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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Task Learning Over Multi-Day Recording via Internally Rewarded Reinforcement Learning Based Brain Machine Interfaces
Xiang Shen, Xiang Zhang, Yifan Huang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2020) Vol. 28, Iss. 12, pp. 3089-3099
Closed Access | Times Cited: 15

Showing 15 citing articles:

Audio-induced medial prefrontal cortical dynamics enhances coadaptive learning in brain–machine interfaces
Jieyuan Tan, Xiang Zhang, Shenghui Wu, et al.
Journal of Neural Engineering (2023) Vol. 20, Iss. 5, pp. 056035-056035
Closed Access | Times Cited: 6
Reinforcement Learning in Reproducing Kernel Hilbert Spaces
Yiwen Wang, José C. Prı́ncipe
IEEE Signal Processing Magazine (2021) Vol. 38, Iss. 4, pp. 34-45
Closed Access | Times Cited: 13
Intermediate Sensory Feedback Assisted Multi-Step Neural Decoding for Reinforcement Learning Based Brain-Machine Interfaces
Xiang Shen, Xiang Zhang, Yifan Huang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 30, pp. 2834-2844
Open Access | Times Cited: 9
State-space Model Based Inverse Reinforcement Learning for Reward Function Estimation in Brain-machine Interfaces
Jieyuan Tan, Xiang Zhang, Shenghui Wu, et al.
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (2023), pp. 1-4
Closed Access | Times Cited: 5
On the Impact of Gravity Compensation on Reinforcement Learning in Goal-Reaching Tasks for Robotic Manipulators
Jonathan Fugal, Jihye Bae, Hasan A. Poonawala
Robotics (2021) Vol. 10, Iss. 1, pp. 46-46
Open Access | Times Cited: 9
Reinforcement Learning-based Kalman Filter for Adaptive Brain Control in Brain-Machine Interface*
Xiang Zhang, Zhiwei Song, Yiwen Wang
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (2021), pp. 6619-6622
Closed Access | Times Cited: 6
Generative Neural Spike Prediction from Upstream Neural Activity via Behavioral Reinforcement
Shenghui Wu, Xiang Zhang, Yifan Huang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
Estimating Reward Function from Medial Prefrontal Cortex Cortical Activity using Inverse Reinforcement Learning
Jieyuan Tan, Xiang Shen, Xiang Zhang, et al.
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (2022), pp. 3346-3349
Closed Access | Times Cited: 4
Reinforcement Learning for Distributed Energy Efficiency Optimization in Underwater Acoustic Communication Networks
Liejun Yang, Hui Wang, Yexian Fan, et al.
Wireless Communications and Mobile Computing (2022) Vol. 2022, pp. 1-12
Open Access | Times Cited: 3
Extracted Audio-Induced Reward Expectation Information from Local Field Potential in the Medial Prefrontal Cortex
Mingyi Wang, Jieyuan Tan, Yifan Huang, et al.
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (2024), pp. 4225-4230
Closed Access
Hidden Brain State-based Internal Evaluation Using Kernel Inverse Reinforcement Learning in Brain-machine Interfaces
Jieyuan Tan, Xiang Zhang, Shenghui Wu, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 4219-4229
Open Access
Neural Decoders Using Reinforcement Learning in Brain Machine Interfaces: A Technical Review
Benton Girdler, William Caldbeck, Jihye Bae
Frontiers in Systems Neuroscience (2022) Vol. 16
Open Access | Times Cited: 2
Corrections to “Task Learning Over Multi-Day Recording via Internally Rewarded Reinforcement Learning Based Brain Machine Interfaces”
Xiang Shen, Xiang Zhang, Yifan Huang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2021) Vol. 29, pp. 2776-2776
Open Access | Times Cited: 1
Kernel Reinforcement Learning-Assisted Adaptive Decoder Facilitates Stable and Continuous Brain Control Tasks
Xiang Zhang, Shuhang Chen, Yiwen Wang
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 4125-4134
Open Access
A Kernel Reinforcement Learning Decoding Framework Integrating Neural and Feedback Signals for Brain Control*
Xiang Zhang, Yiwen Wang
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (2023), pp. 1-4
Closed Access
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