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:
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
Amirmasoud Amini, Mehri Dolatshahi, Reza Kerachian
Journal of Hydrology (2024) Vol. 631, pp. 130804-130804
Closed Access | Times Cited: 14
Showing 14 citing articles:
How accurate are the machine learning models in improving monthly rainfall prediction in hyper arid environment?
Faisal Baig, Luqman Ali, Muhammad Abrar Faiz, et al.
Journal of Hydrology (2024) Vol. 633, pp. 131040-131040
Closed Access | Times Cited: 24
Faisal Baig, Luqman Ali, Muhammad Abrar Faiz, et al.
Journal of Hydrology (2024) Vol. 633, pp. 131040-131040
Closed Access | Times Cited: 24
Urban real-time rainfall-runoff prediction using adaptive SSA-decomposition with dual attention
Yuan Tian, Weiming Fu, Yi Xiang, et al.
Journal of Hydrology (2025), pp. 132701-132701
Closed Access | Times Cited: 1
Yuan Tian, Weiming Fu, Yi Xiang, et al.
Journal of Hydrology (2025), pp. 132701-132701
Closed Access | Times Cited: 1
SMGformer: integrating STL and multi-head self-attention in deep learning model for multi-step runoff forecasting
Wenchuan Wang, M. H. Gu, Yang-hao Hong, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 6
Wenchuan Wang, M. H. Gu, Yang-hao Hong, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 6
Twin extreme learning machine model and cooperation search algorithm for multi-step-ahead point and interval runoff prediction
Zhong-kai Feng, Pan Liu, Wen-jing Niu, et al.
Journal of Hydrology (2025), pp. 132778-132778
Closed Access
Zhong-kai Feng, Pan Liu, Wen-jing Niu, et al.
Journal of Hydrology (2025), pp. 132778-132778
Closed Access
RFM_Trans: Runoff forecasting model for catchment flood protection using strategies optimized Transformer
Nana Bao, C. Li, Xingting Yan, et al.
Expert Systems with Applications (2025), pp. 127228-127228
Closed Access
Nana Bao, C. Li, Xingting Yan, et al.
Expert Systems with Applications (2025), pp. 127228-127228
Closed Access
A generalised hydrological model for streamflow prediction using wavelet Ensembling
Chinmaya Panda, Kanhu Charan Panda, Ram Mandir Singh, et al.
Journal of Hydrology (2025), pp. 132883-132883
Closed Access
Chinmaya Panda, Kanhu Charan Panda, Ram Mandir Singh, et al.
Journal of Hydrology (2025), pp. 132883-132883
Closed Access
Deep learning-driven rainfall prediction leveraging hybrid child drawing development optimization and time series data
Nihar M. Ranjan, Mubin Tamboli, Jayashree R. Prasad, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 3
Closed Access
Nihar M. Ranjan, Mubin Tamboli, Jayashree R. Prasad, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 3
Closed Access
Enhanced rainfall nowcasting of tropical cyclone by an interpretable deep learning model and its application in real-time flood forecasting
Li Liu, Xiao Liang, Yue‐Ping Xu, et al.
Journal of Hydrology (2024), pp. 131993-131993
Closed Access | Times Cited: 3
Li Liu, Xiao Liang, Yue‐Ping Xu, et al.
Journal of Hydrology (2024), pp. 131993-131993
Closed Access | Times Cited: 3
Runoff Prediction in Different Forecast Periods via a Hybrid Machine Learning Model for Ganjiang River Basin, China
Wei Wang, Shinan Tang, Jiacheng Zou, et al.
Water (2024) Vol. 16, Iss. 11, pp. 1589-1589
Open Access | Times Cited: 2
Wei Wang, Shinan Tang, Jiacheng Zou, et al.
Water (2024) Vol. 16, Iss. 11, pp. 1589-1589
Open Access | Times Cited: 2
Evaluating the impact of improved filter-wrapper input variable selection on Long-term runoff forecasting using local and global climate information
Binlin Yang, Chen Lu, Bin Yi, et al.
Journal of Hydrology (2024), pp. 132034-132034
Closed Access | Times Cited: 2
Binlin Yang, Chen Lu, Bin Yi, et al.
Journal of Hydrology (2024), pp. 132034-132034
Closed Access | Times Cited: 2
Prediction of non-stationary daily streamflow series based on ensemble learning: a case study of the Wei River Basin, China
Wei Ma, Xiao Zhang, Jiancang Xie, et al.
Stochastic Environmental Research and Risk Assessment (2024)
Closed Access | Times Cited: 1
Wei Ma, Xiao Zhang, Jiancang Xie, et al.
Stochastic Environmental Research and Risk Assessment (2024)
Closed Access | Times Cited: 1
Investigation of Soil Liquefaction and Flooding as a Hydrological Risk for Disaster Risk Reduction in the Construction of Water Reservoirs
Pınar Sarı Çavdar
(2024)
Closed Access
Pınar Sarı Çavdar
(2024)
Closed Access
Assessing the Performance of Machine Learning Algorithms for Water Level Prediction in the Chao Phraya River and its Tributaries: A Focus on Low and High Water Levels
Wilmat D.S.M. Priyasiri, Areeya Rittima, Jidapa Kraisangka, et al.
(2024)
Closed Access
Wilmat D.S.M. Priyasiri, Areeya Rittima, Jidapa Kraisangka, et al.
(2024)
Closed Access
A stacking ensemble machine learning model for improving monthly runoff prediction
Wenchuan Wang, M. H. Gu, Zong Li, et al.
Earth Science Informatics (2024) Vol. 18, Iss. 1
Closed Access
Wenchuan Wang, M. H. Gu, Zong Li, et al.
Earth Science Informatics (2024) Vol. 18, Iss. 1
Closed Access
