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:

ICA-LightGBM Algorithm for Predicting Compressive Strength of Geo-Polymer Concrete
Qiang Wang, Jiali Qi, Shahab Hosseini, et al.
Buildings (2023) Vol. 13, Iss. 9, pp. 2278-2278
Open Access | Times Cited: 16

Showing 16 citing articles:

Prediction of Compressive Strength of Geopolymer Concrete Landscape Design: Application of the Novel Hybrid RF–GWO–XGBoost Algorithm
Jun Zhang, Ranran Wang, Yijun Lü, et al.
Buildings (2024) Vol. 14, Iss. 3, pp. 591-591
Open Access | Times Cited: 21

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

Decision tree models for the estimation of geo-polymer concrete compressive strength
Ji Zhou, Zhanlin Su, Shahab Hosseini, et al.
Mathematical Biosciences & Engineering (2023) Vol. 21, Iss. 1, pp. 1413-1444
Open Access | Times Cited: 25

Predicting grout’s uniaxial compressive strength (UCS) for fully grouted rock bolting system by applying ensemble machine learning techniques
Shahab Hosseini, Shima Entezam, Behshad Jodeiri Shokri, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 29, pp. 18387-18412
Open Access | Times Cited: 9

Predicting axial-bearing capacity of fully grouted rock bolting systems by applying an ensemble system
Shahab Hosseini, Behshad Jodeiri Shokri, Ali Mirzaghorbanali, et al.
Soft Computing (2024) Vol. 28, Iss. 17-18, pp. 10491-10518
Open Access | Times Cited: 7

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

Boosting-Based Machine Learning Applications in Polymer Science: A Review
Ivan Malashin, В С Тынченко, Andrei Gantimurov, et al.
Polymers (2025) Vol. 17, Iss. 4, pp. 499-499
Open Access

Predicting the uplift capacity of anchors in Bolton dense sand using LightGBM and FELA
Wittaya Jitchaijaroen, Duy Tan Tran, Suraparb Keawsawasvong, et al.
Marine Georesources and Geotechnology (2025), pp. 1-14
Closed Access

Enhancing the Accuracy of Low-Cost Inclinometers with Artificial Intelligence
Fidel Lozano, Seyyedbehrad Emadi, Seyedmilad Komarizadehasl, et al.
Buildings (2024) Vol. 14, Iss. 2, pp. 519-519
Open Access | Times Cited: 3

Smart sustainable architecture: leveraging machine learning for adaptive digital design and resource optimization
Ma’in Abu-shaikha
Asian Journal of Civil Engineering (2024)
Closed Access | Times Cited: 3

Prediction and Minimization of Blasting Flyrock Distance, Using Deep Neural Networks and Gravitational Search Algorithm, JAYA, and Multi-Verse Optimization algorithms
Eslam Ghojoghi, Mohamad Ali Ebrahimi Farsangi, H. R. Mansouri, et al.
Heliyon (2024) Vol. 10, Iss. 19, pp. e37876-e37876
Open Access | Times Cited: 1

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

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