Shike Mei

6 papers and 243 indexed citations i.

About

Shike Mei is a scholar working on Artificial Intelligence, Health, Toxicology and Mutagenesis and Environmental Engineering. According to data from OpenAlex, Shike Mei has authored 6 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Health, Toxicology and Mutagenesis and 2 papers in Environmental Engineering. Recurrent topics in Shike Mei’s work include Topic Modeling (2 papers), Air Quality and Health Impacts (2 papers) and Adversarial Robustness in Machine Learning (2 papers). Shike Mei is often cited by papers focused on Topic Modeling (2 papers), Air Quality and Health Impacts (2 papers) and Adversarial Robustness in Machine Learning (2 papers). Shike Mei collaborates with scholars based in United States and China. Shike Mei's co-authors include Xiaojin Zhu, Charles R. Dyer, Junwei Zhu, Jun Zhu, Jing‐Li Fan, Dawei Yin, Bin Cao, Brian D. Davison and Jian-Tao Sun and has published in prestigious journals such as CiteSeer X (The Pennsylvania State University), International Conference on Machine Learning and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Shike Mei i

Fields of papers citing papers by Shike Mei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shike Mei

Since Specialization
Citations

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