| Year | Title | Authors | Journal |
|---|---|---|---|
| 2025 | Self-adjusting thermal diffusion and self-sensing temperature deformation performances of ultra-high performance concrete | S Ding, Y Shi, D Wang, X Wang, S Ding, YQ Ni, X Lv, & B Han | Journal of Building Engineering |
| 2025 | Strain signal denoising in bridge SHM: A comparative analysis of MODWT and other techniques | YX Xia, RK Xu, YQ Ni, & ZQ Jin | Journal of Infrastructure Intelligence and Resilience |
| 2024 | A concise state-of-the-art review of crack monitoring enabled by RFID technology | Ran, S.C., Wang, Q.A., Wang, J.F., Ni, Y.Q., Guo, Z.X., & Luo, Y. | Applied Sciences |
| 2024 | A novel method for evaluating load restraint assemblies to ensure the safety of railway freight transportation | Zhang, D., Wang, S.M., Tang, Y.Y., Ni, Y.Q., Guo, J.W., & Peng, Q.Y. | Scientific Reports |
| 2024 | A review of levitation control methods for low- and medium-speed maglev systems | Zhu, Q., Wang, S.M., & Ni, Y.Q. | Buildings |
| 2024 | A unified label noise-tolerant framework of deep learning-based fault diagnosis via a bounded neural network | He, S., Ao, W.K., and Ni, Y.Q. | IEEE Transactions on Instrumentation and Measurement |
| 2024 | Advancement of data-driven SHM: a research paradigm on AE-based switch rail condition monitoring | Zhou, L., Chen, S.X., Ni, Y.Q., & Liu, X.Z. | Journal of Infrastructure Intelligence and Resilience |
| 2024 | Concise historic overview of rail corrugation studies: from formation mechanisms to detection methods | Wang, Q.A., Huang, X.Y., Wang, J.F., Ni, Y.Q., Ran, S.C., Li, J.P., & Zhang, J. | Buildings |
| 2024 | Cooperative control of maglev levitation system via Hamiton-Jacobian-Bellman multi-agent deep reinforcement learning | Zhu, Q., Wang, S.M., & Ni, Y.Q. | IEEE Transactions on Vehicular Technology |
| 2024 | Damage identification for railway tracks using ultrasound guided wave and hybrid probabilistic deep learning | Zhang, Y., Dang, D.Z., Wang, Y.W., and Ni, Y.Q. | Construction & Building Materials |