
OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Deep Learning-Based Minute-Scale Digital Prediction Model of Temperature-Induced Deflection of a Cable-Stayed Bridge: Case Study
Zixiang Yue, Youliang Ding, Hanwei Zhao
Journal of Bridge Engineering (2021) Vol. 26, Iss. 6
Closed Access | Times Cited: 49
Zixiang Yue, Youliang Ding, Hanwei Zhao
Journal of Bridge Engineering (2021) Vol. 26, Iss. 6
Closed Access | Times Cited: 49
Showing 1-25 of 49 citing articles:
Bridge deformation prediction based on SHM data using improved VMD and conditional KDE
Jingzhou Xin, Yan Jiang, Jianting Zhou, et al.
Engineering Structures (2022) Vol. 261, pp. 114285-114285
Closed Access | Times Cited: 90
Jingzhou Xin, Yan Jiang, Jianting Zhou, et al.
Engineering Structures (2022) Vol. 261, pp. 114285-114285
Closed Access | Times Cited: 90
Nonlinear modeling of temperature-induced bearing displacement of long-span single-pier rigid frame bridge based on DCNN-LSTM
Minshui Huang, Jianwei Zhang, Junliang Hu, et al.
Case Studies in Thermal Engineering (2023) Vol. 53, pp. 103897-103897
Open Access | Times Cited: 49
Minshui Huang, Jianwei Zhang, Junliang Hu, et al.
Case Studies in Thermal Engineering (2023) Vol. 53, pp. 103897-103897
Open Access | Times Cited: 49
LSTM approach for condition assessment of suspension bridges based on time-series deflection and temperature data
Chengwei Wang, Farhad Ansari, Bo Wu, et al.
Advances in Structural Engineering (2022) Vol. 25, Iss. 16, pp. 3450-3463
Closed Access | Times Cited: 42
Chengwei Wang, Farhad Ansari, Bo Wu, et al.
Advances in Structural Engineering (2022) Vol. 25, Iss. 16, pp. 3450-3463
Closed Access | Times Cited: 42
Bayesian Multiple Linear Regression and New Modeling Paradigm for Structural Deflection Robust to Data Time Lag and Abnormal Signal
Hanwei Zhao, Youliang Ding, Libo Meng, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 17, pp. 19635-19647
Closed Access | Times Cited: 34
Hanwei Zhao, Youliang Ding, Libo Meng, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 17, pp. 19635-19647
Closed Access | Times Cited: 34
Concrete and steel bridge Structural Health Monitoring—Insight into choices for machine learning applications
Donghui Xu, Xiang Xu, M. C. Forde, et al.
Construction and Building Materials (2023) Vol. 402, pp. 132596-132596
Open Access | Times Cited: 24
Donghui Xu, Xiang Xu, M. C. Forde, et al.
Construction and Building Materials (2023) Vol. 402, pp. 132596-132596
Open Access | Times Cited: 24
An accurate and low-cost vehicle-induced deflection prediction framework for long-span bridges using deep learning and monitoring data
Hanwen Ju, Huaiyuan Shi, Weicheng Shen, et al.
Engineering Structures (2024) Vol. 310, pp. 118094-118094
Closed Access | Times Cited: 12
Hanwen Ju, Huaiyuan Shi, Weicheng Shen, et al.
Engineering Structures (2024) Vol. 310, pp. 118094-118094
Closed Access | Times Cited: 12
Automated intelligent detection system for bridge damages with Fractal-features-based improved YOLOv7
Yongjian Zhang, Xing Chen, Wenbin Yan
Signal Image and Video Processing (2025) Vol. 19, Iss. 3
Closed Access | Times Cited: 1
Yongjian Zhang, Xing Chen, Wenbin Yan
Signal Image and Video Processing (2025) Vol. 19, Iss. 3
Closed Access | Times Cited: 1
Correlation model of deflection, vehicle load, and temperature for in‐service bridge using deep learning and structural health monitoring
Yang Deng, Hanwen Ju, Wenqiang Zhai, et al.
