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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:

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: 29

Showing 1-25 of 29 citing articles:

Early-Stage Detection of Biotic and Abiotic Stress on Plants by Chlorophyll Fluorescence Imaging Analysis
Julietta Moustaka, Michael Moustakas
Biosensors (2023) Vol. 13, Iss. 8, pp. 796-796
Open Access | Times Cited: 53
An Effective Image-Based Tomato Leaf Disease Segmentation Method Using MC-UNet
Yubao Deng, Haoran Xi, Guoxiong Zhou, et al.
Plant Phenomics (2023) Vol. 5
Open Access | Times Cited: 39
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: 32
Deep leaning in food safety and authenticity detection: An integrative review and future prospects
Yan Wang, Hui‐Wen Gu, Xiaoli Yin, et al.
Trends in Food Science & Technology (2024) Vol. 146, pp. 104396-104396
Closed Access | Times Cited: 17
Early Drought Stress Warning in Plants: Color Pictures of Photosystem II Photochemistry
Michael Moustakas, Ilektra Sperdouli, Julietta Moustaka
Climate (2022) Vol. 10, Iss. 11, pp. 179-179
Open Access | Times Cited: 46
An Early and Smart Detection of Corn Plant Leaf Diseases Using IoT and Deep Learning Multi-Models
Rubina Rashid, Waqar Aslam, Romana Aziz, et al.
IEEE Access (2024) Vol. 12, pp. 23149-23162
Open Access | Times Cited: 13
Determination of lead content in oilseed rape leaves in silicon-free and silicon environments based on deep transfer learning and fluorescence hyperspectral imaging
Xin Zhou, Chunjiang Zhao, Jun Sun, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2024) Vol. 311, pp. 123991-123991
Closed Access | Times Cited: 9
Deep learning models based on hyperspectral data and time-series phenotypes for predicting quality attributes in lettuces under water stress
S.K. Yu, Jiangchuan Fan, Xianju Lu, et al.
Computers and Electronics in Agriculture (2023) Vol. 211, pp. 108034-108034
Closed Access | Times Cited: 16
End-to-end deep fusion of hyperspectral imaging and computer vision techniques for rapid detection of wheat seed quality
Tingting Zhang, Jing Li, Juxiu Tong, et al.
Artificial Intelligence in Agriculture (2025)
Open Access
Monitoring of spatial heterogeneity of chlorophyll fluorescence of cotton leaves at the early stage of Verticillium wilt based on spectral imaging
Mi Yang, Yiru Ma, Hong Ren, et al.
Industrial Crops and Products (2025) Vol. 226, pp. 120663-120663
Open Access
Genotype and phenotype data standardization, utilization and integration in the big data era for agricultural sciences
Cecilia Deng, Sushma Naithani, Sunita Kumari, et al.
Database (2023) Vol. 2023
Open Access | Times Cited: 13
Machine learning-based non-destructive terahertz detection of seed quality in peanut
Weibin Jiang, Jun Wang, Ruiquan Lin, et al.
Food Chemistry X (2024) Vol. 23, pp. 101675-101675
Open Access | Times Cited: 4
Advanced Deep Learning Techniques for Battery Thermal Management in New Energy Vehicles
Shaotong Qi, Yubo Cheng, Zhiyuan Li, et al.
Energies (2024) Vol. 17, Iss. 16, pp. 4132-4132
Open Access | Times Cited: 4
Phenotypic Analysis of Diseased Plant Leaves Using Supervised and Weakly Supervised Deep Learning
Lei Zhou, Qinlin Xiao, Mohamed Farag Taha, et al.
Plant Phenomics (2022) Vol. 5
Open Access | Times Cited: 19
Early diagnosis of greenhouse cucumber downy mildew in seedling stage using chlorophyll fluorescence imaging technology
Xiaohong Chen, Dongyuan Shi, Hengwei Zhang, et al.
Biosystems Engineering (2024) Vol. 242, pp. 107-122
Closed Access | Times Cited: 3
Hyperspectral Indices Developed from Fractional-Order Derivative Spectra Improved Estimation of Leaf Chlorophyll Fluorescence Parameters
Jie Zhuang, Quan Wang
Plants (2024) Vol. 13, Iss. 14, pp. 1923-1923
Open Access | Times Cited: 3
TrichomeYOLO: A Neural Network for Automatic Maize Trichome Counting
Jie Xu, Jia Yao, Hang Zhai, et al.
Plant Phenomics (2023) Vol. 5
Open Access | Times Cited: 8
Non-destructive identification of Pseudostellaria heterophylla from different geographical origins by Vis/NIR and SWIR hyperspectral imaging techniques
Tingting Zhang, Lu Long, Yihu Song, et al.
Frontiers in Plant Science (2024) Vol. 14
Open Access | Times Cited: 2
Spectrum imaging for phenotypic detection of greenhouse vegetables: A review
Xiangquan Gao, Shenghong Li, Yakai He, et al.
Computers and Electronics in Agriculture (2024) Vol. 225, pp. 109346-109346
Closed Access | Times Cited: 2
Optical imaging spectroscopy coupled with machine learning for detecting heavy metal of plants: A review
Junmeng Li, Jie Ren, Ruiyan Cui, et al.
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 9
Agricultural Sciences in the Big Data Era: Genotype and Phenotype Data Standardization, Utilization and Integration
Cecilia Deng, Sushma Naithani, Sunita Kumari, et al.
(2023)
Open Access | Times Cited: 4
Fast identification of geographical origins of Baishao (Radix Paeoniae Alba) using the deep fusion of LIBS spectrum and ablation image
Jiyu Peng, Ming Lin, Weiyue Xie, et al.
Microchemical Journal (2023) Vol. 194, pp. 109337-109337
Closed Access | Times Cited: 4
Leaf image segmentation based on DeepLabV3+ and channel attention mechanism
Xin Jiang, Menglin Chen, Wenbo Wang, et al.
International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2021) (2024)
Closed Access
A Novel Deep Learning Model with Optimized Sparrow Search for Efficient Plant Stress Identification
Manjit Kaur, Upinder Kaur, Osamah Ibrahim Khalaf, et al.
Research Square (Research Square) (2024)
Open Access
Non-destructive estimation of needle leaf chlorophyll and water contents in Chinese fir seedlings based on hyperspectral reflectance spectra
Dong Xing, Penghui Sun, Yulin Wang, et al.
Forestry Research (2024) Vol. 4, Iss. 1
Open Access
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