Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 a hydrological model by coupling it with an LSTM water use forecasting model
Mengqi Wu, Pan Liu, Luguang Liu, et al.
Journal of Hydrology (2024) Vol. 636, pp. 131215-131215
Closed Access | Times Cited: 10

Showing 10 citing articles:

Analyzing Multi-Year Nitrate Concentration Evolution in Alabama Aquatic Systems Using a Machine Learning Model
Bahareh KarimiDermani, Christopher T. Green, Geoffrey R. Tick, et al.
Environments (2025) Vol. 12, Iss. 3, pp. 75-75
Open Access | Times Cited: 1
Transferred Long Short-Term Memory Network for River Flow Forecasting in Data-Scarce Basins
Zhenglei Xie, Wei Xu, Bing Zhu, et al.
Water Resources Management (2025)
Closed Access | Times Cited: 1
Quantifying the Impacts of Climate Change and Human Activities on Runoff in the Upper Yongding River Basin
Yiyang Yang, Siyu Cai, Xiangyu Sun, et al.
Journal of Hydrologic Engineering (2025) Vol. 30, Iss. 2
Closed Access
Dependency Tree-Integrator Method for Reducing Mislaid Data Errors in Water Demand Prediction
G Manikannan, K. Jayanthi
Research Square (Research Square) (2025)
Closed Access
Improving the streamflow prediction accuracy in sparse data regions: a fresh perspective on integrated hydrological-hydrodynamic and hybrid machine learning models
Saeed Khorram, Nima Jehbez
Engineering Applications of Computational Fluid Mechanics (2024) Vol. 18, Iss. 1
Open Access | Times Cited: 1
Runoff simulation of the Kaidu River Basin based on the GR4J-6 and GR4J-6-LSTM models
Jing Yang, Fulong Chen, Aihua Long, et al.
Journal of Hydrology Regional Studies (2024) Vol. 56, pp. 102034-102034
Open Access | Times Cited: 1
Deep learning-based landslide tsunami run-up prediction from synthetic gage data
Mustafa Açıkkar, B. Aydin
Applied Ocean Research (2024) Vol. 154, pp. 104360-104360
Open Access | Times Cited: 1
Runoff Simulation of the Kaidu River Basin Based on the Gr4j-6 and Gr4j-6-Lstm Models
Jing Yang, Fulong Chen, Aihua Long, et al.
(2024)
Closed Access
Runoff Simulation of the Kaidu River Basin Based on the Gr4j-6 and Gr4j-6-Lstm Models
Jing Yang, Fulong Chen, Aihua Long, et al.
(2024)
Closed Access
Estimating reference evapotranspiration using hybrid models optimized by bio-inspired algorithms combined with key meteorological factors
Hanmi Zhou, Linshuang Ma, Youzhen Xiang, et al.
Computers and Electronics in Agriculture (2024) Vol. 230, pp. 109862-109862
Closed Access
Page 1

Scroll to top