Bao‐Liang Lu

438 total papers · 18.9k total citations
269 papers, 11.7k citations indexed

About

Bao‐Liang Lu is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Artificial Intelligence. According to data from OpenAlex, Bao‐Liang Lu has authored 269 papers receiving a total of 11.7k indexed citations (citations by other indexed papers that have themselves been cited), including 115 papers in Cognitive Neuroscience, 105 papers in Experimental and Cognitive Psychology and 90 papers in Artificial Intelligence. Recurrent topics in Bao‐Liang Lu's work include EEG and Brain-Computer Interfaces (109 papers), Emotion and Mood Recognition (73 papers) and Gaze Tracking and Assistive Technology (43 papers). Bao‐Liang Lu is often cited by papers focused on EEG and Brain-Computer Interfaces (109 papers), Emotion and Mood Recognition (73 papers) and Gaze Tracking and Assistive Technology (43 papers). Bao‐Liang Lu collaborates with scholars based in China, Japan and United States. Bao‐Liang Lu's co-authors include Wei‐Long Zheng, Jiayi Zhu, Li-Chen Shi, Xiao‐Wei Wang, Yong Peng, Wei Liu, Yifei Lu, Andrzej Cichocki, Mu Li and Yun Luo and has published in prestigious journals such as Proceedings of the IEEE, IEEE Access and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Bao‐Liang Lu

248 papers receiving 11.4k citations

Hit Papers

Investigating Critical Fr... 2013 2026 2017 2021 2015 2018 2013 2017 2013 500 1000 1.5k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Bao‐Liang Lu 7.7k 6.4k 2.2k 1.9k 1.9k 269 11.7k
Thierry Pun 4.6k 0.6× 4.6k 0.7× 1.2k 0.5× 963 0.5× 4.9k 2.6× 216 11.3k
Wenming Zheng 3.3k 0.4× 4.4k 0.7× 1.6k 0.7× 988 0.5× 2.8k 1.5× 220 7.4k
Ioannis Patras 3.3k 0.4× 4.1k 0.6× 1.0k 0.5× 728 0.4× 2.8k 1.5× 180 7.1k
Jong‐Seok Lee 2.8k 0.4× 2.6k 0.4× 781 0.4× 556 0.3× 1.5k 0.8× 172 6.4k
Touradj Ebrahimi 4.0k 0.5× 2.7k 0.4× 1.5k 0.7× 1.0k 0.5× 11.3k 6.1× 518 17.4k
Dewen Hu 6.2k 0.8× 1.2k 0.2× 1.8k 0.8× 706 0.4× 1.6k 0.9× 367 11.6k
Qiang Ji 1.3k 0.2× 3.1k 0.5× 1.8k 0.8× 3.2k 1.7× 5.6k 3.0× 315 11.1k
Maja Pantić 4.0k 0.5× 12.1k 1.9× 4.3k 1.9× 2.2k 1.2× 12.3k 6.6× 342 22.4k
Cuntai Guan 14.7k 1.9× 1.3k 0.2× 2.4k 1.1× 3.5k 1.9× 845 0.5× 410 19.3k
Guoying Zhao 1.3k 0.2× 5.3k 0.8× 2.9k 1.3× 1.7k 0.9× 11.4k 6.1× 351 18.0k

Countries citing papers authored by Bao‐Liang Lu

Since Specialization
Citations

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

Fields of papers citing papers by Bao‐Liang Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bao‐Liang Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Bao‐Liang Lu. A scholar is included among the top collaborators of Bao‐Liang Lu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bao‐Liang Lu. Bao‐Liang Lu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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