Wei Wan

40 papers and 456 indexed citations i.

About

Wei Wan is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computer Networks and Communications. According to data from OpenAlex, Wei Wan has authored 40 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 11 papers in Atomic and Molecular Physics, and Optics and 7 papers in Computer Networks and Communications. Recurrent topics in Wei Wan’s work include Quantum Information and Cryptography (10 papers), Cold Atom Physics and Bose-Einstein Condensates (7 papers) and Adversarial Robustness in Machine Learning (7 papers). Wei Wan is often cited by papers focused on Quantum Information and Cryptography (10 papers), Cold Atom Physics and Bose-Einstein Condensates (7 papers) and Adversarial Robustness in Machine Learning (7 papers). Wei Wan collaborates with scholars based in China, Australia and United States. Wei Wan's co-authors include Hua Xu, Wenhao Zhang, Wei Chen, Tengjiao Wang, Xiao Zhang, Mang Feng, Wei Wang, Shengshan Hu, Leo Yu Zhang and Fei Zhou and has published in prestigious journals such as Bioinformatics, Scientific Reports and Physical Review A.

In The Last Decade

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

Fields of papers citing papers by Wei Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Wei Wan

Since Specialization
Citations

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