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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:

Modeling the response of rice phenology to climate change and variability in different climatic zones: Comparisons of five models
Shuai Zhang, Fulu Tao
European Journal of Agronomy (2012) Vol. 45, pp. 165-176
Closed Access | Times Cited: 117

Showing 1-25 of 117 citing articles:

Uncertainties in predicting rice yield by current crop models under a wide range of climatic conditions
Tao Li, Toshihiro Hasegawa, Xinyou Yin, et al.
Global Change Biology (2014) Vol. 21, Iss. 3, pp. 1328-1341
Open Access | Times Cited: 408
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
ChinaCropPhen1km: a high-resolution crop phenological dataset for three staple crops in China during 2000–2015 based on leaf area index (LAI) products
Yuchuan Luo, Zhao Zhang, Yi Chen, et al.
Earth system science data (2020) Vol. 12, Iss. 1, pp. 197-214
Open Access | Times Cited: 216
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
Analysis and classification of data sets for calibration and validation of agro-ecosystem models
Kurt Christian Kersebaum, Kenneth J. Boote, Jason Jorgenson, et al.
Environmental Modelling & Software (2015) Vol. 72, pp. 402-417
Closed Access | Times Cited: 154
Climate warming and management impact on the change of phenology of the rice-wheat cropping system in Punjab, Pakistan
Shakeel Ahmad, Ghulam Abbas, Mukhtar Ahmed, et al.
Field Crops Research (2018) Vol. 230, pp. 46-61
Closed Access | Times Cited: 152
A Comprehensive Review of the CERES-Wheat, -Maize and -Rice Models’ Performances
Bruno Basso, Lin Liu, J. T. Ritchie
Advances in agronomy (2016), pp. 27-132
Closed Access | Times Cited: 119
Climate change impacts on rice productivity in the Mekong River Delta
Caitlin Kontgis, Annemarie Schneider, Mutlu Özdoğan, et al.
Applied Geography (2018) Vol. 102, pp. 71-83
Closed Access | Times Cited: 110
Impacts of recent climate extremes on spring phenology in arid-mountain ecosystems in China
Zhibin He, Jun Du, Longfei Chen, et al.
Agricultural and Forest Meteorology (2018) Vol. 260-261, pp. 31-40
Closed Access | Times Cited: 101
Water Management and Hydrological Characteristics of Paddy-Rice Fields under Alternate Wetting and Drying Irrigation Practice as Climate Smart Practice: A Review
Denis Bwire, Hirotaka Saito, Roy C. Sidle, et al.
Agronomy (2024) Vol. 14, Iss. 7, pp. 1421-1421
Open Access | Times Cited: 9
Shifts in cultivar and planting date have regulated rice growth duration under climate warming in China since the early 1980s
Xunyu Hu, Yao Huang, Wenjuan Sun, et al.
Agricultural and Forest Meteorology (2017) Vol. 247, pp. 34-41
Closed Access | Times Cited: 69
Impacts of 1.5 and 2.0°C global warming on rice production across China
Yijiang Liu, Liang Tang, Xiaolei Qiu, et al.
Agricultural and Forest Meteorology (2020) Vol. 284, pp. 107900-107900
Closed Access | Times Cited: 65
Predicting rice phenology across China by integrating crop phenology model and machine learning
Jinhan Zhang, Xiaomao Lin, Chongya Jiang, et al.
The Science of The Total Environment (2024) Vol. 951, pp. 175585-175585
Closed Access | Times Cited: 8
Improved Climate Risk Simulations for Rice in Arid Environments
P.A.J. van Oort, Michiel E. de Vries, Hiroe Yoshida, et al.
PLoS ONE (2015) Vol. 10, Iss. 3, pp. e0118114-e0118114
Open Access | Times Cited: 62
Point stresses during reproductive stage rather than warming seasonal temperature determine yield in temperate rice
Matthew B. Espe, Jim Hill, Robert J. Hijmans, et al.
Global Change Biology (2017) Vol. 23, Iss. 10, pp. 4386-4395
Closed Access | Times Cited: 60
Management outweighs climate change on affecting length of rice growing period for early rice and single rice in China during 1991–2012
Xuhui Wang, Philippe Ciais, Laurent Li, et al.
Agricultural and Forest Meteorology (2016) Vol. 233, pp. 1-11
Open Access | Times Cited: 58
Understanding long-term (1982–2013) patterns and trends in winter wheat spring green-up date over the North China Plain
Sisi Wang, Xingguo Mo, Zhengjia Liu, et al.
International Journal of Applied Earth Observation and Geoinformation (2017) Vol. 57, pp. 235-244
Closed Access | Times Cited: 56
CCT domain-containing genes in cereal crops: flowering time and beyond
Haiyang Liu, Xiangchun Zhou, Qiuping Li, et al.
Theoretical and Applied Genetics (2020) Vol. 133, Iss. 5, pp. 1385-1396
Closed Access | Times Cited: 46
Prediction of Bhutan's ecological distribution of rice (Oryza sativaL.) under the impact of climate change through maximum entropy modelling
Ngawang Chhogyel, Lalit Kumar, Yadunath Bajgai, et al.
The Journal of Agricultural Science (2020) Vol. 158, Iss. 1-2, pp. 25-37
Open Access | Times Cited: 43
Modeling the response of winter wheat phenology to low temperature stress at elongation and booting stages
Liujun Xiao, Bing Liu, Huxin Zhang, et al.
Agricultural and Forest Meteorology (2021) Vol. 303, pp. 108376-108376
Closed Access | Times Cited: 34
Feature-based algorithm for large-scale rice phenology detection based on satellite images
Xin Zhao, Kazuya Nishina, Tomoko Akitsu, et al.
Agricultural and Forest Meteorology (2022) Vol. 329, pp. 109283-109283
Closed Access | Times Cited: 27
Should phenological information be applied to predict agronomic traits across growth stages of winter wheat?
Yu Zhao, Meng Yang, Shaoyu Han, et al.
The Crop Journal (2022) Vol. 10, Iss. 5, pp. 1346-1352
Closed Access | Times Cited: 26
A 30 m annual maize phenology dataset from 1985 to 2020 in China
Quandi Niu, Xuecao Li, Jianxi Huang, et al.
Earth system science data (2022) Vol. 14, Iss. 6, pp. 2851-2864
Open Access | Times Cited: 25
Rice reproductive growth duration increased despite of negative impacts of climate warming across China during 1981–2009
Shuai Zhang, Fulu Tao, Zhao Zhang
European Journal of Agronomy (2013) Vol. 54, pp. 70-83
Closed Access | Times Cited: 51
Modeling the effects of post-anthesis heat stress on rice phenology
Peihua Shi, Liang Tang, Chunbo Lin, et al.
Field Crops Research (2015) Vol. 177, pp. 26-36
Closed Access | Times Cited: 49
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