Ruimin Peng

417 total citations
14 papers, 257 citations indexed

About

Ruimin Peng is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Psychiatry and Mental health. According to data from OpenAlex, Ruimin Peng has authored 14 papers receiving a total of 257 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 5 papers in Artificial Intelligence and 5 papers in Psychiatry and Mental health. Recurrent topics in Ruimin Peng's work include EEG and Brain-Computer Interfaces (9 papers), Epilepsy research and treatment (5 papers) and Neonatal and fetal brain pathology (3 papers). Ruimin Peng is often cited by papers focused on EEG and Brain-Computer Interfaces (9 papers), Epilepsy research and treatment (5 papers) and Neonatal and fetal brain pathology (3 papers). Ruimin Peng collaborates with scholars based in China and United States. Ruimin Peng's co-authors include Dongrui Wu, Xue Jiang, Yuqi Cui, Yifan Xu, Jerry M. Mendel, Jian Huang, Hai‐Tao Zhang, Ye Yuan, Jun Jiang and Jianbo Shao and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Fuzzy Systems and Neural Networks.

In The Last Decade

Ruimin Peng

13 papers receiving 249 citations

Peers

Ruimin Peng
Xue Jiang China
Xiaolin Hong China
Mario Michael Krell Germany
Yunbo Tang China
Katharine Brigham United States
Duanpo Wu China
Özlem Karabiber Cura Türkiye
Fan He China
Xiaomu Song United States
Jingyu Liu China
Xue Jiang China
Ruimin Peng
Citations per year, relative to Ruimin Peng Ruimin Peng (= 1×) peers Xue Jiang

Countries citing papers authored by Ruimin Peng

Since Specialization
Citations

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

Fields of papers citing papers by Ruimin Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruimin Peng

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

All Works

14 of 14 papers shown
1.
Peng, Ruimin, et al.. (2025). Sparse knowledge sharing (SKS) for privacy-preserving domain incremental seizure detection. Journal of Neural Engineering. 22(2). 26003–26003. 2 indexed citations
2.
3.
Peng, Ruimin, et al.. (2024). Multi-Branch Mutual-Distillation Transformer for EEG-Based Seizure Subtype Classification. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 32. 831–839. 13 indexed citations
4.
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Peng, Ruimin, et al.. (2023). Source-Free Domain Adaptation (SFDA) for Privacy-Preserving Seizure Subtype Classification. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 31. 2315–2325. 13 indexed citations
6.
Peng, Ruimin, et al.. (2023). Bagging and Boosting Fine-Tuning for Ensemble Learning. IEEE Transactions on Artificial Intelligence. 5(4). 1728–1742. 14 indexed citations
7.
Wu, Dongrui, Ruimin Peng, & Jerry M. Mendel. (2023). Type-1 and Interval Type-2 Fuzzy Systems [AI- eXplained]. IEEE Computational Intelligence Magazine. 18(1). 81–83. 20 indexed citations
8.
Peng, Ruimin, et al.. (2023). Mixture of Experts for EEG-Based Seizure Subtype Classification. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 31. 4781–4789. 7 indexed citations
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Wu, Dongrui, et al.. (2022). BoostTree and BoostForest for Ensemble Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(7). 1–17. 36 indexed citations
11.
Wu, Dongrui, Xue Jiang, & Ruimin Peng. (2022). Transfer learning for motor imagery based brain–computer interfaces: A tutorial. Neural Networks. 153. 235–253. 76 indexed citations
12.
Peng, Ruimin, Jun Jiang, Yuqi Cui, et al.. (2022). TIE-EEGNet: Temporal Information Enhanced EEGNet for Seizure Subtype Classification. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 30. 2567–2576. 34 indexed citations
13.
Cui, Yuqi, Yifan Xu, Ruimin Peng, & Dongrui Wu. (2022). Layer Normalization for TSK Fuzzy System Optimization in Regression Problems. IEEE Transactions on Fuzzy Systems. 31(1). 254–264. 32 indexed citations
14.
Wu, Dongrui, Ruimin Peng, Jian Huang, & Zhigang Zeng. (2020). Transfer Learning for Brain-Computer Interfaces: A Complete Pipeline. arXiv (Cornell University). 4 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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