Yu Sun

7.2k total citations · 1 hit paper
198 papers, 4.9k citations indexed

About

Yu Sun is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Experimental and Cognitive Psychology. According to data from OpenAlex, Yu Sun has authored 198 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 133 papers in Cognitive Neuroscience, 43 papers in Radiology, Nuclear Medicine and Imaging and 31 papers in Experimental and Cognitive Psychology. Recurrent topics in Yu Sun's work include Functional Brain Connectivity Studies (85 papers), EEG and Brain-Computer Interfaces (74 papers) and Neural dynamics and brain function (34 papers). Yu Sun is often cited by papers focused on Functional Brain Connectivity Studies (85 papers), EEG and Brain-Computer Interfaces (74 papers) and Neural dynamics and brain function (34 papers). Yu Sun collaborates with scholars based in China, Singapore and Greece. Yu Sun's co-authors include Nitish V. Thakor, Anastasios Bezerianos, Ying Han, Julian Lim, Junhua Li, Zhongxiang Dai, Hongtao Wang, Kang Sim, Kenneth Kwok and Simon L. Collinson and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and NeuroImage.

In The Last Decade

Yu Sun

184 papers receiving 4.8k citations

Hit 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.

Photoplethysmography Revisited: From Contact to Noncontact, From Point to Imaging

2015 402 citations Yu Sun, Nitish V. Thakor profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yu Sun China	40	2.7k	1.1k	1.0k	892	809	198	4.9k
Maarten De Vos Belgium	47	5.6k 2.1×	791 0.7×	959 0.9×	404 0.5×	1.2k 1.5×	263	8.2k
Mauro Ursino Italy	41	2.2k 0.8×	1.5k 1.3×	768 0.8×	828 0.9×	579 0.7×	249	5.8k
Anna Maria Bianchi Italy	41	2.3k 0.9×	1.8k 1.6×	1.6k 1.5×	320 0.4×	543 0.7×	328	5.9k
Andreas R. Luft Switzerland	55	2.9k 1.1×	911 0.8×	1.7k 1.6×	1.1k 1.2×	150 0.2×	256	11.4k
Roberto Hornero Spain	50	4.7k 1.8×	1.3k 1.2×	1.3k 1.3×	1.2k 1.3×	572 0.7×	352	8.7k
Yingchun Zhang China	37	2.1k 0.8×	315 0.3×	919 0.9×	719 0.8×	468 0.6×	350	4.8k
Luca Mainardi Italy	38	1.0k 0.4×	2.6k 2.3×	1.6k 1.6×	725 0.8×	283 0.3×	321	5.2k
Anastasios Bezerianos Greece	41	3.1k 1.2×	1.0k 0.9×	669 0.7×	427 0.5×	980 1.2×	259	5.8k
Michel J. A. M. van Putten Netherlands	47	3.6k 1.4×	814 0.7×	719 0.7×	328 0.4×	181 0.2×	227	7.0k
Ludovico Minati Italy	42	2.5k 0.9×	327 0.3×	235 0.2×	1.1k 1.2×	537 0.7×	184	5.2k

Countries citing papers authored by Yu Sun

Since Specialization

Citations

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

Fields of papers citing papers by Yu Sun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Sun

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

Gao, Lingyun, et al.. (2025). Brain Network Analysis Reveals Age-Related Differences in Topological Reorganization During Vigilance Decline. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 33. 3160–3170.

Kakkos, Iοannis, Xiaoyu Li, George K. Matsopoulos, et al.. (2025). FBCPM: A Filter Bank Connectome-Based Predictive Modeling Framework for EEG Signals. IEEE Journal of Biomedical and Health Informatics. 29(7). 4703–4715.

Wang, Yue, Hao Rong, Yu Sun, et al.. (2025). All‐Hydrogel‐Based Organic Electrochemical Transistors for Implantable Physiological Signal Monitoring. Advanced Science. 13(16). e17375–e17375.

