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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:

Contribution of crop model structure, parameters and climate projections to uncertainty in climate change impact assessments
Fulu Tao, Reimund P. Rötter, Taru Palosuo, et al.
Global Change Biology (2017) Vol. 24, Iss. 3, pp. 1291-1307
Open Access | Times Cited: 199

Showing 1-25 of 199 citing articles:

Climate change impacts on crop yields
Ehsan Eyshi Rezaei, Heidi Webber, Senthold Asseng, et al.
Nature Reviews Earth & Environment (2023) Vol. 4, Iss. 12, pp. 831-846
Closed Access | Times Cited: 242
Climate change impact on yields and water use of wheat and maize in the North China Plain under future climate change scenarios
Dengpan Xiao, De Li Liu, Bin Wang, et al.
Agricultural Water Management (2020) Vol. 238, pp. 106238-106238
Closed Access | Times Cited: 176
Projections of drought characteristics in China based on a standardized precipitation and evapotranspiration index and multiple GCMs
Ning Yao, Linchao Li, Puyu Feng, et al.
The Science of The Total Environment (2019) Vol. 704, pp. 135245-135245
Closed Access | Times Cited: 172
Mapping disruption and resilience mechanisms in food systems
Serge Savary, Sonia Akter, Conny Almekinders, et al.
Food Security (2020) Vol. 12, Iss. 4, pp. 695-717
Open Access | Times Cited: 160
Integrating satellite-derived climatic and vegetation indices to predict smallholder maize yield using deep learning
Liangliang Zhang, Zhao Zhang, Yuchuan Luo, et al.
Agricultural and Forest Meteorology (2021) Vol. 311, pp. 108666-108666
Closed Access | Times Cited: 107
Future area expansion outweighs increasing drought risk for soybean in Europe
Claas Nendel, Moritz Reckling, Philippe Debaeke, et al.
Global Change Biology (2022) Vol. 29, Iss. 5, pp. 1340-1358
Open Access | Times Cited: 71
Rice yield stability and its determinants across different rice-cropping systems in China
Siyuan Wang, Yijiang Liu, Senthold Asseng, et al.
Agricultural and Forest Meteorology (2025) Vol. 364, pp. 110452-110452
Closed Access | Times Cited: 2
Projecting Exposure to Extreme Climate Impact Events Across Six Event Categories and Three Spatial Scales
Stefan Lange, Jan Volkholz, Tobias Geiger, et al.
Earth s Future (2020) Vol. 8, Iss. 12
Open Access | Times Cited: 137
Improving regional winter wheat yield estimation through assimilation of phenology and leaf area index from remote sensing data
Yi Chen, Zhao Zhang, Fulu Tao
European Journal of Agronomy (2018) Vol. 101, pp. 163-173
Closed Access | Times Cited: 134
The impact of climate change on barley yield in the Mediterranean basin
Davide Cammarano, Salvatore Ceccarelli, Stefania Grando, et al.
European Journal of Agronomy (2019) Vol. 106, pp. 1-11
Open Access | Times Cited: 130
Combining Optical, Fluorescence, Thermal Satellite, and Environmental Data to Predict County-Level Maize Yield in China Using Machine Learning Approaches
Liangliang Zhang, Zhao Zhang, Yuchuan Luo, et al.
Remote Sensing (2019) Vol. 12, Iss. 1, pp. 21-21
Open Access | Times Cited: 116
Modelling climate change impacts on maize yields under low nitrogen input conditions in sub‐Saharan Africa
Gatien N. Falconnier, Marc Corbeels, Kenneth J. Boote, et al.
Global Change Biology (2020) Vol. 26, Iss. 10, pp. 5942-5964
Open Access | Times Cited: 106
Impacts of climate change and climate extremes on major crops productivity in China at a global warming of 1.5 and 2.0 °C
Yi Chen, Zhao Zhang, Fulu Tao
Earth System Dynamics (2018) Vol. 9, Iss. 2, pp. 543-562
Open Access | Times Cited: 99
Two decades of functional–structural plant modelling: now addressing fundamental questions in systems biology and predictive ecology
Gaëtan Louarn, Youhong Song
Annals of Botany (2020) Vol. 126, Iss. 4, pp. 501-509
Open Access | Times Cited: 96
Epigenetics for Crop Improvement in Times of Global Change
Ioanna Kakoulidou, Evangelia V. Avramidou, Miroslav Baránek, et al.
Biology (2021) Vol. 10, Iss. 8, pp. 766-766
Open Access | Times Cited: 95
Impacts of climate change on the optimum planting date of different maize cultivars in the central US Corn Belt
Mitch Baum, Mark A. Licht, Isaiah Huber, et al.
European Journal of Agronomy (2020) Vol. 119, pp. 126101-126101
Open Access | Times Cited: 87
Sources of uncertainty for wheat yield projections under future climate are site-specific
Bin Wang, Puyu Feng, De Li Liu, et al.
Nature Food (2020) Vol. 1, Iss. 11, pp. 720-728
Closed Access | Times Cited: 82
Parameterization-induced uncertainties and impacts of crop management harmonization in a global gridded crop model ensemble
Christian Folberth, Joshua Elliott, Christoph Müller, et al.
PLoS ONE (2019) Vol. 14, Iss. 9, pp. e0221862-e0221862
Open Access | Times Cited: 81
Designing high-yielding maize ideotypes to adapt changing climate in the North China Plain
Dengpan Xiao, De Li Liu, Bin Wang, et al.
Agricultural Systems (2020) Vol. 181, pp. 102805-102805
Closed Access | Times Cited: 73
To bias correct or not to bias correct? An agricultural impact modelers’ perspective on regional climate model data
Patrick Laux, Reimund P. Rötter, Heidi Webber, et al.
Agricultural and Forest Meteorology (2021) Vol. 304-305, pp. 108406-108406
Closed Access | Times Cited: 71
Combining multi-indicators with machine-learning algorithms for maize yield early prediction at the county-level in China
Minghan Cheng, Josep Peñuelas, Matthew F. McCabe, et al.
Agricultural and Forest Meteorology (2022) Vol. 323, pp. 109057-109057
Closed Access | Times Cited: 62
A Hybrid Approach to Tea Crop Yield Prediction Using Simulation Models and Machine Learning
Dania Batool, Muhammad Aaquib Shahbaz, Hafiz Shahzad Asif, et al.
Plants (2022) Vol. 11, Iss. 15, pp. 1925-1925
Open Access | Times Cited: 61
Decomposing crop model uncertainty: A systematic review
Ranju Chapagain, Tomas A. Remenyi, Rebecca M. B. Harris, et al.
Field Crops Research (2022) Vol. 279, pp. 108448-108448
Closed Access | Times Cited: 60
Estimating Global Impacts to Agriculture from Climate Change Accounting for Adaptation
Andrew Hultgren, Tamma Carleton, Michael Delgado, et al.
SSRN Electronic Journal (2022)
Closed Access | Times Cited: 43
High-resolution crop yield and water productivity dataset generated using random forest and remote sensing
Minghan Cheng, Xiyun Jiao, Lei Shi, et al.
Scientific Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 41
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