Le Gao

About

Le Gao is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Le Gao has authored 82 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 13 papers in Cognitive Neuroscience and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Le Gao’s work include Functional Brain Connectivity Studies (8 papers), EEG and Brain-Computer Interfaces (7 papers) and Privacy-Preserving Technologies in Data (7 papers). Le Gao is often cited by papers focused on Functional Brain Connectivity Studies (8 papers), EEG and Brain-Computer Interfaces (7 papers) and Privacy-Preserving Technologies in Data (7 papers). Le Gao collaborates with scholars based in China, United States and Australia. Le Gao's co-authors include Sushil H. Bhavnani, Kevin J. Parker, Deborah J. Rubens, S. Kaisar Alam, Zhiqiang Zeng, Xia Zhang, Xiaonan Guo, Zhiyong Hong, Hong‐Shui Lv and Yanliang Lin and has published in prestigious journals such as Applied Physics Letters, The Science of The Total Environment and Radiology.

In The Last Decade

Co-authorship network of co-authors of Le Gao i

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Fields of papers citing papers by Le Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Le Gao

Since Specialization

Citations

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