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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.

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Showing 1-25 of 57 citing articles:

Hybrid forecasting: blending climate predictions with AI models
Louise Slater, Louise Arnal, Marie‐Amélie Boucher, et al.
Hydrology and earth system sciences (2023) Vol. 27, Iss. 9, pp. 1865-1889
Open Access | Times Cited: 84
Coupling Deep Learning and Physically Based Hydrological Models for Monthly Streamflow Predictions
Wenxin Xu, Jie Chen, Gerald Corzo, et al.
Water Resources Research (2024) Vol. 60, Iss. 2
Open Access | Times Cited: 16
Can machine learning accelerate process understanding and decision‐relevant predictions of river water quality?
Charuleka Varadharajan, Alison Appling, Bhavna Arora, et al.
Hydrological Processes (2022) Vol. 36, Iss. 4
Open Access | Times Cited: 51
Artificial intelligence, machine learning and big data in natural resources management: A comprehensive bibliometric review of literature spanning 1975–2022
Dharen Kumar Pandey, Ahmed Imran Hunjra, Ratikant Bhaskar, et al.
Resources Policy (2023) Vol. 86, pp. 104250-104250
Closed Access | Times Cited: 26
SNOTEL, the Soil Climate Analysis Network, and water supply forecasting at the Natural Resources Conservation Service: Past, present, and future
Sean W. Fleming, Lucas Zukiewicz, Michael Ströbel, et al.
JAWRA Journal of the American Water Resources Association (2023) Vol. 59, Iss. 4, pp. 585-599
Open Access | Times Cited: 24
Hybrid Physically Based and Deep Learning Modeling of a Snow Dominated, Mountainous, Karst Watershed
Tianfang Xu, Qianqiu Longyang, Conor Tyson, et al.
Water Resources Research (2022) Vol. 58, Iss. 3
Open Access | Times Cited: 35
Evaluation and interpretation of convolutional long short-term memory networks for regional hydrological modelling
Sam Anderson, Valentina Radić
Hydrology and earth system sciences (2022) Vol. 26, Iss. 3, pp. 795-825
Open Access | Times Cited: 34
Hybrid Theory‐Guided Data Driven Framework for Calculating Irrigation Water Use of Three Staple Cereal Crops in China
Yong Bo, Xueke Li, Kai Liu, et al.
Water Resources Research (2024) Vol. 60, Iss. 3
Open Access | Times Cited: 5
Leveraging Next‐Generation Satellite Remote Sensing‐Based Snow Data to Improve Seasonal Water Supply Predictions in a Practical Machine Learning‐Driven River Forecast System
Sean W. Fleming, Karl Rittger, Catalina M. Oaida Taglialatela, et al.
Water Resources Research (2024) Vol. 60, Iss. 4
Open Access | Times Cited: 5
Using Deep Learning in Ensemble Streamflow Forecasting: Exploring the Predictive Value of Explicit Snowpack Information
Parthkumar Modi, Keith S. Jennings, Joseph Kasprzyk, et al.
Journal of Advances in Modeling Earth Systems (2025) Vol. 17, Iss. 3
Open Access
Hybrid forecasting: using statistics and machine learning to integrate predictions from dynamical models
Louise Slater, Louise Arnal, Marie‐Amélie Boucher, et al.
(2022)
Open Access | Times Cited: 23
Streamflow Prediction at the Intersection of Physics and Machine Learning: A Case Study of Two Mediterranean‐Climate Watersheds
Saalem Adera, Dino Bellugi, A. S. Dhakal, et al.
Water Resources Research (2024) Vol. 60, Iss. 7
Open Access | Times Cited: 4
Optimising Water Use Through Smart Models and Artificial Intelligence
Jaime Ortiz, Víctor Manuel Zamudio-García
IGI Global eBooks (2025), pp. 165-196
Closed Access
Protocols for Water and Environmental Modeling Using Machine Learning in California
Minxue He, Prabhjot Sandhu, Peyman Namadi, et al.
Hydrology (2025) Vol. 12, Iss. 3, pp. 59-59
Open Access
The value of long‐term in situ soil moisture and snowpack monitoring: Laying the foundation for future studies in the Upper Missouri River Basin
Mingxiu Wang, Briana M. Wyatt
Vadose Zone Journal (2025) Vol. 24, Iss. 2
Open Access
Stream Temperature Predictions for River Basin Management in the Pacific Northwest and Mid-Atlantic Regions Using Machine Learning
Helen Weierbach, Aranildo R. Lima, Jared Willard, et al.
Water (2022) Vol. 14, Iss. 7, pp. 1032-1032
Open Access | Times Cited: 21
Surface Water Monitoring Systems—The Importance of Integrating Information Sources for Sustainable Watershed Management
Yuli Sudriani, Viktor Sebestyén, János Abonyi
IEEE Access (2023) Vol. 11, pp. 36421-36451
Open Access | Times Cited: 12
An interval water demand prediction method to reduce uncertainty: A case study of Sichuan Province, China
Xinyu Xia, Bin Liu, Rui Tian, et al.
Environmental Research (2023) Vol. 238, pp. 117143-117143
Closed Access | Times Cited: 11
Investigating the Role of Snow Water Equivalent on Streamflow Predictability during Drought
Parthkumar Modi, Eric E. Small, Joseph Kasprzyk, et al.
Journal of Hydrometeorology (2022) Vol. 23, Iss. 10, pp. 1607-1625
Open Access | Times Cited: 14
A Review of Current Capabilities and Science Gaps in Water Supply Data, Modeling, and Trends for Water Availability Assessments in the Upper Colorado River Basin
Fred D. Tillman, Natalie Day, Matthew P. Miller, et al.
Water (2022) Vol. 14, Iss. 23, pp. 3813-3813
Open Access | Times Cited: 14
Explainable Artificial Intelligence in Hydrology: Interpreting Black-Box Snowmelt-Driven Streamflow Predictions in an Arid Andean Basin of North-Central Chile
Jorge Núñez, Catalina B. Cortés, Marjorie A. Yáñez
Water (2023) Vol. 15, Iss. 19, pp. 3369-3369
Open Access | Times Cited: 8
Wildfire and climate change amplify knowledge gaps linking mountain source-water systems and agricultural water supply in the western United States
David M. Barnard, Timothy R. Green, Kyle R. Mankin, et al.
Agricultural Water Management (2023) Vol. 286, pp. 108377-108377
Open Access | Times Cited: 7
Coaching Studies Morals in Conservation Efforts Environment Sustainable Living (Case Study in Schools River Ciliwung Srengseng Sawah Jakarta)
Juwito Faisal, Sofyan Sauri, Hendri Tanjung, et al.
Journal La Lifesci (2024) Vol. 4, Iss. 6, pp. 239-252
Open Access | Times Cited: 2
Extreme events threat water-energy-carbon nexus through cascading effects
Pengfei Zhao, Shuangqi Li, Da Xie, et al.
Next Energy (2024) Vol. 5, pp. 100151-100151
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
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