Structural Control and Health Monitoring (2022) Vol. 29, Iss. 12
Open Access | Times Cited: 30
Yang Deng, Hanwen Ju, Wenqiang Zhai, et al.
Structural Control and Health Monitoring (2022) Vol. 29, Iss. 12
Open Access | Times Cited: 30
Behavior Expectation‐Based Anomaly Detection in Bridge Deflection Using AOA‐BiLSTM‐TPA: Considering Temperature and Traffic‐Induced Temporal Patterns
Guang Qu, Ye Xia, Limin Sun, et al.
Structural Control and Health Monitoring (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 7
Guang Qu, Ye Xia, Limin Sun, et al.
Structural Control and Health Monitoring (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 7
Temperature time-lag effect elimination method of structural deformation monitoring data for cable-stayed bridges
Hanwen Ju, Wenqiang Zhai, Yang Deng, et al.
Case Studies in Thermal Engineering (2023) Vol. 42, pp. 102696-102696
Open Access | Times Cited: 15
Hanwen Ju, Wenqiang Zhai, Yang Deng, et al.
Case Studies in Thermal Engineering (2023) Vol. 42, pp. 102696-102696
Open Access | Times Cited: 15
Transient temperature fields of the tank vehicle with various parameters using deep learning method
Feiding Zhu, Jincheng Chen, Dengfeng Ren, et al.
Applied Thermal Engineering (2023) Vol. 230, pp. 120697-120697
Closed Access | Times Cited: 13
Feiding Zhu, Jincheng Chen, Dengfeng Ren, et al.
Applied Thermal Engineering (2023) Vol. 230, pp. 120697-120697
Closed Access | Times Cited: 13
Multi-step cable force prediction based on hypergraph spatiotemporal deep learning
Andong Wang, Keqing Wang, Yapeng Guo, et al.
Engineering Structures (2025) Vol. 333, pp. 120173-120173
Closed Access
Andong Wang, Keqing Wang, Yapeng Guo, et al.
Engineering Structures (2025) Vol. 333, pp. 120173-120173
Closed Access
Deep learning-driven thermal response estimation for an in-service cable stayed bridge
Xiang Xu, Wenzhe Zhong, Donghui Xu, et al.
Advances in Structural Engineering (2025)
Closed Access
Xiang Xu, Wenzhe Zhong, Donghui Xu, et al.
Advances in Structural Engineering (2025)
Closed Access
Temperature behavior of cable-stayed bridges. Part II — temperature actions by using unified analysis
Yushi Shan, Qiang Jing, Lingfang Li, et al.
Advances in Structural Engineering (2023) Vol. 26, Iss. 9, pp. 1600-1620
Closed Access | Times Cited: 12
Yushi Shan, Qiang Jing, Lingfang Li, et al.
Advances in Structural Engineering (2023) Vol. 26, Iss. 9, pp. 1600-1620
Closed Access | Times Cited: 12
Structural safety evaluation using Bayesian ensemble neural networks
Jin-Ling Zheng, Sheng-En Fang
Engineering Structures (2025) Vol. 328, pp. 119709-119709
Closed Access
Jin-Ling Zheng, Sheng-En Fang
Engineering Structures (2025) Vol. 328, pp. 119709-119709
Closed Access
Real-Time Intelligent Prediction Method of Cable’s Fundamental Frequency for Intelligent Maintenance of Cable-Stayed Bridges
Yongqiang Li, Hanwei Zhao, Zixiang Yue, et al.
Sustainability (2023) Vol. 15, Iss. 5, pp. 4086-4086
Open Access | Times Cited: 10
Yongqiang Li, Hanwei Zhao, Zixiang Yue, et al.
Sustainability (2023) Vol. 15, Iss. 5, pp. 4086-4086
Open Access | Times Cited: 10
Performance Prediction for Steel Bridges Using SHM Data and Bayesian Dynamic Regression Linear Model: A Novel Approach
Guang Qu, Limin Sun
Journal of Bridge Engineering (2024) Vol. 29, Iss. 7
Closed Access | Times Cited: 3
Guang Qu, Limin Sun
Journal of Bridge Engineering (2024) Vol. 29, Iss. 7
Closed Access | Times Cited: 3
Temperature analysis and prediction for road-rail steel truss cable-stayed bridges based on the structural health monitoring
Wen-ming Zhang, Zhe-hong Zhang, Zhi-wei Wang, et al.
