Rongrong Fu

1.5k total citations
67 papers, 1.1k citations indexed

About

Rongrong Fu is a scholar working on Cognitive Neuroscience, Human-Computer Interaction and Experimental and Cognitive Psychology. According to data from OpenAlex, Rongrong Fu has authored 67 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Cognitive Neuroscience, 15 papers in Human-Computer Interaction and 12 papers in Experimental and Cognitive Psychology. Recurrent topics in Rongrong Fu's work include EEG and Brain-Computer Interfaces (36 papers), Blind Source Separation Techniques (10 papers) and Neuroscience and Neural Engineering (10 papers). Rongrong Fu is often cited by papers focused on EEG and Brain-Computer Interfaces (36 papers), Blind Source Separation Techniques (10 papers) and Neuroscience and Neural Engineering (10 papers). Rongrong Fu collaborates with scholars based in China, United States and Canada. Rongrong Fu's co-authors include Hong Wang, Fuwang Wang, Hong Wang, Wenbo Zhao, Peiming Shi, Dongying Han, Tiantian Bao, Mengmeng Han, Chengcheng Jia and Junxiang Chen and has published in prestigious journals such as Chemical Communications, Expert Systems with Applications and Experimental Brain Research.

In The Last Decade

Rongrong Fu

57 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rongrong Fu China 17 474 395 197 192 122 67 1.1k
Weidong Dang China 20 807 1.7× 386 1.0× 220 1.1× 231 1.2× 61 0.5× 47 1.6k
Mehmet Akın Türkiye 14 710 1.5× 255 0.6× 253 1.3× 232 1.2× 75 0.6× 25 1.1k
Kaiquan Shen Singapore 11 554 1.2× 346 0.9× 231 1.2× 115 0.6× 143 1.2× 21 1.0k
Smith K. Khare India 26 1.2k 2.4× 434 1.1× 461 2.3× 182 0.9× 62 0.5× 43 1.8k
Yuliang Ma China 18 527 1.1× 282 0.7× 85 0.4× 139 0.7× 38 0.3× 51 840
Yongxiong Wang China 19 652 1.4× 528 1.3× 151 0.8× 126 0.7× 85 0.7× 85 1.7k
Chongxun Zheng China 14 386 0.8× 181 0.5× 174 0.9× 104 0.5× 120 1.0× 46 715
Yin Tian China 21 985 2.1× 167 0.4× 118 0.6× 66 0.3× 73 0.6× 96 1.4k
Qiang Gao China 23 584 1.2× 392 1.0× 75 0.4× 140 0.7× 25 0.2× 133 1.5k
Jian Shen China 20 600 1.3× 419 1.1× 153 0.8× 80 0.4× 109 0.9× 54 1.7k

Countries citing papers authored by Rongrong Fu

Since Specialization
Citations

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

Fields of papers citing papers by Rongrong Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rongrong Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Rongrong Fu. A scholar is included among the top collaborators of Rongrong Fu 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 Rongrong Fu. Rongrong Fu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wang, Fuwang, et al.. (2025). Dynamic Hierarchical Convolutional Attention Network for Recognizing Motor Imagery Intention. IEEE Transactions on Cybernetics. 55(5). 2202–2212.
2.
Hua, Chengcheng, et al.. (2025). Dual-pathway EEG model with channel attention for virtual reality motion sickness detection. Journal of Neuroscience Methods. 418. 110425–110425.
3.
Fu, Rongrong, et al.. (2025). A convolutional transformer network with adaptation learning modules for enhancing motor imagery classification. Expert Systems with Applications. 269. 126381–126381. 2 indexed citations
4.
Fu, Rongrong, et al.. (2024). sEMG Signal Gesture Recognition Method Based on Dung Beetle Optimized Random Forest. IEEE Sensors Journal. 24(19). 30635–30642.
5.
Chen, Junxiang, et al.. (2024). EEG emotion recognition using EEG-SWTNS neural network through EEG spectral image. Information Sciences. 680. 121198–121198. 24 indexed citations
6.
Fu, Rongrong, et al.. (2024). Dynamical Differential Covariance Based Brain Network for Motor Intent Recognition. IEEE Sensors Journal. 24(5). 6515–6522. 7 indexed citations
7.
Fu, Rongrong, et al.. (2024). Effectiveness of Adaptive Attention-Based Network for Situation Awareness Recognition. IEEE Sensors Journal. 24(12). 20092–20102. 1 indexed citations
8.
Fu, Rongrong, et al.. (2024). Exploring non-Euclidean relationships in EEG emotion recognition: A dynamic graph attention network. Biomedical Signal Processing and Control. 94. 106276–106276. 13 indexed citations
9.
Wang, Fuwang, et al.. (2024). Research on low-power driving fatigue monitoring method based on spiking neural network. Experimental Brain Research. 242(10). 2457–2471. 1 indexed citations
10.
Wang, Fuwang, et al.. (2024). Improving two-dimensional linear discriminant analysis with L1 norm for optimizing EEG signal. Information Sciences. 690. 121585–121585. 2 indexed citations
11.
Wang, Fuwang, et al.. (2024). Study on a Novel Electrode With Automatic Replenishment of Conductive Fluid for Use in the Built Environment. IEEE Transactions on Instrumentation and Measurement. 73. 1–14. 1 indexed citations
12.
Fu, Rongrong, et al.. (2024). A Dual Training Framework Addressing Channel and Frequency Discrepancies in SSVEP Classification. IEEE Sensors Journal. 25(1). 971–979. 1 indexed citations
13.
Fu, Rongrong, et al.. (2023). Transformer-BLS: An efficient learning algorithm based on multi-head attention mechanism and incremental learning algorithms. Expert Systems with Applications. 238. 121734–121734. 22 indexed citations
14.
Fu, Rongrong, et al.. (2023). EEGNet-MSD: A Sparse Convolutional Neural Network for Efficient EEG-Based Intent Decoding. IEEE Sensors Journal. 23(17). 19684–19691. 16 indexed citations
15.
16.
Wang, Shiwei, et al.. (2023). Motor intent recognition of multi-feature fusion EEG signals by UMAP algorithm. Medical & Biological Engineering & Computing. 61(10). 2665–2676. 3 indexed citations
17.
Wang, Fuwang, et al.. (2023). ECG-Based Real-Time Drivers’ Fatigue Detection Using a Novel Elastic Dry Electrode. IEEE Transactions on Instrumentation and Measurement. 73. 1–16. 10 indexed citations
18.
Wang, Fuwang, et al.. (2022). Research on driving fatigue detection based on basic scale entropy and MVAR-PSI. Biomedical Physics & Engineering Express. 8(5). 55005–55005. 3 indexed citations
19.
Fu, Rongrong, et al.. (2019). Improvement Motor Imagery EEG Classification Based on Regularized Linear Discriminant Analysis. Journal of Medical Systems. 43(6). 169–169. 56 indexed citations
20.
Fu, Rongrong. (2011). Calculation of Sensitivity Field of Electrical Capacitance Tomography System Based on COMSOL.

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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