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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:

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: 19

Showing 19 citing articles:

Hyperspectral Image Analysis and Machine Learning Techniques for Crop Disease Detection and Identification: A Review
Yimy Edisson García Vera, Mauricio Andrés Polochè Arango, Camilo A. Mendivelso-Fajardo, et al.
Sustainability (2024) Vol. 16, Iss. 14, pp. 6064-6064
Open Access | Times Cited: 20
A hyperspectral deep learning attention model for predicting lettuce chlorophyll content
Ziran Ye, Xiangfeng Tan, Mengdi Dai, et al.
Plant Methods (2024) Vol. 20, Iss. 1
Open Access | Times Cited: 17
Detection of Insect-Damaged Maize Seed Using Hyperspectral Imaging and Hybrid 1D-CNN-BiLSTM Model
Zheli Wang, Shuxiang Fan, Ting An, et al.
Infrared Physics & Technology (2024) Vol. 137, pp. 105208-105208
Closed Access | Times Cited: 12
Deep Learning-Enabled Dynamic Model for Nutrient Status Detection of Aquaponically Grown Plants
Mohamed Farag Taha, Hanping Mao, Samar Mousa, et al.
Agronomy (2024) Vol. 14, Iss. 10, pp. 2290-2290
Open Access | Times Cited: 5
Assessing Contents of Sugars, Vitamins, and Nutrients in Baby Leaf Lettuce from Hyperspectral Data with Machine Learning Models
Sulaymon Eshkabilov, Ivan Šimko
(2024)
Open Access | Times Cited: 4
A novel estimation method of grassland Fractional vegetation cover based on multi-sensor data fusion
Yuzhuo Zhang, Tianyi Wang, Yong You, et al.
Computers and Electronics in Agriculture (2024) Vol. 225, pp. 109310-109310
Closed Access | Times Cited: 4
Early Detection of Water Stress in Kauri Seedlings Using Multitemporal Hyperspectral Indices and Inverted Plant Traits
Mark Jayson B. Felix, Russell Main, Michael S. Watt, et al.
Remote Sensing (2025) Vol. 17, Iss. 3, pp. 463-463
Open Access
Improved MobileVit deep learning algorithm based on thermal images to identify the water state in cotton
Kaijun Jin, Jihong Zhang, Ningning Liu, et al.
Agricultural Water Management (2025) Vol. 310, pp. 109365-109365
Open Access
A Hybrid Method for Water Stress Evaluation of Rice with the Radiative Transfer Model and Multidimensional Imaging
Yufan Zhang, Xiuliang Jin, Liangsheng Shi, et al.
Plant Phenomics (2025), pp. 100016-100016
Open Access
Detection of Early Subtle Bruising in Strawberries Using VNIR Hyperspectral Imaging and Deep Learning
Rui Feng, Xin Han, Yubin Lan, et al.
Vibrational Spectroscopy (2025), pp. 103786-103786
Closed Access
Quantitative analysis and visualization of chemical compositions during shrimp flesh deterioration using hyperspectral imaging: A comparative study of machine learning and deep learning models
Qibing Xi, Qingmin Chen, Waqas Ahmad, et al.
Food Chemistry (2025), pp. 143997-143997
Closed Access
Deep Learning for Sustainable Agriculture: A Systematic Review on Applications in Lettuce Cultivation
Yinghe Qin, Yu-Hao Tu, Tao Li, et al.
Sustainability (2025) Vol. 17, Iss. 7, pp. 3190-3190
Open Access
Prediction of Citrus Leaf Water Content Based on Multi-Preprocessing Fusion and Improved 1-Dimensional Convolutional Neural Network
Shiqing Dou, Xuehong Ren, Xiangqian Qi, et al.
Horticulturae (2025) Vol. 11, Iss. 4, pp. 413-413
Open Access
Advancements in Non-Destructive Detection of Biochemical Traits in Plants Through Spectral Imaging-Based Algorithms: A Systematic Review
Aleksander Dabek, LG Mantovani, Susanna Mirabella, et al.
Algorithms (2025) Vol. 18, Iss. 5, pp. 255-255
Open Access
Rapid pH Value Detection in Secondary Fermentation of Maize Silage Using Hyperspectral Imaging
Yang Yu, Haiqing Tian, Kai Zhao, et al.
Agronomy (2024) Vol. 14, Iss. 6, pp. 1204-1204
Open Access | Times Cited: 3
Deep Learning and Reinforcement Learning Methods for Advancing Sustainable Agricultural and Natural Resource Management
Soumyashree Kar, J. Adinarayana
Studies in big data (2024), pp. 201-223
Closed Access | Times Cited: 2
Estimation of Intercepted Solar Radiation and Stem Water Potential in a Table Grape Vineyard Covered by Plastic Film Using Sentinel-2 Data: A Comparison of OLS-, MLR-, and ML-Based Methods
Alessandro Farbo, Nicola Gerardo Trombetta, L. de Palma, et al.
Plants (2024) Vol. 13, Iss. 9, pp. 1203-1203
Open Access | Times Cited: 1
Assessing Contents of Sugars, Vitamins, and Nutrients in Baby Leaf Lettuce from Hyperspectral Data with Machine Learning Models
Sulaymon Eshkabilov, Ivan Šimko
Agriculture (2024) Vol. 14, Iss. 6, pp. 834-834
Open Access | Times Cited: 1
Performance enhancement in hydroponic and soil compound prediction by deep learning techniques
Mustufa Haider Abidi, Sanjay Chintakindi, Ateekh Ur Rehman, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2101-e2101
Open Access | Times Cited: 1
Multimodal Data Fusion for Precise Lettuce Phenotype Estimation Using Deep Learning Algorithms
Lixin Hou, Yuxia Zhu, Mengke Wang, et al.
Plants (2024) Vol. 13, Iss. 22, pp. 3217-3217
Open Access | Times Cited: 1
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