Engineering Structures (2024) Vol. 315, pp. 118476-118476
Closed Access | Times Cited: 3
Wen-ming Zhang, Zhe-hong Zhang, Zhi-wei Wang, et al.
Engineering Structures (2024) Vol. 315, pp. 118476-118476
Closed Access | Times Cited: 3
Real-Time Bridge Deflection Prediction Based on a Novel Bayesian Dynamic Difference Model and Nonstationary Data
Guang Qu, Mingming Song, Limin Sun
Journal of Bridge Engineering (2024) Vol. 29, Iss. 9
Closed Access | Times Cited: 3
Guang Qu, Mingming Song, Limin Sun
Journal of Bridge Engineering (2024) Vol. 29, Iss. 9
Closed Access | Times Cited: 3
An anomaly pattern detection for bridge structural response considering time-varying temperature coefficients
Yuan Ren, Qiaowei Ye, Xiang Xu, et al.
Structures (2022) Vol. 46, pp. 285-298
Closed Access | Times Cited: 15
Yuan Ren, Qiaowei Ye, Xiang Xu, et al.
Structures (2022) Vol. 46, pp. 285-298
Closed Access | Times Cited: 15
Recovery of Abnormal Data for Bridge Structural Health Monitoring Based on Deep Learning and Temporal Correlation
Hanwen Ju, Yang Deng, Wenqiang Zhai, et al.
Sensors and Materials (2022) Vol. 34, Iss. 12, pp. 4491-4491
Open Access | Times Cited: 14
Hanwen Ju, Yang Deng, Wenqiang Zhai, et al.
Sensors and Materials (2022) Vol. 34, Iss. 12, pp. 4491-4491
Open Access | Times Cited: 14
A temperature-driven approach for quantitative assessment of strengthening effect of continuous bridges using structural health monitoring data
Xiaoyu Gong, Xiaodong Song, C.S. Cai, et al.
Structural Health Monitoring (2023) Vol. 23, Iss. 2, pp. 1053-1070
Closed Access | Times Cited: 7
Xiaoyu Gong, Xiaodong Song, C.S. Cai, et al.
Structural Health Monitoring (2023) Vol. 23, Iss. 2, pp. 1053-1070
Closed Access | Times Cited: 7
Early warning for abnormal strains of continuous bridges using a proposed temperature–strain mapping model
Xiaoyu Gong, Xiaodong Song, C.S. Cai, et al.
Smart Materials and Structures (2023) Vol. 32, Iss. 12, pp. 125018-125018
Closed Access | Times Cited: 7
Xiaoyu Gong, Xiaodong Song, C.S. Cai, et al.
Smart Materials and Structures (2023) Vol. 32, Iss. 12, pp. 125018-125018
Closed Access | Times Cited: 7
Deformation prediction model of large-span prestressed structure for health monitoring based on robust Gaussian process regression
Wenwei Fu, Yi Chen, Yaozhi Luo, et al.
Engineering Structures (2024) Vol. 318, pp. 118597-118597
Closed Access | Times Cited: 2
Wenwei Fu, Yi Chen, Yaozhi Luo, et al.
Engineering Structures (2024) Vol. 318, pp. 118597-118597
Closed Access | Times Cited: 2
Long-term structural response prediction models for concrete structures using weather data, fiber-optic sensing, and convolutional neural network
Hyo Seon Park, Taehoon Hong, Dong‐Eun Lee, et al.
Expert Systems with Applications (2022) Vol. 201, pp. 117152-117152
Closed Access | Times Cited: 12
Hyo Seon Park, Taehoon Hong, Dong‐Eun Lee, et al.
Expert Systems with Applications (2022) Vol. 201, pp. 117152-117152
Closed Access | Times Cited: 12