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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:

Critical role of climate factors for groundwater potential mapping in arid regions: Insights from random forest, XGBoost, and LightGBM algorithms
Xu Guo, Xiaofan Gui, Hanxiang Xiong, et al.
Journal of Hydrology (2023) Vol. 621, pp. 129599-129599
Closed Access | Times Cited: 74

Showing 1-25 of 74 citing articles:

Short-Term Rockburst Damage Assessment in Burst-Prone Mines: An Explainable XGBOOST Hybrid Model with SCSO Algorithm
Yingui Qiu, Jian Zhou
Rock Mechanics and Rock Engineering (2023) Vol. 56, Iss. 12, pp. 8745-8770
Closed Access | Times Cited: 56
Single-Objective and Multi-Objective Flood Interval Forecasting Considering Interval Fitting Coefficients
Xinyu Chang, Jun Guo, Hui Qin, et al.
Water Resources Management (2024) Vol. 38, Iss. 10, pp. 3953-3972
Closed Access | Times Cited: 52
Interpretable predictive modelling of outlet temperatures in Central Alberta’s hydrothermal system using boosting-based ensemble learning incorporating Shapley Additive exPlanations (SHAP) approach
Ruyang Yu, Kai Zhang, Tao Li, et al.
Energy (2025), pp. 134738-134738
Closed Access | Times Cited: 2
Intrusion detection in metaverse environment internet of things systems by metaheuristics tuned two level framework
Miloš Antonijević, Miodrag Živković, Milica Djurić-Jovičić, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 2
Modelling potential land suitability of large-scale wind energy development using explainable machine learning techniques: Applications for China, USA and EU
Yanwei Sun, Ying Li, Run Wang, et al.
Energy Conversion and Management (2024) Vol. 302, pp. 118131-118131
Closed Access | Times Cited: 12
Sustainable groundwater management in coastal cities: Insights from groundwater potential and vulnerability using ensemble learning and knowledge-driven models
P. M. Huang, Mengyao Hou, Tong Sun, et al.
Journal of Cleaner Production (2024) Vol. 442, pp. 141152-141152
Closed Access | Times Cited: 11
Assessing the nonlinear relationship between consumer goods and water pollution in different seasons with machine learning models: A case study in the Yangtze River Economic Belt
Songhua Huan, Xiuli Liu
Journal of Cleaner Production (2024) Vol. 444, pp. 141254-141254
Closed Access | Times Cited: 10
A variable weight combination prediction model for climate in a greenhouse based on BiGRU-Attention and LightGBM
Xiaojuan Mao, Ni Ren, Peiyu Dai, et al.
Computers and Electronics in Agriculture (2024) Vol. 219, pp. 108818-108818
Open Access | Times Cited: 8
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
Cadmium accumulation in tropical island paddy soils: From environment and health risk assessment to model prediction
Yan Guo, Yi Yang, Ruxia Li, et al.
Journal of Hazardous Materials (2023) Vol. 465, pp. 133212-133212
Closed Access | Times Cited: 21
Designing dynamic groundwater management strategies through a composite groundwater vulnerability model: Integrating human-related parameters into the DRASTIC model using LightGBM regression and SHAP analysis
Xu Guo, Hanxiang Xiong, Haixue Li, et al.
Environmental Research (2023) Vol. 236, pp. 116871-116871
Closed Access | Times Cited: 18
Application of bagging and boosting ensemble machine learning techniques for groundwater potential mapping in a drought-prone agriculture region of eastern India
Krishnagopal Halder, Amit Kumar Srivastava, Anitabha Ghosh, et al.
Environmental Sciences Europe (2024) Vol. 36, Iss. 1
Open Access | Times Cited: 7
Comparison of Multiple Machine Learning Methods for Correcting Groundwater Levels Predicted by Physics-Based Models
Guanyin Shuai, Yan Zhou, Jingli Shao, et al.
Sustainability (2024) Vol. 16, Iss. 2, pp. 653-653
Open Access | Times Cited: 6
Application of hybrid model-based machine learning for groundwater potential prediction in the north central of Vietnam
Huu Duy Nguyen, Van Hong Nguyen, Quan Vu Viet Du, et al.
Earth Science Informatics (2024) Vol. 17, Iss. 2, pp. 1569-1589
Closed Access | Times Cited: 6
A comprehensive machine learning-based investigation for the index-value prediction of 2G HTS coated conductor tapes
Shahin Alipour Bonab, G.V. Russo, Antonio Morandi, et al.
Machine Learning Science and Technology (2024) Vol. 5, Iss. 2, pp. 025040-025040
Open Access | Times Cited: 6
Harnessing Machine Learning for Assessing Climate Change Influences on Groundwater Resources: A Comprehensive Review
Apoorva Bamal, Md Galal Uddin, Agnieszka I. Olbert
Heliyon (2024) Vol. 10, Iss. 17, pp. e37073-e37073
Open Access | Times Cited: 6
Ensemble learning for predicting average thermal extraction load of a hydrothermal geothermal field: A case study in Guanzhong Basin, China
Ruyang Yu, Kai Zhang, R. Brindha, et al.
Energy (2024) Vol. 296, pp. 131146-131146
Closed Access | Times Cited: 5
A machine learning approach to mapping suitable areas for forest vegetation in the eThekwini municipality
Mthokozisi Ndumiso Mzuzuwentokozo Buthelezi, Romano Lottering, Kabir Peerbhay, et al.
Remote Sensing Applications Society and Environment (2024) Vol. 35, pp. 101208-101208
Open Access | Times Cited: 5
Novel Ecological Suitability Evaluation Perspective for Large-Scale Wind Power Construction Zoning and Geographical Potential Prediction:An Explainable Artificial Intelligence-Based Approach
L Wang, Ruijia Zhang, Bingran Ma, et al.
(2025)
Closed Access
A Novel Approach for Production Allocation in Multi-Layer Oil Reservoirs Based on Machine Learning Combining Game Theory
Tianru Song, Weiyao Zhu, Qiang Chen, et al.
Geoenergy Science and Engineering (2025), pp. 213706-213706
Closed Access
Performance evaluation of convolutional neural network and vision transformer models for groundwater potential mapping
Behnam Sadeghi, Ali Asghar Alesheikh, Ali Jafari, et al.
Journal of Hydrology (2025), pp. 132840-132840
Closed Access
Comparative analysis of boosting algorithms for predicting personal default
Nguyen Minh Nhat, Duy Ngo
Cogent Economics & Finance (2025) Vol. 13, Iss. 1
Open Access
Non-Destructive Sweetness Classification of Khao Tang Kwa Pomelos Using Machine Learning with Acoustic and Image Processing
Tanthai Sarakum, Somboon Sukpancharoen
Journal of Food Composition and Analysis (2025) Vol. 142, pp. 107385-107385
Closed Access
Critical role of vegetation and human activity indicators in the prediction of shallow groundwater quality distribution in Jianghan Plain with LightGBM algorithm and SHAP analysis
Hanxiang Xiong, Jinghan Wang, Chi Yang, et al.
Chemosphere (2025) Vol. 376, pp. 144278-144278
Closed Access
Cultural Heritage Risk Assessment Based on Explainable Machine Learning Models: A Case Study of the Ancient Tea Horse Road in China
Hao Zhang, Bo Shu, Yang Liu, et al.
Land (2025) Vol. 14, Iss. 4, pp. 734-734
Open Access
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