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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:

Assessment of mechanical properties with machine learning modeling and durability, and microstructural characteristics of a biochar-cement mortar composite
Md. Habibur Rahman Sobuz, M.H. Khan, Md. Kawsarul Islam Kabbo, et al.
Construction and Building Materials (2023) Vol. 411, pp. 134281-134281
Closed Access | Times Cited: 55

Showing 1-25 of 55 citing articles:

Assessing the influence of sugarcane bagasse ash for the production of eco-friendly concrete: Experimental and machine learning approaches
Md. Habibur Rahman Sobuz, Al-Imran, Shuvo Dip Datta, et al.
Case Studies in Construction Materials (2023) Vol. 20, pp. e02839-e02839
Open Access | Times Cited: 49
Biochar as green adsorbents for pharmaceutical pollution in aquatic environments: A review
Kosar Hikmat Hama Aziz, Fryad S. Mustafa, Mozart A. Hassan, et al.
Desalination (2024) Vol. 583, pp. 117725-117725
Closed Access | Times Cited: 32
Optimization of recycled rubber self-compacting concrete: Experimental findings and machine learning-based evaluation
Md. Habibur Rahman Sobuz, Limon Paul Joy, Abu Sayed Mohammad Akid, et al.
Heliyon (2024) Vol. 10, Iss. 6, pp. e27793-e27793
Open Access | Times Cited: 29
High-temperature effect on the mechanical behavior of recycled fiber-reinforced concrete containing volcanic pumice powder: An experimental assessment combined with machine learning (ML)-based prediction
Jannat Ara Jabin, Md. Tareq Hossain Khondoker, Md. Habibur Rahman Sobuz, et al.
Construction and Building Materials (2024) Vol. 418, pp. 135362-135362
Closed Access | Times Cited: 26
Analysis of the characteristics and environmental benefits of rice husk ash as a supplementary cementitious material through experimental and machine learning approaches
Shuvo Dip Datta, Md. Mamun Sarkar, Arifa Sultana Rakhe, et al.
Innovative Infrastructure Solutions (2024) Vol. 9, Iss. 4
Closed Access | Times Cited: 20
Combined influence of modified recycled concrete aggregate and metakaolin on high-strength concrete production: Experimental assessment and machine learning quantifications with advanced SHAP and PDP analyses
Md. Habibur Rahman Sobuz, Md Mushfiqur Rahman, Rahat Aayaz, et al.
Construction and Building Materials (2025) Vol. 461, pp. 139897-139897
Closed Access | Times Cited: 8
Assessing the Engineering Properties and Environmental Impact with Explainable Machine Learning analysis of Sustainable Concrete Utilizing Waste Banana Leaf Ash as a Partial Cement Replacement
Asif Mahmud Momshad, Md. Hamidul Islam, Shuvo Dip Datta, et al.
Cleaner Engineering and Technology (2025), pp. 100886-100886
Open Access | Times Cited: 7
Microstructural behavior and explainable machine learning aided mechanical strength prediction and optimization of recycled glass-based solid waste concrete
Md. Habibur Rahman Sobuz, Md. Kawsarul Islam Kabbo, Turki S. Alahmari, et al.
Case Studies in Construction Materials (2025), pp. e04305-e04305
Open Access | Times Cited: 5
Compressive strength prediction models for concrete containing nano materials and exposed to elevated temperatures
Hany A. Dahish, Ahmed D. Almutairi
Results in Engineering (2025), pp. 103975-103975
Open Access | Times Cited: 2
Experimental Investigation on Fresh, Hardened and Durability Characteristics of Partially Replaced E-Waste Plastic Concrete: A Sustainable Concept with Machine Learning Approaches
Md. Hamidul Islam, Zannatun Noor Prova, Md. Habibur Rahman Sobuz, et al.
Heliyon (2025) Vol. 11, Iss. 2, pp. e41924-e41924
Open Access | Times Cited: 2
Deep Learning and Genetic Programming-Based Soft-Computing Prediction Models for Metakaolin Mortar
Manish Kumar, Divesh Ranjan Kumar, Warit Wipulanusat, et al.
Transportation Infrastructure Geotechnology (2025) Vol. 12, Iss. 1
Closed Access | Times Cited: 1
The state-of-the-art review on biochar as green additives in cementitious composites: performance, applications, machine learning predictions, and environmental and economic implications
