OpenAlex Citation Counts

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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:

Hybrid Data-Driven Models for Hydrological Simulation and Projection on the Catchment Scale
Salem Gharbia, Khurram Riaz, Iulia Anton, et al.
Sustainability (2022) Vol. 14, Iss. 7, pp. 4037-4037
Open Access | Times Cited: 12

Showing 12 citing articles:

A hybrid model enhancing streamflow forecasts in paddy land use-dominated catchments with numerical weather prediction model-based meteorological forcings
Ashrumochan Mohanty, Bhabagrahi Sahoo, Ravindra V. Kale
Journal of Hydrology (2024) Vol. 635, pp. 131225-131225
Closed Access | Times Cited: 9

Assessing the impacts of climate change on precipitation through a hybrid method of machine learning and discrete wavelet transform techniques, case study: Cork, Ireland
Sogol Moradian, G. Iglesias, Ciarán Broderick, et al.
Journal of Hydrology Regional Studies (2023) Vol. 49, pp. 101523-101523
Open Access | Times Cited: 17

Improving flood forecasting using time-distributed CNN-LSTM model: a time-distributed spatiotemporal method
Haider Ali Malik, Jun Feng, Pingping Shao, et al.
Earth Science Informatics (2024)
Closed Access | Times Cited: 4

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

Comparison of Multiple Indirect Approaches to Estimate Streamflow in the Osage and Severn Rivers
Sajjad M. Vatanchi, Mahmoud F. Maghrebi
Journal of Hydrologic Engineering (2025) Vol. 30, Iss. 3
Closed Access

Exploring the feasibility of Support Vector Machine for short-term hydrological forecasting in South Tyrol: challenges and prospects
Daniele Dalla Torre, Andrea Lombardi, Andrea Menapace, et al.
Deleted Journal (2024) Vol. 6, Iss. 4
Open Access | Times Cited: 2

Enhanced streamflow simulations using nudging based optimization coupled with data-driven and hydrological models
T. M. Sharannya, Venkatesh Kolluru, Amai Mahesha, et al.
Journal of Hydrology Regional Studies (2022) Vol. 43, pp. 101190-101190
Open Access | Times Cited: 11

Runoff time series prediction based on hybrid models of two-stage signal decomposition methods and LSTM for the Pearl River in China
Zhao Guo, Qian-Qian Zhang, Nan Li, et al.
Hydrology Research (2023) Vol. 54, Iss. 12, pp. 1505-1521
Open Access | Times Cited: 4

Comparative assessment of empirical Random Forest family’s model in simulating future streamflow in different basin of Sarawak, Malaysia
Zulfaqar Sa’adi, Shamsuddin Shahid, Mohammed Sanusi Shiru, et al.
Journal of Atmospheric and Solar-Terrestrial Physics (2024) Vol. 265, pp. 106381-106381
Closed Access | Times Cited: 1

Improving real-time flood forecasting updating through a complete and non-excessive precipitation adjustment
Shuhong Xu, Qiongfang Li, Xiaoqiang Yang, et al.
Journal of Hydrology (2024), pp. 132538-132538
Closed Access | Times Cited: 1

Fertiliser cost prediction in European Union farms: Machine-learning approaches through artificial neural networks
Vítor João Pereira Domingues Martinho
Open Agriculture (2023) Vol. 8, Iss. 1
Open Access | Times Cited: 3

Exploring the Feasibility of Data-Driven Models for Short-Term Hydrological Forecasting in South Tyrol: Challenges and Prospects
Daniele Dalla Torre, Andrea Lombardi, Andrea Menapace, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 1

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