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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:

Moisture detection of single corn seed based on hyperspectral imaging and deep learning
Le Zhang, Qian Zhang, Jingzhu Wu, et al.
Infrared Physics & Technology (2022) Vol. 125, pp. 104279-104279
Closed Access | Times Cited: 30

Showing 1-25 of 30 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
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: 19
Low temperature response index for monitoring freezing injury of tea plant
Yilin Mao, He Li, Yu Wang, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 23
Identification and Classification of Coix seed Storage Years Based on Hyperspectral Imaging Technology Combined with Deep Learning
Ruibin Bai, Zhou Jun-hui, Siman Wang, et al.
Foods (2024) Vol. 13, Iss. 3, pp. 498-498
Open Access | Times Cited: 11
A general deep learning model for predicting and classifying pea protein content via visible and near-infrared spectroscopy
Tianpu Xiao, Chunji Xie, Li Yang, et al.
Food Chemistry (2025) Vol. 478, pp. 143617-143617
Closed Access | Times Cited: 1
Vegetable oils: Classification, quality analysis, nutritional value and lipidomics applications
Xiang Fei, Caixia Ding, Miao Wang, et al.
Food Chemistry (2023) Vol. 439, pp. 138059-138059
Closed Access | Times Cited: 21
Detection of moisture content and size of pumpkin seeds based on hyperspectral reflection and transmission imaging techniques
Hai Yin, Baiheng Xie, Bijuan Chen, et al.
Journal of Food Composition and Analysis (2023) Vol. 124, pp. 105651-105651
Closed Access | Times Cited: 17
The Application of Hyperspectral Imaging Technologies for the Prediction and Measurement of the Moisture Content of Various Agricultural Crops during the Drying Process
Ebrahim Taghinezhad, Antoni Szumny, Adam Figiel
Molecules (2023) Vol. 28, Iss. 7, pp. 2930-2930
Open Access | Times Cited: 15
Quantitative detection of moisture content of corn by olfactory visualization technology
Mingxing Zhao, Tao Liu, Hui Jiang
Microchemical Journal (2024) Vol. 199, pp. 109937-109937
Closed Access | Times Cited: 5
Supplier selection and order allocation planning using predictive analytics and multi-objective programming
Samiul Islam, Saman Hassanzadeh Amin, Leslie J. Wardley
Computers & Industrial Engineering (2022) Vol. 174, pp. 108825-108825
Closed Access | Times Cited: 22
Nondestructive prediction of pepper seed viability using single and fusion information of hyperspectral and X-ray images
Suk-Ju Hong, Seongmin Park, Ahyeong Lee, et al.
Sensors and Actuators A Physical (2022) Vol. 350, pp. 114151-114151
Closed Access | Times Cited: 19
Application of deep learning for high-throughput phenotyping of seed: a review
Jin Chen, Lei Zhou, Yuanyuan Pu, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 3
Open Access
Seed Protein Content Estimation with Bench-Top Hyperspectral Imaging and Attentive Convolutional Neural Network Models
Imran Abdalla Said, Vasit Sagan, Kyle T. Peterson, et al.
Sensors (2025) Vol. 25, Iss. 2, pp. 303-303
Open Access
Prediction of moisture variation during fish fillet drying using hyperspectral imaging combined with deep learning technology
Kai Yan, Mingqian Tan, Mengda Li, et al.
Drying Technology (2025), pp. 1-11
Closed Access
A cross‐scale transfer learning framework: prediction of SOD activity from leaf microstructure to macroscopic hyperspectral imaging
Songlei Wang, Yan Yan, Yao Zhang, et al.
Plant Biotechnology Journal (2025)
Open Access
Corn Seed Quality Detection Based on Spectroscopy and Its Imaging Technology: A Review
Jun Zhang, Limin Dai, Zhiwen Huang, et al.
Agriculture (2025) Vol. 15, Iss. 4, pp. 390-390
Open Access
CLNet: a fusion network capturing spectral features and wavelength relationships for predicting sorghum protein and moisture content
Xinjun Hu, Ming Dai, A. Li, et al.
Journal of Food Composition and Analysis (2025), pp. 107412-107412
Closed Access
CHIP‐NMC: An Application for Corn Hybrid and Inbred Prediction of Nixtamalization Moisture Content
Michael J. Burns, Sydney Berry, M. Loftus, et al.
Cereal Chemistry (2025)
Open Access
Estimation Model for Maize Multi-components Based on Hyperspectral Data
Hang Xue, Xiping Xu, Xianghong Meng
(2024)
Open Access | Times Cited: 3
Rapid prediction and visualization of safe moisture content in alfalfa seeds based on multispectral imaging technology
Shuangfeng Yang, Zhicheng Jia, Kun Yi, et al.
Industrial Crops and Products (2024) Vol. 222, pp. 119448-119448
Closed Access | Times Cited: 3
Estimation Model for Maize Multi-Components Based on Hyperspectral Data
Hang Xue, Xiping Xu, Xiang Meng
Sensors (2024) Vol. 24, Iss. 18, pp. 6111-6111
Open Access | Times Cited: 3
Determination and visualization of moisture content in Camellia oleifera seeds rapidly based on hyperspectral imaging combined with deep learning
Weidong Yuan, Hongping Zhou, Cong Zhang, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2024) Vol. 330, pp. 125676-125676
Closed Access | Times Cited: 2
The rapid determination of the fatty acid content of rice by combining hyperspectral imaging and integrated learning models
Fei Xue, Kangling He, Yuexiang Huang, et al.
Vibrational Spectroscopy (2023) Vol. 129, pp. 103609-103609
Closed Access | Times Cited: 6
Real-time determination of moisture content of potato slices during drying using long short-term memory from image morphometric parameters
Mousumi Sabat, Nachiket Kotwaliwale, Pramod Shelake
Food and Bioproducts Processing (2023) Vol. 140, pp. 132-143
Closed Access | Times Cited: 5
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