Weixun Wang

37 papers and 1.6k indexed citations i.

About

Weixun Wang is a scholar working on Hardware and Architecture, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Weixun Wang has authored 37 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Hardware and Architecture, 9 papers in Molecular Biology and 8 papers in Artificial Intelligence. Recurrent topics in Weixun Wang’s work include Parallel Computing and Optimization Techniques (10 papers), Reinforcement Learning in Robotics (8 papers) and Embedded Systems Design Techniques (8 papers). Weixun Wang is often cited by papers focused on Parallel Computing and Optimization Techniques (10 papers), Reinforcement Learning in Robotics (8 papers) and Embedded Systems Design Techniques (8 papers). Weixun Wang collaborates with scholars based in United States, China and Canada. Weixun Wang's co-authors include Michael H. Hecht, Prabhat Mishra, Hua Lin, Christopher H. Becker, M. Anderle, Scott M. Norton, Sushmita Roy, Praveen Kumar, Thomas A. Shaler and Haihong Zhou and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Analytical Chemistry.

In The Last Decade

Co-authorship network of co-authors of Weixun Wang i

Fields of papers citing papers by Weixun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Weixun Wang

Since Specialization
Citations

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