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:

Improving the accuracy of flood forecasting for Northeast China by the correction of global forecast rainfall based on deep learning
Songliang Chen, Youcan Feng, Qinglin Mao, et al.
Journal of Hydrology (2024) Vol. 640, pp. 131733-131733
Closed Access | Times Cited: 6

Showing 6 citing articles:

Enhancing the accuracy and generalizability of reference evapotranspiration forecasting in California using deep global learning
Arman Ahmadi, André Daccache, Minxue He, et al.
Journal of Hydrology Regional Studies (2025) Vol. 59, pp. 102339-102339
Closed Access

Optimized scheduling of cascade hydropower stations with advance risk control in dynamic operations
Yalin Zhang, Haizheng Wang, Guohua Fang, et al.
Journal of Hydrology (2025), pp. 133196-133196
Closed Access

Enhancing flood forecasting accuracy in Data-Scarce regions through advanced modeling approaches
Abdelmonaim Okacha, Adil Salhi, Mounir Bouchouou, et al.
Journal of Hydrology (2024) Vol. 645, pp. 132283-132283
Closed Access | Times Cited: 3

Ensemble post-processing of sub-seasonal to seasonal precipitation forecasts based on a novel probabilistic double machine learning method
Shaojie Zhan, Aizhong Ye, Lingyun Wu, et al.
Journal of Hydrology (2025), pp. 133484-133484
Closed Access

ALDII: Adaptive Learning-based Document Image Inpainting to enhance the handwritten Chinese character legibility of human and machine
Qinglin Mao, Jingjin Li, Hang Zhou, et al.
Neurocomputing (2024), pp. 128897-128897
Open Access | Times Cited: 1

Enhancing runoff predictions in data-sparse regions through hybrid deep learning and hydrologic modeling
Songliang Chen, Youcan Feng, Hongyan Li, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access

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