Rui Cao

63 total papers · 2.0k total citations
43 papers, 1.4k citations indexed

About

Rui Cao is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Rui Cao has authored 43 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Cognitive Neuroscience, 10 papers in Computer Vision and Pattern Recognition and 6 papers in Artificial Intelligence. Recurrent topics in Rui Cao's work include Functional Brain Connectivity Studies (20 papers), EEG and Brain-Computer Interfaces (19 papers) and Neural dynamics and brain function (14 papers). Rui Cao is often cited by papers focused on Functional Brain Connectivity Studies (20 papers), EEG and Brain-Computer Interfaces (19 papers) and Neural dynamics and brain function (14 papers). Rui Cao collaborates with scholars based in China, Japan and Germany. Rui Cao's co-authors include Jie Xiang, Bin Wang, Yan Niu, Mengni Zhou, Hao Guo, Cheng Tian, Junjie Chen, Ting Hu, Conggai Li and Xiaohong Han and has published in prestigious journals such as Scientific Reports, Cerebral Cortex and IEEE Access.

In The Last Decade

Rui Cao

36 papers receiving 1.4k citations

Hit Papers

Epileptic Seizure Detecti... 2018 2026 2020 2023 2018 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Rui Cao 1.2k 305 247 208 205 43 1.4k
Rajamanickam Yuvaraj 1.3k 1.1× 307 1.0× 311 1.3× 273 1.3× 122 0.6× 48 1.8k
Manousos A. Klados 1.0k 0.9× 203 0.7× 151 0.6× 365 1.8× 181 0.9× 49 1.6k
Hartmut Dickhaus 697 0.6× 206 0.7× 320 1.3× 150 0.7× 135 0.7× 103 1.8k
Ardalan Aarabi 1.3k 1.1× 338 1.1× 189 0.8× 92 0.4× 364 1.8× 69 1.8k
Yan Niu 805 0.7× 191 0.6× 134 0.5× 84 0.4× 198 1.0× 66 1.2k
Toshimitsu Musha 1.1k 1.0× 162 0.5× 121 0.5× 117 0.6× 185 0.9× 48 1.7k
Hao Guo 818 0.7× 143 0.5× 105 0.4× 164 0.8× 174 0.8× 39 1.1k
Abhijit Bhattacharyya 989 0.8× 558 1.8× 433 1.8× 194 0.9× 71 0.3× 37 1.5k
P.Y. Ktonas 1.1k 0.9× 243 0.8× 85 0.3× 299 1.4× 127 0.6× 61 1.6k
Shreya Bhat 730 0.6× 209 0.7× 234 0.9× 65 0.3× 113 0.6× 20 1.3k

Countries citing papers authored by Rui Cao

Since Specialization
Citations

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

Fields of papers citing papers by Rui Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rui Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Rui Cao. A scholar is included among the top collaborators of Rui Cao 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 Rui Cao. Rui Cao 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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