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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:

Integrated behavioural analysis of FRP-confined circular columns using FEM and machine learning
Liaqat Ali, Haytham F. Isleem, Alireza Bahrami, et al.
Composites Part C Open Access (2024) Vol. 13, pp. 100444-100444
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Numerical and machine learning modeling of GFRP confined concrete-steel hollow elliptical columns
Haytham F. Isleem, Qiong Tang, Mostafa M. Alsaadawi, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 27
Prediction of compressive strength of high-volume fly ash self-compacting concrete with silica fume using machine learning techniques
Shashikant Kumar, Rakesh Kumar, Baboo Rai, et al.
Construction and Building Materials (2024) Vol. 438, pp. 136933-136933
Closed Access | Times Cited: 18
Machine learning and nonlinear finite element analysis of fiber‐reinforced polymer‐confined concrete‐steel double‐skin tubular columns under axial compression
Haytham F. Isleem, Qiong Tang, Naga Dheeraj Kumar Reddy Chukka, et al.
Structural Concrete (2024)
Closed Access | Times Cited: 17
Modelling the mechanical properties of concrete produced with polycarbonate waste ash by machine learning
S. Sathvik, Rakesh Kumar, Néstor Ulloa, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 16
Prediction of mechanical properties of high‐performance concrete and ultrahigh‐performance concrete using soft computing techniques: A critical review
Rakesh Kumar, Baboo Rai, Pijush Samui
Structural Concrete (2024)
Closed Access | Times Cited: 16
Development of hybrid gradient boosting models for predicting the compressive strength of high-volume fly ash self-compacting concrete with silica fume
Rakesh Kumar, Shashikant Kumar, Baboo Rai, et al.
Structures (2024) Vol. 66, pp. 106850-106850
Closed Access | Times Cited: 16
Stacked-based machine learning to predict the uniaxial compressive strength of concrete materials
Abdelrahman Kamal Hamed, Mohamed Kamel Elshaarawy, Mostafa M. Alsaadawi
Computers & Structures (2025) Vol. 308, pp. 107644-107644
Closed Access | Times Cited: 2
Development of a prediction tool for the compressive strength of ternary blended ultra-high performance concrete using machine learning techniques
Rakesh Kumar, Shubhum Prakash, Baboo Rai, et al.
Journal of Structural Integrity and Maintenance (2024) Vol. 9, Iss. 3
Closed Access | Times Cited: 11
Numerical and machine learning models for concentrically and eccentrically loaded CFST columns confined with FRP wraps
Chi Xu, Ying Zhang, Haytham F. Isleem, et al.
Structural Concrete (2024)
Closed Access | Times Cited: 7
Applications of Long Short-Term Memory (LSTM) Networks in Polymeric Sciences: A Review
Ivan Malashin, В С Тынченко, Andrei Gantimurov, et al.
Polymers (2024) Vol. 16, Iss. 18, pp. 2607-2607
Open Access | Times Cited: 6
Shear behavior of fibrous concrete shallow wide beams using GFRP shear reinforcement
Abeer M. Erfan, Ali S. Shanour, Ahmed El-Romy, et al.
Structures (2025) Vol. 71, pp. 108120-108120
Closed Access
Utilization of numerical and machine learning to predict the monotonic compressive response of square double-skin tubular columns (SDSTC)
Rende Mu, Haytham F. Isleem, Ali Jahami, et al.
Structures (2025) Vol. 72, pp. 108206-108206
Closed Access
Adjacent-NET: Deep learning classification of adjacent buildings for assessing pounding effects using building facade images in earthquake-prone regions
Mehmet Ekici, Amir Yavariabdi, Gamze Doğan, et al.
Structures (2025) Vol. 73, pp. 108332-108332
Closed Access
Innovative Seismic Resilience of High-Rise Structures Featuring Composite Columns and Shear Walls on Sloping Ground
R Verma, K. K. Pathak, Virendra Pathak, et al.
Journal of The Institution of Engineers (India) Series A (2025)
Closed Access
The influence of anchored CFRP on the torsional and bending behavior of sulfate damaged RC beams
Rajai Z. Al‐Rousan, Bara’a R. Alnemrawi
Structures (2024) Vol. 70, pp. 107936-107936
Closed Access | Times Cited: 3
Compressive behavior of elliptical concrete-filled steel tubular short columns using numerical investigation and machine learning techniques
Hazem Samih Mohamed, Qiong Tang, Haytham F. Isleem, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Effect of Preload on Box-Section Steel Columns Filled with Concrete under Axial Load: A Numerical Study
Ahmed M. Sayed
Buildings (2024) Vol. 14, Iss. 9, pp. 2924-2924
Open Access | Times Cited: 1
Investigating the static, free vibration, and buckling responses of corrugated steel plate-made structures using efficient homogenization-based FE modelling
U Pandit, Goutam Mondal, Devesh Punera
Structures (2024) Vol. 70, pp. 107643-107643
Closed Access | Times Cited: 1
Numerical Study on the Axial Compression Behavior of Composite Columns with High-Strength Concrete-Filled Steel Tube and Honeycombed Steel Web Subjected to Freeze–Thaw Cycles
Jing Ji, Yihuan Xu, Liangqin Jiang, et al.
Buildings (2024) Vol. 14, Iss. 8, pp. 2401-2401
Open Access
Efficient sensitivity analysis for structural seismic fragility assessment based on surrogate models
Yexiang Yan, Ye Xia, Limin Sun
Structures (2024) Vol. 69, pp. 107299-107299
Closed Access
A machine learning enhanced characteristic length method for failure prediction of open hole tension composites
Omar A.I. Azeem, S.T. Pinho
Composites Part C Open Access (2024) Vol. 15, pp. 100524-100524
Open Access
A machine learning approach to predict demand-to-capacity ratio for reinforced concrete jacketing of columns in seismic-deficient buildings
Abhilash Singh, Subhrajit Dutta, Girish Agrawal, et al.
Journal of Building Pathology and Rehabilitation (2024) Vol. 10, Iss. 1
Closed Access
Data-driven machine learning forecasting and design models for the tensile stress-strain response of UHPC
Mohammad Sadegh Barkhordari, Hussein Abad Gazi Jaaz, Akram Jawdhari
Structures (2024) Vol. 71, pp. 107965-107965
Closed Access
Extraction and characterization of the structural, chemical, and physical properties of Phyllanthus reticulatus fibers
Faisal Ahmed, Md. Reazuddin Repon, Arnob Dhar Pranta, et al.
Next research. (2024) Vol. 2, Iss. 1, pp. 100110-100110
Closed Access
Investigating the effect of textile layers on the flexural response of Textile Reinforced Concrete (TRC) panels
Sophia Immanuel, K. Baskar
Structures (2024) Vol. 71, pp. 108112-108112
Closed Access
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