
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 hybrid rainfall-runoff model: integrating initial loss and LSTM for improved forecasting
Wei Wang, Jie Gao, Zheng Liu, et al.
Frontiers in Environmental Science (2023) Vol. 11
Open Access | Times Cited: 8
Wei Wang, Jie Gao, Zheng Liu, et al.
Frontiers in Environmental Science (2023) Vol. 11
Open Access | Times Cited: 8
Showing 8 citing articles:
Comparative Assessment of Artificial Neural Networks (ANNs), Long Short Term Memory Network (LSTM) and Hydrologic Engineering Centre-Hydrologic Modelling System (HEC-HMS) for Runoff Modelling
Aparna M. Deulkar, Pradnya Dixit, Shreenivas Londhe, et al.
Water Resources Management (2025)
Closed Access | Times Cited: 1
Aparna M. Deulkar, Pradnya Dixit, Shreenivas Londhe, et al.
Water Resources Management (2025)
Closed Access | Times Cited: 1
Application of a hybrid algorithm of LSTM and Transformer based on random search optimization for improving rainfall-runoff simulation
Wenzhong Li, Chengshuai Liu, Caihong Hu, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 9
Wenzhong Li, Chengshuai Liu, Caihong Hu, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 9
Streamflow Simulation Using a Hybrid Approach Combining HEC-HMS and LSTM Model in the Tlawng River Basin of Mizoram, India
Sagar Debbarma, Arnab Bandyopadhyay, Aditi Bhadra
Environmental Modeling & Assessment (2025)
Closed Access
Sagar Debbarma, Arnab Bandyopadhyay, Aditi Bhadra
Environmental Modeling & Assessment (2025)
Closed Access
LSTM-FKAN coupled with feature extraction technique for Precipitation–Runoff modeling
Tongfang Li, Kairong Lin, Tian Lan, et al.
Journal of Hydrology (2025) Vol. 652, pp. 132705-132705
Closed Access
Tongfang Li, Kairong Lin, Tian Lan, et al.
Journal of Hydrology (2025) Vol. 652, pp. 132705-132705
Closed Access
Using tide for rainfall runoff simulation with feature projection and reversible instance normalization
Zheng Fang, Simin Qu, Xiaoqiang Yang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Zheng Fang, Simin Qu, Xiaoqiang Yang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Revolutionizing the Future of Hydrological Science: Impact of Machine Learning and Deep Learning amidst Emerging Explainable AI and Transfer Learning
Rajib Maity, Aman Srivastava, Subharthi Sarkar, et al.
Applied Computing and Geosciences (2024) Vol. 24, pp. 100206-100206
Open Access | Times Cited: 3
Rajib Maity, Aman Srivastava, Subharthi Sarkar, et al.
Applied Computing and Geosciences (2024) Vol. 24, pp. 100206-100206
Open Access | Times Cited: 3
Lstm-Based Deep Learning Method for Daily Streamflow Prediction in Neuse River Basin, Nc, USA
Habtamu Tsegaye Workneh, Manoj K. Jha
(2024)
Closed Access
Habtamu Tsegaye Workneh, Manoj K. Jha
(2024)
Closed Access
GIS based flood extent assessment using MODIS satellite remote sensing and spatial analysis
Afshin Akram, Arifa Tahir, Asifa Alam
Frontiers in Earth Science (2024) Vol. 12
Open Access
Afshin Akram, Arifa Tahir, Asifa Alam
Frontiers in Earth Science (2024) Vol. 12
Open Access