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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 Liquefaction Study Using ENN, CA, and Biogeography Optimized-Based ANFIS Technique
Sujeet Kumar Umar, Sunita Kumari, Pijush Samui, et al.
International Journal of Applied Metaheuristic Computing (2021) Vol. 13, Iss. 1, pp. 1-23
Open Access | Times Cited: 9

Showing 9 citing articles:

Optimizing high-strength concrete compressive strength with explainable machine learning
Sanjog Chhetri Sapkota, Christina Panagiotakopoulou, Dipak Dahal, et al.
Multiscale and Multidisciplinary Modeling Experiments and Design (2025) Vol. 8, Iss. 3
Open Access | Times Cited: 2
Prediction of soil liquefaction for railway embankment resting on fine soil deposits using enhanced machine learning techniques
Sufyan Ghani, Amrendra Kumar
Journal of Earth System Science (2023) Vol. 132, Iss. 3
Closed Access | Times Cited: 25
A hyper parameterized artificial neural network approach for prediction of the factor of safety against liquefaction
Талас Фикрет Курназ, Caner Erden, Abdullah Hulusi Kökçam, et al.
Engineering Geology (2023) Vol. 319, pp. 107109-107109
Closed Access | Times Cited: 24
Application of Metaheuristic Algorithms in Ground Motion Selection and Scaling for Time History Analysis of Structures
Mohsen Akhani, Najme Alidadi, Shahram Pezeshk
Journal of Structural Engineering (2024) Vol. 150, Iss. 8
Closed Access | Times Cited: 4
Prediction of split tensile strength of recycled aggregate concrete leveraging explainable hybrid XGB with optimization algorithm
Sanjog Chhetri Sapkota, Sagar Sapkota, Gaurav Saini
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 7, Iss. 4, pp. 4343-4359
Closed Access | Times Cited: 3
Improving soil liquefaction prediction: A sophisticated ensemble classifier utilizing enhanced correlation features and a metaheuristic ant colony optimization approach
Nerusupalli Dinesh Kumar Reddy, Diksha Diksha, Ashok Kumar Gupta, et al.
Engineering Geology (2025), pp. 108036-108036
Closed Access
A comparative analysis of ensemble learning algorithms with hyperparameter optimization for soil liquefaction prediction
Alparslan Serhat Demir, Талас Фикрет Курназ, Abdullah Hulusi Kökçam, et al.
Environmental Earth Sciences (2024) Vol. 83, Iss. 9
Closed Access | Times Cited: 3
Evaluation of soil liquefaction potential using ensemble classifier based on grey wolves optimizer (GWO)
Nerusupalli Dinesh Kumar Reddy, Diksha Diksha, Ashok Kumar Gupta, et al.
Soil Dynamics and Earthquake Engineering (2024) Vol. 182, pp. 108750-108750
Closed Access | Times Cited: 2
Prediction of Split Tensile Strength of Recycled Aggregate Concrete Leveraging Explainable Hybrid XGB with Optimization Algorithm
Sanjog Chhetri Sapkota, Sagar Sapkota, Gaurav Saini
Research Square (Research Square) (2024)
Open Access
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