| A Bayesian approach for condition assessment and damage alarm of bridge expansion joints using long-term structural health monitoring data YQ Ni, YW Wang, C Zhang Engineering Structures 212, 110520, 2020 | 124 | 2020 |
| Real-time defect detection of high-speed train wheels by using Bayesian forecasting and dynamic model YW Wang, YQ Ni, X Wang Mechanical Systems and Signal Processing 139, 106654, 2020 | 75 | 2020 |
| Online simultaneous reconstruction of wind load and structural responses—theory and application to canton tower Y Niu, CP Fritzen, H Jung, I Buethe, YQ Ni, YW Wang Computer‐Aided Civil and Infrastructure Engineering 30 (8), 666-681, 2015 | 66 | 2015 |
| Aerodynamic response of high-speed trains under crosswind in a bridge-tunnel section with or without a wind barrier E Deng, W Yang, X He, Z Zhu, H Wang, Y Wang, A Wang, L Zhou Journal of Wind Engineering and Industrial Aerodynamics 210, 104502, 2021 | 64 | 2021 |
| Operational modal analysis of Canton Tower by a fast frequency domain Bayesian method FL Zhang, YQ Ni, YC Ni, YW Wang Smart Struct Syst 17 (2), 209-230, 2016 | 58 | 2016 |
| Structural modal identification and health monitoring of building structures using self-sensing cementitious composites S Ding, YW Wang, YQ Ni, B Han Smart Materials and Structures 29 (5), 055013, 2020 | 56 | 2020 |
| Bayesian dynamic forecasting of structural strain response using structural health monitoring data YW Wang, YQ Ni Structural Control and Health Monitoring, e2575, 2020 | 48 | 2020 |
| Investigation of mode identifiability of a cable-stayed bridge: comparison from ambient vibration responses and from typhoon-induced dynamic responses YQ Ni, YW Wang, YX Xia Smart structures and systems 15 (2), 447-468, 2015 | 48 | 2015 |
| Deterioration of dynamic response during high-speed train travelling in tunnel–bridge–tunnel scenario under crosswinds W Yang, E Deng, Z Zhu, X He, Y Wang Tunnelling and Underground Space Technology 106, 103627, 2020 | 33 | 2020 |
| Mitigating crosswind effect on high-speed trains by active blowing method: a comparative study ZW Chen, YQ Ni, YW Wang, SM Wang, TH Liu Engineering Applications of Computational Fluid Mechanics 16 (1), 1064-1081, 2022 | 27 | 2022 |
| Structural health monitoring of railway bridges using innovative sensing technologies and machine learning algorithms: A concise review YW Wang, YQ Ni, SM Wang Intelligent Transportation Infrastructure 1, liac009, 2022 | 24 | 2022 |
| A vision-based system for long-distance remote monitoring of dynamic displacement: experimental verification on a supertall structure YQ Ni, YW Wang, WY Liao, C Wei-Huan Smart Structures and Systems, An International Journal 24 (6), 769-781, 2019 | 24 | 2019 |
| Bayesian approaches for evaluating wind‐resistant performance of long‐span bridges using structural health monitoring data YW Wang, YQ Ni, QH Zhang, C Zhang Structural Control and Health Monitoring, e2699, 2021 | 22 | 2021 |
| Characteristics of wind field at tunnel-bridge area in steep valley: Field measurement and LES study W Yang, Y Liu, E Deng, Y Wang, X He, M Lei Measurement 202, 111806, 2022 | 20 | 2022 |
| Influence of the turbulence conditions of crosswind on the aerodynamic responses of the train when running at tunnel-bridge-tunnel W Yang, H Yue, E Deng, Y Wang, X He, Y Zou Journal of Wind Engineering and Industrial Aerodynamics 229, 105138, 2022 | 20 | 2022 |
| Comparison of aerodynamic performance of high-speed train driving on tunnel-bridge section under fluctuating winds based on three turbulence models W Yang, H Yue, E Deng, X He, Y Zou, Y Wang Journal of Wind Engineering and Industrial Aerodynamics 228, 105081, 2022 | 20 | 2022 |
| Full-scale monitoring of wind effects on a supertall structure during six tropical cyclones YW Wang, YQ Ni Journal of Building Engineering 45, 103507, 2022 | 20 | 2022 |
| Online condition assessment of high-speed trains based on Bayesian forecasting approach and time series analysis LH Zhang, YW Wang, YQ Ni, SK Lai Smart Structures and Systems 21 (5), 705-713, 2018 | 18 | 2018 |
| Physics-guided, data-refined modeling of granular material-filled particle dampers by deep transfer learning X Ye, YQ Ni, M Sajjadi, YW Wang, CS Lin Mechanical Systems and Signal Processing 180, 109437, 2022 | 17 | 2022 |
| A coupling analysis method of foundation soil dynamic responses induced by metro train based on PDEM and stochastic field theory E Deng, XY Liu, YQ Ni, YW Wang, CY Zhao Computers and Geotechnics 154, 105180, 2023 | 16 | 2023 |
