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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:

Fully distributed rainfall-runoff modeling using spatial-temporal graph neural network
Zhongrun Xiang, İbrahim Demir
EarthArXiv (California Digital Library) (2022)
Open Access | Times Cited: 11

Showing 11 citing articles:

Real-time rainfall and runoff prediction by integrating BC-MODWT and automatically-tuned DNNs: Comparing different deep learning models
Amirmasoud Amini, Mehri Dolatshahi, Reza Kerachian
Journal of Hydrology (2024) Vol. 631, pp. 130804-130804
Closed Access | Times Cited: 14
Enhancing hydrological modeling with transformers: a case study for 24-h streamflow prediction
Bekir Zahit Demiray, Muhammed Sit, Omer Mermer, et al.
Water Science & Technology (2024) Vol. 89, Iss. 9, pp. 2326-2341
Open Access | Times Cited: 4
Spatio-Temporal Graph Neural Networks for Streamflow Prediction in the Upper Colorado Basin
Akhila Akkala, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi, et al.
Hydrology (2025) Vol. 12, Iss. 3, pp. 60-60
Open Access
Runoff Prediction Based on Dynamic Spatiotemporal Graph Neural Network
Shuai Yang, Yueqin Zhang, Zehua Zhang
Water (2023) Vol. 15, Iss. 13, pp. 2463-2463
Open Access | Times Cited: 7
A Systematic Review of Deep Learning Applications in Streamflow Data Augmentation and Forecasting
Muhammed Sit, Bekir Zahit Demiray, İbrahim Demir
EarthArXiv (California Digital Library) (2022)
Open Access | Times Cited: 9
Real-Time Streamflow Forecasting Framework, Implementation and Post-Analysis Using Deep Learning
Zhongrun Xiang, İbrahim Demir
EarthArXiv (California Digital Library) (2022)
Open Access | Times Cited: 7
TempNet – Temporal Super Resolution of Radar Rainfall Products with Residual CNNs
Muhammed Sit, Bong‐Chul Seo, İbrahim Demir
EarthArXiv (California Digital Library) (2022)
Open Access | Times Cited: 5
Probabilistic multi-step ahead streamflow forecast based on deep learning
Divas Karimanzira, Lucas Richter, Désirée Hilbring, et al.
at - Automatisierungstechnik (2024) Vol. 72, Iss. 6, pp. 518-527
Closed Access
Spatio-temporal Causal Learning for Streamflow Forecasting
Shu Wan, Reepal Shah, Qi Deng, et al.
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 6161-6170
Closed Access
Deep Temporal Neural Networks for Water Level Predictions of Watershed Systems
Jordan Huff, Jeremy Watts, Anahita Khojandi, et al.
(2023), pp. 108-113
Closed Access | Times Cited: 1
Enhancing Hydrological Modeling with Transformers: A Case Study for 24-Hour Streamflow Prediction
Bekir Zahit Demiray, Muhammed Sit, Omer Mermer, et al.
EarthArXiv (California Digital Library) (2023)
Open Access
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