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:

Enhancing Sustainability of Corroded RC Structures: Estimating Steel-to-Concrete Bond Strength with ANN and SVM Algorithms
Rohan Singh, Harish Chandra Arora, Alireza Bahrami, et al.
Materials (2022) Vol. 15, Iss. 23, pp. 8295-8295
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Effects of eccentric loading on performance of concrete columns reinforced with glass fiber-reinforced polymer bars
Nasim Shakouri Mahmoudabadi, Alireza Bahrami, Saba Saghir, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 16

Machine learning intelligence to assess the shear capacity of corroded reinforced concrete beams
Aman Kumar, Harish Chandra Arora, Nishant Raj Kapoor, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 23

Enhanced Drug Delivery System Using Mesenchymal Stem Cells and Membrane-Coated Nanoparticles
Shubham Joshi, Sarah Allabun, Stephen Ojo, et al.
Molecules (2023) Vol. 28, Iss. 5, pp. 2130-2130
Open Access | Times Cited: 20

Corrosion effect on bond behavior between rebar and concrete using Bayesian regularized feed-forward neural network
Thanh-Hung Nguyen, Tan Nguyen, Tam T. Truong, et al.
Structures (2023) Vol. 51, pp. 1525-1538
Closed Access | Times Cited: 17

Development of a Reliable Machine Learning Model to Predict Compressive Strength of FRP-Confined Concrete Cylinders
Prashant Kumar, Harish Chandra Arora, Alireza Bahrami, et al.
Buildings (2023) Vol. 13, Iss. 4, pp. 931-931
Open Access | Times Cited: 17

Interpretable Machine Learning Method for Compressive Strength Prediction and Analysis of Pure Fly Ash-based Geopolymer Concrete
Shi Yuqiong, Jingyi Li, Yang Zhang, et al.
Journal of Wuhan University of Technology-Mater Sci Ed (2025) Vol. 40, Iss. 1, pp. 65-78
Closed Access

Estimation of Residual Flexural Capacity of Corroded Reinforced Concrete Beams through Algorithmic Learning
Rubeen Kumar, Harish Chandra Arora, Aman Kumar, et al.
Journal of structural design and construction practice. (2025) Vol. 30, Iss. 3
Closed Access

Data-Driven Exhaust Gas Temperature Baseline Predictions for Aeroengine Based on Machine Learning Algorithms
Zepeng Wang, Yongjun Zhao
Aerospace (2022) Vol. 10, Iss. 1, pp. 17-17
Open Access | Times Cited: 17

An ensemble model of explainable soft computing for failure mode identification in reinforced concrete shear walls
Yingui Qiu, Chuanqi Li, Shuai Huang, et al.
Journal of Building Engineering (2023) Vol. 82, pp. 108386-108386
Closed Access | Times Cited: 9

A study on improving energy flexibility in building engineering through generalized prediction models: Enhancing local bearing capacity of concrete for engineering structures
HuaDong Li, Jie Zeng, Ahmad Almadhor, et al.
Engineering Structures (2024) Vol. 303, pp. 117051-117051
Closed Access | Times Cited: 3

Event-Specific Transmission Forecasting of SARS-CoV-2 in a Mixed-Mode Ventilated Office Room Using an ANN
Nishant Raj Kapoor, Ashok Kumar, Anuj Kumar, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 24, pp. 16862-16862
Open Access | Times Cited: 15

Exhaust Gas Temperature Prediction of Aero-Engine via Enhanced Scale-Aware Efficient Transformer
Sijie Liu, Nan Zhou, Chenchen Song, et al.
Aerospace (2024) Vol. 11, Iss. 2, pp. 138-138
Open Access | Times Cited: 2

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: 2

Predicting bond strength of corroded reinforced concrete after high-temperature exposure: A stacking model and feature selection
Peng Ge, Ou Yang, Xugang Hua, et al.
Construction and Building Materials (2024) Vol. 456, pp. 139290-139290
Closed Access | Times Cited: 2

Development of Efficient Prediction Model of FRP-to-Concrete Bond Strength Using Curve Fitting and ANFIS Methods
Aman Kumar, Harish Chandra Arora, Krishna Kumar, et al.
Arabian Journal for Science and Engineering (2023) Vol. 49, Iss. 4, pp. 5129-5158
Closed Access | Times Cited: 3

A Machine Learning Based Model to Assess Flexural Strength of Corroded Reinforced Concrete Beams
Arjun Sharma, Somain Sharma, Kuldeep Kumar
Lecture notes in civil engineering (2023), pp. 965-978
Closed Access | Times Cited: 2

Assessment of shear capacity of a FRP-reinforced concrete beam without stirrup
Prashant Kumar, Harish Chandra Arora, Aman Kumar
Elsevier eBooks (2024), pp. 341-365
Closed Access

Forecasting the compressive strength of FRCM-strengthened RC columns with machine learning algorithms
Prashant Kumar, Harish Chandra Arora, Aman Kumar
Elsevier eBooks (2024), pp. 317-340
Closed Access

Study the effect of ANN splitting ratios and training functions on the prediction of corroded steel-to-concrete bond strength
Bharat Bhushan, Harish Chandra Arora, Aman Kumar, et al.
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 7, Iss. 4, pp. 4203-4228
Closed Access

Prediction of Axial Capacity of RC Columns Reinforced with Ferro-cement Jacketing: A Data-driven Machine Learning Strategy
Nishant Nishant, Harish Chandra Arora, Aman Kumar, et al.
KSCE Journal of Civil Engineering (2024) Vol. 28, Iss. 9, pp. 3835-3844
Closed Access

Estimation of Bond Strength based on Corroded Hinge Beam Specimens: Assessment of Design Guidelines and Analytical Models
Bharat Bhushan, Harish Chandra Arora, Aman Kumar, et al.
Periodica Polytechnica Civil Engineering (2024) Vol. 68, Iss. 4
Open Access

Estimation of confined compressive strength of LRS‐FRP concrete specimens with computational intelligence
Sleek Chang, Harish Chandra Arora, Aman Kumar, et al.
ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik (2024) Vol. 104, Iss. 10
Open Access

Prediction of confined compressive strength of concrete column strengthened with FRCM composites
Prashant Kumar, Harish Chandra Arora, R. Siva Chidambaram, et al.
Structural Concrete (2024)
Closed Access

Data-driven framework with graphical user interface for predicting flexural behavior of FRCM strengthened RC beams
Aman Kumar, Harish Chandra Arora, Moncef L. Nehdi
Structures (2024) Vol. 71, pp. 107917-107917
Open Access

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