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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:

Machine Learning Techniques for Evaluating Concrete Strength with Waste Marble Powder
Nitisha Sharma, Mohindra Singh Thakur, Parveen Sihag, et al.
Materials (2022) Vol. 15, Iss. 17, pp. 5811-5811
Open Access | Times Cited: 23

Showing 23 citing articles:

Prediction of jet impingement solar thermal air collector thermohydraulic performance using soft computing techniques
Raj Kumar, Nitisha Sharma, Chahat, et al.
Case Studies in Thermal Engineering (2024) Vol. 55, pp. 104144-104144
Open Access | Times Cited: 17
Performance analysis and modelling of circular jets aeration in an open channel using soft computing techniques
Diksha Puri, Raj Kumar, Sushil Kumar, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 8
Evaluating the Strength and Impact of Raw Ingredients of Cement Mortar Incorporating Waste Glass Powder Using Machine Learning and SHapley Additive ExPlanations (SHAP) Methods
Hassan Ali Alkadhim, Muhammad Nasir Amin, Waqas Ahmad, et al.
Materials (2022) Vol. 15, Iss. 20, pp. 7344-7344
Open Access | Times Cited: 35
Optimizing machine learning techniques and SHapley Additive exPlanations (SHAP) analysis for the compressive property of self-compacting concrete
Zhiyuan Wang, Huihui Liu, Muhammad Nasir Amin, et al.
Materials Today Communications (2024) Vol. 39, pp. 108804-108804
Closed Access | Times Cited: 5
Performance evaluation of the strength properties of sustainable concrete utilizing waste marble dust and glass fibre employing artificial neural network and particle swarm optimization algorithm
Prashant Lahre, Kundan Meshram, Umank Mishra, et al.
Innovative Infrastructure Solutions (2025) Vol. 10, Iss. 2
Closed Access
Heat treatment control technology of high-strength steel gears based on support vector machine
Yanzhong Wang, Libin Zhang, Yiping Su, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Experimental assessment and hybrid machine learning-based feature importance analysis with the optimization of compressive strength of waste glass powder-modified concrete
Turki S. Alahmari, Md. Kawsarul Islam Kabbo, Md. Habibur Rahman Sobuz, et al.
Materials Today Communications (2025), pp. 112081-112081
Closed Access
Strength evaluation of eco-friendly waste-derived self-compacting concrete via interpretable genetic-based machine learning models
Zhiqiang Chen, Bawar Iftikhar, Ayaz Ahmad, et al.
Materials Today Communications (2023) Vol. 37, pp. 107356-107356
Closed Access | Times Cited: 11
Assessing Waste Marble Powder Impact on Concrete Flexural Strength Using Gaussian Process, SVM, and ANFIS
Nitisha Sharma, Mohindra Singh Thakur, Raj Kumar, et al.
Processes (2022) Vol. 10, Iss. 12, pp. 2745-2745
Open Access | Times Cited: 17
Assessment of Marshall Stability of asphalt concrete with plastic waste using soft computing techniques
Bhupender Kumar, Navsal Kumar
Multiscale and Multidisciplinary Modeling Experiments and Design (2023) Vol. 6, Iss. 4, pp. 733-745
Closed Access | Times Cited: 9
Analytical Investigation of the Impact of Jet Geometry on Aeration Effectiveness Using Soft Computing Techniques
Diksha Puri, Raj Kumar, Parveen Sihag, et al.
ACS Omega (2023) Vol. 8, Iss. 35, pp. 31811-31825
Open Access | Times Cited: 7
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: 2
Environment friendly sustainable concrete produced from marble waste powder
A. Rajesh, P. Prasanthni, S. Senthilkumar, et al.
Global NEST Journal (2024), pp. 1-9
Open Access | Times Cited: 2
Machine learning techniques to evaluate the ultrasonic pulse velocity of hybrid fiber-reinforced concrete modified with nano-silica
Kaffayatullah Khan, Muhammad Nasir Amin, Umbreen Us Sahar, et al.
Frontiers in Materials (2022) Vol. 9
Open Access | Times Cited: 10
Marshall Stability Prediction with Glass and Carbon Fiber Modified Asphalt Mix Using Machine Learning Techniques
Ankita Upadhya, Mohindra Singh Thakur, Mohammed Saleh Al Ansari, et al.
Materials (2022) Vol. 15, Iss. 24, pp. 8944-8944
Open Access | Times Cited: 9
A Machine-Learning-Based Approach for Predicting Mechanical Performance of Semi-Porous Hip Stems
Khaled Akkad, Hassan Mehboob, Rakan Alyamani, et al.
Journal of Functional Biomaterials (2023) Vol. 14, Iss. 3, pp. 156-156
Open Access | Times Cited: 5
Research on Recycling of Phosphorus Tailings Powder in Open-Graded Friction Course Asphalt Concrete
Yue Xiao, Xinjiang Ju, Chao Li, et al.
Materials (2023) Vol. 16, Iss. 5, pp. 2000-2000
Open Access | Times Cited: 4
Assessment of flexural strength of concrete with marble powder applying soft computing techniques
Nitisha Sharma, Mohindra Singh Thakur, Ankita Upadhya, et al.
Journal of Building Pathology and Rehabilitation (2022) Vol. 8, Iss. 1
Closed Access | Times Cited: 6
Application of distinct multi criteria decision analysis techniques in the manufacturing sector: A comprehensive review
Nilanjan Mazumdar, Jai Kumar Sharma, Shavkatov Navruzbek Shavkatovich, et al.
Materials Today Proceedings (2023)
Closed Access | Times Cited: 3
Evolutionary Artificial Intelligence Methods to Evaluate the Mechanical Strength of Cement Mortar Modified with Eggshell Powder
Mohammed Najeeb Al-Hashem, Muhammad Nasir Amin, Waqas Ahmad, et al.
Science of Advanced Materials (2022) Vol. 14, Iss. 8, pp. 1423-1436
Closed Access | Times Cited: 3
An AI-driven approach for modeling the compressive strength of sustainable concrete incorporating waste marble as an industrial by-product
Ramin Kazemi, Seyedali Mirjalili
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Evaluation of the mechanical performance and durability of concrete using reinforced cement concrete in the partial replacement of coarse and fine aggregates
S. Karthik, Mukuloth Srinivasnaik, G. Kasirajan, et al.
Materials Today Proceedings (2024)
Closed Access
Prediction of flexural strength of FRC pavements by soft computing techniques
A. Kimteta, Mohindra Singh Thakur, Parveen Sihag, et al.
Archives of Materials Science and Engineering (2022) Vol. 117, Iss. 1, pp. 13-24
Closed Access | Times Cited: 1
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