Rui Cao

2.0k total citations · 1 hit paper
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 Australia. Rui Cao's co-authors include Jie Xiang, Bin Wang, Yan Niu, Mengni Zhou, Hao Guo, Cheng Tian, Ting Hu, Junjie Chen, 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

37 papers receiving 1.4k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Epileptic Seizure Detection Based on EEG Signals and CNN

2018 334 citations Mengni Zhou, Cheng Tian et al. Frontiers in Neuroinformatics profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Rui Cao China	19	1.2k	306	247	208	206	43	1.4k
Rajamanickam Yuvaraj Singapore	21	1.3k 1.1×	308 1.0×	312 1.3×	275 1.3×	123 0.6×	48	1.8k
Ardalan Aarabi France	24	1.3k 1.1×	339 1.1×	189 0.8×	92 0.4×	364 1.8×	69	1.9k
Yan Niu China	18	821 0.7×	193 0.6×	135 0.5×	85 0.4×	202 1.0×	67	1.2k
Shreya Bhat India	12	736 0.6×	210 0.7×	235 1.0×	66 0.3×	113 0.5×	21	1.3k
Amir Adeli United States	14	1.7k 1.4×	424 1.4×	468 1.9×	185 0.9×	197 1.0×	24	2.2k
Jesús Poza Spain	28	1.9k 1.6×	125 0.4×	326 1.3×	180 0.9×	360 1.7×	119	2.6k
Toshimitsu Musha Japan	19	1.2k 1.0×	161 0.5×	121 0.5×	118 0.6×	185 0.9×	48	1.7k
Zhiguo Zhang China	23	1.3k 1.1×	85 0.3×	165 0.7×	373 1.8×	172 0.8×	130	1.9k
Fali Li China	31	2.6k 2.2×	257 0.8×	222 0.9×	509 2.4×	158 0.8×	151	3.2k

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Li, Jin, Xin Wen, Jia Li, et al.. (2025). A Transformer-based model fusing temporal dependence and variable correlation for short and medium-term electricity price forecasting. Energy. 338. 138799–138799.

Li, Jin, Ziyang Ma, Rui Cao, et al.. (2025). Progressive Residual Extraction Based Pre-Training for Speech Representation Learning. IEEE Transactions on Audio Speech and Language Processing. 33. 1825–1837.

Wang, Peng, Xin Wen, Yuanyuan Guo, et al.. (2025). MCDGLN: Masked connection-based dynamic graph learning network for autism spectrum disorder. Brain Research Bulletin. 224. 111290–111290.

Zhang, Jinhao, et al.. (2024). Subject-Independent Emotion Recognition Based on EEG Frequency Band Features and Self-Adaptive Graph Construction. Brain Sciences. 14(3). 271–271. 12 indexed citations

Wen, Xin, et al.. (2023). Subject-Independent EEG Classification of Motor Imagery Based on Dual-Branch Feature Fusion. Brain Sciences. 13(7). 1109–1109. 6 indexed citations

Wang, Jun, et al.. (2022). B-YOLOX-S: A Lightweight Method for Underwater Object Detection Based on Data Augmentation and Multiscale Feature Fusion. Journal of Marine Science and Engineering. 10(11). 1764–1764. 14 indexed citations

Yu, Hui, et al.. (2021). Detection and Segmentation of Breast Masses Based on Multi-Layer Feature Fusion. Methods. 202. 54–61. 6 indexed citations

Niu, Yan, Jie Sun, Bin Wang, et al.. (2020). Comparing Test-Retest Reliability of Entropy Methods: Complexity Analysis of Resting-State fMRI. IEEE Access. 8. 124437–124450. 12 indexed citations

Xiang, Jie, Xin Wang, Yuan Gao, et al.. (2020). Phosphodiesterase 4D Gene Modifies the Functional Network of Patients With Mild Cognitive Impairment and Alzheimer’s Disease. Frontiers in Genetics. 11. 890–890. 4 indexed citations

10.

Cao, Rui, Xin Wang, Yuan Gao, et al.. (2020). Abnormal Anatomical Rich-Club Organization and Structural–Functional Coupling in Mild Cognitive Impairment and Alzheimer's Disease. Frontiers in Neurology. 11. 53–53. 60 indexed citations

11.

Wang, Bin, Gongshu Wang, Xin Wang, et al.. (2019). Rich-Club Analysis in Adults With ADHD Connectomes Reveals an Abnormal Structural Core Network. Journal of Attention Disorders. 25(8). 1068–1079. 19 indexed citations

12.

Xiang, Jie, Jiayue Xue, Hao Guo, et al.. (2019). Graph-based network analysis of resting-state fMRI: test-retest reliability of binarized and weighted networks. Brain Imaging and Behavior. 14(5). 1361–1372. 18 indexed citations

13.

Xiang, Jie, Cheng Tian, Yan Niu, et al.. (2019). Abnormal Entropy Modulation of the EEG Signal in Patients With Schizophrenia During the Auditory Paired-Stimulus Paradigm. Frontiers in Neuroinformatics. 13. 4–4. 20 indexed citations

14.

Niu, Yan, Rui Cao, Huiyun Wang, et al.. (2019). Permutation Fuzzy Entropy—An Index for the Analysis of Epileptic Electroencephalogram. Journal of Medical Imaging and Health Informatics. 9(3). 637–645. 8 indexed citations

15.

Wang, Bin, Peizhen Li, Dandan Li, et al.. (2018). Increased Functional Brain Network Efficiency During Audiovisual Temporal Asynchrony Integration Task in Aging. Frontiers in Aging Neuroscience. 10. 316–316. 21 indexed citations

16.

Niu, Yan, Bin Wang, Mengni Zhou, et al.. (2018). Dynamic Complexity of Spontaneous BOLD Activity in Alzheimer’s Disease and Mild Cognitive Impairment Using Multiscale Entropy Analysis. Frontiers in Neuroscience. 12. 677–677. 38 indexed citations

17.

Zhou, Mengni, Cheng Tian, Rui Cao, et al.. (2018). Epileptic Seizure Detection Based on EEG Signals and CNN. Frontiers in Neuroinformatics. 12. 95–95. 334 indexed citations breakdown →

18.

Wang, Bin, Yan Niu, Rui Cao, et al.. (2017). Decreased Complexity in Alzheimer's Disease: Resting-State fMRI Evidence of Brain Entropy Mapping. Frontiers in Aging Neuroscience. 9. 378–378. 91 indexed citations

19.

Liang, Hong, et al.. (2014). AD classification based on brain functional network using ADNI. Biotechnology : an Indian journal. 10(24). 1 indexed citations

20.

Cao, Rui, et al.. (2014). Disturbed Connectivity of EEG Functional Networks in Alcoholism: A Graph-Theoretic Analysis. Bio-Medical Materials and Engineering. 24(6). 2927–2936. 25 indexed citations

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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