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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:

Optimization of an Artificial Neural Network Using Three Novel Meta-heuristic Algorithms for Predicting the Shear Strength of Soil
Ahsan Rabbani, Pijush Samui, Sunita Kumari, et al.
Transportation Infrastructure Geotechnology (2023) Vol. 11, Iss. 4, pp. 1708-1729
Closed Access | Times Cited: 10

Showing 10 citing articles:

Utilization of Tree-Based Ensemble Models for Predicting the Shear Strength of Soil
Ahsan Rabbani, Jan Afzal Muslih, Mukul Saxena, et al.
Transportation Infrastructure Geotechnology (2024) Vol. 11, Iss. 4, pp. 2382-2405
Closed Access | Times Cited: 11
Optimization of an Artificial Neural Network Using Four Novel Metaheuristic Algorithms for the Prediction of Rock Fragmentation in Mine Blasting
Ahsan Rabbani, Divesh Ranjan Kumar, Yewuhalashet Fissha, et al.
Journal of The Institution of Engineers (India) Series D (2024)
Closed Access | Times Cited: 5
Optimization of artificial neural network for predicting radon exhalation rates and effective radium content in soil samples
Selin Erzin
Earth Science Informatics (2025) Vol. 18, Iss. 1
Closed Access
ANN-Based Approach for the Prediction of Peak Particle Velocity of Ground Induced by Underground Metro Operations
Namrata Bhattacharjee, Arnab Sur, Bappaditya Manna, et al.
Transportation Infrastructure Geotechnology (2025) Vol. 12, Iss. 2
Closed Access
Evaluating the slope behavior for geophysical flow prediction with advanced machine learning combinations
Kennedy C. Onyelowe, Ahmed M. Ebid, Shadi Hanandeh, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Data-Driven Optimised XGBoost for Predicting the Performance of Axial Load Bearing Capacity of Fully Cementitious Grouted Rock Bolting Systems
Behshad Jodeiri Shokri, Ali Mirzaghorbanali, Kevin McDougall, et al.
Applied Sciences (2024) Vol. 14, Iss. 21, pp. 9925-9925
Open Access | Times Cited: 4
A comprehensive study on the application of soft computing methods in predicting and evaluating rock fragmentation in an opencast mining
Ahsan Rabbani, Hanan Samadi, Yewuhalashet Fissha, et al.
Earth Science Informatics (2024)
Closed Access | Times Cited: 3
Assessing the shear strength of sandy soil reinforced with polyethylene-terephthalate: an AI-based approach
Masoud Samaei, Morteza Alinejad Omran, Mohsen Keramati, et al.
Earth Science Informatics (2024) Vol. 17, Iss. 5, pp. 4507-4526
Closed Access | Times Cited: 2
A hybrid learning approach for simulating settlement of shallow foundation
Jiaman Li, Jundong Wu, Wei Hu
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 8, Iss. 1
Closed Access
Assessment of soil classification using soft computing approaches for Erenler (Afyonkarahisar) region
Sami Serkan İşoğlu, Ahmet Yıldız, Mahmut Mutlutürk, et al.
Earth Science Informatics (2024) Vol. 18, Iss. 1
Closed Access
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