A state-of-the-art review on magnetorheological elastomer devices Y Li, J Li, W Li, H Du Smart materials and structures 23 (12), 123001, 2014 | 706 | 2014 |
A novel hysteretic model for magnetorheological fluid dampers and parameter identification using particle swarm optimization NM Kwok, QP Ha, TH Nguyen, J Li, B Samali Sensors and Actuators A: Physical 132 (2), 441-451, 2006 | 409 | 2006 |
Development and characterization of a magnetorheological elastomer based adaptive seismic isolator Y Li, J Li, W Li, B Samali Smart Materials and Structures 22 (3), 035005, 2013 | 314 | 2013 |
A novel deep learning-based method for damage identification of smart building structures Y Yu, C Wang, X Gu, J Li Structural Health Monitoring 18 (1), 143-163, 2019 | 300 | 2019 |
A highly adjustable magnetorheological elastomer base isolator for applications of real-time adaptive control Y Li, J Li, T Tian, W Li Smart Materials and Structures 22 (9), 095020, 2013 | 237 | 2013 |
Experimental study and modeling of a novel magnetorheological elastomer isolator J Yang, H Du, W Li, Y Li, J Li, S Sun, HX Deng Smart Materials and Structures 22 (11), 117001, 2013 | 183 | 2013 |
A novel optimised self-learning method for compressive strength prediction of high performance concrete Y Yu, W Li, J Li, TN Nguyen Construction and Building Materials 184, 229-247, 2018 | 153 | 2018 |
Negative stiffness devices for vibration isolation applications: a review H Li, Y Li, J Li Advances in Structural Engineering 23 (8), 1739-1755, 2020 | 152 | 2020 |
In situ assessment of structural timber using stress-wave measurements U Dackermann, K Crews, B Kasal, J Li, M Riggio, F Rinn, T Tannert Materials and structures 47, 787-803, 2014 | 147 | 2014 |
Damage identification in civil engineering structures utilizing PCA‐compressed residual frequency response functions and neural network ensembles J Li, U Dackermann, YL Xu, B Samali Structural Control and Health Monitoring 18 (2), 207-226, 2011 | 144 | 2011 |
Piezoelectric energy harvesting from traffic-induced pavement vibrations X Jiang, Y Li, J Li, J Wang, J Yao Journal of Renewable and Sustainable Energy 6 (4), 2014 | 112 | 2014 |
A review study on encapsulation‐based self‐healing for cementitious materials C Xue, W Li, J Li, VWY Tam, G Ye Structural Concrete 20 (1), 198-212, 2019 | 106 | 2019 |
Guided waves for damage detection in rebar-reinforced concrete beams Y Lu, J Li, L Ye, D Wang Construction and Building Materials 47, 370-378, 2013 | 100 | 2013 |
Behaviour of concrete beam–column connections reinforced with hybrid FRP sheet J Li, B Samali, L Ye, S Bakoss Composite Structures 57 (1-4), 357-365, 2002 | 98 | 2002 |
Damage detection in rebar-reinforced concrete beams based on time reversal of guided waves S Mustapha, Y Lu, J Li, L Ye Structural Health Monitoring 13 (4), 347-358, 2014 | 85 | 2014 |
Semi-active control of magnetorheological elastomer base isolation system utilising learning-based inverse model X Gu, Y Yu, J Li, Y Li Journal of Sound and Vibration 406, 346-362, 2017 | 83 | 2017 |
Experimental investigation of seismic behavior of ultra-high performance steel fiber reinforced concrete columns S Xu, C Wu, Z Liu, K Han, Y Su, J Zhao, J Li Engineering Structures 152, 129-148, 2017 | 81 | 2017 |
Experimental study of semi-active magnetorheological elastomer base isolation system using optimal neuro fuzzy logic control X Gu, Y Yu, Y Li, J Li, M Askari, B Samali Mechanical Systems and Signal Processing 119, 380-398, 2019 | 78 | 2019 |
Dynamic-based damage identification using neural network ensembles and damage index method U Dackermann, J Li, B Samali Advances in Structural Engineering 13 (6), 1001-1016, 2010 | 74 | 2010 |
Application of the modified damage index method to timber beams FC Choi, J Li, B Samali, K Crews Engineering structures 30 (4), 1124-1145, 2008 | 74 | 2008 |