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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:

Applications of hyperspectral imaging in plant phenotyping
Rijad Sarić, Viet Duc Nguyen, Timothy Burge, et al.
Trends in Plant Science (2022) Vol. 27, Iss. 3, pp. 301-315
Closed Access | Times Cited: 147

Showing 1-25 of 147 citing articles:

A review on the combination of deep learning techniques with proximal hyperspectral images in agriculture
Jayme Garcia Arnal Barbedo
Computers and Electronics in Agriculture (2023) Vol. 210, pp. 107920-107920
Closed Access | Times Cited: 64
A research review on deep learning combined with hyperspectral Imaging in multiscale agricultural sensing
Luyu Shuai, Zhiyong Li, Ziao Chen, et al.
Computers and Electronics in Agriculture (2024) Vol. 217, pp. 108577-108577
Closed Access | Times Cited: 35
Drone‐based imaging sensors, techniques, and applications in plant phenotyping for crop breeding: A comprehensive review
Boubacar Gano, Sourav Bhadra, Justin M. Vilbig, et al.
The Plant Phenome Journal (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 17
Vertical farming goes dynamic: optimizing resource use efficiency, product quality, and energy costs
Elias Kaiser, Paul Kusuma, Silvère Vialet‐Chabrand, et al.
Frontiers in Science (2024) Vol. 2
Open Access | Times Cited: 17
A comprehensive review of deep learning-based hyperspectral image reconstruction for agri-food quality appraisal
Md. Toukir Ahmed, Ocean Monjur, Alin Khaliduzzaman, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 4
Open Access | Times Cited: 4
Sustaining yield and nutritional quality of peanuts in harsh environments: Physiological and molecular basis of drought and heat stress tolerance
Naveen Puppala, Spurthi N. Nayak, Álvaro Sanz‐Sáez, et al.
Frontiers in Genetics (2023) Vol. 14
Open Access | Times Cited: 40
Current status and trends in forest genomics
Dulal Borthakur, Victor Busov, Hieu X. Cao, et al.
Forestry Research (2022) Vol. 2, Iss. 1
Open Access | Times Cited: 38
Cheap, cost-effective, and quick stress biomarkers for drought stress detection and monitoring in plants
Sergi Munné‐Bosch, Sabina Villadangos
Trends in Plant Science (2023) Vol. 28, Iss. 5, pp. 527-536
Closed Access | Times Cited: 38
Integrating artificial intelligence and high-throughput phenotyping for crop improvement
Mansoor Sheikh, Farooq Iqra, Hamadani Ambreen, et al.
Journal of Integrative Agriculture (2023) Vol. 23, Iss. 6, pp. 1787-1802
Open Access | Times Cited: 38
Image-Based High-Throughput Phenotyping in Horticultural Crops
Alebel Mekuriaw Abebe, Younguk Kim, Jae-Young Kim, et al.
Plants (2023) Vol. 12, Iss. 10, pp. 2061-2061
Open Access | Times Cited: 33
Challenges facing sustainable protein production: Opportunities for cereals
Luqman Bin Safdar, J. Foulkes, Friedrich H. Kleiner, et al.
Plant Communications (2023) Vol. 4, Iss. 6, pp. 100716-100716
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: 24
UAV-borne hyperspectral estimation of nitrogen content in tobacco leaves based on ensemble learning methods
Mingzheng Zhang, Tianen Chen, Xiaohe Gu, et al.
Computers and Electronics in Agriculture (2023) Vol. 211, pp. 108008-108008
Closed Access | Times Cited: 23
Modern Plant Breeding Techniques in Crop Improvement and Genetic Diversity: From Molecular Markers and Gene Editing to Artificial Intelligence—A Critical Review
Lixia Sun, Mingyu Lai, Fozia Ghouri, et al.
Plants (2024) Vol. 13, Iss. 19, pp. 2676-2676
Open Access | Times Cited: 13
Unlocking plant secrets: A systematic review of 3D imaging in plant phenotyping techniques
Muhammad Salman Akhtar, Zuhair Zafar, Raheel Nawaz, et al.
Computers and Electronics in Agriculture (2024) Vol. 222, pp. 109033-109033
Closed Access | Times Cited: 12
Review of Crop Phenotyping in Field Plot Experiments Using UAV-Mounted Sensors and Algorithms
Takashi Tanaka, Sheng Wang, Johannes Ravn Jørgensen, et al.
Drones (2024) Vol. 8, Iss. 6, pp. 212-212
Open Access | Times Cited: 11
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: 9
A systematic review on precision agriculture applied to sunflowers, the role of hyperspectral imaging
Luana Centorame, Alessio Ilari, Andrea Gatto, et al.
Computers and Electronics in Agriculture (2024) Vol. 222, pp. 109097-109097
Open Access | Times Cited: 8
Advancing food security through drone-based hyperspectral imaging: applications in precision agriculture and post-harvest management
Debashish Kar, Sambandh Bhusan Dhal
Environmental Monitoring and Assessment (2025) Vol. 197, Iss. 3
Closed Access | Times Cited: 1
End-to-End Fusion of Hyperspectral and Chlorophyll Fluorescence Imaging to Identify Rice Stresses
Chu Zhang, Lei Zhou, Qinlin Xiao, et al.
Plant Phenomics (2022) Vol. 2022
Open Access | Times Cited: 30
Are unmanned aerial vehicle-based hyperspectral imaging and machine learning advancing crop science?
Alessandro Matese, Joby M. Prince Czarnecki, Sathishkumar Samiappan, et al.
Trends in Plant Science (2023) Vol. 29, Iss. 2, pp. 196-209
Open Access | Times Cited: 21
Research of intelligent reasoning system of Arabidopsis thaliana phenotype based on automated multi-task machine learning
Peisen Yuan, Shuning Xu, Zhaoyu Zhai, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 20
Smart Horticulture as an Emerging Interdisciplinary Field Combining Novel Solutions: Past Development, Current Challenges, and Future Perspectives
Moran Zhang, Yutong Han, Dongping Li, et al.
Horticultural Plant Journal (2023) Vol. 10, Iss. 6, pp. 1257-1273
Open Access | Times Cited: 20
Multi‐omics analyses reveal stone cell distribution pattern in pear fruit
Xin Gong, Kaijie Qi, Juanli Chen, et al.
The Plant Journal (2022) Vol. 113, Iss. 3, pp. 626-642
Closed Access | Times Cited: 24
A Disjoint Samples-Based 3D-CNN With Active Transfer Learning for Hyperspectral Image Classification
Muhammad Ahmad, Usman Ghous, Danfeng Hong, et al.
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-16
Closed Access | Times Cited: 23
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