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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 explainable artificial-intelligence-aided safety factor prediction of road embankments
Azam Abdollahi, Deli Li, Jian Deng, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 108854-108854
Open Access | Times Cited: 16

Showing 16 citing articles:

A Multi-Module Explainable Artificial Intelligence Framework for Project Risk Management: Enhancing Transparency in Decision-making
Bodrunnessa Badhon, Ripon K. Chakrabortty, Sreenatha G. Anavatti, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 148, pp. 110427-110427
Closed Access | Times Cited: 2
Prediction of soil arsenic concentration in European soils: a dimensionality reduction and ensemble learning approach
Mohammad Sadegh Barkhordari, Chongchong Qi
Journal of Hazardous Materials Advances (2025) Vol. 17, pp. 100604-100604
Open Access | Times Cited: 1
Hybrid machine learning algorithms for estimating shear strength of steel-reinforced concrete composite shear walls
Mohammad Sadegh Barkhordari, Shekufe Khoshnazar
Multiscale and Multidisciplinary Modeling Experiments and Design (2025) Vol. 8, Iss. 2
Closed Access
Developing an explainable artificial intelligent (XAI) model for predicting pile driving vibrations in Bangkok’s subsoil
Sompote Youwai, Anuwat Pamungmoon
Neural Computing and Applications (2025)
Closed Access
The impact of rainfall and slope on hillslope runoff and erosion depending on machine learning
Naichang Zhang, Zhaohui Xia, Peng Li, et al.
Frontiers in Environmental Science (2025) Vol. 13
Open Access
Machine learning techniques for predictive modelling in geotechnical engineering: a succinct review
Shrikant M. Harle, Rajan L. Wankhade
Deleted Journal (2025) Vol. 2, Iss. 1
Open Access
A novel hybrid group method of data handling and Levenberg Marquardt model for estimating total organic carbon in source rocks with explainable artificial intelligence
Christopher N. Mkono, Chuanbo Shen, Alvin K. Mulashani, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 144, pp. 110137-110137
Closed Access
Repeated impact failure mechanisms in valve port for water hydraulic high-speed on/off valve: Experimental and numerical analysis
Lingkang Meng, Zhenyao Wang, An Li, et al.
Engineering Failure Analysis (2025), pp. 109503-109503
Closed Access
Comprehensive analysis of structural parameters influencing the fundamental period of steel-braced RC buildings using machine learning interpretability
Taimur Rahman, Md. Farhad Momin, Afra Anam Provasha
AI in Civil Engineering (2025) Vol. 4, Iss. 1
Open Access
Enhancing Traffic Accident Severity Prediction: Feature Identification Using Explainable AI
Jamal Alotaibi
Vehicles (2025) Vol. 7, Iss. 2, pp. 38-38
Open Access
Vibration characteristics and damping isolation of large lightning arresters under seismic loading: experimental and machine learning analysis
Yongkun Yang, Quanjun Zhu, Liu Feng, et al.
KSCE Journal of Civil Engineering (2025), pp. 100271-100271
Open Access
Failure mode identification in reinforced concrete flat slabs using advanced ensemble neural networks
Mohammad Sadegh Barkhordari, Hadi Fattahi, Danial Jahed Armaghani, et al.
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 7, Iss. 6, pp. 5759-5773
Open Access | Times Cited: 2
Predicting Factor of Safety of Slope Using an Improved Support Vector Machine Regression Model
Daxing Lei, Yaoping Zhang, Zhigang Lu, et al.
Mathematics (2024) Vol. 12, Iss. 20, pp. 3254-3254
Open Access | Times Cited: 2
Efficiency and explainability of design‐oriented machine learning models to estimate seismic response, fragility, and loss of a steel building inventory
Mohsen Zaker Esteghamati, Shivalinga Baddipalli
Earthquake Engineering & Structural Dynamics (2024)
Closed Access | Times Cited: 2
A Condition Assessment Tool for Steel Bridge Deck Pavement Systems Based on Data Balancing Methods and Machine Learning Algorithms
Yazhou Wei, Rongqing Ji, Qingfu Li, et al.
Buildings (2024) Vol. 14, Iss. 9, pp. 2959-2959
Open Access | Times Cited: 1
Parametric Study of Rainfall-Induced Instability in Fine-Grained Sandy Soil
Samuel A. Espinosa F, M. Hesham El Naggar
Geotechnics (2024) Vol. 4, Iss. 4, pp. 1159-1174
Open Access
A LiDAR-fused DenseNet FSSSSSSramework for Automated Sand Particle Size Distribution Analysis
Huaguo Chen, Nan Cao, Wei Xiong, et al.
Journal of Building Engineering (2024), pp. 111663-111663
Closed Access
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