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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:

Applications of XGBoost in water resources engineering: A systematic literature review (Dec 2018–May 2023)
Majid Niazkar, Andrea Menapace, Bruno Brentan, et al.
Environmental Modelling & Software (2024) Vol. 174, pp. 105971-105971
Closed Access | Times Cited: 68

Showing 1-25 of 68 citing articles:

Mapping groundwater potential zone by robust machine learning algorithm & remote sing techniques in agriculture dominated area, Bangladesh.
M. M. Shah Porun Rana, Muhammad Tauhidur Rahman, Md. Fuad Hassan
Cleaner Water (2025), pp. 100064-100064
Open Access | Times Cited: 2
Improving flood hazard susceptibility assessment by integrating hydrodynamic modeling with remote sensing and ensemble machine learning
Izhar Ahmad, Rashid Farooq, Muhammad Ashraf, et al.
Natural Hazards (2025)
Open Access | Times Cited: 1
Prediction of Winter Wheat Parameters with Planet SuperDove Imagery and Explainable Artificial Intelligence
Gabriele De Carolis, Vincenzo Giannico, Leonardo Costanza, et al.
Agronomy (2025) Vol. 15, Iss. 1, pp. 241-241
Open Access | Times Cited: 1
Evaluating empirical and machine learning approaches for reference evapotranspiration estimation using limited climatic variables in Nepal
Erica Shrestha, Suyog Poudyal, Anup Ghimire, et al.
Results in Engineering (2025), pp. 104254-104254
Open Access | Times Cited: 1
A novel hybrid modeling approach based on empirical methods, PSO, XGBoost, and multiple GCMs for forecasting long-term reference evapotranspiration in a data scarce-area
Ali El Bilali, Abdessamad Hadri, Abdeslam Taleb, et al.
Computers and Electronics in Agriculture (2025) Vol. 232, pp. 110106-110106
Closed Access | Times Cited: 1
Applications of Long Short-Term Memory (LSTM) Networks in Polymeric Sciences: A Review
Ivan Malashin, В С Тынченко, Andrei Gantimurov, et al.
Polymers (2024) Vol. 16, Iss. 18, pp. 2607-2607
Open Access | Times Cited: 7
Searches for the BSM scenarios at the LHC using decision tree-based machine learning algorithms: a comparative study and review of random forest, AdaBoost, XGBoost and LightGBM frameworks
Arghya Choudhury, Arpita Mondal, Subhadeep Sarkar
The European Physical Journal Special Topics (2024)
Closed Access | Times Cited: 7
Predicting Cd accumulation in crops and identifying nonlinear effects of multiple environmental factors based on machine learning models
Xiaosong Lu, Li Sun, Ya Zhang, et al.
The Science of The Total Environment (2024) Vol. 951, pp. 175787-175787
Closed Access | Times Cited: 6
Hybrid deep learning based prediction for water quality of plain watershed
K. H. Wang, Lei Liu, Xuechen Ben, et al.
Environmental Research (2024) Vol. 262, pp. 119911-119911
Closed Access | Times Cited: 4
Explainable Artificial Intelligence for Reliable Water Demand Forecasting to Increase Trust in Predictions
Claudia Maußner, Martin Oberascher, Arnold Autengruber, et al.
Water Research (2024) Vol. 268, pp. 122779-122779
Closed Access | Times Cited: 4
Prediction of active length of pipes and tunnels under normal faulting with XGBoost integrating a complexity-performance balanced optimization approach
Tianjian Cheng, Chaofan Yao, Jingnan Duan, et al.
Computers and Geotechnics (2025) Vol. 179, pp. 107048-107048
Closed Access
Modeling soil respiration in summer maize cropland based on hyperspectral imagery and machine learning
Fanchao Zeng, Jinwei Sun, Huihui Zhang, et al.
Frontiers in Environmental Science (2025) Vol. 12
Open Access
A Novel Machine Learning Approach for Spatiotemporal Prediction of EMS Events: A Case Study from Barranquilla, Colombia
Dionicio Neira‐Rodado, Juan Camilo Paz-Roa, John Willmer Escobar, et al.
Heliyon (2025) Vol. 11, Iss. 2, pp. e41904-e41904
Open Access
Interpretable data-driven chemometric approach for predicting non-optically active water quality parameters using ultraviolet-visible-near infrared absorption spectroscopy and physical-chemical measurements
Yubo Zhao, Zhou Zhang, Bingliang Hu, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2025) Vol. 331, pp. 125768-125768
Closed Access
Advancing bankruptcy prediction: a study on an improved rime optimization algorithm and its application in feature selection
Y. Y. Ji, Chenglang Lu, Lei Liu, et al.
International Journal of Machine Learning and Cybernetics (2025)
Closed Access
Isolating the contribution of land cover change to concurrent soil drought and atmospheric aridity events in Loess Plateau, China
Shulin Zhang, Weiguang Wang, Haijiang Wu, et al.
CATENA (2025) Vol. 250, pp. 108740-108740
Closed Access
Using deep learning model integration to build a smart railway traffic safety monitoring system
Cheng Chang, Kai-Hsiang Huang, Tsz-Kin Lau, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Forecasting the River Ice Break-Up Date in the Upper Reaches of the Heilongjiang River Based on Machine Learning
Zhi Liu, Hongwei Han, Yu Li, et al.
Water (2025) Vol. 17, Iss. 3, pp. 434-434
Open Access
Machine Learning-Based Reconstruction and Prediction of Groundwater Time Series in the Allertal, Germany
Tuong Vi Tran, Aaron Peche, Robert Kringel, et al.
Water (2025) Vol. 17, Iss. 3, pp. 433-433
Open Access
An efficient catalyst screening strategy combining machine learning and causal inference
Chenyu Song, Yintao Shi, Li Meng, et al.
Journal of Environmental Management (2025) Vol. 377, pp. 124665-124665
Closed Access
An optimized machine learning framework for predicting and interpreting corporate ESG greenwashing behavior
Fanlong Zeng, Jintao Wang, Chaoyan Zeng
PLoS ONE (2025) Vol. 20, Iss. 3, pp. e0316287-e0316287
Open Access
Comparison of Machine Learning Models for Real-Time Flow Forecasting in the Semi-Arid Bouregreg Basin
Fatima Zehrae Elhallaoui Oueldkaddour, Fatima Wariaghli, Hassane Brırhet, et al.
Limnological Review (2025) Vol. 25, Iss. 1, pp. 6-6
Open Access
Predicting the anticancer activity of indole derivatives: A novel GP-tree-based QSAR model optimized by ALO with insights from molecular docking and decision-making methods
Mohamed Kouider Amar, Hamza Moussa, Mohamed Hentabli
Computers in Biology and Medicine (2025) Vol. 189, pp. 109988-109988
Closed Access
“A Data-driven prediction of residual carbon dioxide under different porous media structures”
Eric Richard Shanghvi, Qingbang Meng, Elieneza Nicodemus Abelly, et al.
Gas Science and Engineering (2025), pp. 205602-205602
Closed Access
Leaf area index (LAI) prediction using machine learning and UAV based vegetation indices
Saddam Hussain, Fitsum T. Teshome, Boaz B. Tulu, et al.
European Journal of Agronomy (2025) Vol. 168, pp. 127557-127557
Closed Access
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