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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:

Derivation of consistent, continuous daily river temperature data series by combining remote sensing and water temperature models
Matheus Henrique Tavares, Augusto Hugo Farias da Cunha, David da Motta Marques, et al.
Remote Sensing of Environment (2020) Vol. 241, pp. 111721-111721
Closed Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

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
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
Projected river water temperatures in Poland under climate change scenarios
Wentao Dong, Bartosz Czernecki, Renata Graf, et al.
Journal of Hydrology Regional Studies (2025) Vol. 59, pp. 102368-102368
Closed Access | Times Cited: 1
Impact of extreme atmospheric heat events on river thermal dynamics and heatwaves
Jiang Sun, Renata Graf, Dariusz Wrzesiński, et al.
Journal of Hydrology (2025), pp. 133292-133292
Closed Access | Times Cited: 1
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
150-year daily data (1870–2021) in lakes and rivers reveals intensifying surface water warming and heatwaves in the Pannonian Ecoregion (Hungary)
Huan Li, Jiang Sun, Quan Zhou, et al.
Journal of Hydrology Regional Studies (2024) Vol. 56, pp. 101985-101985
Open Access | Times Cited: 5
Reconstruction of long-term water temperature indicates significant warming in Polish rivers during 1966–2020
Senlin Zhu, You Luo, Renata Graf, et al.
Journal of Hydrology Regional Studies (2022) Vol. 44, pp. 101281-101281
Open Access | Times Cited: 22
Projecting spatiotemporally explicit effects of climate change on stream temperature: A model comparison and implications for coldwater fishes
Se-Yeun Lee, Aimee H. Fullerton, Ning Sun, et al.
Journal of Hydrology (2020) Vol. 588, pp. 125066-125066
Open Access | Times Cited: 32
Assessment of Impacts of Climate Change on Indian Riverine Thermal Regimes Using Hybrid Deep Learning Methods
S. Rehana, M. Rajesh
Water Resources Research (2023) Vol. 59, Iss. 2
Closed Access | Times Cited: 11
Monthly stream temperatures along the Danube River: Statistical analysis and predictive modelling with incremental climate change scenarios
Pavla Pekárová, Zbyněk Bajtek, Ján Pekár, et al.
Journal of Hydrology and Hydromechanics (2023) Vol. 71, Iss. 4, pp. 382-398
Open Access | Times Cited: 10
River Thermal Dynamics and Heatwaves of Polish Rivers Under Climate Change
Jiang Sun, Fabio Di Nunno, Mariusz Sojka, et al.
Water Resources Research (2025) Vol. 61, Iss. 5
Open Access
Luminescence‐Based Infrared Thermal Sensors: Comprehensive Insights
Shah Fahad, Li Song, Yufei Zhai, et al.
Small (2023) Vol. 20, Iss. 3
Closed Access | Times Cited: 9
Bat algorithm optimised extreme learning machine (Bat‐ELM): A novel approach for daily river water temperature modelling
Salim Heddam, Sungwon Kim, Ali Danandeh Mehr, et al.
Geographical Journal (2022) Vol. 189, Iss. 1, pp. 78-89
Closed Access | Times Cited: 13
A Machine Learning Approach for Estimating the Trophic State of Urban Waters Based on Remote Sensing and Environmental Factors
Shijie Zhu, Jingqiao Mao
Remote Sensing (2021) Vol. 13, Iss. 13, pp. 2498-2498
Open Access | Times Cited: 16
Combining Landsat TIR‐imagery data and ERA5 reanalysis information with different calibration strategies to improve simulations of streamflow and river temperature in the Canadian Subarctic
Eisinhower Rincón, André St‐Hilaire, Normand Bergeron, et al.
Hydrological Processes (2023) Vol. 37, Iss. 10
Open Access | Times Cited: 6
Modeling the Impact of Urban and Industrial Pollution on the Quality of Surface Water in Intermittent Rivers in a Semi-Arid Mediterranean Climate
Abdelillah Bouriqi, Naaila Ouazzani, Jean‐François Deliège
Hydrology (2024) Vol. 11, Iss. 9, pp. 150-150
Open Access | Times Cited: 2
Lake surface water temperature in China from 2001 to 2021 based on GEE and HANTS
Song Song, Jinxin Yang, Linjie Liu, et al.
Ecological Informatics (2024) Vol. 84, pp. 102903-102903
Open Access | Times Cited: 2
River thermal seasons in the Central European Plain and their changes during climate warming
Włodzimierz Marszelewski, Paweł Jokiel, Bożena Pius, et al.
Journal of Hydrology (2022) Vol. 610, pp. 127945-127945
Closed Access | Times Cited: 10
Land Surface Temperature Retrieval Using High-Resolution Vertical Profiles Simulated by WRF Model
Lucas Ribeiro Diaz, Daniel Caetano Santos, Pâmela Suélen Käfer, et al.
Atmosphere (2021) Vol. 12, Iss. 11, pp. 1436-1436
Open Access | Times Cited: 11
Machine learning methods for stream water temperature prediction
Moritz Feigl, Katharina Lebiedzinski, Mathew Herrnegger, et al.
(2021)
Open Access | Times Cited: 11
Modeling of the thermal regime of rivers subject to seasonal ice cover using data from different sources and temporal resolutions
Anik Daigle, Claudine Boyer, Arthur Légaré
Canadian Water Resources Journal / Revue canadienne des ressources hydriques (2022) Vol. 48, Iss. 2, pp. 132-148
Closed Access | Times Cited: 7
Significant Rise in Sava River Water Temperature in the City of Zagreb Identified across Various Time Scales
Ognjen Bonacci, Ana Žaknić‐Ćatović, Tanja Roje-Bonacci
Water (2024) Vol. 16, Iss. 16, pp. 2337-2337
Open Access | Times Cited: 1
Investigation on River Thermal Regime under Dam Influence by Integrating Remote Sensing and Water Temperature Model
Xi Shi, Jian Sun, Zijun Xiao
Water (2021) Vol. 13, Iss. 2, pp. 133-133
Open Access | Times Cited: 9
Atmospheric Correction of Thermal Infrared Landsat Images Using High-Resolution Vertical Profiles Simulated by WRF Model
Lucas Ribeiro Diaz, Daniel Caetano Santos, Pâmela Suélen Käfer, et al.
(2021), pp. 27-27
Open Access | Times Cited: 4
Comparison of methods to derive river water temperature using thermal infrared imagery: A case study of the upper Yangtze River catchment
Xi Shi, Junqiang Xia, Jian Sun
Journal of Lake Sciences (2022) Vol. 34, Iss. 1, pp. 307-319
Open Access | Times Cited: 3
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