Ping Ye, Binglin Guo, Huyong Qin, et al.
Biochar (2025) Vol. 7, Iss. 1
Open Access | Times Cited: 1
High-Strength Self-Compacting Concrete Production Incorporating Supplementary Cementitious Materials: Experimental Evaluations and Machine Learning Modelling
Md. Habibur Rahman Sobuz, Fahim Shahriyar Aditto, Shuvo Dip Datta, et al.
International Journal of Concrete Structures and Materials (2024) Vol. 18, Iss. 1
Open Access | Times Cited: 12
Assessment of mechanical, durability and microstructural performance of sulphate-resisting cement concrete over portland cement in the presence of salinity
Ayan Saha, Tanjil Morshed Tonmoy, Md. Habibur Rahman Sobuz, et al.
Construction and Building Materials (2024) Vol. 420, pp. 135527-135527
Closed Access | Times Cited: 10
Risk Analysis-based Decision Support System for Designing Cybersecurity of Information Technology
Barna Biswas, Sadia Sharmin, Md. Azad Hossain, et al.
Journal of Business and Management Studies (2024) Vol. 6, Iss. 5, pp. 13-22
Open Access | Times Cited: 10
Optimizing Resource Management for IoT Devices in Constrained Environments
Sadia Islam Nilima, Md Khokan Bhuyan, Md. Kamruzzaman, et al.
Journal of Computer and Communications (2024) Vol. 12, Iss. 08, pp. 81-98
Open Access | Times Cited: 9
Analyze the potential for employing internally welded steel plates to improve the shear response of high-strength self-compacting concrete-encased steel beams with large web openings
Ibrahim Y. Hakeem, Walid Mansour, Weiwen Li, et al.
Engineering Structures (2024) Vol. 304, pp. 117636-117636
Closed Access | Times Cited: 8
Compressive behavior of eco-friendly concrete containing glass waste and recycled concrete aggregate using experimental investigation and machine learning techniques
Saad A. Yehia, Ramy I. Shahin, Sabry Fayed
Construction and Building Materials (2024) Vol. 436, pp. 137002-137002
Closed Access | Times Cited: 8
Convolutional Neural Networks Based Detection System for Cyber-attacks in Industrial Control Systems
MD KHOKAN BHUYAN, Md. Kamruzzaman, Sadia Islam Nilima, et al.
Journal of Computer Science and Technology Studies (2024) Vol. 6, Iss. 3, pp. 86-96
Open Access | Times Cited: 8
Evaluation of textile effluent treatment plant sludge as supplementary cementitious material in concrete using experimental and machine learning approaches
Md Mottakin, Shuvo Dip Datta, Md. Mehrab Hossain, et al.
Journal of Building Engineering (2024) Vol. 96, pp. 110627-110627
Closed Access | Times Cited: 8
Behavioral Intention to Adopt Artificial Intelligence in Educational Institutions: A Hybrid Modeling Approach
Ashok Ghimire, Md Ahsan Ullah Imran, Barna Biswas, et al.
Journal of Computer Science and Technology Studies (2024) Vol. 6, Iss. 3, pp. 56-64
Open Access | Times Cited: 7
Applying the Technology Acceptance Model (TAM) in Information Technology System to Evaluate the Adoption of Decision Support System
Md Azhad Hossain, Anamika Tiwari, Sanchita Saha, et al.
Journal of Computer and Communications (2024) Vol. 12, Iss. 08, pp. 242-256
Open Access | Times Cited: 7
Intelligent prediction and understanding of self-shrinkage in ultra-high performance concrete based on machine learning
Hao Ji, Wenbin Jiao, Xie Xu, et al.
Case Studies in Construction Materials (2025) Vol. 22, pp. e04255-e04255
Open Access
Evaluating the Impact Performance of Environmentally Friendly Asphalt Concrete Slabs Containing Different Proportions of Recycled Concrete Aggregate and Corrugated Steel Fibers
Walid Mansour, Diaa Ashraf, Ali Basha
International Journal of Concrete Structures and Materials (2025) Vol. 19, Iss. 1
Open Access
Integrating Experimental Analysis and Gradient Boosting for the Durability Assessment of Lime-Based Mortar in Acidic Environment
Ali Taheri, Nima Azimi, Daniel V. Oliveira, et al.
Buildings (2025) Vol. 15, Iss. 3, pp. 408-408
Open Access
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