OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Enhancing the exploitation of natural resources for green energy: An application of LSTM-based meta-model for aluminum prices forecasting
Moses Olabhele Esangbedo, Blessing Olamide Taiwo, Hawraa H. Abbas, et al.
Resources Policy (2024) Vol. 92, pp. 105014-105014
Closed Access | Times Cited: 8

Showing 8 citing articles:

External Uncertainty and Raw Material Price in Energy Transition: Implications for Green Development
Zhaoshuai Pan, Jiaxing Guo
Renewable Energy (2025), pp. 122354-122354
Closed Access | Times Cited: 1

Dimensionless Machine Learning: Dimensional Analysis to Improve LSSVM and ANN models and predict bearing capacity of circular foundations
Hongchao Li, Shahab Hosseini, Behrouz Gordan, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 4
Open Access | Times Cited: 1

Fostering sustainable mining practices in rock blasting: Assessment of blast toe volume prediction using comparative analysis of hybrid ensemble machine learning techniques
Esma Kahraman, Shahab Hosseini, Blessing Olamide Taiwo, et al.
Journal of Safety and Sustainability (2024) Vol. 1, Iss. 2, pp. 75-88
Open Access | Times Cited: 10

Data-Driven Optimized XGBoost and LightGBM for Predicting the Judd-Ofelt Parameters in Rare-Earth Doped Phosphate-Based Glasses
Fahimeh Ahmadi, Mohsen Hajihassani, Stefanos Papanikolaou, et al.
Ceramics International (2025)
Closed Access

Robust Prediction of Water Arsenic Levels Downstream of Gold Mines Affected by Acid Mine Drainage Using Hybrid Ensemble Machine Learning and Soft Computing
Ezzeddin Bakhtavar, Shahab Hosseini, Haroon R. Mian, et al.
Journal of Hazardous Materials (2025) Vol. 489, pp. 137665-137665
Closed Access

Soft Computing Techniques to Model the Compressive Strength in Geo-Polymer Concrete: Approaches Based on an Adaptive Neuro-Fuzzy Inference System
Zhiguo Chang, Xuyang Shi, Kaidan Zheng, et al.
Buildings (2024) Vol. 14, Iss. 11, pp. 3505-3505
Open Access | Times Cited: 1

Page 1

Scroll to top