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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:

Proximal hyperspectral sensing of abiotic stresses in plants
Alireza Sanaeifar, Ce Yang, Miguel de la Guárdia, et al.
The Science of The Total Environment (2022) Vol. 861, pp. 160652-160652
Closed Access | Times Cited: 47

Showing 1-25 of 47 citing articles:

A systematic review of hyperspectral imaging in precision agriculture: Analysis of its current state and future prospects
Billy Graham Ram, Peter G. Oduor, C. Igathinathane, et al.
Computers and Electronics in Agriculture (2024) Vol. 222, pp. 109037-109037
Open Access | Times Cited: 22
Temperature‐smart plants: A new horizon with omics‐driven plant breeding
Ali Raza, Shanza Bashir, Tushar Khare, et al.
Physiologia Plantarum (2024) Vol. 176, Iss. 1
Open Access | Times Cited: 19
High-throughput phenotyping of plant leaf morphological, physiological, and biochemical traits on multiple scales using optical sensing
Huichun Zhang, Lu Wang, Xiuliang Jin, et al.
The Crop Journal (2023) Vol. 11, Iss. 5, pp. 1303-1318
Open Access | Times Cited: 35
Advancing precision agriculture: The potential of deep learning for cereal plant head detection
Alireza Sanaeifar, Mahamed Lamine Guindo, Adel Bakhshipour, et al.
Computers and Electronics in Agriculture (2023) Vol. 209, pp. 107875-107875
Open Access | Times Cited: 31
Thermal imaging: The digital eye facilitates high-throughput phenotyping traits of plant growth and stress responses
Ting‐Chi Wen, Jianhong Li, Qi Wang, et al.
The Science of The Total Environment (2023) Vol. 899, pp. 165626-165626
Closed Access | Times Cited: 20
Estimation of the Bio-Parameters of Winter Wheat by Combining Feature Selection with Machine Learning Using Multi-Temporal Unmanned Aerial Vehicle Multispectral Images
Changsai Zhang, Yuan Yi, Lijuan Wang, et al.
Remote Sensing (2024) Vol. 16, Iss. 3, pp. 469-469
Open Access | Times Cited: 8
Genomics, Phenomics, and Machine Learning in Transforming Plant Research: Advancements and Challenges
Sheikh Mansoor, E.M.B.M. Karunathilake, Thai Thanh Tuan, et al.
Horticultural Plant Journal (2024)
Open Access | Times Cited: 8
Functional Phenotyping: Understanding the Dynamic Response of Plants to Drought Stress
Sheikh Mansoor, Yong Suk Chung
Current Plant Biology (2024) Vol. 38, pp. 100331-100331
Open Access | Times Cited: 8
A necessary considering factor for crop resistance: Precise regulation and effective utilization of beneficial microorganisms
Chenxi Kou, Feiyang Song, Dandan Li, et al.
New Crops (2024) Vol. 1, pp. 100023-100023
Open Access | Times Cited: 8
Advancements in Utilizing Image-Analysis Technology for Crop-Yield Estimation
Yu Feng, Ming Wang, Jun Xiao, et al.
Remote Sensing (2024) Vol. 16, Iss. 6, pp. 1003-1003
Open Access | Times Cited: 7
The application of hyperspectral imaging for wheat biotic and abiotic stress analysis: A review
Kun Zhang, Fangfang Yan, Ping Liu
Computers and Electronics in Agriculture (2024) Vol. 221, pp. 109008-109008
Closed Access | Times Cited: 7
Early-season maize responses to salt stress: Morpho-physiological, leaf reflectance, and mineral composition
Ranadheer Reddy Vennam, Raju Bheemanahalli, K. Raja Reddy, et al.
Journal of Agriculture and Food Research (2024) Vol. 15, pp. 100994-100994
Open Access | Times Cited: 6
A high-precision spatial and spectral imaging solution for accurate corn nitrogen content level prediction at early vegetative growth stages
Jinnuo Zhang, Xing Wei, Zhihang Song, et al.
Computers and Electronics in Agriculture (2025) Vol. 230, pp. 109940-109940
Closed Access
Automatic Classification of Olive Leaves Disease Based on Adaptive Neuro-Fuzzy Inference System with Hybrid Features
Iman Hussein AL-Qinani
International Journal of Scientific Research in Science Engineering and Technology (2025) Vol. 12, Iss. 1, pp. 136-147
Open Access
High-throughput proximal ground crop phenotyping systems – A comprehensive review
Z. Y. Rui, Zhe Zhang, Michael Zhang, et al.
Computers and Electronics in Agriculture (2024) Vol. 224, pp. 109108-109108
Closed Access | Times Cited: 5
Advances in the tea plants phenotyping using hyperspectral imaging technology
Baidong Luo, Hong-Wei Sun, Leilei Zhang, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 5
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: 3
Inversion of heavy metal copper content in soil-wheat systems using hyperspectral techniques and enrichment characteristics
Liang Zhong, Shengjie Yang, Xueyuan Chu, et al.
The Science of The Total Environment (2023) Vol. 907, pp. 168104-168104
Closed Access | Times Cited: 10
Genome-wide identification of KCS gene family in Carya illinoinensis and their roles under abiotic stress conditions
Haoyu Wang, Tengjie He, Chunying Huang, et al.
Scientia Horticulturae (2023) Vol. 321, pp. 112343-112343
Closed Access | Times Cited: 8
Estimation of Biochemical Pigment Content in Poplar Leaves Using Proximal Multispectral Imaging and Regression Modeling Combined with Feature Selection
Changsai Zhang, Yong Xue
Sensors (2023) Vol. 24, Iss. 1, pp. 217-217
Open Access | Times Cited: 8
Noninvasive Early Detection of Nutrient Deficiencies in Greenhouse-Grown Industrial Hemp Using Hyperspectral Imaging
Alireza Sanaeifar, Ce Yang, Min An, et al.
Remote Sensing (2024) Vol. 16, Iss. 1, pp. 187-187
Open Access | Times Cited: 2
Assessing Interactions between Nitrogen Supply and Leaf Blast in Rice by Hyperspectral Imaging
Angeline W. Maina, M. Becker, Erich-Christian Oerke
Remote Sensing (2024) Vol. 16, Iss. 6, pp. 939-939
Open Access | Times Cited: 2
Indirect Estimation of Heavy Metal Contamination in Rice Soil Using Spectral Techniques
Liang Zhong, Shengjie Yang, Yicheng Rong, et al.
Plants (2024) Vol. 13, Iss. 6, pp. 831-831
Open Access | Times Cited: 2
Performance of Machine Learning Models in Predicting Common Bean (Phaseolus vulgaris L.) Crop Nitrogen Using NIR Spectroscopy
Marcos Silva Tavares, Carlos Augusto Alves Cardoso Silva, Jamile Raquel Regazzo, et al.
(2024)
Open Access | Times Cited: 2
Estimation of Leaf Water Content of a Fruit Tree by In Situ Vis-NIR Spectroscopy Using Multiple Machine Learning Methods in Southern Xinjiang, China
Jintao Cui, Mamat Sawut, Nuerla Ailijiang, et al.
Agronomy (2024) Vol. 14, Iss. 8, pp. 1664-1664
Open Access | Times Cited: 2
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