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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:

Coevolution of machine learning and process‐based modelling to revolutionize Earth and environmental sciences: A perspective
Saman Razavi, David M. Hannah, Amin Elshorbagy, et al.
Hydrological Processes (2022) Vol. 36, Iss. 6
Open Access | Times Cited: 69

Showing 1-25 of 69 citing articles:

Application of Machine Learning in Water Resources Management: A Systematic Literature Review
Fatemeh Ghobadi, Doosun Kang
Water (2023) Vol. 15, Iss. 4, pp. 620-620
Open Access | Times Cited: 73
Iterative integration of deep learning in hybrid Earth surface system modelling
Min Chen, Zhen Qian, Niklas Boers, et al.
Nature Reviews Earth & Environment (2023) Vol. 4, Iss. 8, pp. 568-581
Closed Access | Times Cited: 53
Exploding the myths: An introduction to artificial neural networks for prediction and forecasting
Holger R. Maier, Stefano Galelli, Saman Razavi, et al.
Environmental Modelling & Software (2023) Vol. 167, pp. 105776-105776
Open Access | Times Cited: 50
DeepGR4J: A deep learning hybridization approach for conceptual rainfall-runoff modelling
Arpit Kapoor, Sahani Pathiraja, Lucy Marshall, et al.
Environmental Modelling & Software (2023) Vol. 169, pp. 105831-105831
Open Access | Times Cited: 42
Developing a Physics‐Informed Deep Learning Model to Simulate Runoff Response to Climate Change in Alpine Catchments
L. Zhong, Huimin Lei, Bing Gao
Water Resources Research (2023) Vol. 59, Iss. 6
Closed Access | Times Cited: 35
Using Machine Learning to Identify Hydrologic Signatures With an Encoder–Decoder Framework
Tom Botterill, Hilary McMillan
Water Resources Research (2023) Vol. 59, Iss. 3
Open Access | Times Cited: 21
Application of machine learning and emerging remote sensing techniques in hydrology: A state-of-the-art review and current research trends
Asish Saha, Subodh Chandra Pal
Journal of Hydrology (2024) Vol. 632, pp. 130907-130907
Closed Access | Times Cited: 13
A New Benchmark on Machine Learning Methodologies for Hydrological Processes Modelling: A Comprehensive Review for Limitations and Future Research Directions
Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬
Knowledge-Based Engineering and Sciences (2023) Vol. 4, Iss. 3, pp. 65-103
Open Access | Times Cited: 20
Meta-LSTM in hydrology: Advancing runoff predictions through model-agnostic meta-learning
Kaixuan Cai, Jinxin He, Qingliang Li, et al.
Journal of Hydrology (2024) Vol. 639, pp. 131521-131521
Closed Access | Times Cited: 5
Time series predictions in unmonitored sites: a survey of machine learning techniques in water resources
Jared Willard, Charuleka Varadharajan, Xiaowei Jia, et al.
Environmental Data Science (2025) Vol. 4
Open Access
Convergent and Transdisciplinary Integration: On the Future of Integrated Modeling of Human‐Water Systems
Saman Razavi, Ashleigh Duffy, Leila Eamen, et al.
Water Resources Research (2025) Vol. 61, Iss. 2
Open Access
31. Hydrological modelling
Lieke Melsen
Open Book Publishers (2025), pp. 493-502
Closed Access
On Robustness of the Explanatory Power of Machine Learning Models: Insights From a New Explainable AI Approach Using Sensitivity Analysis
Banamali Panigrahi, Saman Razavi, Lorne E. Doig, et al.
Water Resources Research (2025) Vol. 61, Iss. 3
Open Access
Review: Modeling the Effects of Salinity and Sodicity in Agricultural Systems
Isaac Kramer, Yair Mau
Water Resources Research (2023) Vol. 59, Iss. 6
Open Access | Times Cited: 15
Modelling water quantity and quality for integrated water cycle management with the Water Systems Integrated Modelling framework (WSIMOD) software
Barnaby Dobson, Leyang Liu, Ana Mijić
Geoscientific model development (2024) Vol. 17, Iss. 10, pp. 4495-4513
Open Access | Times Cited: 4
Review of hydrological modelling in the Australian Alps: from rainfall-runoff to physically based models
Natasha Harvey, Saman Razavi, Shane P. Bilish
Australasian Journal of Water Resources (2024), pp. 1-17
Open Access | Times Cited: 3
Nitrogen deposition contributed to a global increase in nitrous oxide emissions from forest soils
Xiaoyu Cen, Christoph Müller, Xiaoyan Kang, et al.
Communications Earth & Environment (2024) Vol. 5, Iss. 1
Open Access | Times Cited: 3
Development of a physics-informed data-driven model for gaining insights into hydrological processes in irrigated watersheds
Kailong Li, Guohe Huang, Shuo Wang, et al.
Journal of Hydrology (2022) Vol. 613, pp. 128323-128323
Closed Access | Times Cited: 17
Retracted: Spatiotemporal convolutional long short-term memory for regional streamflow predictions
Abdalla Mohammed, Gerald Corzo
Journal of Environmental Management (2023) Vol. 350, pp. 119585-119585
Open Access | Times Cited: 9
Pitfalls of distinguishing anthropogenic and geogenic reasons for risk elements in soils around coal-fired power plants: from a case study in the Northwestern Czech Republic to general recommendations
Slavomír Adamec, Štěpánka Tůmová, Michal Hošek, et al.
Journal of Soils and Sediments (2024) Vol. 24, Iss. 3, pp. 1274-1288
Open Access | Times Cited: 2
Improved monthly streamflow prediction using integrated multivariate adaptive regression spline with K-means clustering: implementation of reanalyzed remote sensing data
Özgür Kişi, Salim Heddam, Kulwinder Singh Parmar, et al.
Stochastic Environmental Research and Risk Assessment (2024) Vol. 38, Iss. 6, pp. 2489-2519
Open Access | Times Cited: 2
How much X is in XAI: Responsible use of “Explainable” artificial intelligence in hydrology and water resources
Holger R. Maier, Firouzeh Rosa Taghikhah, Ehsan Nabavi, et al.
Journal of Hydrology X (2024) Vol. 25, pp. 100185-100185
Open Access | Times Cited: 2
Cooperation in a transboundary river basin: a large-scale socio-hydrological model of the Eastern Nile
Mohammad Ghoreishi, Amin Elshorbagy, Saman Razavi, et al.
Hydrology and earth system sciences (2023) Vol. 27, Iss. 5, pp. 1201-1219
Open Access | Times Cited: 5
Recent Progress on Surface Water Quality Models Utilizing Machine Learning Techniques
Mengjie He, Qin Qian, Xinyu Liu, et al.
Water (2024) Vol. 16, Iss. 24, pp. 3616-3616
Open Access | Times Cited: 1
Ecohydrological interactions during drought
Julian Klaus, Wendy A. Monk, Lu Zhang, et al.
Ecohydrology (2022) Vol. 15, Iss. 5
Closed Access | Times Cited: 8
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