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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:

Enhancing prediction accuracy of workability and compressive strength of high-performance concrete through extended dataset and improved machine learning models
Rupesh Kumar Tipu, Suman Suman, Vandna Batra
Asian Journal of Civil Engineering (2023) Vol. 25, Iss. 1, pp. 197-218
Closed Access | Times Cited: 18

Showing 18 citing articles:

Efficient compressive strength prediction of concrete incorporating recycled coarse aggregate using Newton’s boosted backpropagation neural network (NB-BPNN)
Rupesh Kumar Tipu, Vandna Batra, Suman Suman, et al.
Structures (2023) Vol. 58, pp. 105559-105559
Closed Access | Times Cited: 23
A novel data-driven machine learning techniques to predict compressive strength of fly ash and recycled coarse aggregates based self-compacting concrete
Surbhi Gupta Aggarwal, Rajwinder Singh, Ayush Rathore, et al.
Materials Today Communications (2024) Vol. 39, pp. 109294-109294
Closed Access | Times Cited: 10
Shear capacity prediction for FRCM-strengthened RC beams using Hybrid ReLU-Activated BPNN model
Rupesh Kumar Tipu, Vandna Batra, Suman Suman, et al.
Structures (2023) Vol. 58, pp. 105432-105432
Closed Access | Times Cited: 17
Applications of computational intelligence for predictive modeling of properties of blended cement sustainable concrete incorporating various industrial byproducts towards sustainable construction
N P Mungle, Dnyaneshwar M. Mate, Sham H. Mankar, et al.
Asian Journal of Civil Engineering (2024)
Closed Access | Times Cited: 6
Predicting compressive strength of concrete with iron waste: a BPNN approach
Rupesh Kumar Tipu, Vandna Batra, Suman Suman, et al.
Asian Journal of Civil Engineering (2024) Vol. 25, Iss. 7, pp. 5571-5579
Closed Access | Times Cited: 5
Prognosis of flow of fly ash and blast furnace slag-based concrete: leveraging advanced machine learning algorithms
Rahul Kumar, Ayush Rathore, Rajwinder Singh, et al.
Asian Journal of Civil Engineering (2023) Vol. 25, Iss. 3, pp. 2483-2497
Closed Access | Times Cited: 12
Enhancing load capacity prediction of column using eReLU-activated BPNN model
Rupesh Kumar Tipu, Vandna Batra, Suman Suman, et al.
Structures (2023) Vol. 58, pp. 105600-105600
Closed Access | Times Cited: 11
Investigation of the Gaussian Process with Various Kernel Functions for the Prediction of the Compressive Strength of Concrete
Hoang Ha, Hieu Vu Trong, Thi Thanh Huyen, et al.
Engineering Technology & Applied Science Research (2025) Vol. 15, Iss. 1, pp. 19992-19997
Open Access
Influence of machine learning approaches for partial replacement of cement content through waste in construction sector
Kaushal Kumar, Rishabh Arora, Rupesh Kumar Tipu, et al.
Asian Journal of Civil Engineering (2024) Vol. 25, Iss. 4, pp. 3201-3213
Closed Access | Times Cited: 1
Comparative analysis of the influence of partial replacement of cement with supplementing cementitious materials in sustainable concrete using machine learning approach
Rishabh Arora, Kaushal Kumar, Saurav Dixit
Asian Journal of Civil Engineering (2023) Vol. 25, Iss. 2, pp. 1517-1530
Closed Access | Times Cited: 3
A case study evolving quality management in Indian civil engineering projects using AI techniques: a framework for automation and enhancement
Kaushal Kumar, Saurav Dixit, Umank Mishra, et al.
Asian Journal of Civil Engineering (2024) Vol. 25, Iss. 5, pp. 4041-4051
Closed Access
Data-Driven Concrete Quality Optimization in Industry 4.0: Predictive Compressive Strength Modeling Through Machine Learning and Ensemble Approaches
J. Judeson Antony Kovilpillai, Sulaiman Syed Mohamed, Pragya, et al.
(2024), pp. 1-7
Closed Access
Exploring Antibiotic Resistance Through Artificial Intelligence: A Novel Perspective
D Kalyani, Rompicharla Narasimha Sai, K Somasekhar Reddy, et al.
UTTAR PRADESH JOURNAL OF ZOOLOGY (2024) Vol. 45, Iss. 11, pp. 203-217
Open Access
A Machine Learning Approach on Outlier Removal for Decision Tree Regression Method
Agus Sihabuddin, Nur Rokhman, Erwin Eko Wahyudi
Ingénierie des systèmes d information (2024) Vol. 29, Iss. 4, pp. 1397-1403
Open Access
Autonomous road hazard detection and avoidance system using deep reinforcement learning for intelligent vehicles
S Swathi, Saranya Vinayagam, J. S. Sujin, et al.
E-Learning and Digital Media (2024)
Closed Access
Innovative high-technology concrete mix design method integrating rheological properties and Fracture Mechanics
Ángel De La Rosa, Gonzalo Ruiz, Vaibhav W. Masih, et al.
Construction and Building Materials (2024) Vol. 458, pp. 139538-139538
Closed Access
Comparative Analysis of Machine Learning Techniques for Concrete Compressive Strength Prediction
Fuad Musleh, Ranyah Taha, Abdel Rahman Musleh
(2023), pp. 146-151
Closed Access | Times Cited: 1
Comparative analysis of the influence of partial replacement of cement with supplementing cementitious materials in sustainable concrete by using machine learning approach
Rishabh Arora, Kaushal Kumar, Saurav Dixit
Research Square (Research Square) (2023)
Open Access
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