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:
Assessing the impacts of dam/weir operation on streamflow predictions using LSTM across South Korea
Yongsung Kwon, YoonKyung Cha, Yeonjeong Park, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 8
Yongsung Kwon, YoonKyung Cha, Yeonjeong Park, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 8
Showing 8 citing articles:
A review of hybrid deep learning applications for streamflow forecasting
Kin‐Wang Ng, Yuk Feng Huang, Chai Hoon Koo, et al.
Journal of Hydrology (2023) Vol. 625, pp. 130141-130141
Closed Access | Times Cited: 77
Kin‐Wang Ng, Yuk Feng Huang, Chai Hoon Koo, et al.
Journal of Hydrology (2023) Vol. 625, pp. 130141-130141
Closed Access | Times Cited: 77
Enhancing Streamflow Prediction in Ungauged Basins Using a Nonlinear Knowledge‐Based Framework and Deep Learning
Parnian Ghaneei, Ehsan Foroumandi, Hamid Moradkhani
Water Resources Research (2024) Vol. 60, Iss. 11
Open Access | Times Cited: 2
Parnian Ghaneei, Ehsan Foroumandi, Hamid Moradkhani
Water Resources Research (2024) Vol. 60, Iss. 11
Open Access | Times Cited: 2
A comparative analysis of deep-learning models for dam discharge forecasting for disaster management
C. M. Nisha, N. Thangarasu
Water Science & Technology Water Supply (2024) Vol. 24, Iss. 12, pp. 4024-4045
Closed Access | Times Cited: 1
C. M. Nisha, N. Thangarasu
Water Science & Technology Water Supply (2024) Vol. 24, Iss. 12, pp. 4024-4045
Closed Access | Times Cited: 1
Deciphering the black box of deep learning for multi-purpose dam operation modeling via explainable scenarios
Eun-Mi Lee, Jonghun Kam
Journal of Hydrology (2023) Vol. 626, pp. 130177-130177
Closed Access | Times Cited: 4
Eun-Mi Lee, Jonghun Kam
Journal of Hydrology (2023) Vol. 626, pp. 130177-130177
Closed Access | Times Cited: 4
Hierarchical Temporal Scale Framework for Real-Time Streamflow Prediction in Reservoir-Regulated Basins
Jiaxuan Chang, Xuefeng Sang, Junlin Qu, et al.
Research Square (Research Square) (2024)
Open Access
Jiaxuan Chang, Xuefeng Sang, Junlin Qu, et al.
Research Square (Research Square) (2024)
Open Access
From Local to Regional: Deep Learning Models for Daily Water Discharge Forecasting in a Data-Scarce Basin and Engineered River
Nguyen Hao Quang, V. L. Nguyen, Tran Quoc Viet
(2024)
Closed Access
Nguyen Hao Quang, V. L. Nguyen, Tran Quoc Viet
(2024)
Closed Access
A Intensified Approach on Aspect Based Sentiment Analysis Using Pre-Trained Deep Learning Model
V. Sri Vinitha, S.K. Manju Bargavi
(2024), pp. 1-5
Closed Access
V. Sri Vinitha, S.K. Manju Bargavi
(2024), pp. 1-5
Closed Access
Multi-step tap-water quality forecasting in South Korea with transformer-based deep learning model
Danqi Cai, Kunwei Chen, Zhizhe Lin, et al.
Urban Water Journal (2024), pp. 1-12
Closed Access
Danqi Cai, Kunwei Chen, Zhizhe Lin, et al.
Urban Water Journal (2024), pp. 1-12
Closed Access
