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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:

A deep learning method for predicting lead content in oilseed rape leaves using fluorescence hyperspectral imaging
Xin Zhou, Chunjiang Zhao, Jun Sun, et al.
Food Chemistry (2022) Vol. 409, pp. 135251-135251
Closed Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

Applications of hyperspectral imaging technology in the food industry
Da‐Wen Sun, Hongbin Pu, Jingxiao Yu
Nature Reviews Electrical Engineering (2024) Vol. 1, Iss. 4, pp. 251-263
Closed Access | Times Cited: 25
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
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: 12
Recent advances of artificial intelligence in quantitative analysis of food quality and safety indicators: a review
Lunzhao Yi, Wenfu Wang, Yuhua Diao, et al.
TrAC Trends in Analytical Chemistry (2024) Vol. 180, pp. 117944-117944
Closed Access | Times Cited: 9
Machine learning approaches for monitoring environmental metal pollutants: Recent advances in source apportionment, detection, quantification, and risk assessment.
François Nkinahamira, Anqi Feng, Lijie Zhang, et al.
TrAC Trends in Analytical Chemistry (2024), pp. 117980-117980
Closed Access | Times Cited: 9
Terahertz spectra reconstructed using convolutional denoising autoencoder for identification of rice grains infested with Sitophilus oryzae at different growth stages
Hongbin Pu, Jingxiao Yu, Jie Luo, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2024) Vol. 311, pp. 124015-124015
Open Access | Times Cited: 7
A Method for Non-destructive Detection of Moisture Content in Oilseed Rape Leaves Using Hyperspectral Imaging Technology
Liu Yang, Xin Zhou, Jun Sun, et al.
Journal of Nondestructive Evaluation (2024) Vol. 43, Iss. 2
Closed Access | Times Cited: 7
Synthesis of nitrogen-doped fluorescent carbon dots for determination of nickel ions and morin from aqueous solution simultaneously
Changxin Gu, Yuan Jiao, Yifang Gao, et al.
Microchemical Journal (2024) Vol. 200, pp. 110317-110317
Closed Access | Times Cited: 6
Quantitative prediction and visualization of matcha color physicochemical indicators using hyperspectral microscope imaging technology
Dengshan Li, Bosoon Park, Rui Kang, et al.
Food Control (2024) Vol. 163, pp. 110531-110531
Closed Access | Times Cited: 6
Application of Visible/Near-Infrared Spectroscopy and Hyperspectral Imaging with Machine Learning for High-Throughput Plant Heavy Metal Stress Phenotyping: A Review
Yuanning Zhai, Lei Zhou, Hengnian Qi, et al.
Plant Phenomics (2023) Vol. 5
Open Access | Times Cited: 16
Deep learning-assisted fluorescence spectroscopy for food quality and safety analysis
Yuan Yuan, Zengtao Ji, Yanwei Fan, et al.
Trends in Food Science & Technology (2024), pp. 104821-104821
Closed Access | Times Cited: 5
Feasibility Study of Combining Hyperspectral Imaging with Deep Learning for Chestnut-Quality Detection
Qiongda Zhong, Zhang Hu, Shuqi Tang, et al.
Foods (2023) Vol. 12, Iss. 10, pp. 2089-2089
Open Access | Times Cited: 12
Combining Transfer Learning and Ensemble Algorithms for Improved Citrus Leaf Disease Classification
Hongyan Zhu, Dani Wang, Yuzhen Wei, et al.
Agriculture (2024) Vol. 14, Iss. 9, pp. 1549-1549
Open Access | Times Cited: 4
Overview of Deep Learning and Nondestructive Detection Technology for Quality Assessment of Tomatoes
Yuping Huang, Ziang Li, Zhaoying Bian, et al.
Foods (2025) Vol. 14, Iss. 2, pp. 286-286
Open Access
An efficient nondestructive detection method of rapeseed varieties based on hyperspectral imaging technology
Jian Wang, Xin Zhou, Liu Yang, et al.
Microchemical Journal (2025), pp. 112913-112913
Closed Access
A new method to identify the adulteration levels of Lonicerae Flos in Lonicerae Japonicae Flos using fluorescence hyperspectral imaging combined with optimized convolutional neural network
Sunli Cong, Jun Sun, Bing Zhang, et al.
Microchemical Journal (2025) Vol. 210, pp. 112974-112974
Closed Access
Machine learning: An effective tool for monitoring and ensuring food safety, quality, and nutrition
Xin Yang, Chi‐Tang Ho, Xiaoyu Gao, et al.
Food Chemistry (2025) Vol. 477, pp. 143391-143391
Closed Access
A novel method for online sex sorting of silkworm pupae (Bombyx mori) using computer vision combined with deep learning
Feng Guo, Wei Qin, Xinglan Fu, et al.
Journal of the Science of Food and Agriculture (2025)
Closed Access
A red-emitting fluorescent probe with large stokes shift for monitoring of viscosity and polarity and its application in bioimaging, distinguishing cancer cells
Xu Tang, Yaqin Li, Yunlong Han, et al.
Journal of Molecular Structure (2025), pp. 141976-141976
Closed Access
Fluorine–Nitrogen Codoped Carbon Dots for Visualization Imaging of Nucleic Acids via Two-Photon Fluorescence Lifetime Microscopy
Yong Guo, Zhenlong Huang, Luwei Wang, et al.
Analytical Chemistry (2025)
Closed Access
Nondestructive detection of cadmium content in oilseed rape leaves under different silicon environments using deep transfer learning and Vis-NIR hyperspectral imaging
Xin Zhou, Liu Yang, Chunjiang Zhao, et al.
Food Chemistry (2025) Vol. 479, pp. 143799-143799
Closed Access
Application of Machine Learning for Aboveground Biomass Modeling in Tropical and Temperate Forests from Airborne Hyperspectral Imagery
Patrick Osei Darko, Samy Metari, J. Pablo Arroyo‐Mora, et al.
Forests (2025) Vol. 16, Iss. 3, pp. 477-477
Open Access
Food Freshness Prediction Platform Utilizing Deep Learning-Based Multimodal Sensor Fusion of Volatile Organic Compounds and Moisture Distribution
Zepeng Gu, Qinyan Xu, Xiaoyao Wang, et al.
ACS Sensors (2025)
Closed Access
Applications of Artificial Intelligence in Food Industry
Heera Jayan, Weiqing Min, Zhiming Guo
Foods (2025) Vol. 14, Iss. 7, pp. 1241-1241
Open Access
Transforming Apple Grading: Standards Survey and Deep Learning Insights
Zhe Feng, Zhu Li-sheng, Ruiyun Zhou, et al.
Food and Bioprocess Technology (2025)
Closed Access
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