Baoyuan Wu

65 papers and 2.3k indexed citations i.

About

Baoyuan Wu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Baoyuan Wu has authored 65 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Computer Vision and Pattern Recognition, 41 papers in Artificial Intelligence and 9 papers in Signal Processing. Recurrent topics in Baoyuan Wu’s work include Adversarial Robustness in Machine Learning (23 papers), Anomaly Detection Techniques and Applications (15 papers) and Face and Expression Recognition (10 papers). Baoyuan Wu is often cited by papers focused on Adversarial Robustness in Machine Learning (23 papers), Anomaly Detection Techniques and Applications (15 papers) and Face and Expression Recognition (10 papers). Baoyuan Wu collaborates with scholars based in China, United States and Saudi Arabia. Baoyuan Wu's co-authors include Wei Liu, Siwei Lyu, Bernard Ghanem, Wenhan Luo, Zhenyu He, Xin Li, Chao Ma, Ming–Hsuan Yang, Yujiu Yang and Qiang Ji and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Co-authorship network of co-authors of Baoyuan Wu i

Fields of papers citing papers by Baoyuan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Baoyuan Wu

Since Specialization
Citations

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