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 Subseasonal-to-Seasonal forecasts in predicting the occurrence of extreme precipitation events over the contiguous U.S. using machine learning models
Lujun Zhang, Tiantian Yang, Shang Gao, et al.
Atmospheric Research (2022) Vol. 281, pp. 106502-106502
Open Access | Times Cited: 13
Lujun Zhang, Tiantian Yang, Shang Gao, et al.
Atmospheric Research (2022) Vol. 281, pp. 106502-106502
Open Access | Times Cited: 13
Showing 13 citing articles:
Artificial intelligence for climate prediction of extremes: State of the art, challenges, and future perspectives
Stefano Materia, Lluís Palma García, Chiem van Straaten, et al.
Wiley Interdisciplinary Reviews Climate Change (2024)
Open Access | Times Cited: 15
Stefano Materia, Lluís Palma García, Chiem van Straaten, et al.
Wiley Interdisciplinary Reviews Climate Change (2024)
Open Access | Times Cited: 15
Improving Subseasonal‐To‐Seasonal Prediction of Summer Extreme Precipitation Over Southern China Based on a Deep Learning Method
Yang Lyu, Shoupeng Zhu, Xiefei Zhi, et al.
Geophysical Research Letters (2023) Vol. 50, Iss. 24
Open Access | Times Cited: 17
Yang Lyu, Shoupeng Zhu, Xiefei Zhi, et al.
Geophysical Research Letters (2023) Vol. 50, Iss. 24
Open Access | Times Cited: 17
Adapting subseasonal-to-seasonal (S2S) precipitation forecast at watersheds for hydrologic ensemble streamflow forecasting with a machine learning-based post-processing approach
Lujun Zhang, Shang Gao, Tiantian Yang
Journal of Hydrology (2024) Vol. 631, pp. 130643-130643
Closed Access | Times Cited: 6
Lujun Zhang, Shang Gao, Tiantian Yang
Journal of Hydrology (2024) Vol. 631, pp. 130643-130643
Closed Access | Times Cited: 6
Enhancing NWP-Based Reference Evapotranspiration Forecasts: Role of ETo Approaches and Temperature Postprocessing
Sakila Saminathan, Subhasis Mitra
Journal of Hydrologic Engineering (2025) Vol. 30, Iss. 2
Closed Access
Sakila Saminathan, Subhasis Mitra
Journal of Hydrologic Engineering (2025) Vol. 30, Iss. 2
Closed Access
Investigating the streamflow simulation capability of a new mass-conserving long short-term memory (MC-LSTM) model across the contiguous United States
Y Wang, Lujun Zhang, N. Benjamin Erichson, et al.
Journal of Hydrology (2025), pp. 133161-133161
Closed Access
Y Wang, Lujun Zhang, N. Benjamin Erichson, et al.
Journal of Hydrology (2025), pp. 133161-133161
Closed Access
Sub-seasonal prediction of compound hot and dry extremes in India
Iqura Malik, Vimal Mishra
Climate Dynamics (2025) Vol. 63, Iss. 4
Closed Access
Iqura Malik, Vimal Mishra
Climate Dynamics (2025) Vol. 63, Iss. 4
Closed Access
Significant advancement in Subseasonal-to-Seasonal summer precipitation ensemble forecast skills in China mainland through an innovative hybrid CSG-UNET method
Yang Lyu, Shoupeng Zhu, Xiefei Zhi, et al.
Environmental Research Letters (2024) Vol. 19, Iss. 7, pp. 074055-074055
Open Access | Times Cited: 2
Yang Lyu, Shoupeng Zhu, Xiefei Zhi, et al.
Environmental Research Letters (2024) Vol. 19, Iss. 7, pp. 074055-074055
Open Access | Times Cited: 2
Evaluation of subseasonal precipitation forecasts in the Uruguay River basin
Juan Badagian, Marcelo Barreiro, Ramiro I. Saurral
International Journal of Climatology (2024) Vol. 44, Iss. 14, pp. 5233-5247
Closed Access | Times Cited: 2
Juan Badagian, Marcelo Barreiro, Ramiro I. Saurral
International Journal of Climatology (2024) Vol. 44, Iss. 14, pp. 5233-5247
Closed Access | Times Cited: 2
Water–Energy–Food Security Nexus—Estimating Future Water Demand Scenarios Based on Nexus Thinking: The Watershed as a Territory
Icaro Yuri Pereira Dias, Lira Luz Benites Lázaro, Virgínia Grace Barros
Sustainability (2023) Vol. 15, Iss. 9, pp. 7050-7050
Open Access | Times Cited: 6
Icaro Yuri Pereira Dias, Lira Luz Benites Lázaro, Virgínia Grace Barros
Sustainability (2023) Vol. 15, Iss. 9, pp. 7050-7050
Open Access | Times Cited: 6
Seasonal forecast of winter precipitation over China using machine learning models
Qifeng Qian, Xiaojing Jia
Atmospheric Research (2023) Vol. 294, pp. 106961-106961
Closed Access | Times Cited: 5
Qifeng Qian, Xiaojing Jia
Atmospheric Research (2023) Vol. 294, pp. 106961-106961
Closed Access | Times Cited: 5
Precipitation forecasting: from geophysical aspects to machine learning applications
Ewerton Cristhian Lima de Oliveira, Antônio Vasconcelos Nogueira Neto, Ana Paula Paes dos Santos, et al.
Frontiers in Climate (2023) Vol. 5
Open Access | Times Cited: 2
Ewerton Cristhian Lima de Oliveira, Antônio Vasconcelos Nogueira Neto, Ana Paula Paes dos Santos, et al.
Frontiers in Climate (2023) Vol. 5
Open Access | Times Cited: 2
The Improved Water Resource Stress Index (WRSI) Model in Humid Regions
Yuxin Yang, Feng Yan, Hongliang Wu
Water (2024) Vol. 16, Iss. 12, pp. 1714-1714
Open Access
Yuxin Yang, Feng Yan, Hongliang Wu
Water (2024) Vol. 16, Iss. 12, pp. 1714-1714
Open Access
Improving the Skill of Subseasonal to Seasonal (S2S) Wind Speed Forecasts Over India Using Statistical and Machine Learning Methods
Aheli Das, Dondeti Pranay Reddy, Somnath Baidya Roy
Journal of Geophysical Research Machine Learning and Computation (2024) Vol. 1, Iss. 4
Open Access
Aheli Das, Dondeti Pranay Reddy, Somnath Baidya Roy
Journal of Geophysical Research Machine Learning and Computation (2024) Vol. 1, Iss. 4
Open Access