Wu, Kuijun, et al.. (2024). EEG-Based Mental Workload Assessment in a Simulated Flight Task Using Single-Channel Brain Rhythm Sequence. IEEE Transactions on Instrumentation and Measurement. 73. 1–12. 1 indexed citations

Wu, Kuijun, et al.. (2024). Brain Network Reorganization in Response to Multilevel Mental Workload in Simulated Flight Tasks. IEEE Transactions on Cognitive and Developmental Systems. 17(3). 698–709. 2 indexed citations

Chen, Chuangquan, et al.. (2023). ST-CapsNet: Linking Spatial and Temporal Attention With Capsule Network for P300 Detection Improvement. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 31. 991–1000. 36 indexed citations

Qi, Xuchen, et al.. (2023). Altered Functional Brain Network Structure between Patients with High and Low Generalized Anxiety Disorder. Diagnostics. 13(7). 1292–1292. 8 indexed citations

Chen, Chuangquan, et al.. (2023). Self-Attentive Channel-Connectivity Capsule Network for EEG-Based Driving Fatigue Detection. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 31. 3152–3162. 41 indexed citations

Qi, Peng, Iοannis Kakkos, Kuijun Wu, et al.. (2023). Individualized Prediction of Task Performance Decline Using Pre-Task Resting-State Functional Connectivity. IEEE Journal of Biomedical and Health Informatics. 27(10). 4971–4982. 1 indexed citations

10.

Li, Gang, Jie Wang, Wanxiu Xu, et al.. (2023). Self-Regulation Phenomenon Emerged During Prolonged Fatigue Driving: An EEG Connectivity Study. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 31. 4895–4906. 7 indexed citations

11.

Li, Gang, et al.. (2023). Machine Learning Techniques Reveal Aberrated Multidimensional EEG Characteristics in Patients with Depression. Brain Sciences. 13(3). 384–384. 10 indexed citations

12.

Xu, Jie, et al.. (2023). Brain Network Reorganization During Visual Search Task Revealed by a Network Analysis of Fixation-Related Potential. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 31. 1219–1229. 10 indexed citations

13.

Shen, Zhongxia, et al.. (2022). Aberrated Multidimensional EEG Characteristics in Patients with Generalized Anxiety Disorder: A Machine-Learning Based Analysis Framework. Sensors. 22(14). 5420–5420. 32 indexed citations

14.

Li, Huayun, et al.. (2022). Driving Fatigue Detection with Three Non-Hair-Bearing EEG Channels and Modified Transformer Model. Entropy. 24(12). 1715–1715. 11 indexed citations

15.

Zhang, Yingchai, Yu Sun, Zhiwei He, et al.. (2021). Age‐specific thyrotropin references decrease over‐diagnosis of hypothyroidism in elderly patients in iodine‐excessive areas. Clinical Endocrinology. 101(5). 549–556. 9 indexed citations

16.

Meacham, Susan, et al.. (2019). Factors influencing high respiratory mortality in coal-mining counties: a repeated cross-sectional study. BMC Public Health. 19(1). 1484–1484. 4 indexed citations

17.

Wang, Xiaojie, Rui Zhang, Yu Sun, & Jianzhong Qi. (2019). Doubly robust joint learning for recommendation on data missing not at random. International Conference on Machine Learning. 6638–6647. 51 indexed citations

18.

Qi, Peng, Lingyun Gao, Jianjun Meng, et al.. (2019). Effects of Rest-Break on Mental Fatigue Recovery Determined by a Novel Temporal Brain Network Analysis of Dynamic Functional Connectivity. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 28(1). 62–71. 16 indexed citations

19.

Gong, Chen, Georgios Ν. Dimitrakopoulos, Iοannis Kakkos, et al.. (2017). Identification of gait-related brain activity using electroencephalographic signals. 548–551. 5 indexed citations

20.

Hu, Zhongjie, Can Sheng, Yu Sun, et al.. (2014). Structural and resting-state functional MRI characteristics of patients at high risk for Alzheimer’s disease. Chin J Neurol. 47(12). 824–830. 1 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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