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 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: 12

Showing 12 citing articles:

Sustainable foam glass property prediction using machine learning: A comprehensive comparison of predictive methods and techniques
Mohamed Abdellatief, Leong Sing Wong, Norashidah Md Din, et al.
Results in Engineering (2025), pp. 104089-104089
Open Access | Times Cited: 5

Identification of Wind Load Exerted on the Jacket Wind Turbines from Optimally Placed Strain Gauges Using C-Optimal Design and Mathematical Model Reduction
Fan Zhu, Meng Zhang, Fuxuan Ma, et al.
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 4, pp. 563-563
Open Access | Times Cited: 9

Integrating PCA and XGBoost for Predicting UACLC of Steel-Reinforced Concrete-Filled Square Steel Tubular Columns at Elevated Temperatures
Megha Gupta, Satya Prakash, Sufyan Ghani, et al.
Case Studies in Construction Materials (2025), pp. e04456-e04456
Open Access

Ensemble machine learning models for predicting concrete compressive strength incorporating various sand types
Rupesh Kumar Tipu, Shweta Bansal, Vandna Batra, et al.
Multiscale and Multidisciplinary Modeling Experiments and Design (2025) Vol. 8, Iss. 4
Closed Access

A Systematic Review on Utilizing Artificial Intelligence in Lateral Resisting Systems of Buildings
Yasir Abduljaleel, Fathoni Usman, Agusril Syamsir, et al.
Archives of Computational Methods in Engineering (2025)
Closed Access

ANN‐based analysis of the effect of SCM on recycled aggregate concrete
Carlos H. Mosquera, Melissa P. Acosta, William A. Rodríguez, et al.
Structural Concrete (2024)
Closed Access | Times Cited: 3

Predictive modeling of shear strength in fiber-reinforced cementitious matrix-strengthened RC beams using machine learning
Rupesh Kumar Tipu, Vandna Batra, Suman Suman
Asian Journal of Civil Engineering (2024) Vol. 25, Iss. 4, pp. 3251-3261
Closed Access | Times Cited: 2

Concrete aging factor prediction using machine learning
Woubishet Zewdu Taffese, Gustavo Bosel Wally, Fábio Costa Magalhães, et al.
Materials Today Communications (2024) Vol. 40, pp. 109527-109527
Open Access | Times Cited: 2

Short-Term Traffic Flow Forecasting Based on a Novel Combined Model
Lu Liu, Caihong Li, Yi Yang, et al.
Sustainability (2024) Vol. 16, Iss. 23, pp. 10216-10216
Open 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

Evaluation and prediction of fracture energy of fiber reinforced geopolymer concrete
Ngoc Thanh Tran, Quang Thanh Tran, Huy Viet Le, et al.
European Journal of Environmental and Civil engineering (2024), pp. 1-23
Closed Access

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