Mei Lu

31 papers and 632 indexed citations i.

About

Mei Lu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Mei Lu has authored 31 papers receiving a total of 632 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Mei Lu’s work include Metaheuristic Optimization Algorithms Research (5 papers), Quantum Information and Cryptography (4 papers) and Construction Project Management and Performance (3 papers). Mei Lu is often cited by papers focused on Metaheuristic Optimization Algorithms Research (5 papers), Quantum Information and Cryptography (4 papers) and Construction Project Management and Performance (3 papers). Mei Lu collaborates with scholars based in China, United States and India. Mei Lu's co-authors include Xiangjun Zhao, Gai‐Ge Wang, Yanhong Feng, Jie Song, Yan Xia, Yongquan Dong, Nguyen Ba An, Li-Tuo Shen, Fanzhang Li and Suash Deb and has published in prestigious journals such as PLoS ONE, Physical Review A and Information Sciences.

In The Last Decade

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

Fields of papers citing papers by Mei Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mei Lu

Since Specialization
Citations

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