Open Access Helper

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:

A Comprehensive Review of Methods for Hydrological Forecasting Based on Deep Learning
Xinfeng Zhao, Hongyan Wang, Mingyu Bai, et al.
Water (2024) Vol. 16, Iss. 10, pp. 1407-1407
Open Access | Times Cited: 10

Showing 10 citing articles:

Streamflow prediction using Long Short-Term Memory networks: a case study at the Kratie Hydrological Station, Mekong River Basin
Nhu Y Nguyen, Dinh Kha Dang, Luu Van Ninh, et al.
Journal of Hydroinformatics (2025)
Open Access
Enhancing Water Level Prediction Using Ensemble Machine Learning Models: A Comparative Analysis
Saleh Alsulamy, Vijendra Kumar, Özgür Kişi, et al.
Water Resources Management (2025)
Closed Access
A Performance Comparison Study on Climate Prediction in Weifang City Using Different Deep Learning Models
Qingchun Guo, Zhenfang He, Zhaosheng Wang, et al.
Water (2024) Vol. 16, Iss. 19, pp. 2870-2870
Open Access | Times Cited: 4
History, causes, and trend of floods in the U.S.: a review
Ruth Abegaz, Fei Wang, Jun Xu
Natural Hazards (2024)
Closed Access | Times Cited: 2
Study on Motion Response Prediction of Offshore Platform Based on Multi-Sea State Samples and EMD Algorithm
Tianyu Liu, Feng Diao, Wen Yao, et al.
Water (2024) Vol. 16, Iss. 23, pp. 3441-3441
Open Access | Times Cited: 1
Sponge City Drainage System Prediction Based on Artificial Neural Networks: Taking SCRC System as Example
Yazheng Ren, Huiying Zhang, Yongwan Gu, et al.
Water (2024) Vol. 16, Iss. 18, pp. 2587-2587
Open Access
An Innovative Deep-Learning Technique for Fuel Demand Estimation in Maritime Transportation: A Step Toward Sustainable Development and Environmental Impact Mitigation
Ayman F. Alghanmi, Bassam M. Aljahdali, Hussain T. Sulaimani, et al.
Water (2024) Vol. 16, Iss. 22, pp. 3325-3325
Open Access
Real time forecasting in the coastal zone: Stream power in the lower Mississippi River
Laura Manuel, Ehab Meselhe, Kelin Hu, et al.
Journal of Hydrology Regional Studies (2024) Vol. 57, pp. 102088-102088
Open Access
Towards Accurate Flood Predictions: A Deep Learning Approach Using Wupper River Data
Yannik Hahn, Philip Kienitz, Mark Wönkhaus, et al.
Water (2024) Vol. 16, Iss. 23, pp. 3368-3368
Open Access
A Comparative Review: Biological Safety and Sustainability of Metal Nanomaterials Without and with Machine Learning Assistance
Na Xiao, Yonghui Li, Peiyan Sun, et al.
Micromachines (2024) Vol. 16, Iss. 1, pp. 15-15
Open Access
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