Yingchun Zhang

6.8k total citations
350 papers, 4.8k citations indexed

About

Yingchun Zhang is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Yingchun Zhang has authored 350 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 115 papers in Cognitive Neuroscience, 72 papers in Biomedical Engineering and 47 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Yingchun Zhang's work include EEG and Brain-Computer Interfaces (75 papers), Muscle activation and electromyography studies (47 papers) and Functional Brain Connectivity Studies (38 papers). Yingchun Zhang is often cited by papers focused on EEG and Brain-Computer Interfaces (75 papers), Muscle activation and electromyography studies (47 papers) and Functional Brain Connectivity Studies (38 papers). Yingchun Zhang collaborates with scholars based in China, United States and Mexico. Yingchun Zhang's co-authors include Rihui Li, Feng Fang, Yunyuan Gao, Thomas Potter, Qingshan She, Yuliang Ma, Wen Chen, Bin He, Huayi Li and Thinh Nguyen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Gastroenterology.

In The Last Decade

Yingchun Zhang

327 papers receiving 4.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yingchun Zhang China 37 2.1k 919 719 570 468 350 4.8k
Bart Jansen Belgium 38 2.5k 1.2× 757 0.8× 333 0.5× 149 0.3× 197 0.4× 206 5.9k
Z. Jane Wang Canada 42 1.7k 0.8× 1.3k 1.4× 647 0.9× 251 0.4× 159 0.3× 255 7.7k
Ganesh R. Naik Australia 39 1.8k 0.8× 2.0k 2.2× 222 0.3× 216 0.4× 335 0.7× 173 4.3k
Francesco Carlo Morabito Italy 44 2.3k 1.1× 525 0.6× 263 0.4× 271 0.5× 158 0.3× 276 6.4k
Tomás Ward Ireland 34 1.8k 0.9× 1.5k 1.7× 752 1.0× 134 0.2× 103 0.2× 225 4.5k
Aiping Liu China 41 1.8k 0.9× 674 0.7× 246 0.3× 124 0.2× 420 0.9× 256 4.9k
Anastasios Bezerianos Greece 41 3.1k 1.5× 669 0.7× 427 0.6× 130 0.2× 980 2.1× 259 5.8k
Sridhar Krishnan Canada 39 1.0k 0.5× 1.3k 1.4× 236 0.3× 380 0.7× 236 0.5× 342 5.4k
Peng Wen Australia 29 1.7k 0.8× 434 0.5× 189 0.3× 285 0.5× 220 0.5× 194 3.1k

Countries citing papers authored by Yingchun Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Yingchun Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingchun Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Yingchun Zhang. A scholar is included among the top collaborators of Yingchun Zhang 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 Yingchun Zhang. Yingchun Zhang 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.
Cai, Liang, et al.. (2024). Facile synthesis of polymer-derived K, Ti co-doped Li4SiO4-based sorbent for efficient and stable post-combustion CO2 capture. Chemical Engineering Journal. 493. 152399–152399. 11 indexed citations
2.
Houston, Michael, et al.. (2024). Modulating Inter-Muscular Coordination Patterns in the Upper Extremity Induces Changes to Inter-Muscular, Cortico-Muscular, and Cortico-Cortical Connectivity. IEEE Journal of Biomedical and Health Informatics. 28(12). 7164–7174. 3 indexed citations
3.
She, Qingshan, et al.. (2024). LUCF-Net: Lightweight U-Shaped Cascade Fusion Network for Medical Image Segmentation. IEEE Journal of Biomedical and Health Informatics. 29(3). 2088–2099. 2 indexed citations
4.
Zhang, Yingchun, et al.. (2024). Low Light Image Enhancement Algorithm Based on Improved Retinex. 184–189. 1 indexed citations
6.
Zhang, Chuan, et al.. (2024). Effects of Type II Diabetes on upper extremity muscle characteristics in older adults. Neuroscience Letters. 844. 138039–138039. 1 indexed citations
7.
Fang, Feng, et al.. (2023). Test and re-test reliability of optimal stimulation targets and parameters for personalized neuromodulation. Frontiers in Neuroscience. 17. 1153786–1153786. 2 indexed citations
8.
Gao, Yunyuan, et al.. (2023). Hybrid EEG-fNIRS Brain Computer Interface Based on Common Spatial Pattern by Using EEG-Informed General Linear Model. IEEE Transactions on Instrumentation and Measurement. 72. 1–10. 28 indexed citations
9.
Zhang, Yu, et al.. (2023). Relationship between sarcopenic obesity and cognitive function in patients with mild to moderate Alzheimer's disease. Psychogeriatrics. 23(6). 944–953. 6 indexed citations
10.
Gao, Yunyuan, et al.. (2023). Analysis of Multiscale Corticomuscular Coupling Networks Based on Ordinal Patterns. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 32. 1045–1054. 1 indexed citations
11.
Xu, Xiao & Yingchun Zhang. (2023). Hydrodynamics and Mass Transfer in an Airlift Loop Reactor: Comparison between Using Two Kinds of Spargers. Processes. 12(1). 35–35. 6 indexed citations
12.
Xu, Fangzhou, Xiaoyan Xu, Yanan Sun, et al.. (2022). A framework for motor imagery with LSTM neural network. Computer Methods and Programs in Biomedicine. 218. 106692–106692. 27 indexed citations
13.
Fang, Feng, Beata R. Godlewska, Sudhakar Selvaraj, & Yingchun Zhang. (2022). Predicting Antidepressant Treatment Response Using Functional Brain Controllability Analysis. Brain Connectivity. 13(2). 107–116. 2 indexed citations
14.
Fang, Feng, Yunyuan Gao, Paul E. Schulz, Sudhakar Selvaraj, & Yingchun Zhang. (2021). Brain controllability distinctiveness between depression and cognitive impairment. Journal of Affective Disorders. 294. 847–856. 26 indexed citations
15.
Cicalese, Pietro Antonio, Rihui Li, Chushan Wang, et al.. (2020). An EEG-fNIRS hybridization technique in the four-class classification of alzheimer’s disease. Journal of Neuroscience Methods. 336. 108618–108618. 85 indexed citations
16.
Wu, Zhanxiong, et al.. (2019). Construction of brain structural connectivity network using a novel integrated algorithm based on ensemble average propagator. Computers in Biology and Medicine. 112. 103384–103384. 4 indexed citations
17.
Li, Yuting, Yifan Lin, Yang Liu, et al.. (2017). Therapeutic effect of endoscopic retrograde biliary drainage and nasal biliary drainage for hilar cholangiocarcinoma. Zhonghua xiaohua neijing zazhi. 34(7). 466–469. 1 indexed citations
18.
Peng, Yun, et al.. (2016). Motor unit number estimation based on high-density surface electromyography decomposition. Clinical Neurophysiology. 127(9). 3059–3065. 21 indexed citations
19.
Peng, Yun & Yingchun Zhang. (2014). Contributions of the Levator ani components to the urethral support function in women. Neurourology and Urodynamics. 1 indexed citations
20.
Zhang, Yingchun, Wim van Drongelen, Michael Kohrman, & Bin He. (2008). Three-dimensional brain current source reconstruction from intra-cranial ECoG recordings. NeuroImage. 42(2). 683–695. 56 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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