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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:

Forensic-based investigation-optimized extreme gradient boosting system for predicting compressive strength of ready-mixed concrete
Jui‐Sheng Chou, Liying Chen, Chi‐Yun Liu
Journal of Computational Design and Engineering (2022) Vol. 10, Iss. 1, pp. 425-445
Open Access | Times Cited: 15

Showing 15 citing articles:

Hybrid neural network-based metaheuristics for prediction of financial markets: a case study on global gold market
Mobina Mousapour Mamoudan, Ali Ostadi, Nima Pourkhodabakhsh, et al.
Journal of Computational Design and Engineering (2023) Vol. 10, Iss. 3, pp. 1110-1125
Open Access | Times Cited: 42
Simulating long-term energy consumption prediction in campus buildings through enhanced data augmentation and metaheuristic-optimized artificial intelligence
Jui‐Sheng Chou, Hoang-Minh Nguyen
Energy and Buildings (2024) Vol. 312, pp. 114191-114191
Closed Access | Times Cited: 10
Optimizing investment portfolios with a sequential ensemble of decision tree-based models and the FBI algorithm for efficient financial analysis
Jui‐Sheng Chou, Ke-En Chen
Applied Soft Computing (2024) Vol. 158, pp. 111550-111550
Closed Access | Times Cited: 9
Artificial intelligence techniques in advanced concrete technology: A comprehensive survey on 10 years research trend
Ramin Kazemi
Engineering Reports (2023) Vol. 5, Iss. 9
Open Access | Times Cited: 20
A novel ant colony-optimized extreme gradient boosting machine for estimating compressive strength of recycled aggregate concrete
Nhat‐Duc Hoang
Multiscale and Multidisciplinary Modeling Experiments and Design (2023) Vol. 7, Iss. 1, pp. 375-394
Closed Access | Times Cited: 17
Predicting Compressive Strength of High-Performance Concrete Using Hybridization of Nature-Inspired Metaheuristic and Gradient Boosting Machine
Nhat‐Duc Hoang, Van-Duc Tran, Xuan-Linh Tran
Mathematics (2024) Vol. 12, Iss. 8, pp. 1267-1267
Open Access | Times Cited: 6
Forecasting Regional Energy Consumption via Jellyfish Search-Optimized Convolutional-Based Deep Learning
Jui‐Sheng Chou, Ngoc-Quang Nguyen
International Journal of Energy Research (2023) Vol. 2023, pp. 1-25
Open Access | Times Cited: 10
Leveraging a Hybrid Machine Learning Approach for Compressive Strength Estimation of Roller-Compacted Concrete with Recycled Aggregates
Nhat‐Duc Hoang
Mathematics (2024) Vol. 12, Iss. 16, pp. 2542-2542
Open Access | Times Cited: 3
Augmented Data-Driven Approach towards 3D Printed Concrete Mix Prediction
Saif Rehman, Raja Dilawar Riaz, Muhammad Usman, et al.
Applied Sciences (2024) Vol. 14, Iss. 16, pp. 7231-7231
Open Access | Times Cited: 2
Pilgrimage walk optimization: Folk culture-inspired algorithm for identification of bridge deterioration
Jui‐Sheng Chou, Chi‐Yun Liu
Automation in Construction (2023) Vol. 155, pp. 105055-105055
Closed Access | Times Cited: 5
Estimating the compressive strength of roller compacted concrete using a novel swarm-optimised light gradient boosting machine
Nhat‐Duc Hoang
International Journal of Pavement Engineering (2023) Vol. 24, Iss. 2
Closed Access | Times Cited: 5
Metaheuristic Optimization of Extreme Gradient Boosting Machine for Enhanced Prediction of Lateral Strength of Reinforced Concrete Columns under Cyclic Loadings
Phu Anh Huy Pham, Nhat‐Duc Hoang
Results in Engineering (2024), pp. 103125-103125
Open Access | Times Cited: 1
Forensic materials and test methods
Fehim Findik
Sustainable Engineering and Innovation ISSN 2712-0562 (2024) Vol. 6, Iss. 1, pp. 103-118
Open Access
Nature-inspired optimization of weighted-feature ensemble model to predict the deflection of corroded reinforced concrete beam
Thien Ngo, Duc-Hoc Tran
Journal of Building Engineering (2024) Vol. 98, pp. 111109-111109
Closed Access
Compressive strength estimation of rice husk ash-blended high-strength concrete using diffGrad-optimized deep learning approach
Nhat‐Duc Hoang, Quoc-Lam Nguyen
Multiscale and Multidisciplinary Modeling Experiments and Design (2023) Vol. 7, Iss. 3, pp. 1953-1973
Closed Access | Times Cited: 1
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