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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:

Formulation of estimation models for the compressive strength of concrete mixed with nanosilica and carbon nanotubes
Sohaib Nazar, Jian Yang, Muhammad Nasir Amin, et al.
Developments in the Built Environment (2022) Vol. 13, pp. 100113-100113
Open Access | Times Cited: 57

Showing 26-50 of 57 citing articles:

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: 6
A Simplified Mix Design for GGBS–Dolomite Geopolymer Concrete Using the Taguchi Method
P. K. Arjun Raj, D Sarath, Praveen Nagarajan, et al.
Iranian Journal of Science and Technology Transactions of Civil Engineering (2024) Vol. 48, Iss. 5, pp. 3189-3212
Closed Access | Times Cited: 5
Optimized prediction modeling of micropollutant removal efficiency in forward osmosis membrane systems using explainable machine learning algorithms
Ali Aldrees, Muhammad Faisal Javed, Majid Khan, et al.
Journal of Water Process Engineering (2024) Vol. 66, pp. 105937-105937
Closed Access | Times Cited: 5
Machine learning models for estimating the compressive strength of rubberized concrete subjected to elevated temperature: Optimization and hyper-tuning
Turki S. Alahmari, Irfan Ullah, Furqan Farooq
Sustainable Chemistry and Pharmacy (2024) Vol. 42, pp. 101763-101763
Closed Access | Times Cited: 5
Exploring the Rheological and Mechanical Properties of Alkali Activated Mortar Incorporating Waste Foundry Sand: A Comprehensive Experimental and Machine Learning Investigation
Muhammad Ashraf, Sohaib Nazar, Munir Iqbal, et al.
Results in Engineering (2024), pp. 102973-102973
Open Access | Times Cited: 5
Investigating the effects of MWCNTs on sustainable alkali-activated mortar: physical, rheological, and mechanical analysis
Sohaib Nazar, Jian Yang, Muhammad Salman Khan, et al.
Materials Today Sustainability (2023) Vol. 24, pp. 100519-100519
Closed Access | Times Cited: 13
Comparative analysis of conventional and ensemble machine learning models for predicting split tensile strength in thermal stressed SCM-blended lightweight concrete
Saad Shamim Ansari, A. Azeem, Mohammad Asad, et al.
Materials Today Proceedings (2024)
Closed Access | Times Cited: 4
Experimental investigation and predictive modeling of compressive strength and electrical resistivity of graphene nanoplatelets modified concrete
Muhammad Zubair Shahab, Waqar Anwar, Mana Alyami, et al.
Materials Today Communications (2023) Vol. 38, pp. 107639-107639
Closed Access | Times Cited: 11
Evaluating the compressive strength of glass powder-based cement mortar subjected to the acidic environment using testing and modeling approaches
Majdi Ameen Alfaiad, Kaffayatullah Khan, Waqas Ahmad, et al.
PLoS ONE (2023) Vol. 18, Iss. 4, pp. e0284761-e0284761
Open Access | Times Cited: 10
Development of prediction models for strength properties of concrete using gene expression programming
Asad U. Khan, Muhammad Faisal Javed, Majid Khan
Innovative Infrastructure Solutions (2025) Vol. 10, Iss. 3
Closed Access
Analyzing the compressive strength, eco-strength, and cost–strength ratio of agro-waste-derived concrete using advanced machine learning methods
Muhammad Nasir Amin, Bawar Iftikhar, Kaffayatullah Khan, et al.
REVIEWS ON ADVANCED MATERIALS SCIENCE (2025) Vol. 64, Iss. 1
Open Access
Design optimization of high-performance, cost-efficient concrete enhanced with nano-CNTs: A hybrid approach using machine learning and NSGA-II
A. A. Ebrahim
Materials Today Communications (2025), pp. 112251-112251
Closed Access
Exploring temporal patterns of rainfall: a time series assessment of variability, trends, in the Kashmir Himalayan ecosystem
Princess Mahapara, Humaira Hamid, Sandeep Samantaray
Discover Geoscience (2025) Vol. 3, Iss. 1
Open Access
Synthesis and Characterization of Polyhydroxyalkanoate/Graphene Oxide/Nanoclay Bionanocomposites: Experimental Results and Theoretical Predictions via Machine Learning Models
Elizabeth Champa-Bujaico, Ana M. Díez‐Pascual, Pilar García-Díaz
Biomolecules (2023) Vol. 13, Iss. 8, pp. 1192-1192
Open Access | Times Cited: 8
An integral approach for testing and computational analysis of glass powder in cementitious composites
Muhammad Nasir Amin, Sohaib Nazar, Mohammed Najeeb Al-Hashem, et al.
Case Studies in Construction Materials (2023) Vol. 18, pp. e02063-e02063
Open Access | Times Cited: 7
Strength Prediction of Smart Cementitious Materials Using a Neural Network Optimized by Particle Swarm Algorithm
Pengfei Zhang, Fan Kong, Hai Lu
Buildings (2024) Vol. 14, Iss. 7, pp. 2033-2033
Open Access | Times Cited: 2
Development Sustainable Concrete with High-volume Wastes Tile Ceramic: Role of Silica Nanoparticles Amalgamation
Zahraa Hussein Joudah, Nur Hafizah A. Khalid, Mohammad Hajmohammadian Baghban, et al.
Case Studies in Construction Materials (2024) Vol. 21, pp. e03733-e03733
Open Access | Times Cited: 2
Poly(3-hydroxybutyrate-co-3-hydroxyhexanoate) Bionanocomposites with Crystalline Nanocellulose and Graphene Oxide: Experimental Results and Support Vector Machine Modeling
Elizabeth Champa-Bujaico, Ana M. Díez‐Pascual, Pilar García-Díaz
Polymers (2023) Vol. 15, Iss. 18, pp. 3746-3746
Open Access | Times Cited: 5
Optimizing Waste Reduction in Manufacturing Processes Utilizing IoT Data with Machine Learning Approach for Sustainable Production
Faisal Altarazi
Scalable Computing Practice and Experience (2024) Vol. 25, Iss. 5, pp. 4192-4204
Open Access | Times Cited: 1
Producing sustainable binding materials using marble waste blended with fly ash and rice husk ash for building materials
Hua Si, Daoming Shen, Muhammad Nasir Amin, et al.
REVIEWS ON ADVANCED MATERIALS SCIENCE (2024) Vol. 63, Iss. 1
Open Access | Times Cited: 1
A Micromechanical-Based Semi-Empirical Model for Predicting the Compressive Strength Degradation of Concrete under External Sulfate Attack
Shagang Li, Xiaotong Yu, Shanyin Yang, et al.
Materials (2023) Vol. 16, Iss. 16, pp. 5542-5542
Open Access | Times Cited: 3
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
Bio-inspired based meta-heuristic approach for predicting the strength of fiber-reinforced based strain hardening cementitious composites
Y. A. Khan, Adeel Zafar, Muhammad Faisal Rehman, et al.
Heliyon (2023) Vol. 9, Iss. 11, pp. e21601-e21601
Open Access | Times Cited: 3
Sustainably produced concrete using weathered Linz-Donawitz slag as a fine aggregate Substitute: A comprehensive study with Artificial intelligence approach
Pavitar Singh, Heaven Singh, A.B. Danie Roy
Structures (2023) Vol. 54, pp. 964-980
Closed Access | Times Cited: 2
Metacd: A Meta Learning Framework for Cognitive Diagnosis Based on Continual Learning
Jin Wu, Xiaoyu Li, Chanjin Zheng, et al.
(2024)
Closed Access

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