1. Liu C, Guo K*, Lu J, Yang H*. A review on the application of intelligent control strategies for post-stroke hand rehabilitation machines. Advances in Mechanical Engineering. 2023;15(1). (SCI)
2. Guo K, Lu J, Liu C, Yang H*. Development, Research, Optimization and Experiment of Exoskeleton Robot for Hand Rehabilitation Training[J]. Applied Sciences, 2022, 12(20): 10580. (SCI)
3. Orban M, Elsamanty M, Guo K*, Zhang S, Yang H*. A Review of Brain Activity and EEG-Based Brain–Computer Interfaces for Rehabilitation Application[J]. Bioengineering, 2022, 9(12): 768. (SCI)
4. Liu C, Li J, Zhang S, Yang H*, Guo K*. Study on Flexible sEMG Acquisition System and Its Application in Muscle Strength Evaluation and Hand Rehabilitation[J]. Micromachines, 2022, 13(12): 2047. (SCI)
5. Guo K., Orban M., Yang H*, Li Z, Research on rope-driven flexible robot for hand rehabilitation and experiments study based on EEG signals. Journal of Mechanics in Medicine and Biology. 2022. (SCI)
6. Liu C., Lu J., Yang H*, Guo K*, Current State of Robotics in Hand Rehabilitation after Stroke: A Systematic Review. Applied Sciences, 2022, 12(9), p.4540. (SCI)
7. Guo K, Zhang S, Zhao S, Yang H*. Design and Manufacture of Data Gloves for Rehabilitation Training and Gesture Recognition Based on Flexible Sensors[J].Journal of Healthcare Engineering, 2021, vol. 2021, 6359403,1-9, 2021. (SCI)
8. Guo K, Liu C, Zhao S, Lu J, Zhang S, Yang H*. Design of a Millimeter-Wave Radar Remote Monitoring System for the Elderly Living Alone Using WIFI Communication[J]. Sensors. 2021, 21, 7893. (SCI)
9. Liu B, Yang H, Guo K, Luo C, Liu C, Zhang S, Zhang Y, Li Z, Development of image-guided puncture robot used in trigeminal neuralgia treatment[J], Int. J. Ad Hoc and Ubiquitous Computing, 2021, Vol. 38, Nos. 1/2/3, pp.141–150. (SCI)
10. Liu S, Shan X, Guo K, Xie T*, Experimental study on titanium wire drawing with ultrasonic vibration[J]. Ultrasonics, 2018. v 83, p 60-67. (SCI)