Javier Fernando Jiménez-Alonso 
- (2023): Game theory-based maximum likelihood method for finite-element-model updating of civil engineering structures. Dans: Engineering Structures, v. 277 (février 2023).
- (2022): Review of finite element model updating methods for structural applications. Dans: Structures, v. 41 (juillet 2022).
- (2021): A common framework for the robust design of tuned mass damper techniques to mitigate pedestrian-induced vibrations in lively footbridges. Dans: Structures, v. 34 (décembre 2021).
- (2020): A collaborative machine learning-optimization algorithm to improve the finite element model updating of civil engineering structures. Dans: Engineering Structures, v. 225 (décembre 2020).
- (2021): Maximum Likelihood Finite-Element Model Updating of Civil Engineering Structures Using Nature-Inspired Computational Algorithms. Dans: Structural Engineering International, v. 31, n. 3 (juillet 2021).
- (2020): Parameter identification of the dynamic Winkler soil–structure interaction model using a hybrid unscented Kalman filter–multi-objective harmony search algorithm. Dans: Advances in Structural Engineering, v. 23, n. 12 (avril 2020).
- (2017): Controlling the Human-Induced Longitudinal Vibrations of a Nielsen-Truss Footbridge Via the Modification of Its Natural Frequencies. Dans: International Journal of Structural Stability and Dynamics, v. 17, n. 6 (août 2017).
- (2019): Modal parameter identification of a spectator–grandstand interaction model under different rhythmic activities. Dans: Advances in Structural Engineering, v. 22, n. 9 (mars 2019).
- (2017): Motion-based optimum design of a slender steel footbridge and assessment of its dynamic behaviour. Dans: International Journal of Steel Structures, v. 17, n. 4 ( 2017).
- (2016): Vertical Crowd–Structure Interaction Model to Analyze the Change of the Modal Properties of a Footbridge. Dans: Journal of Bridge Engineering (ASCE), v. 21, n. 8 (août 2016).
- (2017): Robust Optimum Design of Tuned Mass Dampers to Mitigate Pedestrian-Induced Vibrations Using Multi-Objective Genetic Algorithms. Dans: Structural Engineering International, v. 27, n. 4 (novembre 2017).
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