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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:

Interpretable machine learning on large samples for supporting runoff estimation in ungauged basins
Yuanhao Xu, Kairong Lin, Caihong Hu, et al.
Journal of Hydrology (2024) Vol. 639, pp. 131598-131598
Closed Access | Times Cited: 13

Showing 13 citing articles:

The decontaminant mechanism of polyamide membranes for sulfamethoxazole: The insights from combined machine learning and molecular modelling
Zihang Zhao, Dan Lu, Ming Wu, et al.
Chemical Engineering Science (2025), pp. 121293-121293
Closed Access | Times Cited: 1
Mixture of experts leveraging informer and LSTM variants for enhanced daily streamflow forecasting
Zerong Rong, Wei Sun, Yutong Xie, et al.
Journal of Hydrology (2025), pp. 132737-132737
Closed Access
Machine learning-based prediction for airflow velocity in unpressured water-conveyance tunnels
Shangtuo Qian, Xiaofeng Meng, Pengcheng Li, et al.
Physics of Fluids (2025) Vol. 37, Iss. 2
Closed Access
Spatial heterogeneity of groundwater depths in coastal cities and their responses to multiple factors interactions by interpretable machine learning models
Yuming Mo, Jing Xu, Senlin Zhu, et al.
Geoscience Frontiers (2025), pp. 102033-102033
Open Access
Blending daily satellite precipitation product and rain gauges using stacking ensemble machine learning with the consideration of spatial heterogeneity
Chuanfa Chen, Jiaoyang Hao, Shufan Yang, et al.
Journal of Hydrology (2025), pp. 133223-133223
Closed Access
Performance enhancement of deep learning model with attention mechanism and FCN model in flood forecasting
Cheng Chen, Binquan Li, Huiming Zhang, et al.
Journal of Hydrology (2025), pp. 133221-133221
Closed Access
Machine-Learning-Based Ensemble Prediction of the Snow Water Equivalent in the Upper Yalong River Basin
Jujia Zhang, Mingxiang Yang, Ningpeng Dong, et al.
Sustainability (2025) Vol. 17, Iss. 9, pp. 3779-3779
Open Access
Early warning forecasting of river ecological flow in a typical Karst basin, southwest China: Leveraging baseflow segmentation and interpretable machine learning
Chongxun Mo, Haiyang Wang, Shufeng Lai, et al.
Journal of Hydrology Regional Studies (2025) Vol. 59, pp. 102433-102433
Closed Access
Driving Forces behind the Reduction in Cropland Area on Hainan Island, China: Implications for Sustainable Agricultural Development
Jianchao Guo, Shi Qi, Jiadong Chen, et al.
Land (2024) Vol. 13, Iss. 8, pp. 1274-1274
Open Access | Times Cited: 1
Bridging the gap: An interpretable coupled model (SWAT-ELM-SHAP) for blue-green water simulation in data-scarce basins
Zhonghui Guo, Chang Feng, Yang Liu, et al.
Agricultural Water Management (2024) Vol. 306, pp. 109157-109157
Open Access | Times Cited: 1
Stream salinity prediction in data-scarce regions: Application of transfer learning and uncertainty quantification
Kasra Khodkar, Ali Mirchi, Vahid Nourani, et al.
Journal of Contaminant Hydrology (2024) Vol. 266, pp. 104418-104418
Closed Access
New perspectives on urban stormwater management in China, with a focus on extreme rainfall events
Pengjun Li, Luwen Zhuang, Kairong Lin, et al.
Natural Hazards (2024)
Closed Access
Regression-based machine learning approaches for estimating discharge from water levels in microtidal rivers
Anna Maria Mihel, Nino Krvavica, Jonatan Lerga
Journal of Hydrology (2024) Vol. 646, pp. 132276-132276
Closed Access
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