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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:

Long-term performance prediction framework based on XGBoost decision tree for pultruded FRP composites exposed to water, humidity and alkaline solution
Xing Liu, Tianqiao Liu, Peng Feng
Composite Structures (2022) Vol. 284, pp. 115184-115184
Closed Access | Times Cited: 57

Showing 26-50 of 57 citing articles:

Machine learning for screw design in single‐screw extrusion
Nickolas D. Polychronopoulos, Konstantinos Moustris, Theodoros E. Karakasidis, et al.
Polymer Engineering and Science (2025)
Open Access
Boosting algorithms for predicting the bond properties of timber and fiber reinforced polymer (FRP) under thermal cycling using single-lap shear tests
Farzad Lotfalipour, Alireza Javid, Vahab Toufigh
European Journal of Wood and Wood Products (2025) Vol. 83, Iss. 2
Closed Access
Prediction of interlaminar shear strength retention of FRP bars in marine concrete environments using XGBoost model
Xuan Zhao, Pei-Fu Zhang, Daxu Zhang, et al.
Journal of Building Engineering (2025), pp. 112466-112466
Closed Access
Assessing industrial wastewater effluent toxicity using boosting algorithms in machine learning: A case study on ecotoxicity prediction and control strategy development
Nguyen Duc Viet, Jihae Park, Hojun Lee, et al.
Environmental Pollution (2023) Vol. 341, pp. 123017-123017
Closed Access | Times Cited: 12
An illustration of model agnostic explainability methods applied to environmental data
Christopher K. Wikle, Abhirup Datta, Bhava Vyasa Hari, et al.
Environmetrics (2022) Vol. 34, Iss. 1
Open Access | Times Cited: 16
Hygrothermal aging of steel/FRP pipe repair systems: A literature review
P.S.C. Vieira, Geovane A.S. da Silva, Bruno J. Lopes, et al.
International Journal of Pressure Vessels and Piping (2023) Vol. 201, pp. 104881-104881
Closed Access | Times Cited: 10
Soft sensor for the prediction of oxygen content in boiler flue gas using neural networks and extreme gradient boosting
Eko David Kurniawan, Nazrul Effendy, Agus Arif, et al.
Neural Computing and Applications (2022) Vol. 35, Iss. 1, pp. 345-352
Closed Access | Times Cited: 15
Utilizing Multivariate Adaptive Regression Splines (MARS) for Precise Estimation of Soil Compaction Parameters
Musab Sabah Abed, Firas J. Kadhim, Jwad K. Almusawi, et al.
Applied Sciences (2023) Vol. 13, Iss. 21, pp. 11634-11634
Open Access | Times Cited: 7
Cluster energy prediction based on multiple strategy fusion whale optimization algorithm and light gradient boosting machine
Wu Wei, Mengshan Li, Wu Yan, et al.
BMC Chemistry (2024) Vol. 18, Iss. 1
Open Access | Times Cited: 2
Interpretable Machine Learning-Based Prediction Model for Concrete Cover Separation of FRP-Strengthened RC Beams
Sheng Zheng, Tianyu Hu, Yong Yu
Materials (2024) Vol. 17, Iss. 9, pp. 1957-1957
Open Access | Times Cited: 2
A machine learning prediction model for investigating vibration properties of epoxy resin under moisture conditions
Guoqiang Cai, Dehan Zhang, Jia-ao Hou, et al.
International Journal of Non-Linear Mechanics (2024) Vol. 166, pp. 104857-104857
Closed Access | Times Cited: 2
Prediction model of long-term tensile strength of glass fiber reinforced polymer bars exposed to alkaline solution based on Bayesian optimized artificial neural network
Shaoce Dong, Xu Wu, Xiao Qi, et al.
Construction and Building Materials (2023) Vol. 400, pp. 132885-132885
Closed Access | Times Cited: 5
Universal machine-learning algorithm for predicting adsorption performance of organic molecules based on limited data set: Importance of feature description
Chaoyi Huang, Wen‐Yang Gao, Yingdie Zheng, et al.
The Science of The Total Environment (2022) Vol. 859, pp. 160228-160228
Closed Access | Times Cited: 8
Implementation of Machine Learning in Predicting Pin-Bearing Strength of Aged and Nonaged Pultruded GFRP Composites
Ammar A. Alshannaq, Abdel Rahman Awawdeh
Journal of Composites for Construction (2024) Vol. 28, Iss. 3
Closed Access | Times Cited: 1
Air balancing method of multibranch ventilation systems under the condition of nonfully developed flow
Yi Wang, Ran Gao, Angui Li, et al.
Building and Environment (2022) Vol. 223, pp. 109468-109468
Closed Access | Times Cited: 7
Prediction of Tribological Properties of UHMWPE/SiC Polymer Composites Using Machine Learning Techniques
Abdul Jawad Mohammed, Anwaruddin Siddiqui Mohammed, Mohammed Abdul Samad
Polymers (2023) Vol. 15, Iss. 20, pp. 4057-4057
Open Access | Times Cited: 4
A strategy improving stiffness to resist local vibration of sandwich plates by extended Legendre higher-order model
Yushan Xiao, Wu Zhen, Xinyu Zhang, et al.
Mechanics of Advanced Materials and Structures (2023) Vol. 31, Iss. 13, pp. 2784-2801
Closed Access | Times Cited: 2
Machine Learning-Assisted Tensile Modulus Prediction for Flax Fiber/Shape Memory Epoxy Hygromorph Composites
Tarik Sadat
Applied Mechanics (2023) Vol. 4, Iss. 2, pp. 752-762
Open Access | Times Cited: 2
Fatigue fracture mechanisms and life prediction of welded S310 - S321 joints at high temperature
Zeshuai Shen, Zhiyong Huang, Jian Wang, et al.
Engineering Fracture Mechanics (2023) Vol. 295, pp. 109823-109823
Closed Access | Times Cited: 2
Enhancing emergency department patient arrival forecasting: a study using feature engineering and advanced machine learning algorithms
Bruno Matos Porto, Flávio Sanson Fogliatto
Research Square (Research Square) (2024)
Open Access
Degradation evolution and mechanism of sheet molding compound with variable composition exposed to acid solution environment
Jian Li, Chao Fu, Ruifeng Ming, et al.
Research Square (Research Square) (2024)
Open Access
State of Charge Estimation of a Lithium-Ion Battery in an Electric Vehicle Using the XGBoost Method
Elmahdi Fadlaoui, N. Masaif
Advances in Science, Technology & Innovation/Advances in science, technology & innovation (2024), pp. 91-97
Closed Access
Comparative study of statistical computational approaches to investigate the degraded compressive strength of concrete under the freeze-thaw effect
Yuanzhong Yang, Naseer Muhammad Khan, Muhammad Nasir Amin, et al.
Case Studies in Construction Materials (2024) Vol. 21, pp. e03744-e03744
Open Access
Optimized Machine Learning Model for Predicting Compressive Strength of Alkali-Activated Concrete Through Multi-Faceted Comparative Analysis
Guohua Fang, Lin Zhu, C.Y. Xie, et al.
Materials (2024) Vol. 17, Iss. 20, pp. 5086-5086
Open Access
Using Machine learning to predict chronic kidney diseases among diabetic patients in Rwanda.
Rugamba Rugero Fiacre, Silas Majyambere, Baza Noella Confiance, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access

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