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:

Climate change effect on wheat phenology depends on cultivar change
Ehsan Eyshi Rezaei, Stefan Siebert, Hubert Hüging, et al.
Scientific Reports (2018) Vol. 8, Iss. 1
Open Access | Times Cited: 125

Showing 1-25 of 125 citing articles:

The fingerprints of climate warming on cereal crops phenology and adaptation options
Zartash Fatima, Mukhtar Ahmed, Mubshar Hussain, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 227

The Exceptional 2018 European Water Seesaw Calls for Action on Adaptation
Andrea Toreti, Alan Belward, Ignácio Pérez Domínguez, et al.
Earth s Future (2019) Vol. 7, Iss. 6, pp. 652-663
Open Access | Times Cited: 209

Impact of climate change on agricultural production; Issues, challenges, and opportunities in Asia
Muhammad Habib ur Rahman, Ashfaq Ahmad, Ahsan Raza, et al.
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 202

Global crop yields can be lifted by timely adaptation of growing periods to climate change
Sara Minoli, Jonas Jägermeyr, Senthold Asseng, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 148

Observed Northward Migration of Agro‐Climate Zones in Europe Will Further Accelerate Under Climate Change
Andrej Ceglar, Matteo Zampieri, Andrea Toreti, et al.
Earth s Future (2019) Vol. 7, Iss. 9, pp. 1088-1101
Open Access | Times Cited: 141

Maize yields over Europe may increase in spite of climate change, with an appropriate use of the genetic variability of flowering time
Boris Parent, Margot Leclère, Sébastien Lacube, et al.
Proceedings of the National Academy of Sciences (2018) Vol. 115, Iss. 42, pp. 10642-10647
Open Access | Times Cited: 114

Dissecting the nonlinear response of maize yield to high temperature stress with model‐data integration
Peng Zhu, Qianlai Zhuang, Sotirios V. Archontoulis, et al.
Global Change Biology (2019) Vol. 25, Iss. 7, pp. 2470-2484
Closed Access | Times Cited: 88

Importance of considering technology growth in impact assessments of climate change on agriculture
Pramod Aggarwal, Shalika Vyas, Philip K. Thornton, et al.
Global Food Security (2019) Vol. 23, pp. 41-48
Open Access | Times Cited: 79

The chaos in calibrating crop models: Lessons learned from a multi-model calibration exercise
Daniel Wallach, Taru Palosuo, Peter J. Thorburn, et al.
Environmental Modelling & Software (2021) Vol. 145, pp. 105206-105206
Open Access | Times Cited: 71

Climate change reduces agricultural total factor productivity in major agricultural production areas of China even with continuously increasing agricultural inputs
Hong Li Zhou, Fulu Tao, Yi Chen, et al.
Agricultural and Forest Meteorology (2024) Vol. 349, pp. 109953-109953
Closed Access | Times Cited: 10

Global Response Patterns of Major Rainfed Crops to Adaptation by Maintaining Current Growing Periods and Irrigation
Sara Minoli, Christoph Müller, Joshua Elliott, et al.
Earth s Future (2019) Vol. 7, Iss. 12, pp. 1464-1480
Open Access | Times Cited: 68

Spatial variations in crop growing seasons pivotal to reproduce global fluctuations in maize and wheat yields
Jonas Jägermeyr, Katja Frieler
Science Advances (2018) Vol. 4, Iss. 11
Open Access | Times Cited: 66

Assessment of the sustainability of different cropping systems under three irrigation strategies in the North China Plain under climate change
Zongzheng Yan, Xiying Zhang, Muhammad Adil Rashid, et al.
Agricultural Systems (2019) Vol. 178, pp. 102745-102745
Closed Access | Times Cited: 57

Impact of climate change and crop management on cotton phenology based on statistical analysis in the main-cotton-planting areas of China
Na Li, Yi Li, Asim Biswas, et al.
Journal of Cleaner Production (2021) Vol. 298, pp. 126750-126750
Closed Access | Times Cited: 55

How well do crop modeling groups predict wheat phenology, given calibration data from the target population?
Daniel Wallach, Taru Palosuo, Peter J. Thorburn, et al.
European Journal of Agronomy (2021) Vol. 124, pp. 126195-126195
Open Access | Times Cited: 45

UAV time-series imagery with novel machine learning to estimate heading dates of rice accessions for breeding
Mengqi Lyu, Xuqi Lu, Yutao Shen, et al.
Agricultural and Forest Meteorology (2023) Vol. 341, pp. 109646-109646
Closed Access | Times Cited: 23

Proposal and extensive test of a calibration protocol for crop phenology models
Daniel Wallach, Taru Palosuo, Peter J. Thorburn, et al.
Agronomy for Sustainable Development (2023) Vol. 43, Iss. 4
Open Access | Times Cited: 18

SIMPLACE—a versatile modelling and simulation framework for sustainable crops and agroecosystems
Andreas Enders, Murilo dos Santos Vianna, Thomas Gaiser, et al.
in silico Plants (2023) Vol. 5, Iss. 1
Open Access | Times Cited: 17

Modelling the impacts of climate change and crop management measures on soybean phenology in China
Yujie Liu, Liang Dai
Journal of Cleaner Production (2020) Vol. 262, pp. 121271-121271
Closed Access | Times Cited: 50

Temperature response of wheat affects final height and the timing of stem elongation under field conditions
Lukas Kronenberg, Steven Yates, Martin P. Boer, et al.
Journal of Experimental Botany (2020) Vol. 72, Iss. 2, pp. 700-717
Open Access | Times Cited: 46

Climate resilience of the top ten wheat producers in the Mediterranean and the Middle East
Matteo Zampieri, Andrea Toreti, Andrej Ceglar, et al.
Regional Environmental Change (2020) Vol. 20, Iss. 2
Open Access | Times Cited: 44

Drought and flood risk assessment for rainfed agriculture based on Copula-Bayesian conditional probabilities
Wentong Yang, Liyuan Zhang, Yu Gao
Ecological Indicators (2022) Vol. 146, pp. 109812-109812
Open Access | Times Cited: 26

The coincidence of climate extremes with sensitive crop growth phases: Projected impact on sustainable crop water use and crop yield in the IGB river basins
Qurat-ul-Ain Ahmad, Eddy Moors, Ilyas Masih, et al.
The Science of The Total Environment (2024) Vol. 916, pp. 169680-169680
Open Access | Times Cited: 6

Durum Wheat (Triticum turgidum ssp. durum) Breeding to Meet the Challenge of Climate Change
Pasquale De Vita, Francesca Taranto
Springer eBooks (2019), pp. 471-524
Closed Access | Times Cited: 41

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