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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:

A hydrological process-based neural network model for hourly runoff forecasting
Shuai Gao, Shuo Zhang, Yuefei Huang, et al.
Environmental Modelling & Software (2024) Vol. 176, pp. 106029-106029
Closed Access | Times Cited: 10

Showing 10 citing articles:

Soil and Water Assessment Tool-Based Prediction of Runoff Under Scenarios of Land Use/Land Cover and Climate Change Across Indian Agro-Climatic Zones: Implications for Sustainable Development Goals
Subbarayan Saravanan, Youssef M. Youssef, Leelambar Singh, et al.
Water (2025) Vol. 17, Iss. 3, pp. 458-458
Open Access | Times Cited: 5
DTTR: Encoding and decoding monthly runoff prediction model based on deep temporal attention convolution and multimodal fusion
Wenchuan Wang, Wei-can Tian, Xiao-xue Hu, et al.
Journal of Hydrology (2024) Vol. 643, pp. 131996-131996
Closed Access | Times Cited: 15
Research on machine learning hybrid framework by coupling grid-based runoff generation model and runoff process vectorization for flood forecasting
Chengshuai Liu, Tianning Xie, Wenzhong Li, et al.
Journal of Environmental Management (2024) Vol. 364, pp. 121466-121466
Closed Access | Times Cited: 6
Modelling of basin-scale nutrient loading variations under the synergistic influences of climate change and socioeconomic development
Chi Zhang, Di Long, Xizhi Nong, et al.
Journal of Hydrology (2025), pp. 132673-132673
Closed Access
Fine-tuning long short-term memory models for seamless transition in hydrological modelling: From pre-training to post-application
Xueying Chen, Yuhang Zhang, Aizhong Ye, et al.
Environmental Modelling & Software (2025), pp. 106350-106350
Open Access
A machine learning model integrating spatiotemporal attention and residual learning for predicting periodic air pollutant concentrations
Farun An, Dong Yang, Xiaoyue Sun, et al.
Environmental Modelling & Software (2025), pp. 106438-106438
Closed Access
Leveraging multi-source data and teleconnection indices for enhanced runoff prediction using coupled deep learning models
Jintao Li, Ping Ai, Chuansheng Xiong, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Improved random vector functional link network with an enhanced remora optimization algorithm for predicting monthly streamflow
Rana Muhammad Adnan, Reham R. Mostafa, Mo Wang, et al.
Journal of Hydrology (2024) Vol. 650, pp. 132496-132496
Closed Access | Times Cited: 2
Exploring the performance and interpretability of hybrid hydrologic model coupling physical mechanisms and deep learning
Miao He, S. S. Jiang, Liliang Ren, et al.
Journal of Hydrology (2024) Vol. 649, pp. 132440-132440
Closed Access | Times Cited: 1
Variational mode decomposition coupled LSTM with encoder-decoder framework: an efficient method for daily streamflow forecasting
Jiadong Liu, Teng Xu, Chunhui Lu, et al.
Earth Science Informatics (2024) Vol. 18, Iss. 1
Closed Access | Times Cited: 1
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