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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:

Efficient extraction of deep image features using convolutional neural network (CNN) for applications in detecting and analysing complex food matrices
Yao Liu, Hongbin Pu, Da‐Wen Sun
Trends in Food Science & Technology (2021) Vol. 113, pp. 193-204
Closed Access | Times Cited: 231

Showing 1-25 of 231 citing articles:

Applications of machine learning techniques for enhancing nondestructive food quality and safety detection
Yuandong Lin, Ji Ma, Qijun Wang, et al.
Critical Reviews in Food Science and Nutrition (2022) Vol. 63, Iss. 12, pp. 1649-1669
Closed Access | Times Cited: 95
Artificial Intelligence in Food Safety: A Decade Review and Bibliometric Analysis
Zhe Liu, Shuzhe Wang, Yudong Zhang, et al.
Foods (2023) Vol. 12, Iss. 6, pp. 1242-1242
Open Access | Times Cited: 58
Deep learning in food authenticity: Recent advances and future trends
Zhuowen Deng, Tao Wang, Yun Zheng, et al.
Trends in Food Science & Technology (2024) Vol. 144, pp. 104344-104344
Closed Access | Times Cited: 46
Artificial intelligence-based techniques for adulteration and defect detections in food and agricultural industry: A review
Suhaili Othman, Nidhi Rajesh Mavani, M.A. Hussain, et al.
Journal of Agriculture and Food Research (2023) Vol. 12, pp. 100590-100590
Open Access | Times Cited: 43
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: 20
A Short Review on Supervised Machine Learning and Deep Learning Techniques in Computer Vision
Ahmed Adil Nafea, Saeed Amer Alameri, Russel R. Majeed, et al.
Deleted Journal (2024) Vol. 2024, pp. 48-55
Open Access | Times Cited: 20
Classifying the freshness of large yellow croaker (Larimichthys crocea) at 12- and 24-hour intervals using computer vision technique and convolutional neural network
Yao Zheng, Quantong Zhang, Xin Wang, et al.
Smart Agricultural Technology (2025) Vol. 10, pp. 100767-100767
Open Access | Times Cited: 1
Artificial Neural Networks in Agriculture, the core of artificial intelligence: What, When, and Why
Salvador Castillo‐Gironés, Sandra Munera, Marcelino Martı́nez-Sober, et al.
Computers and Electronics in Agriculture (2025) Vol. 230, pp. 109938-109938
Open Access | Times Cited: 1
A Comprehensive Survey of Deep Learning Approaches in Image Processing
Μαρία Τρίγκα, Ηλίας Δρίτσας
Sensors (2025) Vol. 25, Iss. 2, pp. 531-531
Open Access | Times Cited: 1
Applications of Artificial Intelligence, Deep Learning, and Machine Learning to Support the Analysis of Microscopic Images of Cells and Tissues
Muhammad Ali, Viviana Benfante, Ghazal Basirinia, et al.
Journal of Imaging (2025) Vol. 11, Iss. 2, pp. 59-59
Open Access | Times Cited: 1
A review on vision-based analysis for automatic dietary assessment
Wei Wang, Weiqing Min, Tianhao Li, et al.
Trends in Food Science & Technology (2022) Vol. 122, pp. 223-237
Open Access | Times Cited: 57
Applications of knowledge graphs for food science and industry
Weiqing Min, Chunlin Liu, Leyi Xu, et al.
Patterns (2022) Vol. 3, Iss. 5, pp. 100484-100484
Open Access | Times Cited: 52
Identification and quantification of adulterated honey by Raman spectroscopy combined with convolutional neural network and chemometrics
Xijun Wu, Baoran Xu, Renqi Ma, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2022) Vol. 274, pp. 121133-121133
Closed Access | Times Cited: 43
A Survey of Convolutional Neural Network in Breast Cancer
Ziquan Zhu, Shuihua Wang‎, Yudong Zhang
Computer Modeling in Engineering & Sciences (2022) Vol. 136, Iss. 3, pp. 2127-2172
Open Access | Times Cited: 40
Recent advances in shelf life prediction models for monitoring food quality
Fangchao Cui, Shiwei Zheng, Dangfeng Wang, et al.
Comprehensive Reviews in Food Science and Food Safety (2023) Vol. 22, Iss. 2, pp. 1257-1284
Closed Access | Times Cited: 35
Multi-task convolutional neural network for simultaneous monitoring of lipid and protein oxidative damage in frozen-thawed pork using hyperspectral imaging
Jiehong Cheng, Jun Sun, Kunshan Yao, et al.
Meat Science (2023) Vol. 201, pp. 109196-109196
Closed Access | Times Cited: 32
Distinguishing fresh and frozen-thawed beef using hyperspectral imaging technology combined with convolutional neural networks
Hongbin Pu, Jingxiao Yu, Da‐Wen Sun, et al.
Microchemical Journal (2023) Vol. 189, pp. 108559-108559
Closed Access | Times Cited: 26
Prediction of fat content in salmon fillets based on hyperspectral imaging and residual attention convolution neural network
Wei Luo, Jing Zhang, Hai‐Hua Huang, et al.
LWT (2023) Vol. 184, pp. 115018-115018
Open Access | Times Cited: 25
Progress in the Application of CNN-Based Image Classification and Recognition in Whole Crop Growth Cycles
Feng Yu, Qian Zhang, Jun Xiao, et al.
Remote Sensing (2023) Vol. 15, Iss. 12, pp. 2988-2988
Open Access | Times Cited: 23
Vision-based food nutrition estimation via RGB-D fusion network
Wenjing Shao, Weiqing Min, Sujuan Hou, et al.
Food Chemistry (2023) Vol. 424, pp. 136309-136309
Closed Access | Times Cited: 21
Adulteration quantification of cheap honey in high-quality Manuka honey by two-dimensional correlation spectroscopy combined with deep learning
Xi-Jun Wu, Baoran Xu, Hao Luo, et al.
Food Control (2023) Vol. 154, pp. 110010-110010
Closed Access | Times Cited: 21
Principles and applications of convolutional neural network for spectral analysis in food quality evaluation: A review
Na Luo, Daming Xu, Bin Xing, et al.
Journal of Food Composition and Analysis (2024) Vol. 128, pp. 105996-105996
Closed Access | Times Cited: 14
The formation mechanism, analysis strategies and regulation measures of cereal aroma: A review
Yao Feng, Hongwei Cao, Hongdong Song, et al.
Trends in Food Science & Technology (2024) Vol. 147, pp. 104452-104452
Closed Access | Times Cited: 10
State of health estimation of lithium-ion battery based on CNN–WNN–WLSTM
Qiongrong Yao, Xianhua Song, Wei Xie
Complex & Intelligent Systems (2024) Vol. 10, Iss. 2, pp. 2919-2936
Open Access | Times Cited: 8
Nondestructive determination of edible quality and watercore degree of apples by portable Vis/NIR transmittance system combined with CARS-CNN
Zhiming Guo, Yan Zou, Chanjun Sun, et al.
Journal of Food Measurement & Characterization (2024) Vol. 18, Iss. 6, pp. 4058-4073
Closed Access | Times Cited: 8
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