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OpenAlex Citation Counts

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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:

Digital modeling on the nonlinear mapping between multi‐source monitoring data of in‐service bridges
Hanwei Zhao, Youliang Ding, Aiqun Li, et al.
Structural Control and Health Monitoring (2020) Vol. 27, Iss. 11
Open Access | Times Cited: 51

Showing 26-50 of 51 citing articles:

Seismic response prediction of RC bridge piers through stacked long short-term memory network
Omid Yazdanpanah, Minwoo Chang, Min‐Seok Park, et al.
Structures (2022) Vol. 45, pp. 1990-2006
Closed Access | Times Cited: 21
Wind-induced fragility analysis of a transmission tower based on multi-source monitoring data and deep learning methods
Wensheng Zhang, Xing Fu, Hong‐Nan Li, et al.
Journal of Wind Engineering and Industrial Aerodynamics (2024) Vol. 252, pp. 105834-105834
Closed Access | Times Cited: 4
AGSAM-Net: UAV route planning and visual guidance model for bridge surface defect detection
Rongji Li, Ziqian Wang
Image and Vision Computing (2025), pp. 105416-105416
Closed Access
Structural safety evaluation using Bayesian ensemble neural networks
Jin-Ling Zheng, Sheng-En Fang
Engineering Structures (2025) Vol. 328, pp. 119709-119709
Closed Access
Evaluation and Early Warning of Vortex-Induced Vibration of Existed Long-Span Suspension Bridge Using Multisource Monitoring Data
Hanwei Zhao, Youliang Ding, Aiqun Li, et al.
Journal of Performance of Constructed Facilities (2021) Vol. 35, Iss. 3
Closed Access | Times Cited: 25
Dynamic Warning Method for Structural Health Monitoring Data Based on ARIMA: Case Study of Hong Kong–Zhuhai–Macao Bridge Immersed Tunnel
Jianzhong Chen, Xinghong Jiang, Yan Yu, et al.
Sensors (2022) Vol. 22, Iss. 16, pp. 6185-6185
Open Access | Times Cited: 18
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
Ultra-high precise Stack-LSTM-CNN model of temperature-induced deflection of a cable-stayed bridge for detecting bridge state driven by monitoring data
Zixiang Yue, Youliang Ding, Hanwei Zhao, et al.
Structures (2022) Vol. 45, pp. 110-125
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
Physically Guided Estimation of Vehicle Loading-Induced Low-Frequency Bridge Responses with BP-ANN
Xuzhao Lu, Guang Qu, Limin Sun, et al.
Buildings (2024) Vol. 14, Iss. 9, pp. 2995-2995
Open Access | Times Cited: 2
Digital prediction model of temperature-induced deflection for cable-stayed bridges based on learning of response-only data
Manya Wang, Youliang Ding, Hanwei Zhao
Journal of Civil Structural Health Monitoring (2022) Vol. 12, Iss. 3, pp. 629-645
Closed Access | Times Cited: 12
Dynamic real-time reliability prediction of bridge structures based on Copula–BHDLM and measured stress data
Bi Ge, Zuo‐Cai Wang, Yu Xin, et al.
Measurement (2022) Vol. 203, pp. 112006-112006
Closed Access | Times Cited: 11
Physics-informed deep learning for structural vibration identification and its application on a benchmark structure
Minte Zhang, Tong Guo, Guodong Zhang, et al.
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (2023) Vol. 382, Iss. 2264
Closed Access | Times Cited: 6
Representation of In-Service Performance for Cable-Stayed Railway–Highway Combined Bridges Based on Train-Induced Response’s Sensing Data and Knowledge
Hanwei Zhao, Youliang Ding, Aiqun Li
Sensors (2022) Vol. 22, Iss. 9, pp. 3247-3247
Open Access | Times Cited: 9
Modeling the Quantitative Assessment of the Condition of Bridge Components Made of Reinforced Concrete Using ANN
Роман Трач, V. S. Moshynskyi, Denys Chernyshev, et al.
Sustainability (2022) Vol. 14, Iss. 23, pp. 15779-15779
Open Access | Times Cited: 9
Abnormal Data Recovery of Structural Health Monitoring for Ancient City Wall Using Deep Learning Neural Network
Yang Deng, Hanwen Ju, Yuhang Li, et al.
International Journal of Architectural Heritage (2022) Vol. 18, Iss. 3, pp. 389-407
Closed Access | Times Cited: 9
Merged LSTM-based pattern recognition of structural behavior of cable-supported bridges
Seongi Min, Yunwoo Lee, Yong‐Hoon Byun, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 125, pp. 106774-106774
Closed Access | Times Cited: 4
Anomaly Detection on Bridges Using Deep Learning With Partial Training
Ivan Santos-Vila, Ricardo Soto, Emanuel Vega, et al.
IEEE Access (2024) Vol. 12, pp. 116530-116545
Open Access | Times Cited: 1
A State-of-the-Art Survey of Transfer Learning in Structural Health Monitoring
Wangqiao Chen, Guiping Wang, Bo Wu, et al.
(2021) Vol. 10598, pp. 1-7
Closed Access | Times Cited: 6
A Cross-Diagnosis Method for Determining the Structural Condition of a Long-Span Suspension Bridge Based on the Spatial Windows of Distributed Strain Data
Qianen Xu, Zheng Zhou, Yang Liu
Structural Control and Health Monitoring (2023) Vol. 2023, pp. 1-26
Open Access | Times Cited: 2
Damage localization for bridges monitored within one cluster based on a spatiotemporal correlation model of strain monitoring data
Jianxin Cao, Yang Liu
Structural Health Monitoring (2022) Vol. 22, Iss. 1, pp. 105-130
Closed Access | Times Cited: 4
Robust correlation mapping of train-induced stresses for high-speed railway bridge using convolutional denoising autoencoder
Jin Niu, Zhonglong Li, Yi Zhuo, et al.
Structural Health Monitoring (2022) Vol. 22, Iss. 2, pp. 832-845
Closed Access | Times Cited: 3
Mapping model between lateral responses of bridges under random traffic loads based on data-driven approach
Gan Yang, Shizhi Chen, Junfeng Wang, et al.
Intelligent Transportation Infrastructure (2024) Vol. 3
Open Access
Methodology for mapping bridge temperature–deflection considering uncertainty
Bowen Xiao, Yuanlin Zheng, Jie Shi, et al.
Engineering Structures (2024) Vol. 326, pp. 119580-119580
Closed Access
Mapping Model between Lateral Responses of Bridges Under Random Traffic Loads Based on Data-Driven Approach
Gan Yang, Shi‐Zhi Chen, Junfeng Wang, et al.
(2023)
Closed Access

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