Yunduan Cui

1.1k total citations
63 papers, 750 citations indexed

About

Yunduan Cui is a scholar working on Artificial Intelligence, Control and Systems Engineering and Automotive Engineering. According to data from OpenAlex, Yunduan Cui has authored 63 papers receiving a total of 750 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 28 papers in Control and Systems Engineering and 13 papers in Automotive Engineering. Recurrent topics in Yunduan Cui's work include Reinforcement Learning in Robotics (26 papers), Adaptive Dynamic Programming Control (12 papers) and Robot Manipulation and Learning (10 papers). Yunduan Cui is often cited by papers focused on Reinforcement Learning in Robotics (26 papers), Adaptive Dynamic Programming Control (12 papers) and Robot Manipulation and Learning (10 papers). Yunduan Cui collaborates with scholars based in China, Japan and South Korea. Yunduan Cui's co-authors include Takamitsu Matsubara, Chunhua Zheng, Eiji Uchibe, Huiyun Li, Kenji Sugimoto, Suk Won, Jiaye Ye, Lei Peng, Namwook Kim and Kazuhiko Takahashi and has published in prestigious journals such as Journal of Power Sources, Energy and IEEE Transactions on Vehicular Technology.

In The Last Decade

Yunduan Cui

57 papers receiving 736 citations

Peers

Yunduan Cui
Marcel Menner United States
Tim de Bruin Netherlands
Kai Zenger Finland
I-Hsum Li Taiwan
Liting Sun United States
Marcel Menner United States
Yunduan Cui
Citations per year, relative to Yunduan Cui Yunduan Cui (= 1×) peers Marcel Menner

Countries citing papers authored by Yunduan Cui

Since Specialization
Citations

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

Fields of papers citing papers by Yunduan Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunduan Cui

This figure shows the co-authorship network connecting the top 25 collaborators of Yunduan Cui. A scholar is included among the top collaborators of Yunduan Cui 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 Yunduan Cui. Yunduan Cui 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.
Li, Baomin, et al.. (2025). An improved energy management strategy of fuel cell hybrid vehicles based on proximal policy optimization algorithm. Energy. 317. 134585–134585. 8 indexed citations
2.
Cui, Yunduan, Jian Cui, Longhui Qin, et al.. (2025). Dual Autoencoder-Based Joint Learning: Enhancing Depth Classification of Hard Inclusions in Soft Tissue for Robotic Palpation. IEEE/ASME Transactions on Mechatronics. 30(6). 5143–5154.
3.
Cui, Yunduan, et al.. (2025). Effective Probabilistic Neural Networks Model for Model-Based Reinforcement Learning USV. IEEE Transactions on Automation Science and Engineering. 22. 11625–11641. 4 indexed citations
4.
Gong, Ming, Zhengkun Yi, Yidong Chen, Huiyun Li, & Yunduan Cui. (2025). Reducing the value function over-estimation by Kullback-Leibler divergence regularized distributional actor-critic. Applied Intelligence. 55(11).
5.
Li, Huiyun, et al.. (2024). Adaptive sensor attack detection and defense framework for autonomous vehicles based on density. Computers & Security. 148. 104149–104149.
6.
Liu, Qi, et al.. (2024). MCAGU-Net: A model for composite fault diagnosis of multi-sensor node networks. Engineering Applications of Artificial Intelligence. 141. 109814–109814. 2 indexed citations
7.
Cui, Yunduan, et al.. (2024). Spread of parking difficulty in urban environments: A parking network perspective. IET Intelligent Transport Systems. 18(8). 1494–1510. 1 indexed citations
8.
Xu, Kun, et al.. (2024). Efficient Robot Manipulation via Reinforcement Learning with Dynamic Movement Primitives-Based Policy. Applied Sciences. 14(22). 10665–10665. 1 indexed citations
9.
Huang, Wenjun, Yunduan Cui, Huiyun Li, & Xinyu Wu. (2024). Practical Probabilistic Model-Based Reinforcement Learning by Integrating Dropout Uncertainty and Trajectory Sampling. IEEE Transactions on Neural Networks and Learning Systems. 36(7). 12812–12826. 5 indexed citations
10.
Cui, Yunduan, et al.. (2024). Controlling Partially Observed Industrial System Based on Offline Reinforcement Learning—A Case Study of Paste Thickener. IEEE Transactions on Industrial Informatics. 21(1). 49–59. 3 indexed citations
11.
Li, Huiyun, et al.. (2024). Adaptive attack recognition method based on probability model for autonomous vehicle. Electronics Letters. 60(11).
12.
Cui, Yunduan, et al.. (2024). Efficient multi-agent reinforcement learning HVAC power consumption optimization. Energy Reports. 12. 5420–5431. 3 indexed citations
13.
Liu, Jia, et al.. (2024). Reinforcement Learning-Based High-Speed Path Following Control for Autonomous Vehicles. IEEE Transactions on Vehicular Technology. 73(6). 7603–7615. 20 indexed citations
14.
Cui, Yunduan, et al.. (2023). Probabilistic Model-Based Reinforcement Learning Unmanned Surface Vehicles Using Local Update Sparse Spectrum Approximation. IEEE Transactions on Industrial Informatics. 20(2). 1283–1293. 7 indexed citations
15.
Chen, Guo, et al.. (2023). Toward Directed Spatiotemporal Graph: A New Idea for Heterogeneous Traffic Prediction. IEEE Intelligent Transportation Systems Magazine. 16(2). 70–87. 7 indexed citations
16.
Li, Huiyun, et al.. (2023). Efficient distributional reinforcement learning with Kullback-Leibler divergence regularization. Applied Intelligence. 53(21). 24847–24863. 6 indexed citations
17.
Cui, Yunduan, Yao Xiao, Shengxiang Fu, et al.. (2023). An Improved Soft Actor-Critic-Based Energy Management Strategy of Fuel Cell Hybrid Vehicles with a Nonlinear Fuel Cell Degradation Model. International Journal of Precision Engineering and Manufacturing-Green Technology. 11(1). 183–202. 7 indexed citations
18.
Cui, Yunduan, Lei Peng, & Huiyun Li. (2022). Filtered Probabilistic Model Predictive Control-Based Reinforcement Learning for Unmanned Surface Vehicles. IEEE Transactions on Industrial Informatics. 18(10). 6950–6961. 45 indexed citations
19.
Cui, Yunduan, Takamitsu Matsubara, & Kenji Sugimoto. (2017). Kernel dynamic policy programming: Applicable reinforcement learning to robot systems with high dimensional states. Neural Networks. 94. 13–23. 19 indexed citations
20.
Cui, Yunduan, Kazuhiko Takahashi, & Masafumi Hashimoto. (2013). Remarks on quaternion neural networks with application to robot control. Society of Instrument and Control Engineers of Japan. 1381–1386. 2 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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