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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:

Improving water status prediction of winter wheat using multi-source data with machine learning
Bo Shi, Yifan Yuan, Tingxuan Zhuang, et al.
European Journal of Agronomy (2022) Vol. 139, pp. 126548-126548
Closed Access | Times Cited: 24

Showing 24 citing articles:

Applicability of machine learning techniques in predicting wheat yield based on remote sensing and climate data in Pakistan, South Asia
Sana Arshad, Syed Jamil Hasan Kazmi, Muhammad Gohar Javed, et al.
European Journal of Agronomy (2023) Vol. 147, pp. 126837-126837
Closed Access | Times Cited: 28
Improved estimation of canopy water status in cotton using vegetation indices along with textural information from UAV-based multispectral images
Shengzhao Pei, Yulong Dai, Zhentao Bai, et al.
Computers and Electronics in Agriculture (2024) Vol. 224, pp. 109176-109176
Closed Access | Times Cited: 10
Winter wheat yield prediction using linear and nonlinear machine learning algorithms based on climatological and remote sensing data
Muhammad Tahir Haseeb, Zainab Tahi, Syed Amer Mahmood, et al.
Information Processing in Agriculture (2025)
Open Access | Times Cited: 1
Improving the prediction performance of leaf water content by coupling multi-source data with machine learning in rice (Oryza sativa L.)
Xuenan Zhang, Haocong Xu, Yehong She, et al.
Plant Methods (2024) Vol. 20, Iss. 1
Open Access | Times Cited: 7
A Machine Learning Approach to Monitor the Physiological and Water Status of an Irrigated Peach Orchard under Semi-Arid Conditions by Using Multispectral Satellite Data
Pasquale Campi, Anna Francesca Modugno, Gabriele De Carolis, et al.
Water (2024) Vol. 16, Iss. 16, pp. 2224-2224
Open Access | Times Cited: 7
How can agricultural water production be promoted？ a review on machine learning for irrigation
Hairong Gao, Lili Zhangzhong, Wengang Zheng, et al.
Journal of Cleaner Production (2023) Vol. 414, pp. 137687-137687
Closed Access | Times Cited: 15
Investigating the impacts of different degrees of deficit irrigation and nitrogen interactions on assimilate translocation, yield, and resource use efficiencies in winter wheat
Tingxuan Zhuang, Syed Tahir Ata-Ul-Karim, Ben Zhao, et al.
Agricultural Water Management (2024) Vol. 304, pp. 109089-109089
Open Access | Times Cited: 5
Evaluation of crop water status using UAV-based images data with a model updating strategy
Ning Yang, Zhitao Zhang, Xiaofei Yang, et al.
Agricultural Water Management (2025) Vol. 312, pp. 109445-109445
Open Access
Enhancing winter wheat growth indicator prediction with multi-task learning and multi-source data
Heesang Song, Tingxuan Zhuang, Xiu-Jie Li, et al.
European Journal of Agronomy (2025) Vol. 168, pp. 127629-127629
Closed Access
Accurate estimation of sorghum crop water content under different water stress levels using machine learning and hyperspectral data
Emre Tunca, Eyüp Seli̇m Köksal, Elif ÖZTÜRK, et al.
Environmental Monitoring and Assessment (2023) Vol. 195, Iss. 7
Closed Access | Times Cited: 11
Data-driven approaches to improve water-use efficiency and drought resistance in crop plants
Niharika Sharma, Harsh Raman, David A. Wheeler, et al.
Plant Science (2023) Vol. 336, pp. 111852-111852
Closed Access | Times Cited: 11
Combining machine learning algorithm and multi-temporal temperature indices to estimate the water status of rice
Yinshan Wu, Jie Jiang, Xiufeng Zhang, et al.
Agricultural Water Management (2023) Vol. 289, pp. 108521-108521
Open Access | Times Cited: 11
Integrating high‐throughput phenotyping and genome‐wide association studies for enhanced drought resistance and yield prediction in wheat
Zhen Zhang, Yunfeng Qu, Feifei Ma, et al.
New Phytologist (2024) Vol. 243, Iss. 5, pp. 1758-1775
Open Access | Times Cited: 4
Evaluation of Hyperspectral Monitoring Model for Aboveground Dry Biomass of Winter Wheat by Using Multiple Factors
Chenbo Yang, Jing Xu, Meichen Feng, et al.
Agronomy (2023) Vol. 13, Iss. 4, pp. 983-983
Open Access | Times Cited: 9
Coupling continuous wavelet transform with machine learning to improve water status prediction in winter wheat
Tingxuan Zhuang, Yu Zhang, Dong Li, et al.
Precision Agriculture (2023) Vol. 24, Iss. 6, pp. 2171-2199
Closed Access | Times Cited: 6
Modeling strategies and influencing factors in retrieving canopy equivalent water thickness of mangrove forest with Sentinel-2 image
Jing Miao, Junjie Wang, Demei Zhao, et al.
Ecological Indicators (2023) Vol. 158, pp. 111497-111497
Open Access | Times Cited: 6
Slope deformation prediction based on noise reduction and deep learning: a point prediction and probability analysis method
Man Shao, Fuming Liu
Frontiers in Earth Science (2024) Vol. 12
Closed Access | Times Cited: 1
Farmland hydrological cycle under agroforestry systems and efficient use of water resources in the karst desertification environment
Qinglin Wu, Lan Wang
Heliyon (2024) Vol. 10, Iss. 15, pp. e35506-e35506
Open Access | Times Cited: 1
Estimation of Canopy Water Content by Integrating Hyperspectral and Thermal Imagery in Winter Wheat Fields
Chenkai Gao, Shuimiao Liu, Pengnian Wu, et al.
Agronomy (2024) Vol. 14, Iss. 11, pp. 2569-2569
Open Access | Times Cited: 1
Impact of remote sensing data fusion on agriculture applications: A review
Ayyappa Reddy Allu, Shashi Mesapam
European Journal of Agronomy (2024) Vol. 164, pp. 127478-127478
Closed Access | Times Cited: 1
Wheat Crop Yield Prediction Using Machine Learning
Deepak Kumar, Yash Kumar, Akhilesh Gulati, et al.
2021 International Conference on Data Analytics for Business and Industry (ICDABI) (2022), pp. 433-437
Closed Access | Times Cited: 6
The roles of trust and privacy calculus in citizen-centric services usage: evidence from the close contact query platform in China
Jingrui Ju, Liuan Wang
Behaviour and Information Technology (2024), pp. 1-22
Closed Access
Estimation of goji berry (Lycium barbarum L.) canopy water content based on optimal spectral indices
Jin-Long ZHAO, Xiaojie Liang, Xiong Kang, et al.
Scientia Horticulturae (2024) Vol. 337, pp. 113589-113589
Open Access
Estimation of Water Interception of Winter Wheat Canopy Under Sprinkler Irrigation Using UAV Image Data
Xueqing Zhou, Haijun Liu, Lun Li
Water (2024) Vol. 16, Iss. 24, pp. 3609-3609
Open Access
Farmland Hydrological Cycle Progress Under Agroforestry Systems And Efficient Use of Water Resources in the Karst Desertification Environment
Qinglin Wu, Lan Wang
(2023)
Closed Access
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