochastic Gradient Optimization Techniques (10 papers), Sparse and Compressive Sensing Techniques (10 papers) and Advanced Optimization Algorithms Research (7 papers). Wen-Ting Wu collaborates with scholars based in China and Russia. Wen-Ting Wu's co-authors include Zhong‐Zhi Bai and Qi Zhu and has published in prestigious journals such as SIAM Journal on Scientific Computing, Journal of Computational and Applied Mathematics and Linear Algebra and its Applications.

In The Last Decade

Co-authorship network of co-authors of Wen-Ting Wu i

Fields of papers citing papers by Wen-Ting Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Wen-Ting Wu

Since Specialization
Citations

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