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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 methods for estimating compressive strength of high-performance alkali-activated concrete
Torkan Shafighfard, Farzin Kazemi, Neda Asgarkhani, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 109053-109053
Closed Access | Times Cited: 47

Showing 1-25 of 47 citing articles:

Transfer learning framework for modelling the compressive strength of ultra-high performance geopolymer concrete
Ho Anh Thu Nguyen, Duy Hoang Pham, Anh Tuấn Lê, et al.
Construction and Building Materials (2025) Vol. 459, pp. 139746-139746
Closed Access | Times Cited: 1
Grey wolf optimizer integrated within boosting algorithm: Application in mechanical properties prediction of ultra high-performance concrete including carbon nanotubes
Aybike Özyüksel Çiftçioğlu, Farzin Kazemi, Torkan Shafighfard
Applied Materials Today (2025) Vol. 42, pp. 102601-102601
Closed Access | Times Cited: 1
Active learning on stacked machine learning techniques for predicting compressive strength of alkali-activated ultra-high-performance concrete
Farzin Kazemi, Torkan Shafighfard, Robert Jankowski, et al.
Archives of Civil and Mechanical Engineering (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 9
Leveraging machine learning to minimize experimental trials and predict hot deformation behaviour in dual phase high entropy alloys
Sandeep Jain, Reliance Jain, K. Raja Rao, et al.
Materials Today Communications (2024), pp. 110813-110813
Closed Access | Times Cited: 5
Filament geometry control of printable geopolymer using experimental and data driven approaches
Ali Rezaei Lori, Mehdi Mehrali
Construction and Building Materials (2025) Vol. 461, pp. 139853-139853
Open Access
Expansion Characteristics and Shear Behavior of Reinforced Concrete Beams Under Non-Uniform Expansion Induced by Alkali–Silica Reaction
Sheng Feng, Xuehui An, Mengliang Li, et al.
Materials (2025) Vol. 18, Iss. 2, pp. 312-312
Open Access
FS-DDPG: Optimal Control of a Fan Coil Unit System Based on Safe Reinforcement Learning
Chenyang Li, Qiming Fu, Jianping Chen, et al.
Buildings (2025) Vol. 15, Iss. 2, pp. 226-226
Open Access
Sensorless Position Estimation in Electromagnetic Launchers Using Recurrent Neural Networks with Repeated k-Fold Cross-Validation
Harun ÖZBAY, İlyas Özer, Adem Dalcalı, et al.
Arabian Journal for Science and Engineering (2025)
Open Access
Development of Robust Machine Learning Models for Predicting Flexural Strengths of Fiber-Reinforced Polymeric Composites
Abdulhammed K. Hamzat, Umar Salman, Md Shafinur Murad, et al.
Hybrid Advances (2025), pp. 100385-100385
Open Access
Robust graph contrastive learning with multi-hop views for node classification
Yutong Wang, Junheng Zhang, Rui Cao, et al.
Applied Soft Computing (2025), pp. 112783-112783
Closed Access
Unpacking predictive relationships in graphene oxide-reinforced cementitious nanocomposites: An explainable ensemble learning approach for augmented data
Hossein Adel, Majid Ilchi Ghazaan, Asghar Habibnejad Korayem
Engineering Applications of Artificial Intelligence (2025) Vol. 144, pp. 110123-110123
Closed Access
RAGN-R: A multi-subject ensemble machine-learning method for estimating mechanical properties of advanced structural materials
Farzin Kazemi, Aybike Özyüksel Çiftçioğlu, Torkan Shafighfard, et al.
Computers & Structures (2025) Vol. 308, pp. 107657-107657
Closed Access
A Deep Learning-Based Method for Measuring Apparent Disease Areas of Sling Sheaths
Jinsheng Du, Haibin Liu, Yaoyang Liu, et al.
Buildings (2025) Vol. 15, Iss. 3, pp. 375-375
Open Access
Machine Learning-Assisted Prediction of Durability Behavior in Pultruded Fiber-Reinforced Polymeric (PFRP) Composites
Ammar A. Alshannaq, Mohammad F. Tamimi, Mu’ath I. Abu Qamar
Results in Engineering (2025) Vol. 25, pp. 104198-104198
Open Access
Machine Learning Techniques for Estimating High–Temperature Mechanical Behavior of High Strength Steels
Cüneyt Yazıcı, F. J. Domínguez-Gutiérrez
Results in Engineering (2025) Vol. 25, pp. 104242-104242
Closed Access
Bending Performance of Steel-Reinforced Concrete Beams Strengthened with Highly Ductile Cementitious Composites in the Compression Zone
Yunfeng Pan, Junmin Wang, Bing Chang, et al.
Buildings (2025) Vol. 15, Iss. 4, pp. 510-510
Open Access
Unveiling the Combined Thermal and High Strain Rate Effects on Compressive Behavior of Steel Fiber-Reinforced Concrete: A Novel Predictive Approach
Mohsin Ali, Li Chen, Bin Feng, et al.
Case Studies in Construction Materials (2025), pp. e04384-e04384
Open Access
A rapid machine learning-based demand estimation framework for generic buildings equipped with base isolation systems
Amin Banaei, Mojtaba Salkhordeh, Siavash Soroushian
Journal of Building Engineering (2025) Vol. 103, pp. 111971-111971
Closed Access
JaunENet: An effective non-invasive detection of multi-class jaundice deep learning method with limited labeled data
Yuanting Ma, Yu Meng, Xiaojun Li, et al.
Applied Soft Computing (2025), pp. 112878-112878
Closed Access
Data‐driven machine learning regression methods to predict the residual strength in FRP composites subjected to fatigue
Anand Gaurav
Polymer Composites (2025)
Closed Access
A review on properties and multi-objective performance predictions of concrete based on machine learning models
Bowen Ni, Md Zillur Rahman, Shuaicheng Guo, et al.
Materials Today Communications (2025), pp. 112017-112017
Closed Access
Explainable ensemble algorithms with grey wolf optimization for estimation of the tensile performance of polyethylene fiber-reinforced engineered cementitious composite
Mehmet Emin TABAR, Metin Katlav, Kâzım Türk
Materials Today Communications (2025), pp. 112028-112028
Closed Access
Analyzing High-Speed Rail’s Transformative Impact on Public Transport in Thailand Using Machine Learning
Chinnakrit Banyong, Natthaporn Hantanong, Panuwat Wisutwattanasak, et al.
Infrastructures (2025) Vol. 10, Iss. 3, pp. 57-57
Open Access
Utilizing big data and categorical boosting modeling methodology to interpret the load-deflection behavior of steel fiber-reinforced concrete beams
Ahmet Tüken, Yassir M. Abbas, Nadeem A. Siddiqui
Engineering Applications of Artificial Intelligence (2025) Vol. 148, pp. 110377-110377
Closed Access
Dual-stage manifold preserving mixed supervised learning for bogie fault diagnosis under variable conditions
Ning Wang, Limin Jia, Yong Qin, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 149, pp. 110512-110512
Closed Access
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