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 State-of-the-Art Review of Bridge Inspection Planning: Current Situation and Future Needs
Abdelrahman M. Abdallah, Rebecca Atadero, Mehmet E. Ozbek
Journal of Bridge Engineering (2021) Vol. 27, Iss. 2
Closed Access | Times Cited: 55

Showing 1-25 of 55 citing articles:

Estimation of Bridge Girder Cumulative Displacement for Component Operational Warning Using Bayesian Neural Networks
Xiaoming Lei, Zhen Sun, Ao Wang, et al.
Structural Control and Health Monitoring (2025) Vol. 2025, Iss. 1
Open Access | Times Cited: 2

Sustainable Life-Cycle Maintenance Policymaking for Network-Level Deteriorating Bridges with a Convolutional Autoencoder–Structured Reinforcement Learning Agent
Xiaoming Lei, You Dong, Dan M. Frangopol
Journal of Bridge Engineering (2023) Vol. 28, Iss. 9
Closed Access | Times Cited: 34

Impact of UAV Hardware Options on Bridge Inspection Mission Capabilities
Zahra Ameli, Yugandhar Aremanda, Wilhelm A. Friess, et al.
Drones (2022) Vol. 6, Iss. 3, pp. 64-64
Open Access | Times Cited: 30

Machine Learning–Based Bridge Maintenance Optimization Model for Maximizing Performance within Available Annual Budgets
Mahdi Ghafoori, Moatassem Abdallah, Mehmet E. Ozbek
Journal of Bridge Engineering (2024) Vol. 29, Iss. 4
Closed Access | Times Cited: 8

Knowledge transfer for adaptive maintenance policy optimization in engineering fleets based on meta-reinforcement learning
Jianda Cheng, Minghui Cheng, Yan Liu, et al.
Reliability Engineering & System Safety (2024) Vol. 247, pp. 110127-110127
Closed Access | Times Cited: 6

Condition assessment of prestressed concrete channel bridge girders using acoustic emission and data-driven methods
Elhussien Elbatanouny, Alex Henderson, Li Ai, et al.
Structures (2024) Vol. 67, pp. 107008-107008
Closed Access | Times Cited: 5

A rendering‐based lightweight network for segmentation of high‐resolution crack images
Hong-Hu Chu, Diran Yu, Weiwei Chen, et al.
Computer-Aided Civil and Infrastructure Engineering (2024)
Open Access | Times Cited: 4

Structural Health Monitoring of Bridges under the Influence of Natural Environmental Factors and Geomatic Technologies: A Literature Review and Bibliometric Analysis
Mihai Rădulescu, Gheorghe Rădulescu, Sanda Naș, et al.
Buildings (2024) Vol. 14, Iss. 9, pp. 2811-2811
Open Access | Times Cited: 4

The development of a digitally enhanced visual inspection framework for masonry bridges in the UK
Saeed Talebi, Song Wu, Mustafa Al-Adhami, et al.
Construction Innovation (2022) Vol. 22, Iss. 3, pp. 624-646
Open Access | Times Cited: 17

A Methodological Framework for Bridge Surveillance
Luigi Petti, Carmine Lupo, Constanza Maria De Gaetano
Applied Sciences (2023) Vol. 13, Iss. 8, pp. 4975-4975
Open Access | Times Cited: 11

Evaluating material passports for circularity in the construction industry
Song Mao, Wen-Jun Cao
Sustainable Production and Consumption (2025) Vol. 54, pp. 88-101
Closed Access

Corrosion Risk Assessment of Bridges in Oslo, Norway, Based on Visual Inspection
Amirhosein Shabani, Wahid Amin, Sven Kirschhausen
Lecture notes in civil engineering (2025), pp. 687-696
Closed Access

Creep-Fatigue Interaction for Carbon Fiber-Reinforced Polymer-Prestressed Concrete Bridge Girders
Yail J. Kim, Jun Wang, Woo-Tai Jung, et al.
ACI Structural Journal (2025)
Closed Access

An open-source GIS app for digitalising bridge inspections and automating BIM model integration
Fidel Lozano, Angela Montalvo, Edison Atencio, et al.
Structure and Infrastructure Engineering (2025), pp. 1-12
Closed Access

Creating a first-pass algorithm for corrosion assessment in bridge inspections using machine learning and UAV-collected imagery data
Hana N. Herndon, Iris Tien
Structure and Infrastructure Engineering (2025), pp. 1-15
Closed Access

Automating inspection data from bridge management system into bridge information model
Carlos Santos, Furkan Luleci, João Amado, et al.
Automation in Construction (2025) Vol. 174, pp. 106128-106128
Closed Access

Technical Assessment of 120-Year-Old Railway Riveted Truss Bridge
Andrzej Ambroziak, Maciej Malinowski
The Baltic Journal of Road and Bridge Engineering (2025) Vol. 20, Iss. 1, pp. 70-93
Open Access

Proposed Criteria for the In-Service Inspection of Pedestrian Bridges
Aedh Alharthi, Robert Connor
Journal of Bridge Engineering (2025) Vol. 30, Iss. 6
Closed Access

Enhancing bridge inspection data quality using machine learning
Chenhong Zhang, Xiaoming Lei, Ye Xia
Automation in Construction (2025) Vol. 175, pp. 106182-106182
Closed Access

Real-time prediction method of bridge technical status in complex environment based on dynamic Bayesian network
Enmao Quan, Guangjun Li
Intelligent Decision Technologies (2025)
Closed Access

Stochastic vibration prediction of long-span bridges under traffic load based on deep neural network of multi-mode information fusion
Zhou Huang, Xinfeng Yin, Quan Yang, et al.
Advances in Engineering Software (2025) Vol. 207, pp. 103953-103953
Closed Access

Machine-Aided Bridge Deck Crack Condition State Assessment Using Artificial Intelligence
Xin Zhang, Benjamin E. Wogen, Xiaoyu Liu, et al.
Sensors (2023) Vol. 23, Iss. 9, pp. 4192-4192
Open Access | Times Cited: 9

Identification of multiple bridge frequencies using a movable test vehicle by approximating axle responses to contact-point responses: theory and experiment
Zunian Zhou, Junyong Zhou, Jiangdong Deng, et al.
Journal of Civil Structural Health Monitoring (2024)
Closed Access | Times Cited: 3

A deep learning-based approach for assessment of bridge condition through fusion of multi-type inspection data
Yuchen Wang, C.S. Cai, Bing Han, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 128, pp. 107468-107468
Closed Access | Times Cited: 8

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