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:
Value of process understanding in the era of machine learning: A case for recession flow prediction
Prashant Istalkar, Akshay Kadu, Basudev Biswal
Journal of Hydrology (2023) Vol. 626, pp. 130350-130350
Closed Access | Times Cited: 10
Prashant Istalkar, Akshay Kadu, Basudev Biswal
Journal of Hydrology (2023) Vol. 626, pp. 130350-130350
Closed Access | Times Cited: 10
Showing 10 citing articles:
Hyperparameter optimization of regional hydrological LSTMs by random search: A case study from Basque Country, Spain
Fateme Hosseini, Cristina Prieto, César Álvarez
Journal of Hydrology (2024), pp. 132003-132003
Open Access | Times Cited: 4
Fateme Hosseini, Cristina Prieto, César Álvarez
Journal of Hydrology (2024), pp. 132003-132003
Open Access | Times Cited: 4
Hydrological prediction in ungauged basins based on spatiotemporal characteristics
Qun Zhao, Yuelong Zhu, Yanfeng Shi, et al.
PLoS ONE (2025) Vol. 20, Iss. 1, pp. e0313535-e0313535
Open Access
Qun Zhao, Yuelong Zhu, Yanfeng Shi, et al.
PLoS ONE (2025) Vol. 20, Iss. 1, pp. e0313535-e0313535
Open Access
Improved streamflow simulations in hydrologically diverse basins using physically informed deep learning models
Bhanu Magotra, Manabendra Saharia, C. T. Dhanya
Hydrological Sciences Journal (2025)
Closed Access
Bhanu Magotra, Manabendra Saharia, C. T. Dhanya
Hydrological Sciences Journal (2025)
Closed Access
Tackling water table depth modeling via machine learning: From proxy observations to verifiability
Joseph Janssen, Ardalan Tootchi, Ali Ameli
Advances in Water Resources (2025), pp. 104955-104955
Open Access
Joseph Janssen, Ardalan Tootchi, Ali Ameli
Advances in Water Resources (2025), pp. 104955-104955
Open Access
Hydrograph and recession flows simulations using deep learning: Watershed uniqueness and objective functions
Abhinav Gupta, Sean Andrew McKenna
Journal of Hydrology X (2024), pp. 100198-100198
Open Access | Times Cited: 2
Abhinav Gupta, Sean Andrew McKenna
Journal of Hydrology X (2024), pp. 100198-100198
Open Access | Times Cited: 2
Converging Human Intelligence with AI Systems to Advance Flood Evacuation Decision Making
Rishav Karanjit, Vidya Samadi, Amanda Hughes, et al.
(2024)
Open Access | Times Cited: 1
Rishav Karanjit, Vidya Samadi, Amanda Hughes, et al.
(2024)
Open Access | Times Cited: 1
Troubles in the Paradise: Hydrology Does not Respond to Newtonian Mechanics and the Rise of Machines
Basudev Biswal, Prashant Istalkar, Akshay Kadu
Lecture notes in civil engineering (2024), pp. 17-25
Closed Access | Times Cited: 1
Basudev Biswal, Prashant Istalkar, Akshay Kadu
Lecture notes in civil engineering (2024), pp. 17-25
Closed Access | Times Cited: 1
Applications of Physics-Guided Machine Learning Architectures in Hydrology
Prashant Istalkar, Akshay Kadu, Basudev Biswal
(2024), pp. 1-16
Closed Access
Prashant Istalkar, Akshay Kadu, Basudev Biswal
(2024), pp. 1-16
Closed Access
