Bingzhe Wu

29 papers and 264 indexed citations i.

About

Bingzhe Wu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Bingzhe Wu has authored 29 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Information Systems. Recurrent topics in Bingzhe Wu’s work include Privacy-Preserving Technologies in Data (8 papers), Advanced Graph Neural Networks (4 papers) and Stochastic Gradient Optimization Techniques (4 papers). Bingzhe Wu is often cited by papers focused on Privacy-Preserving Technologies in Data (8 papers), Advanced Graph Neural Networks (4 papers) and Stochastic Gradient Optimization Techniques (4 papers). Bingzhe Wu collaborates with scholars based in China, United States and Hong Kong. Bingzhe Wu's co-authors include Chaochao Chen, Xiaolin Zheng, Li Wang, Jun Zhou, Qi Yuan, Guangyu Sun, Shiwan Zhao, Qian Bai, Jun Zhou and Li Wang and has published in prestigious journals such as Nature Methods, IEEE Transactions on Neural Networks and Learning Systems and The International Journal of Advanced Manufacturing Technology.

In The Last Decade

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

Fields of papers citing papers by Bingzhe Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Bingzhe Wu

Since Specialization
Citations

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