Pinghe Ni 
- : Efficient Bayesian inference for finite element model updating with surrogate modeling techniques. In: Journal of Civil Structural Health Monitoring.
- : Non-contact impact load identification based on intelligent visual sensing technology. In: Structural Health Monitoring.
- (2023): Output-only structural identification with random decrement technique. In: Structures, v. 51 (Mai 2023).
- (2022): Computationally efficient Bayesian inference for probabilistic model updating with polynomial chaos and Gibbs sampling. In: Structural Control and Health Monitoring, v. 29, n. 6 (11 April 2022).
- (2022): Data-driven approach for post-earthquake condition and reliability assessment with approximate Bayesian computation. In: Engineering Structures, v. 256 (April 2022).
- (2021): Structural dynamic response reconstruction and virtual sensing using a sequence to sequence modeling with attention mechanism. In: Automation in Construction, v. 131 (November 2021).
- (2021): Reliability based design optimization of bridges considering bridge-vehicle interaction by Kriging surrogate model. In: Engineering Structures, v. 246 (November 2021).
- (2021): Structural identification using improved butterfly optimization algorithm with adaptive sampling test and search space reduction method. In: Structures, v. 33 (Oktober 2021).
- (2021): A decentralized unsupervised structural condition diagnosis approach using deep auto‐encoders. In: Computer-Aided Civil and Infrastructure Engineering, v. 36, n. 6 (27 Mai 2021).
- (2019): Stochastic dynamic analysis of marine risers considering fluid-structure interaction and system uncertainties. In: Engineering Structures, v. 198 (November 2019).
- (2020): Output-only structural parameter identification with evolutionary algorithms and correlation functions. In: Smart Materials and Structures, v. 29, n. 3 (27 Januar 2020).
- (2014): Structural Damage Detection Using Auto/Cross-Correlation Functions Under Multiple Unknown Excitations. In: International Journal of Structural Stability and Dynamics, v. 14, n. 5 (Juni 2014).
- (2018): Time-varying system identification using variational mode decomposition. In: Structural Control and Health Monitoring, v. 25, n. 6 (Juni 2018).
- (2018): Structural damage identification based on autoencoder neural networks and deep learning. In: Engineering Structures, v. 172 (Oktober 2018).
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