Shouwei Gao

479 total citations
55 papers, 319 citations indexed

About

Shouwei Gao is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering and Civil and Structural Engineering. According to data from OpenAlex, Shouwei Gao has authored 55 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Cognitive Neuroscience, 12 papers in Electrical and Electronic Engineering and 7 papers in Civil and Structural Engineering. Recurrent topics in Shouwei Gao's work include EEG and Brain-Computer Interfaces (19 papers), Structural Health Monitoring Techniques (6 papers) and Advanced Adaptive Filtering Techniques (5 papers). Shouwei Gao is often cited by papers focused on EEG and Brain-Computer Interfaces (19 papers), Structural Health Monitoring Techniques (6 papers) and Advanced Adaptive Filtering Techniques (5 papers). Shouwei Gao collaborates with scholars based in China, Australia and South Korea. Shouwei Gao's co-authors include Xiaojin Zhu, Banghua Yang, Hua Wang, Xinxing Xia, Zhiyuan Gao, Jialin Zhao, Xiaojun Hu, Kwangnak Koh, Jun Ma and Yunzhe Li and has published in prestigious journals such as Advanced Functional Materials, IEEE Transactions on Biomedical Engineering and Sensors.

In The Last Decade

Shouwei Gao

49 papers receiving 306 citations

Peers

Shouwei Gao

EEE

CSE

D. Johnson United States

Yueling Chen China

Andrews Samraj India

Zhenyu Wang China

Xiaole Liu China

Jesús Requena Carrión Spain

Kyuwan Choi Japan

Xiaowei Zheng China

Xuehan Wang China

D. Johnson United States

Shouwei Gao

90 ×0.9

49 ×0.9

60 ×1.1

EEE

46 ×1.2

CSE

14 ×0.4

Citations per year, relative to Shouwei Gao Shouwei Gao (= 1×) peers D. Johnson

Countries citing papers authored by Shouwei Gao

Since Specialization

Citations

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

Fields of papers citing papers by Shouwei Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shouwei Gao

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

All Works

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20 of 20 papers shown

Yang, Banghua, et al.. (2025). STA-Net: Spatial–temporal alignment network for hybrid EEG-fNIRS decoding. Information Fusion. 119. 103023–103023. 5 indexed citations

Jin, Qingqing, Shouwei Gao, Yonghui Mao, et al.. (2025). Ultralow Haze Transparent Superamphiphobic Material Based on Nanoscale Reentrant Structure. Advanced Functional Materials. 36(12).

Gao, Shouwei, et al.. (2025). Sg-snn: a self-organizing spiking neural network based on temporal information. Cognitive Neurodynamics. 19(1). 14–14. 2 indexed citations

Lan, Weixia, Xian Wu, Tao Zhou, et al.. (2025). Highly sensitive tubular strain sensors: From nanofiber arrangements and conductive carbon materials perspectives. Materials Today Communications. 43. 111569–111569. 2 indexed citations

Yang, Banghua, et al.. (2024). FBSA-CNN: A convolutional neural network framework for EEG-based detection of non-acute methamphetamine use disorders. Biomedical Signal Processing and Control. 100. 106985–106985.

Yang, Banghua, et al.. (2024). Effect of acupuncture treatment for upper limb on cortical activation and functional connectivity: A fNIRS study. Biomedical Signal Processing and Control. 99. 106915–106915.

Gao, Shouwei, et al.. (2024). Assessment of rTMS treatment effects for methamphetamine use disorder based on EEG microstates. Behavioural Brain Research. 465. 114959–114959. 5 indexed citations

Gao, Shouwei, et al.. (2024). SSVEP-Enhanced Threat Detection and Its Impact on Image Segmentation. International Journal on Semantic Web and Information Systems. 20(1). 1–20. 6 indexed citations

Ma, Jun, et al.. (2024). Motor imagery decoding using source optimized transfer learning based on multi-loss fusion CNN. Cognitive Neurodynamics. 18(5). 2521–2534. 3 indexed citations

10.

Lan, Weixia, Xian Wu, Tao Zhou, et al.. (2024). Highly sensitive flexible strain sensors with novel tubular fiber design for human motion monitoring. Journal of Materials Science Materials in Electronics. 35(14). 2 indexed citations

11.

Gao, Shouwei, et al.. (2024). Enhancing SSEVP Classification via Hybrid Convolutional-Transformer Networks. 562–570.

12.

Gao, Shouwei, et al.. (2024). SGSAFormer: Spike Gated Self-Attention Transformer and Temporal Attention. Electronics. 14(1). 43–43. 1 indexed citations

13.

Li, Xiaoou, et al.. (2024). EEG-Based Feature Classification Combining 3D-Convolutional Neural Networks with Generative Adversarial Networks for Motor Imagery. Journal of Integrative Neuroscience. 23(8). 153–153. 3 indexed citations

14.

Ma, Jun, et al.. (2022). A large EEG dataset for studying cross-session variability in motor imagery brain-computer interface. Scientific Data. 9(1). 531–531. 45 indexed citations

15.

Yang, Banghua, et al.. (2021). Classification accuracy and functional difference prediction in different brain regions of drug abuser prefrontal lobe basing on machine-learning. Mathematical Biosciences & Engineering. 18(5). 5692–5706. 2 indexed citations

16.

Gu, Xuelin, et al.. (2021). Application of bi-modal signal in the classification and recognition of drug addiction degree based on machine learning. Mathematical Biosciences & Engineering. 18(5). 6926–6940. 7 indexed citations

17.

Zhao, Jialin, et al.. (2019). Analyte-resolved magnetoplasmonic nanocomposite to enhance SPR signals and dual recognition strategy for detection of BNP in serum samples. Biosensors and Bioelectronics. 141. 111440–111440. 45 indexed citations

18.

Gao, Shouwei, et al.. (2013). A synthetic decoding method of 3GPP multimedia broadcast/multicast services raptor codes. Journal of Shanghai Jiaotong University (Science). 18(6). 733–737. 2 indexed citations

19.

Gao, Shouwei, et al.. (2012). A CDS-based topology control algorithm in energy efficient Clustering. Chinese Control Conference. 6605–6610. 1 indexed citations

20.

Gao, Shouwei, et al.. (2007). An Enhanced NEH Method in Solving Permutation Flow Shop Problem. Journal of Shanghai Jiaotong University (Science). 12(1). 47–52. 2 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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