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:

A spatio-temporal statistical model of maximum daily river temperatures to inform the management of Scotland's Atlantic salmon rivers under climate change
Faye L. Jackson, Robert J. Fryer, David M. Hannah, et al.
The Science of The Total Environment (2017) Vol. 612, pp. 1543-1558
Open Access | Times Cited: 138

Showing 1-25 of 138 citing articles:

River water temperature forecasting using a deep learning method
Rujian Qiu, Yuankun Wang, Bruce L. Rhoads, et al.
Journal of Hydrology (2021) Vol. 595, pp. 126016-126016
Open Access | Times Cited: 106

Widespread deoxygenation in warming rivers
Wei Zhi, Christoph Klingler, Jiangtao Liu, et al.
Nature Climate Change (2023) Vol. 13, Iss. 10, pp. 1105-1113
Closed Access | Times Cited: 68

Modelling of daily lake surface water temperature from air temperature: Extremely randomized trees (ERT) versus Air2Water, MARS, M5Tree, RF and MLPNN
Salim Heddam, Mariusz Ptak, Senlin Zhu
Journal of Hydrology (2020) Vol. 588, pp. 125130-125130
Closed Access | Times Cited: 129

River temperature research and practice: Recent challenges and emerging opportunities for managing thermal habitat conditions in stream ecosystems
Valérie Ouellet, André St‐Hilaire, Stephen J. Dugdale, et al.
The Science of The Total Environment (2020) Vol. 736, pp. 139679-139679
Closed Access | Times Cited: 125

Atlantic salmon in a rapidly changing environment—Facing the challenges of reduced marine survival and climate change
Eva B. Thorstad, Doug Bliss, Cindy Breau, et al.
Aquatic Conservation Marine and Freshwater Ecosystems (2021) Vol. 31, Iss. 9, pp. 2654-2665
Open Access | Times Cited: 100

Managing riparian zones for river health improvement: an integrated approach
Rinku Singh, Amit Kumar Tiwari, Gopal Shankar Singh
Landscape and Ecological Engineering (2021) Vol. 17, Iss. 2, pp. 195-223
Closed Access | Times Cited: 95

Machine-learning methods for stream water temperature prediction
Moritz Feigl, Katharina Lebiedzinski, Mathew Herrnegger, et al.
Hydrology and earth system sciences (2021) Vol. 25, Iss. 5, pp. 2951-2977
Open Access | Times Cited: 87

Riverscape approaches in practice: perspectives and applications
Christian E. Torgersen, Céline Le Pichon, Aimee H. Fullerton, et al.
Biological reviews/Biological reviews of the Cambridge Philosophical Society (2021) Vol. 97, Iss. 2, pp. 481-504
Open Access | Times Cited: 80

Quantifying the impacts of the Three Gorges Reservoir on water temperature in the middle reach of the Yangtze River
Yuwei Tao, Yuankun Wang, Bruce L. Rhoads, et al.
Journal of Hydrology (2019) Vol. 582, pp. 124476-124476
Closed Access | Times Cited: 77

Deep learning approaches for improving prediction of daily stream temperature in data‐scarce, unmonitored, and dammed basins
Farshid Rahmani, Chaopeng Shen, Samantha K. Oliver, et al.
Hydrological Processes (2021) Vol. 35, Iss. 11
Open Access | Times Cited: 65

Future water temperature of rivers in Switzerland under climate change investigated with physics-based models
Adrien Michel, Bettina Schaefli, Nander Wever, et al.
Hydrology and earth system sciences (2022) Vol. 26, Iss. 4, pp. 1063-1087
Open Access | Times Cited: 41

Recently emerging trends in big data analytic methods for modeling and combating climate change effects
Anayo Chukwu Ikegwu, Henry Friday Nweke, Emmanuel O.C. Mkpojiogu, et al.
Energy Informatics (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 10

Development of improved deep learning models for multi-step ahead forecasting of daily river water temperature
Mehdi Gheisari, Jana Shafi, Saeed Kosari, et al.
Engineering Applications of Computational Fluid Mechanics (2025) Vol. 19, Iss. 1
Open Access | Times Cited: 1

Empirical Stream Thermal Sensitivities May Underestimate Stream Temperature Response to Climate Warming
Jason A. Leach, R. D. Moore
Water Resources Research (2019) Vol. 55, Iss. 7, pp. 5453-5467
Closed Access | Times Cited: 75

Climate change adaptation in fisheries
Eranga K. Galappaththi, Vasantha B. Susarla, Samantha Jane Tanlimco Loutet, et al.
Fish and Fisheries (2021) Vol. 23, Iss. 1, pp. 4-21
Open Access | Times Cited: 43

Manganese Pollution in Mining-Influenced Rivers and Lakes: Current State and Forecast under Climate Change in the Russian Arctic
Vera Matveeva, Alexey V. Alekseenko, Daniel Karthe, et al.
Water (2022) Vol. 14, Iss. 7, pp. 1091-1091
Open Access | Times Cited: 34

Rethinking river water temperature in a changing, human-dominated world
Darren L. Ficklin, David M. Hannah, Niko Wanders, et al.
Nature Water (2023) Vol. 1, Iss. 2, pp. 125-128
Open Access | Times Cited: 23

Assessing climate change impacts on North American freshwater habitat of wild Atlantic salmon - urgent needs for collaborative research
Carole‐Anne Gillis, Valérie Ouellet, Cindy Breau, et al.
Canadian Water Resources Journal / Revue canadienne des ressources hydriques (2023) Vol. 48, Iss. 2, pp. 222-246
Closed Access | Times Cited: 18

Influence of landscape and hydrological factors on stream–air temperature relationships at regional scale
Aurélien Beaufort, Florentina Moatar, Éric Sauquet, et al.
Hydrological Processes (2019) Vol. 34, Iss. 3, pp. 583-597
Open Access | Times Cited: 49

Two hybrid data-driven models for modeling water-air temperature relationship in rivers
Senlin Zhu, Marijana Hadzima-Nyarko, Ang Gao, et al.
Environmental Science and Pollution Research (2019) Vol. 26, Iss. 12, pp. 12622-12630
Closed Access | Times Cited: 46

Assessing the performance of a suite of machine learning models for daily river water temperature prediction
Senlin Zhu, Emmanuel Karlo Nyarko, Marijana Hadzima-Nyarko, et al.
PeerJ (2019) Vol. 7, pp. e7065-e7065
Open Access | Times Cited: 44

Effects of Topographic Resolution and Geologic Setting on Spatial Statistical River Temperature Models
Antóin M. O’Sullivan, K. J. Devito, Jae Ogilvie, et al.
Water Resources Research (2020) Vol. 56, Iss. 12
Closed Access | Times Cited: 41

Bayesian spatio-temporal models for stream networks
Edgar Santos–Fernández, Jay M. Ver Hoef, Erin E. Peterson, et al.
Computational Statistics & Data Analysis (2022) Vol. 170, pp. 107446-107446
Open Access | Times Cited: 28

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