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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:

A coupled hydrological-plant growth model for simulating the effect of elevated CO 2 on a temperate grassland
Juliane Kellner, Sebastian Multsch, Tobias Houska, et al.
Agricultural and Forest Meteorology (2017) Vol. 246, pp. 42-50
Closed Access | Times Cited: 23

Showing 23 citing articles:

A review of coupled hydrologic and crop growth models
Si Mokrane Siad, Vito Iacobellis, Pandi Zdruli, et al.
Agricultural Water Management (2019) Vol. 224, pp. 105746-105746
Open Access | Times Cited: 123
Chlorophyll fluorescence parameter as a predictor of tomato growth and yield under CO2 enrichment in protective cultivation
Chuan Zhang, Muhammad Akhlaq, Haofang Yan, et al.
Agricultural Water Management (2023) Vol. 284, pp. 108333-108333
Open Access | Times Cited: 28
Impact of climate change on the vulnerability of drinking water intakes in a northern region
Baptiste Leveque, Jean‐Baptiste Burnet, Philip S. Brenner, et al.
Sustainable Cities and Society (2020) Vol. 66, pp. 102656-102656
Closed Access | Times Cited: 60
Sensitivity of evapotranspiration and seepage to elevated atmospheric CO2 from lysimeter experiments in a montane grassland
Matevž Vremec, Veronika Forstner, Markus Herndl, et al.
Journal of Hydrology (2022) Vol. 617, pp. 128875-128875
Open Access | Times Cited: 30
Diagnostic Framework for Evaluating How Parametric Uncertainty Influences Agro‐Hydrologic Model Projections of Crop Yields Under Climate Change
Tina Karimi, Patrick M. Reed, Keyvan Malek, et al.
Water Resources Research (2022) Vol. 58, Iss. 6
Open Access | Times Cited: 17
Modeling carbon and water fluxes in agro-pastoral systems under contrasting climates and different management practices
Luisa Leolini, Sergi Costafreda-Aumedes, Lorenzo Brilli, et al.
Agricultural and Forest Meteorology (2025) Vol. 367, pp. 110486-110486
Open Access
Response of maize biomass and soil water fluxes on elevated CO2 and drought—From field experiments to process‐based simulations
Juliane Kellner, Tobias Houska, Remigius Manderscheid, et al.
Global Change Biology (2019) Vol. 25, Iss. 9, pp. 2947-2957
Closed Access | Times Cited: 27
Simulating Long-Term Development of Greenhouse Gas Emissions, Plant Biomass, and Soil Moisture of a Temperate Grassland Ecosystem under Elevated Atmospheric CO2
Ralf Liebermann, Lutz Breuer, Tobias Houska, et al.
Agronomy (2019) Vol. 10, Iss. 1, pp. 50-50
Open Access | Times Cited: 26
Reduced Summer Aboveground Productivity in Temperate C3 Grasslands Under Future Climate Regimes
Wolfgang A. Obermeier, Lukas Lehnert, Martin Ivanov, et al.
Earth s Future (2018) Vol. 6, Iss. 5, pp. 716-729
Open Access | Times Cited: 20
Coupled modelling of hydrological processes and grassland production in two contrasting climates
Nicholas Jarvis, Jannis Groh, Elisabet Lewan, et al.
Hydrology and earth system sciences (2022) Vol. 26, Iss. 8, pp. 2277-2299
Open Access | Times Cited: 11
Lower grass stomatal conductance under elevated CO2 can decrease transpiration and evapotranspiration rates despite carbon fertilization
Sate Ahmad, Charilaos Yiotis, Weimu Xu, et al.
Plant Direct (2024) Vol. 8, Iss. 10
Open Access | Times Cited: 2
A comprehensive meta-analysis of the impacts of intensified drought and elevated CO2 on forage growth
Wanlu Liu, Lulu Liu, Rui Yan, et al.
Journal of Environmental Management (2022) Vol. 327, pp. 116885-116885
Closed Access | Times Cited: 10
A Brief Review of Tools to Promote Transdisciplinary Collaboration for Addressing Climate Change Challenges in Agriculture by Model Coupling
Sruthi Surendran, Deepak Jaiswal
Studies in big data (2023), pp. 3-33
Closed Access | Times Cited: 4
Extreme climatic events down-regulate the grassland biomass response to elevated carbon dioxide
Naiming Yuan, Gerald M. Moser, C. Mueller, et al.
Scientific Reports (2018) Vol. 8, Iss. 1
Open Access | Times Cited: 9
Elevated carbon dioxide significantly improves ascorbic acid content, antioxidative properties and restricted biomass production in cruciferous vegetable seedlings
M. Muthusamy, Jung Eun Hwang, Suk Hee Kim, et al.
Plant Biotechnology Reports (2019) Vol. 13, Iss. 3, pp. 293-304
Closed Access | Times Cited: 8
Detection of hidden model errors by combining single and multi-criteria calibration
Tobias Houska, Philipp Kraft, Florian Ulrich Jehn, et al.
The Science of The Total Environment (2021) Vol. 777, pp. 146218-146218
Open Access | Times Cited: 5
Incremental model breakdown to assess the multi-hypotheses problem
Florian Ulrich Jehn, Lutz Breuer, Tobias Houska, et al.
Hydrology and earth system sciences (2018) Vol. 22, Iss. 8, pp. 4565-4581
Open Access | Times Cited: 4
Eine kurze Übersicht über Instrumente zur Förderung transdisziplinärer Zusammenarbeit bei der Bewältigung von Herausforderungen des Klimawandels in der Landwirtschaft durch Modellkopplung
Sruthi Surendran, Deepak Jaiswal
(2024), pp. 3-36
Closed Access
Coupled modelling of hydrological processes and grassland production in two contrasting climates
Nicholas Jarvis, Jannis Groh, Elisabet Lewan, et al.
(2021)
Open Access | Times Cited: 3
growR: R Implementation of the Vegetation Model ModVege
Kevin Kramer, Pierluigi Calanca
The Journal of Open Source Software (2024) Vol. 9, Iss. 94, pp. 6260-6260
Open Access
growR: Implementation of the Vegetation Model ModVege
Kevin Kramer
(2023)
Closed Access
Incremental model breakdown to assess the multi-hypotheses problem
Florian Ulrich Jehn, Lutz Breuer, Tobias Houska, et al.
(2017)
Open Access
Comment on hess-2021-316
Nicholas Jarvis, Jannis Groh, Elisabet Lewan, et al.
(2021)
Open Access
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