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:

Global Sensitivity Analysis and Evaluation of the DSSAT Model for Summer Maize (Zea mays L.) Under Irrigation and Fertilizer Stress
Yongqiang Wang, Fangchen Guo, Hongzheng Shen, et al.
International Journal of Plant Production (2021) Vol. 15, Iss. 4, pp. 523-539
Closed Access | Times Cited: 15

Showing 15 citing articles:

Sensitivity and uncertainty analysis of wheat cultivar parameters of the DSSAT model under different water and N treatments
Shikai Gao, Pengcheng He, Xuewen Gong, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Assessing crop yield and water balance in crop rotation irrigation systems: Exploring sensitivity to soil hydraulic characteristics and initial moisture conditions in the North China Plain
Xiangyu Fan, Niels Schütze
Agricultural Water Management (2024) Vol. 300, pp. 108897-108897
Open Access | Times Cited: 4
Evaluation of CERES-Maize model for simulating maize phenology, grain yield, soil–water, evapotranspiration, and water productivity under different nitrogen levels and rainfed, limited, and full irrigation conditions
Suat Irmak, Ebrahim Amırı, Pooya Aalaee Bazkiaee, et al.
Irrigation Science (2024) Vol. 42, Iss. 3, pp. 551-573
Closed Access | Times Cited: 3
The distributed CERES-Maize model with crop parameters determined through data assimilation assists in regional irrigation schedule optimization
Yongqiang Wang, Donghua Huang, Long Zhao, et al.
Computers and Electronics in Agriculture (2022) Vol. 202, pp. 107425-107425
Closed Access | Times Cited: 11
Influence of management practices on water-related grain yield determinants
Laura Echarte, C. Alfonso, Hugo Delfín‐González, et al.
Journal of Experimental Botany (2023) Vol. 74, Iss. 16, pp. 4825-4846
Closed Access | Times Cited: 4
Combining Data Assimilation with Machine Learning to Predict the Regional Daily Leaf Area Index of Summer Maize (Zea mays L.)
Yongqiang Wang, Hui Zhou, Xiaoyi Ma, et al.
Agronomy (2023) Vol. 13, Iss. 11, pp. 2688-2688
Open Access | Times Cited: 4
Global Sensitivity Analysis of the Advanced ORYZA-N Model with Different Rice Types and Irrigation Regimes
Ya Gao, Chen Sun, Tiago B. Ramos, et al.
Plants (2024) Vol. 13, Iss. 2, pp. 262-262
Open Access | Times Cited: 1
Assessment of climate change impact on rainfed corn yield with adaptation measures in Deep South, US
Xiaoliang Han, Adrija Roy, Pouya Moghaddasi, et al.
Agriculture Ecosystems & Environment (2024) Vol. 376, pp. 109230-109230
Closed Access | Times Cited: 1
Effects of water stress and fertilizer stress on maize growth and spectral identification of different stresses
Keming Yang, Yanru Li
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2023) Vol. 297, pp. 122703-122703
Closed Access | Times Cited: 3
Multiobjective optimization of regional irrigation and nitrogen schedules by using the CERES-Maize model with crop parameters determined from the remotely sensed leaf area index
Yongqiang Wang, Donghua Huang, Kexin Sun, et al.
Agricultural Water Management (2023) Vol. 286, pp. 108386-108386
Open Access | Times Cited: 2
Improving crop model accuracy in the development of regional irrigation and nitrogen schedules by using data assimilation and spatial clustering algorithms
Yongqiang Wang, Kexin Sun, Yunhe Gao, et al.
Agricultural Water Management (2023) Vol. 291, pp. 108645-108645
Open Access | Times Cited: 2
Global Sensitivity Analysis of Key Parameters in the APSIMX-Sugarcane Model to Evaluate Nitrate Balance via Treed Gaussian Process
R. H. K. Rathnappriya, Kazuhito Sakai, Ken Okamoto, et al.
Agronomy (2022) Vol. 12, Iss. 8, pp. 1979-1979
Open Access | Times Cited: 4
Yield response to climate change and reduced water use: a comparison between parent and nuclear-mutant lines of soybean
Javad Pirvali Beiranvand, Mahdi Ghamghami
Modeling Earth Systems and Environment (2022) Vol. 8, Iss. 4, pp. 5467-5478
Closed Access | Times Cited: 3
Modeling the Effects of Sowing Dates on Maize in Different Environments in the Tropical Area of Southwest China Using DSSAT
Wenfeng Li, Wenrong Liu, Yue Huang, et al.
Agronomy (2024) Vol. 14, Iss. 12, pp. 2819-2819
Open Access
Impacto das mudanças climáticas no Brasil e sua influência no cultivo e na produtividade do milho: uma abordagem multi-modelos
Yury Catalani Nepomuceno Duarte
(2023)
Open Access
Page 1

Scroll to top