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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:

An Improved Inspection Process and Machine-Learning-Assisted Bridge Condition Prediction Model
Jingang Fang, Jun Hu, Hazem Elzarka, et al.
Buildings (2023) Vol. 13, Iss. 10, pp. 2459-2459
Open Access | Times Cited: 11

Showing 11 citing articles:

Rapid evaluation of drivers’ ride comfort on long-span suspension bridges under VIV using Gaussian process regression
Han Li, Ziluo Xiong, Jin Zhu, et al.
Journal of Wind Engineering and Industrial Aerodynamics (2025) Vol. 260, pp. 106060-106060
Closed Access | Times Cited: 1
Predicting Concrete Bridge Deck Deterioration: A Hyperparameter Optimization Approach
Nour H. Almarahlleh, Hexu Liu, Osama Abudayyeh, et al.
Journal of Performance of Constructed Facilities (2024) Vol. 38, Iss. 3
Closed Access | Times Cited: 5
An Integrated Data-Driven System for Digital Bridge Management
Luigi Pallante, Pietro Meriggi, Fabrizio D’Amico, et al.
Buildings (2024) Vol. 14, Iss. 1, pp. 253-253
Open Access | Times Cited: 4
A New Module for the Evaluation of Bridges Based on Visual Inspection through a Digital Application Linked to an Up-to-Date Database of Damage Catalog for Colombia
Edgar Eduardo Muñoz Díaz, Andrés Vargas‐Luna, Federico Nuñez-Moreno, et al.
Buildings (2024) Vol. 14, Iss. 4, pp. 1150-1150
Open Access | Times Cited: 1
A Roadmap for Applying Digital Technology to Improve the Efficiency of Construction Supervision in Building Projects: Focusing on Korean Cases
Changwon Kim, Wi Sung Yoo, Junghoon Seo, et al.
Buildings (2023) Vol. 14, Iss. 1, pp. 75-75
Open Access | Times Cited: 1
Machine Learning and Statistical Test–Based Culvert Condition Impact Factor Analysis
Ce Gao, Zhibin Li, Hazem Elzarka, et al.
Advances in Civil Engineering (2024) Vol. 2024, pp. 1-9
Open Access
Prediction of Watershed Flow Behavior from Rainfall Events Using Machine Learning
Christopher Reid, Molina Williams, Nicole A. Roberts, et al.
SoutheastCon (2024), pp. 305-310
Closed Access
Managing Railway Bridges Crossing Waterways through a Machine Learning-Based Maintenance Policy
Tianyu Wang, Tsuyoshi TAKAYANAGI, Chi-Wei Chen, et al.
Journal of Bridge Engineering (2024) Vol. 30, Iss. 2
Closed Access
Girder Bridge Apparent Condition Rating Model Based on Machine Learning and Inspection Reports
Yongcheng Ji, Yufeng Qin, Wenyuan Xu
Sustainability (2024) Vol. 16, Iss. 24, pp. 10903-10903
Open Access
The Use Of Machine Learning, Computational Methods, And Robotics In Bridge Engineering: A Review
Parankush Koul
Journal of Civil Engineering Researchers (2024) Vol. 6, Iss. 4, pp. 9-21
Closed Access
Bridge Superstructure Component Performance Prediction Model Based on LightGBM
Youngjae Bae, Yangrok Choi, Kyungrok Kwon, et al.
Korean Society of Hazard Mitigation (2024) Vol. 24, Iss. 6, pp. 253-261
Open Access
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