Yun Luo

29 papers and 831 indexed citations i.

About

Yun Luo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology. According to data from OpenAlex, Yun Luo has authored 29 papers receiving a total of 831 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 6 papers in Experimental and Cognitive Psychology. Recurrent topics in Yun Luo’s work include EEG and Brain-Computer Interfaces (5 papers), Sleep and Work-Related Fatigue (3 papers) and Emotion and Mood Recognition (3 papers). Yun Luo is often cited by papers focused on EEG and Brain-Computer Interfaces (5 papers), Sleep and Work-Related Fatigue (3 papers) and Emotion and Mood Recognition (3 papers). Yun Luo collaborates with scholars based in China, United States and Australia. Yun Luo's co-authors include Bao‐Liang Lu, Lianyong Qi, Xiaolong Xu, Shunmei Meng, Kai Peng, Xuyun Zhang, Qingxiang Liu, Yingying Jiao, Ziyu Wan and Qiang Yang and has published in prestigious journals such as IEEE Access, Neurocomputing and IEEE Transactions on Industrial Informatics.

In The Last Decade

Co-authorship network of co-authors of Yun Luo i

Fields of papers citing papers by Yun Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yun Luo

Since Specialization
Citations

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