Yuxuan Yang

2.5k total citations · 1 hit paper
47 papers, 2.1k citations indexed

About

Yuxuan Yang is a scholar working on Cognitive Neuroscience, Signal Processing and Experimental and Cognitive Psychology. According to data from OpenAlex, Yuxuan Yang has authored 47 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cognitive Neuroscience, 12 papers in Signal Processing and 12 papers in Experimental and Cognitive Psychology. Recurrent topics in Yuxuan Yang's work include EEG and Brain-Computer Interfaces (22 papers), Neural dynamics and brain function (10 papers) and Complex Systems and Time Series Analysis (10 papers). Yuxuan Yang is often cited by papers focused on EEG and Brain-Computer Interfaces (22 papers), Neural dynamics and brain function (10 papers) and Complex Systems and Time Series Analysis (10 papers). Yuxuan Yang collaborates with scholars based in China, Hong Kong and United Kingdom. Yuxuan Yang's co-authors include Zhongke Gao, Qing Cai, Weidong Dang, Xinmin Wang, Yanli Li, Chaoxu Mu, Ningde Jin, Siyang Zuo, Na Dong and Guanrong Chen and has published in prestigious journals such as Advanced Functional Materials, NeuroImage and Scientific Reports.

In The Last Decade

Yuxuan Yang

46 papers receiving 2.0k citations

Hit Papers

1 papers align trajectories

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.

EEG-Based Spatio–Temporal Convolutional Neural Network for Driver Fatigue Evaluation

2019 369 citations Zhongke Gao, Xinmin Wang et al. IEEE Transactions on Neural Networks and Learning Systems profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yuxuan Yang China	23	990	575	356	316	285	47	2.1k
Weidong Dang China	20	807 0.8×	386 0.7×	204 0.6×	178 0.6×	178 0.6×	47	1.6k
Qing Cai China	17	641 0.6×	348 0.6×	180 0.5×	175 0.6×	156 0.5×	41	1.3k
Ayan Seal India	34	403 0.4×	443 0.8×	39 0.1×	50 0.2×	161 0.6×	79	2.8k
Michael Eichler Netherlands	22	610 0.6×	125 0.2×	262 0.7×	124 0.4×	168 0.6×	51	1.8k
Zhentao Liu China	28	299 0.3×	770 1.3×	70 0.2×	36 0.1×	367 1.3×	183	2.8k
Rongrong Fu China	17	474 0.5×	395 0.7×	18 0.1×	68 0.2×	77 0.3×	67	1.1k
Xiangwei Zheng China	21	539 0.5×	449 0.8×	27 0.1×	23 0.1×	202 0.7×	136	1.6k
Sonya Coleman United Kingdom	22	367 0.4×	132 0.2×	237 0.7×	16 0.1×	88 0.3×	240	2.6k
Chao Wu China	21	980 1.0×	368 0.6×	27 0.1×	16 0.1×	285 1.0×	97	2.4k
Isak Gath Israel	22	575 0.6×	101 0.2×	58 0.2×	90 0.3×	475 1.7×	62	2.4k

Countries citing papers authored by Yuxuan Yang

Since Specialization

Citations

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

Fields of papers citing papers by Yuxuan Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuxuan Yang

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

Shi, Yuhao, Jichen Li, Yuxuan Yang, et al.. (2025). Recent Advances in Robotic Systems for Robot‐Assisted Transoral Surgical Procedures: A Systematic Review. 1(3). 2 indexed citations

Yang, Yuxuan & Yanli Li. (2025). Deep learning models as learners for EEG-based functional brain networks^*. Journal of Neural Engineering. 22(2). 26005–26005.

Yang, Yuxuan, et al.. (2025). A neuromorphic hardware architecture based on TTFS coding with temporal quantization for spiking neural networks. Integration. 103. 102403–102403. 1 indexed citations

Yang, Yuxuan, Shupeng Gai, Xuehui Liu, et al.. (2024). Design and applications of hole-selective self-assembled monolayers for perovskite photovoltaics. Chemical Engineering Journal. 504. 158870–158870. 5 indexed citations

Yang, Yuxuan, Yingying Huang, Hongyi Chen, Simin Liu, & Xiongzhi Zhang. (2024). An interfacial host–guest inclusion complex regulated supramolecular nanocomposite hydrogel showing tunable mechanical strength, self-healing, strain sensitivity and NIR responsiveness. Soft Matter. 20(33). 6648–6654. 2 indexed citations

