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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:

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 26-50 of 117 citing articles:

Modelling the effects of heat stress on post-heading durations in wheat: A comparison of temperature response routines
Bing Liu, Leilei Liu, Senthold Asseng, et al.
Agricultural and Forest Meteorology (2016) Vol. 222, pp. 45-58
Closed Access | Times Cited: 46
Uncertainty from model structure is larger than that from model parameters in simulating rice phenology in China
Shuai Zhang, Fulu Tao, Zhao Zhang
European Journal of Agronomy (2017) Vol. 87, pp. 30-39
Open Access | Times Cited: 44
Why do crop models diverge substantially in climate impact projections? A comprehensive analysis based on eight barley crop models
Fulu Tao, Taru Palosuo, Reimund P. Rötter, et al.
Agricultural and Forest Meteorology (2019) Vol. 281, pp. 107851-107851
Closed Access | Times Cited: 43
Increased uncertainty in simulated maize phenology with more frequent supra-optimal temperature under climate warming
Na Wang, Jing Wang, Enli Wang, et al.
European Journal of Agronomy (2015) Vol. 71, pp. 19-33
Closed Access | Times Cited: 41
Urbanization Impacts on Vegetation Phenology in China
Qiang Ren, Chunyang He, Qingxu Huang, et al.
Remote Sensing (2018) Vol. 10, Iss. 12, pp. 1905-1905
Open Access | Times Cited: 40
Evaluation of crop model prediction and uncertainty using Bayesian parameter estimation and Bayesian model averaging
Yujing Gao, Daniel Wallach, Toshihiro Hasegawa, et al.
Agricultural and Forest Meteorology (2021) Vol. 311, pp. 108686-108686
Closed Access | Times Cited: 30
Physiological causes of transplantation shock on rice growth inhibition and delayed heading
HyeonSeok Lee, Woon-Ha Hwang, Jae‐Hyeok Jeong, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 28
Estimating yield potential in temperate high-yielding, direct-seeded US rice production systems
Matthew B. Espe, Haishun Yang, Kenneth G. Cassman, et al.
Field Crops Research (2016) Vol. 193, pp. 123-132
Open Access | Times Cited: 37
Large-scale evaluation of the effects of adaptation to climate change by shifting transplanting date on rice production and quality in Japan
Yasushi Ishigooka, S. Fukui, Toshihiro Hasegawa, et al.
Journal of Agricultural Meteorology (2017) Vol. 73, Iss. 4, pp. 156-173
Open Access | Times Cited: 35
Calibration of the phenology sub-model of APSIM-Oryza: Going beyond goodness of fit
S. P. Nissanka, Asha S. Karunaratne, Ruchika S. Perera, et al.
Environmental Modelling & Software (2015) Vol. 70, pp. 128-137
Closed Access | Times Cited: 34
Mangrove Phenology and Environmental Drivers Derived from Remote Sensing in Southern Thailand
Veeranun Songsom, Werapong Koedsin, Raymond J. Ritchie, et al.
Remote Sensing (2019) Vol. 11, Iss. 8, pp. 955-955
Open Access | Times Cited: 33
Prediction of maize growth stages based on deep learning
Yue Yang, Jinhai Li, Lifeng Fan, et al.
Computers and Electronics in Agriculture (2020) Vol. 172, pp. 105351-105351
Closed Access | Times Cited: 30
Land use, climate, and water change in the Vietnamese Mekong Delta (VMD) using earth observation and hydrological modeling
Arun Mondal, Manh‐Hung Le, V. Lakshmi
Journal of Hydrology Regional Studies (2022) Vol. 42, pp. 101132-101132
Open Access | Times Cited: 18
Concurrent Precipitation Extremes Modulate the Response of Rice Transplanting Date to Preseason Temperature Extremes in China
Yiqing Liu, Weihang Liu, Yan Li, et al.
Earth s Future (2023) Vol. 11, Iss. 1
Open Access | Times Cited: 11
Planting date adjustment and varietal replacement can effectively adapt to climate warming in China southern rice area
Y. Wang, Shuo Li, Jiongchao Zhao, et al.
Agricultural Systems (2025) Vol. 226, pp. 104330-104330
Closed Access
An interpretable machine learning technique to identify the key meteorological factors influencing the incidence of wheat Fusarium head blight in Korea
N. S. Lee, Jung‐Wook Yang, Jinyong Jung, et al.
Computers and Electronics in Agriculture (2025) Vol. 235, pp. 110355-110355
Open Access
Rice water requirement exacerbates groundwater depletion in Northeast China under a changing climates
Yi Zhao, Tao Li, Zhao Jin, et al.
Agricultural and Forest Meteorology (2025) Vol. 371, pp. 110624-110624
Closed Access
Simulating the Impact of Climate Change on Rice Phenology and Grain Yield in Irrigated Drylands of Central Asia
Krishna Prasad Devkota, Ahmad M. Manschadi, Mitra Lal Devkota, et al.
Journal of Applied Meteorology and Climatology (2013) Vol. 52, Iss. 9, pp. 2033-2050
Open Access | Times Cited: 36
Estimating parametric phenotypes that determine anthesis date in Zea mays: Challenges in combining ecophysiological models with genetics
Abhishes Lamsal, Stephen M. Welch, Jeffrey W. White, et al.
PLoS ONE (2018) Vol. 13, Iss. 4, pp. e0195841-e0195841
Open Access | Times Cited: 31
Trends and Climate Response in the Phenology of Crops in Northeast China
Dengpan Xiao, Yi Zhang, Huizi Bai, et al.
Frontiers in Earth Science (2021) Vol. 9
Open Access | Times Cited: 23
Improving rice phenology simulations based on the Bayesian model averaging method
Jinhui Zheng, Shuai Zhang
European Journal of Agronomy (2022) Vol. 142, pp. 126646-126646
Closed Access | Times Cited: 16
Projecting the impact of climate change and elevated CO2 concentration on rice irrigation water requirement in China
B. Sun, Weiguang Wang, Guoshuai Liu, et al.
The Science of The Total Environment (2023) Vol. 912, pp. 168489-168489
Closed Access | Times Cited: 9
Overcoming mechanistic limitations of process-based phenological models: A data clustering method for large-scale applications
Jiaojiao Tan, Gang Zhao, Qi Tian, et al.
Agricultural and Forest Meteorology (2024) Vol. 356, pp. 110167-110167
Closed Access | Times Cited: 3
Simulating climate change impacts and potential adaptations on rice yields in the Sichuan Basin, China
Che-Chen Xu, Wenxiang Wu, Quansheng Ge, et al.
Mitigation and Adaptation Strategies for Global Change (2015) Vol. 22, Iss. 4, pp. 565-594
Closed Access | Times Cited: 28
A methodology for estimating phenological parameters of rice cultivars utilizing data from common variety trials
S. Fukui, Yasushi Ishigooka, Tsuneo Kuwagata, et al.
Journal of Agricultural Meteorology (2015) Vol. 71, Iss. 2, pp. 77-89
Open Access | Times Cited: 26

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