Renping Yu

486 total citations
29 papers, 327 citations indexed

About

Renping Yu is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Neurology. According to data from OpenAlex, Renping Yu has authored 29 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cognitive Neuroscience, 9 papers in Computer Vision and Pattern Recognition and 7 papers in Neurology. Recurrent topics in Renping Yu's work include Functional Brain Connectivity Studies (11 papers), Neural dynamics and brain function (9 papers) and EEG and Brain-Computer Interfaces (9 papers). Renping Yu is often cited by papers focused on Functional Brain Connectivity Studies (11 papers), Neural dynamics and brain function (9 papers) and EEG and Brain-Computer Interfaces (9 papers). Renping Yu collaborates with scholars based in China, United States and South Korea. Renping Yu's co-authors include Dinggang Shen, Xiaobo Chen, Zhihui Wei, Xuan Fei, Le An, Han Zhang, Mingming Chen, Lishan Qiao, Seong‐Whan Lee and Pew‐Thian Yap and has published in prestigious journals such as IEEE Access, Pattern Recognition and Human Brain Mapping.

In The Last Decade

Renping Yu

25 papers receiving 325 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Renping Yu China 9 223 84 53 43 39 29 327
Andrew Michael United States 12 298 1.3× 136 1.6× 41 0.8× 13 0.3× 44 1.1× 22 486
Maite Termenón Spain 12 221 1.0× 171 2.0× 57 1.1× 63 1.5× 86 2.2× 14 413
Jianping Qiao China 12 129 0.6× 66 0.8× 28 0.5× 37 0.9× 33 0.8× 29 315
Sébastien Tourbier Switzerland 12 221 1.0× 145 1.7× 38 0.7× 14 0.3× 57 1.5× 26 400
Maite García‐Sebastián Spain 11 118 0.5× 62 0.7× 125 2.4× 53 1.2× 44 1.1× 24 329
Nguyen Thanh Duc South Korea 10 202 0.9× 138 1.6× 73 1.4× 113 2.6× 142 3.6× 16 557
Yuhu Shi China 12 234 1.0× 88 1.0× 37 0.7× 26 0.6× 34 0.9× 51 399
Marios Antonakakis Greece 12 345 1.5× 123 1.5× 23 0.4× 63 1.5× 28 0.7× 41 477
Peter Lee South Korea 11 107 0.5× 72 0.9× 82 1.5× 31 0.7× 16 0.4× 19 265

Countries citing papers authored by Renping Yu

Since Specialization
Citations

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

Fields of papers citing papers by Renping Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Renping Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Renping Yu. A scholar is included among the top collaborators of Renping Yu 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 Renping Yu. Renping Yu 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.
Zhang, Donghui, Dan Wang, Kai Lü, et al.. (2025). UKF-Based Model Parameter Estimation to Localize the Seizure Onset Zone in ECoG. IEEE Journal of Biomedical and Health Informatics. 29(9). 6613–6624.
2.
Yu, Renping, et al.. (2025). Weighted Multi-Modal Contrastive Learning Based Hybrid Network for Alzheimer’s Disease Diagnosis. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 33. 1135–1144.
3.
Chen, Mingming, et al.. (2024). Vagus nerve stimulation modulating the directed brain network of patients with drug-resistant epilepsy. Biomedical Signal Processing and Control. 95. 106361–106361. 4 indexed citations
4.
Wang, Dan, Donghui Zhang, Kai Lü, et al.. (2024). Real-Time Epileptic Seizure Prediction Method With Spatio-Temporal Information Transfer Learning. IEEE Journal of Biomedical and Health Informatics. 29(3). 2222–2232. 4 indexed citations
5.
Fei, Xuan, et al.. (2024). ACDF-YOLO: Attentive and Cross-Differential Fusion Network for Multimodal Remote Sensing Object Detection. Remote Sensing. 16(18). 3532–3532. 10 indexed citations
6.
7.
Chen, Mingming, et al.. (2024). Localizing the seizure onset zone and predicting the surgery outcomes in patients with drug-resistant epilepsy: A new approach based on the causal network. Computer Methods and Programs in Biomedicine. 258. 108483–108483. 2 indexed citations
8.
Liu, Xiumei, Renping Yu, Taotao Lai, et al.. (2024). Dynamic graph transformer network via dual-view connectivity for autism spectrum disorder identification. Computers in Biology and Medicine. 174. 108415–108415. 4 indexed citations
9.
Li, Kaijie, et al.. (2024). An EEG Study on $\boldsymbol{\upbeta\!\!-\!\!\upgamma}$ Phase-Amplitude Coupling-Based Functional Brain Network in Epilepsy Patients. IEEE Journal of Biomedical and Health Informatics. 28(6). 3446–3456. 2 indexed citations
10.
Yu, Renping, et al.. (2023). Sparsity‐guided multiple functional connectivity patterns for classification of schizophrenia via convolutional network. Human Brain Mapping. 44(12). 4523–4534. 5 indexed citations
11.
Yu, Renping, Han Zhang, Xuehai Wu, et al.. (2022). Outcome Prediction of Unconscious Patients Based on Weighted Sparse Brain Network Construction. IEEE Journal of Biomedical and Health Informatics. 27(1). 469–479. 3 indexed citations
12.
Chen, Mingming, Yajie Zhu, Rui Zhang, et al.. (2022). A model description of beta oscillations in the external globus pallidus. Cognitive Neurodynamics. 17(2). 477–487. 3 indexed citations
13.
Fei, Xuan, et al.. (2022). Temporal-spatial dynamic functional connectivity analysis in schizophrenia classification. Frontiers in Neuroscience. 16. 965937–965937. 11 indexed citations
14.
Chen, Mingming, Yajie Zhu, Renping Yu, et al.. (2020). Insights on the role of external globus pallidus in controlling absence seizures. Neural Networks. 135. 78–90. 13 indexed citations
15.
Yu, Renping, Lishan Qiao, Mingming Chen, et al.. (2019). Weighted graph regularized sparse brain network construction for MCI identification. Pattern Recognition. 90. 220–231. 53 indexed citations
16.
Fei, Xuan, et al.. (2018). Adaptive PCA transforms with geometric morphological grouping for image noise removal. Multimedia Tools and Applications. 77(18). 23353–23369. 3 indexed citations
17.
Yu, Renping, Liang Xiao, & Zhihui Wei. (2017). Coarse Classification to Region-Scalable Refining for White Matter Lesions Segmentation in Multi-Channel MRI. CNS & Neurological Disorders - Drug Targets. 16(2). 150–159. 2 indexed citations
18.
Yu, Renping, et al.. (2016). Learning‐based 3T brain MRI segmentation with guidance from 7T MRI labeling. Medical Physics. 43(12). 6588–6597. 8 indexed citations
19.
Yu, Renping, Han Zhang, Le An, et al.. (2016). Correlation-Weighted Sparse Group Representation for Brain Network Construction in MCI Classification. Lecture notes in computer science. 9900. 37–45. 16 indexed citations
20.
Yu, Renping, et al.. (2016). Learning-Based 3T Brain MRI Segmentation with Guidance from 7T MRI Labeling. Lecture notes in computer science. 10019. 213–220. 3 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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