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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:

A data-driven approach for drive-by damage detection in bridges considering the influence of temperature change
Robert Corbally, Abdollah Malekjafarian
Engineering Structures (2022) Vol. 253, pp. 113783-113783
Closed Access | Times Cited: 72

Showing 1-25 of 72 citing articles:

A review of mobile sensing of bridges using moving vehicles: Progress to date, challenges and future trends
Abdollah Malekjafarian, Robert Corbally, Wenjie Gong
Structures (2022) Vol. 44, pp. 1466-1489
Open Access | Times Cited: 87
A Systematic Review of Optimization Algorithms for Structural Health Monitoring and Optimal Sensor Placement
Sahar Hassani, Ulrike Dackermann
Sensors (2023) Vol. 23, Iss. 6, pp. 3293-3293
Open Access | Times Cited: 57
Health condition monitoring of a complex hydraulic system using Deep Neural Network and DeepSHAP explainable XAI
Aurelien Teguede Keleko, Bernard Kamsu-Foguem, Raymond Houé Ngouna, et al.
Advances in Engineering Software (2022) Vol. 175, pp. 103339-103339
Open Access | Times Cited: 43
Damage classification of in-service steel railway bridges using a novel vibration-based convolutional neural network
Alireza Ghiasi, Mahdi Kazemi Moghaddam, Ching‐Tai Ng, et al.
Engineering Structures (2022) Vol. 264, pp. 114474-114474
Closed Access | Times Cited: 37
Drive-by bridge damage detection using Mel-frequency cepstral coefficients and support vector machine
Zhenkun Li, Weiwei Lin, Youqi Zhang
Structural Health Monitoring (2023) Vol. 22, Iss. 5, pp. 3302-3319
Closed Access | Times Cited: 24
Classification and regression-based convolutional neural network and long short-term memory configuration for bridge damage identification using long-term monitoring vibration data
Fadel Yessoufou, Jinsong Zhu
Structural Health Monitoring (2023) Vol. 22, Iss. 6, pp. 4027-4054
Closed Access | Times Cited: 24
Algorithms and Techniques for the Structural Health Monitoring of Bridges: Systematic Literature Review
Omar S. Sonbul, Muhammad Rashid
Sensors (2023) Vol. 23, Iss. 9, pp. 4230-4230
Open Access | Times Cited: 24
Characterization of the road profile and the rotational stiffness of supports in a bridge based on axle accelerations of a crossing vehicle
Kun Feng, Miguel Casero, Arturo González
Computer-Aided Civil and Infrastructure Engineering (2023) Vol. 38, Iss. 14, pp. 1935-1954
Open Access | Times Cited: 23
Footbridge damage detection using smartphone-recorded responses of micromobility and convolutional neural networks
Zhenkun Li, Yifu Lan, Weiwei Lin
Automation in Construction (2024) Vol. 166, pp. 105587-105587
Open Access | Times Cited: 9
A novel version of grey wolf optimizer based on a balance function and its application for hyperparameters optimization in deep neural network (DNN) for structural damage identification
Thanh Cuong‐Le, Hoang-Le Minh, Thanh Sang-To, et al.
Engineering Failure Analysis (2022) Vol. 142, pp. 106829-106829
Open Access | Times Cited: 28
A deep‐learning framework for classifying the type, location, and severity of bridge damage using drive‐by measurements
Robert Corbally, Abdollah Malekjafarian
Computer-Aided Civil and Infrastructure Engineering (2023) Vol. 39, Iss. 6, pp. 852-871
Open Access | Times Cited: 21
Indirect damage detection for bridges using sensing and temporarily parked vehicles
Zhenkun Li, Yifu Lan, Weiwei Lin
Engineering Structures (2023) Vol. 291, pp. 116459-116459
Open Access | Times Cited: 19
Feature subset selection in structural health monitoring data using an advanced binary slime mould algorithm
Ramin Ghiasi, Abdollah Malekjafarian
Journal of Structural Integrity and Maintenance (2023) Vol. 8, Iss. 4, pp. 209-225
Open Access | Times Cited: 16
A recursive nonlinear virtual sensing method for joint input-state-parameter estimation of partially measured structures
Zihao Liu, Mohsen Ebrahimzadeh Hassanabadi, Sima Abolghasemi, et al.
Engineering Structures (2025) Vol. 330, pp. 119828-119828
Open Access
Machine learning-empowered intelligent vehicle–bridge systems: Current status and future prospects
Jin Zhu, Cheng Wei, Tingpeng Zhang, et al.
Structures (2025) Vol. 74, pp. 108598-108598
Closed Access
A hybrid method for damage detection and condition assessment of hinge joints in hollow slab bridges using physical models and vision-based measurements
Hao Hu, Jiji Wang, Chuan‐Zhi Dong, et al.
Mechanical Systems and Signal Processing (2022) Vol. 183, pp. 109631-109631
Closed Access | Times Cited: 27
Recent Advancements and Future Trends in Indirect Bridge Health Monitoring
Premjeet Singh, Shivank Mittal, Ayan Sadhu
Practice Periodical on Structural Design and Construction (2022) Vol. 28, Iss. 1
Closed Access | Times Cited: 26
Automated design of phononic crystals under thermoelastic wave propagation through deep reinforcement learning
Ali Maghami, Seyed Mahmoud Hosseini
Engineering Structures (2022) Vol. 263, pp. 114385-114385
Closed Access | Times Cited: 23
A Machine-Learning-Based Approach for Railway Track Monitoring Using Acceleration Measured on an In-Service Train
Abdollah Malekjafarian, Chalres-Antoine Sarrabezolles, Muhammad Arslan Khan, et al.
Sensors (2023) Vol. 23, Iss. 17, pp. 7568-7568
Open Access | Times Cited: 14
Bridge Frequency Scanning Using the Contact-Point Response of an Instrumented 3D Vehicle: Theory and Numerical Simulation
Zhenkun Li, Weiwei Lin, Youqi Zhang
Structural Control and Health Monitoring (2023) Vol. 2023, pp. 1-23
Open Access | Times Cited: 12
Drive-by Bridge Damage Detection Using Continuous Wavelet Transform
Kultigin Demirlioglu, Emrah Erduran
Applied Sciences (2024) Vol. 14, Iss. 7, pp. 2969-2969
Open Access | Times Cited: 4
Damage identification of truss bridges based on feature transferable digital twins
Zhou Huang, Xinfeng Yin, Yang Liu, et al.
Measurement (2024) Vol. 233, pp. 114735-114735
Closed Access | Times Cited: 4
Temperature-adaptive artificial neural network model for enhanced fault detection in railway tracks using acoustic emission sensor data
Apurba Pal, Aloke Kumar Datta
Nondestructive Testing And Evaluation (2025), pp. 1-30
Closed Access
Adjoint-based recovery of thermal fields from displacement or strain measurements
Talhah Shamshad Ali Ansari, Rainald Löhner, Roland Wüchner, et al.
Computer Methods in Applied Mechanics and Engineering (2025) Vol. 438, pp. 117818-117818
Open Access
Baseline-free bridge damage identification using proper orthogonal decomposition and continuous wavelet transform with limited sensors
Zhenhua Nie, Hao Zhang, Z. Q. Zhu, et al.
Journal of Sound and Vibration (2025), pp. 119012-119012
Closed Access
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