Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 Models to Adaptation in Wheat
Karine Chenu, John R. Porter, Pierre Martre, et al.
Trends in Plant Science (2017) Vol. 22, Iss. 6, pp. 472-490
Closed Access | Times Cited: 262

Showing 1-25 of 262 citing articles:

Translating High-Throughput Phenotyping into Genetic Gain
J. L. Araus, Shawn C. Kefauver, Mainassara Zaman‐Allah, et al.
Trends in Plant Science (2018) Vol. 23, Iss. 5, pp. 451-466
Open Access | Times Cited: 636
Climate change impact and adaptation for wheat protein
Senthold Asseng, Pierre Martre, Andrea Maiorano, et al.
Global Change Biology (2018) Vol. 25, Iss. 1, pp. 155-173
Open Access | Times Cited: 441
Towards a multiscale crop modelling framework for climate change adaptation assessment
Bin Peng, Kaiyu Guan, Jinyun Tang, et al.
Nature Plants (2020) Vol. 6, Iss. 4, pp. 338-348
Closed Access | Times Cited: 232
Breeder friendly phenotyping
Matthew Reynolds, Scott Chapman, Leonardo Crespo‐Herrera, et al.
Plant Science (2020) Vol. 295, pp. 110396-110396
Open Access | Times Cited: 202
Field crop phenomics: enabling breeding for radiation use efficiency and biomass in cereal crops
Robert T. Furbank, José A. Jiménez-Berni, Barbara George‐Jaeggli, et al.
New Phytologist (2019) Vol. 223, Iss. 4, pp. 1714-1727
Open Access | Times Cited: 186
Incorporating machine learning with biophysical model can improve the evaluation of climate extremes impacts on wheat yield in south-eastern Australia
Puyu Feng, Bin Wang, De Li Liu, et al.
Agricultural and Forest Meteorology (2019) Vol. 275, pp. 100-113
Closed Access | Times Cited: 182
Silver lining to a climate crisis in multiple prospects for alleviating crop waterlogging under future climates
Ke Liu, Matthew Tom Harrison, Hàoliàng Yán, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 163
Lidar sheds new light on plant phenomics for plant breeding and management: Recent advances and future prospects
Shichao Jin, Xiliang Sun, Fangfang Wu, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2020) Vol. 171, pp. 202-223
Closed Access | Times Cited: 153
Large potential for crop production adaptation depends on available future varieties
Florian Zabel, Christoph Müller, Joshua Elliott, et al.
Global Change Biology (2021) Vol. 27, Iss. 16, pp. 3870-3882
Open Access | Times Cited: 115
Climate impact and adaptation to heat and drought stress of regional and global wheat production
Diego Noleto Luz Pequeno, Ixchel M. Hernández-Ochoa, Matthew Reynolds, et al.
Environmental Research Letters (2021) Vol. 16, Iss. 5, pp. 054070-054070
Open Access | Times Cited: 114
Crop traits and production under drought
Vincent Vadez, Alexandre Grondin, Karine Chenu, et al.
Nature Reviews Earth & Environment (2024) Vol. 5, Iss. 3, pp. 211-225
Closed Access | Times Cited: 59
Evaluation of wheat yield in North China Plain under extreme climate by coupling crop model with machine learning
Huizi Bai, Dengpan Xiao, Jianzhao Tang, et al.
Computers and Electronics in Agriculture (2024) Vol. 217, pp. 108651-108651
Closed Access | Times Cited: 18
System dynamics simulation model for efficient on-farm carrot cultivation
Maxim Logachev, Yana Beresneva
BIO Web of Conferences (2024) Vol. 84, pp. 01027-01027
Open Access | Times Cited: 17
Global wheat production with 1.5 and 2.0°C above pre‐industrial warming
Bing Liu, Pierre Martre, Frank Ewert, et al.
Global Change Biology (2018) Vol. 25, Iss. 4, pp. 1428-1444
Open Access | Times Cited: 144
Multimodel ensembles improve predictions of crop–environment–management interactions
Daniel Wallach, Pierre Martre, Bing Liu, et al.
Global Change Biology (2018) Vol. 24, Iss. 11, pp. 5072-5083
Open Access | Times Cited: 143
Linking modelling and experimentation to better capture crop impacts of agroclimatic extremes—A review
Reimund P. Rötter, Mercy Appiah, Esther Fichtler, et al.
Field Crops Research (2018) Vol. 221, pp. 142-156
Closed Access | Times Cited: 117
Spectral Vegetation Indices to Track Senescence Dynamics in Diverse Wheat Germplasm
Jonas Anderegg, Kang Yu, Helge Aasen, et al.
Frontiers in Plant Science (2020) Vol. 10
Open Access | Times Cited: 112
Current knowledge and future research opportunities for modeling annual crop mixtures. A review
Noémie Gaudio, Abraham A. Escobar Gutierrez, Pierre Casadebaig, et al.
Agronomy for Sustainable Development (2019) Vol. 39, Iss. 2
Open Access | Times Cited: 105
Applying the latest advances in genomics and phenomics for trait discovery in polyploid wheat
Philippa Borrill, Sophie A. Harrington, Cristóbal Uauy
The Plant Journal (2018) Vol. 97, Iss. 1, pp. 56-72
Open Access | Times Cited: 97
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: 94
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: 93
Biological reality and parsimony in crop models—why we need both in crop improvement!
Graeme Hammer, Carlos D. Messina, Alex Wu, et al.
in silico Plants (2019) Vol. 1, Iss. 1
Open Access | Times Cited: 92
Putting primary metabolism into perspective to obtain better fruits
Bertrand Beauvoit, Isma Belouah, Nadia Bertin, et al.
Annals of Botany (2018) Vol. 122, Iss. 1, pp. 1-21
Open Access | Times Cited: 88
Tackling G × E × M interactions to close on-farm yield-gaps: creating novel pathways for crop improvement by predicting contributions of genetics and management to crop productivity
Mark Cooper, Kai P. Voss‐Fels, Carlos D. Messina, et al.
Theoretical and Applied Genetics (2021) Vol. 134, Iss. 6, pp. 1625-1644
Open Access | Times Cited: 75
Improving productivity of Australian wheat by adapting sowing date and genotype phenology to future climate
Brian Collins, Karine Chenu
Climate Risk Management (2021) Vol. 32, pp. 100300-100300
Open Access | Times Cited: 65
Page 1 - Next Page

Scroll to top