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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:

Hyper-tuning gene expression programming to develop interpretable prediction models for the strength of corncob ash-modified geopolymer concrete
Ji Zhou, Qiong Tian, Sohaib Nazar, et al.
Materials Today Communications (2023) Vol. 38, pp. 107885-107885
Closed Access | Times Cited: 11

Showing 11 citing articles:

Investigating the effectiveness of carbon nanotubes for the compressive strength of concrete using AI-aided tools
Han Sun, Muhammad Nasir Amin, Muhammad Tahir Qadir, et al.
Case Studies in Construction Materials (2024) Vol. 20, pp. e03083-e03083
Open Access | Times Cited: 8
Innovative use of corncob ash in concrete: a machine learning perspective on compressive strength prediction
Navaratnarajah Sathiparan
Innovative Infrastructure Solutions (2025) Vol. 10, Iss. 3
Closed Access
Towards improved flexural behavior of plastic-based mortars: An experimental and modeling study on waste material incorporation
Yingjie Li, Genhui Wang, Muhammad Nasir Amin, et al.
Materials Today Communications (2024) Vol. 40, pp. 109391-109391
Closed Access | Times Cited: 4
Impact of fine lightweight aggregates and coal waste on structural lightweight concrete: Experimental study and gene expression programming
Reza Sanjari Mijan, Mohammad Momeni, Mohammad Ali Hadianfard
Structures (2024) Vol. 63, pp. 106397-106397
Closed Access | Times Cited: 3
Compressive and tensile strength estimation of sustainable geopolymer concrete using contemporary boosting ensemble techniques
Ji Zhou, Qiong Tian, Ayaz Ahmad, et al.
REVIEWS ON ADVANCED MATERIALS SCIENCE (2024) Vol. 63, Iss. 1
Open Access | Times Cited: 3
Modeling the strength parameters of agro waste-derived geopolymer concrete using advanced machine intelligence techniques
Ahmed A. Alawi Al-Naghi, Muhammad Nasir Amin, Suleman Ayub Khan, et al.
REVIEWS ON ADVANCED MATERIALS SCIENCE (2024) Vol. 63, Iss. 1
Open Access | Times Cited: 2
Harnessing explainable artificial intelligence (XAI) for enhanced geopolymer concrete mix optimization
Bh Revathi, R. Gobinath, Govindasamy Bala, et al.
Results in Engineering (2024), pp. 103036-103036
Open Access | Times Cited: 2
Performance Comparison of Artificial Neural Network and Random Forest Models for Predicting the Compressive Strength of Fibre-Reinforced GGBS-Based Geopolymer Concrete Composites
Shimol Philip, M. Nidhi
Materials Circular Economy (2024) Vol. 6, Iss. 1
Closed Access | Times Cited: 1
Efficacy of sustainable cementitious materials on concrete porosity for enhancing the durability of building materials
HaoYang Huang, Muhammad Nasir Amin, Suleman Ayub Khan, et al.
REVIEWS ON ADVANCED MATERIALS SCIENCE (2024) Vol. 63, Iss. 1
Open Access
Prediction of the Unconfined Compressive Strength of a One-Part Geopolymer-Stabilized Soil Using Deep Learning Methods with Combined Real and Synthetic Data
Qinyi Chen, Guo Hu, Jun Wu
Buildings (2024) Vol. 14, Iss. 9, pp. 2894-2894
Open Access
Synthesis of Sustainable OPC‐Blended Geopolymer Concrete: Experimental and Modeling Study
Peng Zhou, Alireza Bahrami, Bin Gan, et al.
Advances in Civil Engineering (2024) Vol. 2024, Iss. 1
Open Access
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