1.[Qu, X., Wan, J., Zhao, H.,] Xu, S., Cheng, X., Yang, B., Li, Z., Ji, L., Wu, J.*, Li, Z.*, Cheng, J.* and Li, C*, 2026. Closed-loop wearable neurostimulation system with triboelectric sensing to alleviate hemifacial spasms. Nature Communications.
2.[Jia, T., Pan, F.,] Yang, X., Ji, L., Farina, D.* and Li, C*, 2025. Artificial Empathy in Therapy and Healthcare: Advancements in Interpersonal Interaction Technologies. Cyborg and Bionic Systems, 6, 0473.
3.[Wan, J., Xu, S., Lin, J.,] Ji, L., Cheng, J.*, Li, Z.*, Qu, X.* and Li, C.*, 2025. AI‐Enhanced Wearable Technology for Human Physiological Signal Detection: Challenges and Future Directions. Small, 21(43), p.e04078.
4.[Yang, B., Yang, L.,] Zhao, H., Pan, F., Cheng, X., Ji, L., Wang, X., Li, C.*, Li, W.*, Qu, X.* and Cheng, J.*, 2025. A visual-tactile synchronized stimulation ring system for sensory rehabilitation integrating triboelectric sensing and pneumatic feedback. Nano Energy, 135, p.110638.
5.[Jia, T., Sun, J.,] McGeady, C., Ji, L. and Li, C.*, 2024. Enhancing brain–computer interface performance by incorporating brain-to-brain coupling. Cyborg and Bionic Systems, 5, p.0116.
6.Yang, Y., Li, W., Chen, H., Wang, X., Ji, L., Zhou, B.* and Li, C.*, 2024. Closed-Loop Respiratory Intervention Enhances Sleep Ventilation and Oxygen Saturation in Healthy Participants With Rapid High-Altitude Exposure. IEEE Journal of Biomedical and Health Informatics.
7.[Jia, T., Mo, L.,] McGeady, C., Sun, J., Liu, A., Ji, L., Xi, J.* and Li, C.*, 2024. Cortical Activation Patterns Determine Effectiveness of rTMS-Induced Motor Imagery Decoding Enhancement in Stroke Patients. IEEE Transactions on Biomedical Engineering.
8.Sun, J., Jia, T., Lin, P.J., Li, Z., Ji, L. and Li, C.*, 2023. Multiscale canonical coherence for functional corticomuscular coupling analysis. IEEE Journal of Biomedical and Health Informatics, 28(2), pp.812-822.
9.[Jia, T., Li, C.*,] Mo, L., Qian, C., Li, W., Xu, Q., Pan, Y., Liu, A.* and Ji, L.*, 2023. Tailoring brain–machine interface rehabilitation training based on neural reorganization: towards personalized treatment for stroke patients. Cerebral Cortex, 33(6), pp.3043-3052.
10.[Lin, P.J., Jia, T.,] Li, C.*, Li, T., Qian, C., Li, Z., Pan, Y. * and Ji, L., 2021. CNN-based prognosis of BCI rehabilitation using EEG from first session BCI training. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 29, pp.1936-1943.
