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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.

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Showing 1-25 of 68 citing articles:

Flood susceptibility mapping using machine learning boosting algorithms techniques in Idukki district of Kerala India
Subbarayan Saravanan, Devanantham Abijith, Nagireddy Masthan Reddy, et al.
Urban Climate (2023) Vol. 49, pp. 101503-101503
Closed Access | Times Cited: 58
A systematic review and meta-analysis of artificial neural network, machine learning, deep learning, and ensemble learning approaches in field of geotechnical engineering
Elaheh Yaghoubi, Elnaz Yaghoubi, Ahmed A. Khamees, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 21, pp. 12655-12699
Open Access | Times Cited: 20
Data-driven PSO-CatBoost machine learning model to predict the compressive strength of CFRP- confined circular concrete specimens
Nima Khodadadi, Hossein Roghani, Francisco De Caso, et al.
Thin-Walled Structures (2024) Vol. 198, pp. 111763-111763
Closed Access | Times Cited: 19
Enhancing the performance of gradient boosting trees on regression problems
Lydia Wahid Rizkallah
Journal Of Big Data (2025) Vol. 12, Iss. 1
Open Access | Times Cited: 2
Prediction model of goaf coal temperature based on PSO-GRU deep neural network
Jun Guo, Changming Chen, Hu Wen, et al.
Case Studies in Thermal Engineering (2023) Vol. 53, pp. 103813-103813
Open Access | Times Cited: 24
Research on hybrid strategy Particle Swarm Optimization algorithm and its applications
Jicheng Yao, Xiaonan Luo, Fang Li, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 12
Residual stress prediction in laser shock peening induced LD-TC4 alloy by data-driven ensemble learning methods
Butong Li, Junjie Zhu, Xufeng Zhao, et al.
Optics & Laser Technology (2024) Vol. 176, pp. 110946-110946
Closed Access | Times Cited: 9
A novel tool for probabilistic modeling of liquefaction behavior in alluvial soil
Sufyan Ghani, Sunita Kumari
Georisk Assessment and Management of Risk for Engineered Systems and Geohazards (2024), pp. 1-24
Closed Access | Times Cited: 9
Prediction method for the dynamic response of expressway lateritic soil subgrades on the basis of Bayesian optimization CatBoost
Xuanjia Huang, Weizheng Liu, Qing Guo, et al.
Soil Dynamics and Earthquake Engineering (2024) Vol. 186, pp. 108943-108943
Closed Access | Times Cited: 9
Predicting the UCS of Polyhydroxyalkanoate and Xanthan gum Treated Sandy Soil Using Gradient Boosting Algorithms
Syed Taseer Abbas Jaffar, Mudassir Iqbal, Xiaohua Bao, et al.
Journal of Cleaner Production (2025), pp. 144672-144672
Closed Access | Times Cited: 1
Using Crafted Features and Polar Bear Optimization Algorithm for Short-Term Electric Load Forecast System
Mansi Bhatnagar, Gregor Rozinaj, Radoslav Vargic
Energy and AI (2025), pp. 100470-100470
Open Access | Times Cited: 1
Machine Learning-Based Detection of Icebergs in Sea Ice and Open Water Using SAR Imagery
Zahra Jafari, Pradeep Bobby, Ebrahim Karami, et al.
Remote Sensing (2025) Vol. 17, Iss. 4, pp. 702-702
Open Access | Times Cited: 1
A Hybrid Gradient Boosting Model for Predicting Longitudinal Dispersion Coefficient in Natural Rivers
Yangyu Deng, Yakun Liu, Di Zhang, et al.
Water Resources Management (2025)
Closed Access | Times Cited: 1
Hybrid catboost models optimized with metaheuristics for predicting shear strength in rock joints
Xiaohua Ding, Mahdi Hasanipanah, Mohammad Matin Rouhani, et al.
Bulletin of Engineering Geology and the Environment (2025) Vol. 84, Iss. 3
Closed Access | Times Cited: 1
Estimation and interpretation of equilibrium scour depth around circular bridge piers by using optimized XGBoost and SHAP
Nasrin Eini, Sayed M. Bateni, Changhyun Jun, et al.
Engineering Applications of Computational Fluid Mechanics (2023) Vol. 17, Iss. 1
Open Access | Times Cited: 20
An evolutionary hybrid method based on particle swarm optimization algorithm and extreme gradient boosting for short-term streamflow forecasting
Hüseyin Çağan Kılınç, Bülent Haznedar, Furkan Ozkan, et al.
Acta Geophysica (2024) Vol. 72, Iss. 5, pp. 3661-3681
Closed Access | Times Cited: 8
Advanced tree-based machine learning methods for predicting the seismic response of regular and irregular RC frames
Ahmet Demir, Emrehan Kutluğ Şahin, Selçuk Demir
Structures (2024) Vol. 64, pp. 106524-106524
Closed Access | Times Cited: 8
Discharge estimation in compound channels with converging and diverging floodplains using an optimised Gradient Boosting Algorithm
Shashank Shekhar Sandilya, Bhabani Shankar Das, Sébastien Proust, et al.
Journal of Hydroinformatics (2024) Vol. 26, Iss. 5, pp. 1122-1149
Open Access | Times Cited: 7
The effectiveness of data pre-processing methods on the performance of machine learning techniques using RF, SVR, Cubist and SGB: a study on undrained shear strength prediction
Selçuk Demir, Emrehan Kutluğ Şahin
Stochastic Environmental Research and Risk Assessment (2024) Vol. 38, Iss. 8, pp. 3273-3290
Open Access | Times Cited: 4
Predicting anion diffusion in bentonite using hybrid machine learning model and correlation of physical quantities
Tao Wu, Junlei Tian, Xiaoqiong Shi, et al.
The Science of The Total Environment (2024) Vol. 946, pp. 174363-174363
Closed Access | Times Cited: 4
Application of Nighttime Light Data Simulation Based on Multi-Indicator System and Machine Learning Model in Predicting Potentially Suitable Economic Development Areas: A Case Study of the Turpan–Hami Region
Guangpeng Zhang, Li Zhang, Yiyang Chen, et al.
Remote Sensing (2025) Vol. 17, Iss. 2, pp. 240-240
Open Access
Low voltage user power internet of things monitoring system based on LoRa wireless technology
Xiaohua Wang, Wei Zhao, Xixian Niu
Energy Informatics (2025) Vol. 8, Iss. 1
Open Access
Data-driven probabilistic seismic demand prediction and sustainability optimization of stone columns for liquefaction mitigation in regional mildly sloping ground
Zhijian Qiu, Jianhua Zhu, Ahmed Ebeido, et al.
Computers and Geotechnics (2025) Vol. 181, pp. 107125-107125
Closed Access
Rock Slope Stability Prediction: A Review of Machine Learning Techniques
Arifuggaman Arif, Chunlei Zhang, Mahabub Hasan Sajib, et al.
Geotechnical and Geological Engineering (2025) Vol. 43, Iss. 3
Closed Access
Semi-supervised ensemble model for TBM rock mass classification
Shaoxiang Zeng, Yuanqin Tao, Honglei Sun, et al.
Tunnelling and Underground Space Technology (2025) Vol. 162, pp. 106632-106632
Closed Access
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