Yang, Yuxuan, et al.. (2024). A Lightweight Model for Physiological Signals-Based Sleep Staging With Multiclass CAM for Model Explainability. IEEE Sensors Journal. 24(17). 27815–27823. 2 indexed citations

Yang, Yuxuan, et al.. (2021). A CNN identified by reinforcement learning-based optimization framework for EEG-based state evaluation. Journal of Neural Engineering. 18(4). 46059–46059. 21 indexed citations

Zhu, Xinshan, et al.. (2021). A gradient-based automatic optimization CNN framework for EEG state recognition. Journal of Neural Engineering. 19(1). 16009–16009. 11 indexed citations

Gao, Zhongke, Xinmin Wang, Yuxuan Yang, et al.. (2020). A Channel-Fused Dense Convolutional Network for EEG-Based Emotion Recognition. IEEE Transactions on Cognitive and Developmental Systems. 13(4). 945–954. 129 indexed citations

10.

Yang, Yuxuan & Zhongke Gao. (2020). A Multivariate Weighted Ordinal Pattern Transition Network for Characterizing Driver Fatigue Behavior from EEG Signals. International Journal of Bifurcation and Chaos. 30(8). 2050118–2050118. 13 indexed citations

11.

Gao, Zhongke, Xinmin Wang, Yuxuan Yang, et al.. (2019). EEG-Based Spatio–Temporal Convolutional Neural Network for Driver Fatigue Evaluation. IEEE Transactions on Neural Networks and Learning Systems. 30(9). 2755–2763. 369 indexed citations breakdown →

12.

Gao, Zhongke, Yanli Li, Yuxuan Yang, et al.. (2019). A Coincidence-Filtering-Based Approach for CNNs in EEG-Based Recognition. IEEE Transactions on Industrial Informatics. 16(11). 7159–7167. 48 indexed citations

13.

Yang, Yuxuan, Zhongke Gao, Yanli Li, et al.. (2019). A Complex Network-Based Broad Learning System for Detecting Driver Fatigue From EEG Signals. IEEE Transactions on Systems Man and Cybernetics Systems. 51(9). 5800–5808. 81 indexed citations

14.

Cai, Qing, Zhongke Gao, Yuxuan Yang, Weidong Dang, & Celso Grebogi. (2018). Multiplex Limited Penetrable Horizontal Visibility Graph from EEG Signals for Driver Fatigue Detection. International Journal of Neural Systems. 29(5). 1850057–1850057. 48 indexed citations

15.

Gao, Zhongke, Shan Li, Qing Cai, et al.. (2018). Relative Wavelet Entropy Complex Network for Improving EEG-Based Fatigue Driving Classification. IEEE Transactions on Instrumentation and Measurement. 68(7). 2491–2497. 72 indexed citations

16.

Gao, Zhongke, Kaili Zhang, Weidong Dang, et al.. (2018). An adaptive optimal-Kernel time-frequency representation-based complex network method for characterizing fatigued behavior using the SSVEP-based BCI system. Knowledge-Based Systems. 152. 163–171. 57 indexed citations

17.

Yang, Yuxuan, Zhongke Gao, Xinmin Wang, et al.. (2018). A recurrence quantification analysis-based channel-frequency convolutional neural network for emotion recognition from EEG. Chaos An Interdisciplinary Journal of Nonlinear Science. 28(8). 85724–85724. 62 indexed citations

18.

Gao, Zhongke, Weidong Dang, Chaoxu Mu, et al.. (2017). A Novel Multiplex Network-Based Sensor Information Fusion Model and Its Application to Industrial Multiphase Flow System. IEEE Transactions on Industrial Informatics. 14(9). 3982–3988. 77 indexed citations

19.

Gao, Zhongke, Weidong Dang, Shan Li, et al.. (2017). PageRank versatility analysis of multilayer modality-based network for exploring the evolution of oil-water slug flow. Scientific Reports. 7(1). 5493–5493. 3 indexed citations

20.

Gao, Zhongke, et al.. (2016). Multivariate multiscale complex network analysis of vertical upward oil-water two-phase flow in a small diameter pipe. Scientific Reports. 6(1). 20052–20052. 23 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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