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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:

Sustainable strategy of eggshell waste usage in cementitious composites: An integral testing and computational study for compressive behavior in aggressive environment
Nanlan Wang, Zhengjun Xia, Muhammad Nasir Amin, et al.
Construction and Building Materials (2023) Vol. 386, pp. 131536-131536
Closed Access | Times Cited: 19

Showing 19 citing articles:

Predictive modelling for the acid resistance of cement-based composites modified with eggshell and glass waste for sustainable and resilient building materials
Zhiqiang Chen, Muhammad Nasir Amin, Bawar Iftikhar, et al.
Journal of Building Engineering (2023) Vol. 76, pp. 107325-107325
Closed Access | Times Cited: 28
Evaluating the relevance of eggshell and glass powder for cement-based materials using machine learning and SHapley Additive exPlanations (SHAP) analysis
Muhammad Nasir Amin, Waqas Ahmad, Kaffayatullah Khan, et al.
Case Studies in Construction Materials (2023) Vol. 19, pp. e02278-e02278
Open Access | Times Cited: 26
Strength Reduction Due to Acid Attack in Cement Mortar Containing Waste Eggshell and Glass: A Machine Learning-Based Modeling Study
Fei Zhu, Xiangping Wu, Yijun Lü, et al.
Buildings (2024) Vol. 14, Iss. 1, pp. 225-225
Open Access | Times Cited: 15
Strength Estimation and Feature Interaction of Carbon Nanotubes-Modified Concrete Using Artificial Intelligence-Based Boosting Ensembles
Fei Zhu, Xiangping Wu, Yijun Lü, et al.
Buildings (2024) Vol. 14, Iss. 1, pp. 134-134
Open Access | Times Cited: 13
Evaluation of the performance of high-strength geopolymer concrete prepared with recycled coarse aggregate containing eggshell powder and rice husk ash cured at different curing regimes
Xiongzhou Yuan, Weiting Xu, Ali H. AlAteah, et al.
Construction and Building Materials (2024) Vol. 434, pp. 136722-136722
Closed Access | Times Cited: 11
A comparative study of prediction models for alkali-activated materials to promote quick and economical adaptability in the building sector
Siyab Ul Arifeen, Muhammad Nasir Amin, Waqas Ahmad, et al.
Construction and Building Materials (2023) Vol. 407, pp. 133485-133485
Closed Access | Times Cited: 18
Comparing the efficacy of GEP and MEP algorithms in predicting concrete strength incorporating waste eggshell and waste glass powder
Dong Wang, Muhammad Nasir Amin, Kaffayatullah Khan, et al.
Developments in the Built Environment (2024) Vol. 17, pp. 100361-100361
Open Access | Times Cited: 6
A soft-computing-based modeling approach for predicting acid resistance of waste-derived cementitious composites
Qingyu Cao, Xiongzhou Yuan, Muhammad Nasir Amin, et al.
Construction and Building Materials (2023) Vol. 407, pp. 133540-133540
Closed Access | Times Cited: 11
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
Влияние модифицирования цементной матрицы тонкодисперсной минеральной добавкой на её характеристики
L Ilina, Сергей Михайлович Анпилов, Денис Анатольевич Цекарь
ВЕСТНИК ИНЖЕНЕРНОЙ ШКОЛЫ ДВФУ (2025), Iss. 1(62), pp. 155-165
Open Access
Promoting the suitability of rice husk ash concrete in the building sector via contemporary machine intelligence techniques
Muhammad Nasir Amin, Suleman Ayub Khan, Kaffayatullah Khan, et al.
Case Studies in Construction Materials (2023) Vol. 19, pp. e02357-e02357
Open Access | Times Cited: 9
Investigating the rheological characteristics of alkali-activated concrete using contemporary artificial intelligence approaches
Muhammad Nasir Amin, Ahmed A. Alawi Al-Naghi, Roz‐Ud‐Din Nassar, et al.
REVIEWS ON ADVANCED MATERIALS SCIENCE (2024) Vol. 63, Iss. 1
Open Access | Times Cited: 3
Investigating the feasibility of genetic algorithms in predicting the properties of eco-friendly alkali-based concrete
Conghe Jin, Qian Yong-jiu, Suleman Ayub Khan, et al.
Construction and Building Materials (2023) Vol. 409, pp. 134101-134101
Closed Access | Times Cited: 8
Prediction of flexural strength of concrete with eggshell and glass powders: Advanced cutting-edge approach for sustainable materials
Xiaofei Liu, Ali H. AlAteah, Ali Alsubeai, et al.
REVIEWS ON ADVANCED MATERIALS SCIENCE (2024) Vol. 63, Iss. 1
Open Access | Times Cited: 2
Interpretable Machine-Learning Models to Predict the Flexural Strength of Fiber-Reinforced SCM-Blended Concrete Composites
Saad Shamim Ansari, Syed Muhammad Ibrahim, Syed Danish Hasan
Journal of structural design and construction practice. (2024) Vol. 30, Iss. 2
Closed Access | Times Cited: 2
Chemical, physical, fresh and mechanical properties of modified biocidal cements
Владимир Ерофеев, Sergey Gladkin, А. И. Родин, et al.
Structures (2024) Vol. 64, pp. 106649-106649
Closed Access | Times Cited: 1
Evaluating the strength loss and the effectiveness of glass and eggshell powder for cement mortar under acidic conditions
Hao Liu, Suleman Ayub Khan, Muhammad Nasir Amin, et al.
REVIEWS ON ADVANCED MATERIALS SCIENCE (2024) Vol. 63, Iss. 1
Open Access | Times Cited: 1
Predicting the damage to cementitious composites due to acid attack and evaluating the effectiveness of eggshell powder using interpretable artificial intelligence models
Conghe Jin, Qian Yong-jiu, Kaffayatullah Khan, et al.
Materials Today Communications (2023) Vol. 37, pp. 107333-107333
Closed Access | Times Cited: 3
Exploring the resilience of supplementary cementitious materials-based concrete to elevated temperatures via modern computing techniques
Ji Zhou, Qiong Tian, Ayaz Ahmad, et al.
Materials Today Communications (2023) Vol. 38, pp. 107894-107894
Closed Access | Times Cited: 3
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