Lei Cao

42 papers and 283 indexed citations i.

About

Lei Cao is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Cognitive Neuroscience. According to data from OpenAlex, Lei Cao has authored 42 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 6 papers in Computational Theory and Mathematics and 5 papers in Cognitive Neuroscience. Recurrent topics in Lei Cao’s work include Reinforcement Learning in Robotics (14 papers), Adaptive Dynamic Programming Control (6 papers) and Neuroscience and Neuropharmacology Research (5 papers). Lei Cao is often cited by papers focused on Reinforcement Learning in Robotics (14 papers), Adaptive Dynamic Programming Control (6 papers) and Neuroscience and Neuropharmacology Research (5 papers). Lei Cao collaborates with scholars based in China, United States and Switzerland. Lei Cao's co-authors include Adrian David Cheok, Chenxi Li, A. Sreekumar, Chaofang Hu, Hui Peng, Bin Ji, Jian Cao, Ruiqing Ni, Yihui Guan and Jianping Li and has published in prestigious journals such as Scientific Reports, Psychopharmacology and Frontiers in Plant Science.

In The Last Decade

Co-authorship network of co-authors of Lei Cao i

Fields of papers citing papers by Lei Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lei Cao

Since Specialization
Citations

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