Feng Shu

414 total citations
33 papers, 273 citations indexed

About

Feng Shu is a scholar working on Control and Systems Engineering, Cognitive Neuroscience and Biomedical Engineering. According to data from OpenAlex, Feng Shu has authored 33 papers receiving a total of 273 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Control and Systems Engineering, 9 papers in Cognitive Neuroscience and 8 papers in Biomedical Engineering. Recurrent topics in Feng Shu's work include EEG and Brain-Computer Interfaces (9 papers), Piezoelectric Actuators and Control (6 papers) and Obstructive Sleep Apnea Research (5 papers). Feng Shu is often cited by papers focused on EEG and Brain-Computer Interfaces (9 papers), Piezoelectric Actuators and Control (6 papers) and Obstructive Sleep Apnea Research (5 papers). Feng Shu collaborates with scholars based in China, United States and Netherlands. Feng Shu's co-authors include Wei Chen, Chen Chen, Xiaofeng Yang, Laishuan Wang, Huan Yu, Hongyu Chen, Zhi Li, Yonglin Wu, Wei Zhou and Chunmei Lu and has published in prestigious journals such as The Science of The Total Environment, IEEE Transactions on Industrial Electronics and IEEE Access.

In The Last Decade

Feng Shu

30 papers receiving 268 citations

Peers

Feng Shu

CSE

EEE

Anurag Nishad India

Lifu Gao China

Christian Hatzfeld Germany

Eileen Lee Ming Su Malaysia

Guozheng Xu China

Guokun Zuo China

Nan Bu Japan

Shumit Saha Canada

Alexandru Păsărică Romania

Jerzy Wtorek Poland

Anurag Nishad India

Feng Shu

167 ×1.9

98 ×1.2

70 ×1.1

CSE

32 ×0.9

22 ×0.7

EEE

Citations per year, relative to Feng Shu Feng Shu (= 1×) peers Anurag Nishad

Countries citing papers authored by Feng Shu

Since Specialization

Citations

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

Fields of papers citing papers by Feng Shu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Shu

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

Shu, Feng, Lin Gao, & Leyi Shi. (2025). CGFL: A Robust Federated Learning Approach for Intrusion Detection Systems Based on Data Generation. Applied Sciences. 15(5). 2416–2416. 3 indexed citations

Shu, Feng, Muhao Chen, Mingyu Gao, et al.. (2024). Soil microbial community construction under revegetation in newly created land. The Science of The Total Environment. 954. 176496–176496.

Zhou, Wei, Ligang Zhou, Huan Yu, et al.. (2024). PSEENet: A Pseudo-Siamese Neural Network Incorporating Electroencephalography and Electrooculography Characteristics for Heterogeneous Sleep Staging. IEEE Journal of Biomedical and Health Informatics. 28(9). 5189–5200. 4 indexed citations

Chen, Hongyu, Chunmei Lu, Shaoxue Pan, et al.. (2024). A Smart Wearable Device Using Graphene Material‐Based Sensor for Neonatal Respiration Monitoring. Journal of Sensors. 2024(1). 2 indexed citations

Yue, Han, et al.. (2024). Noise-Resilient Ptychographic Imaging with Deep Learning. 107. 1–2.

Shu, Feng, et al.. (2023). The Effect of Coupled Electroencephalography Signals in Electrooculography Signals on Sleep Staging Based on Deep Learning Methods. Bioengineering. 10(5). 573–573. 11 indexed citations

Wu, Yonglin, Yao Guo, Feng Shu, et al.. (2023). Towards Real-Time Sleep Stage Prediction and Online Calibration Based on Architecturally Switchable Deep Learning Models. IEEE Journal of Biomedical and Health Informatics. 28(1). 470–481. 3 indexed citations

Wang, Laishuan, et al.. (2023). MS-HNN: Multi-Scale Hierarchical Neural Network With Squeeze and Excitation Block for Neonatal Sleep Staging Using a Single-Channel EEG. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 31. 2195–2204. 19 indexed citations

Liu, Minghui, et al.. (2023). Cumulative Diversity Pattern Entropy (CDEn): A High-Performance, Almost-Parameter-Free Complexity Estimator for Nonstationary Time Series. IEEE Transactions on Industrial Informatics. 19(9). 9642–9653. 6 indexed citations

10.

Zhou, Wei, Yonglin Wu, Feng Shu, et al.. (2023). MaskSleepNet: A Cross-Modality Adaptation Neural Network for Heterogeneous Signals Processing in Sleep Staging. IEEE Journal of Biomedical and Health Informatics. 27(5). 2353–2364. 28 indexed citations

11.

Shu, Feng, et al.. (2023). A Wearable Functional Near-Infrared Spectroscopy (fNIRS) System for Obstructive Sleep Apnea Assessment. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 31. 1837–1846. 10 indexed citations

12.

Guo, Yao, Yonglin Wu, Xinyu Jiang, et al.. (2023). sEMG-Based Inter-Session Hand Gesture Recognition via Domain Adaptation with Locality Preserving and Maximum Margin. International Journal of Neural Systems. 34(3). 2450010–2450010. 9 indexed citations

13.

Zeng, Zheng, Ruizhi Su, Long Meng, et al.. (2023). Unsupervised Transfer Learning Approach With Adaptive Reweighting and Resampling Strategy for Inter-Subject EOG-Based Gaze Angle Estimation. IEEE Journal of Biomedical and Health Informatics. 28(1). 157–168. 8 indexed citations

14.

Shu, Feng, et al.. (2023). A composite neural network-based adaptive sliding mode control method for reluctance actuator maglev system. Neural Computing and Applications. 35(21). 15877–15890. 4 indexed citations

15.

Chen, Hongyu, Chunmei Lu, Feng Shu, et al.. (2023). Neonatal Seizure Detection Using a Wearable Multi-Sensor System. Bioengineering. 10(6). 658–658. 3 indexed citations

16.

Zhou, Wei, Hongyu Chen, Huan Yu, et al.. (2022). A Lightweight Segmented Attention Network for Sleep Staging by Fusing Local Characteristics and Adjacent Information. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 31. 238–247. 20 indexed citations

17.

Zhang, Xiuyu, et al.. (2022). Modeling and adaptive pseudo-inverse control for dielectric elastomer actuated motion control systems. Smart Materials and Structures. 31(9). 95037–95037. 1 indexed citations

18.

Liu, Weike, et al.. (2022). Quadrature Sinusoidal Signals Correction of Magnetic Encoders via Radial Basis Function Neural Network and Adaptive Loop Shaping. IEEE Transactions on Industrial Electronics. 70(11). 11527–11534. 11 indexed citations

19.

Shu, Feng, et al.. (2022). Retinal vessel image segmentation algorithm based on encoder-decoder structure. Multimedia Tools and Applications. 81(23). 33361–33373. 10 indexed citations

20.

Chen, Hongyu, Wei Chen, Chunmei Lu, et al.. (2020). Design of an Integrated Wearable Multi-Sensor Platform Based on Flexible Materials for Neonatal Monitoring. IEEE Access. 8. 23732–23747. 39 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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