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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:

Grading and fraud detection of saffron via learning-to-augment incorporated Inception-v4 CNN
Mohammad Momeny, Ali Asghar Neshat, Ahmad Jahanbakhshi, et al.
Food Control (2022) Vol. 147, pp. 109554-109554
Closed Access | Times Cited: 47

Showing 1-25 of 47 citing articles:

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
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
Leveraging artificial intelligence and advanced food processing techniques for enhanced food safety, quality, and security: a comprehensive review
Sambandh Bhusan Dhal, Debashish Kar
Deleted Journal (2025) Vol. 7, Iss. 1
Open Access | Times Cited: 2
Intelligent detection and waste control of hawthorn fruit based on ripening level using machine vision system and deep learning techniques
Rahim Azadnia, Saman Fouladi, Ahmad Jahanbakhshi
Results in Engineering (2023) Vol. 17, pp. 100891-100891
Open Access | Times Cited: 34
A step forward in food science, technology and industry using artificial intelligence
Rezvan Esmaeily, Mohammad Amin Razavi, Seyed Hadi Razavi
Trends in Food Science & Technology (2023) Vol. 143, pp. 104286-104286
Closed Access | Times Cited: 28
Diagnosing the spores of tomato fungal diseases using microscopic image processing and machine learning
Seyed Mohamad Javidan, Ahmad Banakar, Keyvan Asefpour Vakilian, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 26, pp. 67283-67301
Closed Access | Times Cited: 9
Rapid discrimination of xiaokeng green tea geographical origin using surface-enhanced Raman spectroscopy coupled with chemometrics
Yingqi Chen, Shiya Gan, Xiaoyi Zhao, et al.
LWT (2024) Vol. 197, pp. 115867-115867
Open Access | Times Cited: 7
Advancements in machine visions for fruit sorting and grading: A bibliometric analysis, systematic review, and future research directions
Benjamin Oluwamuyiwa Olorunfemi, Nnamdi Nwulu, Oluwafemi Ayodeji Adebo, et al.
Journal of Agriculture and Food Research (2024) Vol. 16, pp. 101154-101154
Open Access | Times Cited: 7
Medicinal and poisonous plants classification from visual characteristics of leaves using computer vision and deep neural networks
Rahim Azadnia, Faramarz Noei-Khodabadi, Azad Moloudzadeh, et al.
Ecological Informatics (2024) Vol. 82, pp. 102683-102683
Open Access | Times Cited: 7
Smart spraying technologies for precision weed management: A review
V. Vijayakumar, Yiannis Ampatzidis, John K. Schueller, et al.
Smart Agricultural Technology (2023) Vol. 6, pp. 100337-100337
Open Access | Times Cited: 19
Application of Convolutional Neural Networks and Recurrent Neural Networks in Food Safety
Haohan Ding, Haoke Hou, Long Wang, et al.
Foods (2025) Vol. 14, Iss. 2, pp. 247-247
Open Access
Detection of camellia oil adulteration based on near-infrared spectroscopy and smartphone combined with deep learning and multimodal fusion
Zhuowen Deng, Yun Zheng, Lan Tao, et al.
Food Chemistry (2025) Vol. 472, pp. 142930-142930
Closed Access
Chrysanthemum classification method integrating deep visual features from both the front and back sides
Yifan Chen, Xichen Yang, Yan Hui, et al.
Frontiers in Plant Science (2025) Vol. 15
Open Access
Bidirectional feature fusion via cross-attention transformer for chrysanthemum classification
Yifan Chen, Xichen Yang, Yan Hui, et al.
Pattern Analysis and Applications (2025) Vol. 28, Iss. 2
Closed Access
Sniffing out adulteration in saffron: Detection methods and health risks
Ashish Raina, Sanjana Kaul, Manoj K. Dhar
Food Control (2023) Vol. 155, pp. 110042-110042
Closed Access | Times Cited: 14
Integrative deep learning framework predicts lipidomics-based investigation of preservatives on meat nutritional biomarkers and metabolic pathways
Wei Jia, Aiai Guo, Wenwen Bian, et al.
Critical Reviews in Food Science and Nutrition (2023), pp. 1-15
Closed Access | Times Cited: 12
Detection of small foreign objects in Pu-erh sun-dried green tea: An enhanced YOLOv8 neural network model based on deep Learning
Zejun Wang, Shihao Zhang, Yaping Chen, et al.
Food Control (2024), pp. 110890-110890
Closed Access | Times Cited: 4
Enhancing solar photovoltaic modules quality assurance through convolutional neural network-aided automated defect detection
Sharmarke Hassan, Mahmoud Dhimish
Renewable Energy (2023) Vol. 219, pp. 119389-119389
Open Access | Times Cited: 10
The Classification of Aflatoxin Contamination Level in Cocoa Beans using Fluorescence Imaging and Deep learning
Muhammad Syukri Sadimantara, Bambang Dwi Argo, Sucipto Sucipto, et al.
Journal of Robotics and Control (JRC) (2024) Vol. 5, Iss. 1, pp. 82-91
Open Access | Times Cited: 3
Vision-based strawberry classification using generalized and robust deep networks
Hossein Azizi, Ezzatollah Askari Asli‐Ardeh, Ahmad Jahanbakhshi, et al.
Journal of Agriculture and Food Research (2023) Vol. 15, pp. 100931-100931
Open Access | Times Cited: 9
Patient's airway monitoring during cardiopulmonary resuscitation using deep networks
Mahmoud Marhamati, Behnam Dorry, Shima Imannezhad, et al.
Medical Engineering & Physics (2024) Vol. 129, pp. 104179-104179
Open Access | Times Cited: 2
Enhanced Hybrid Vision Transformer with Multi-Scale Feature Integration and Patch Dropping for Facial Expression Recognition
Nianfeng Li, Yongyuan Huang, Zhenyan Wang, et al.
Sensors (2024) Vol. 24, Iss. 13, pp. 4153-4153
Open Access | Times Cited: 2
Machine vision combined with deep learning–based approaches for food authentication: An integrative review and new insights
Che Shen, Ran Wang, Hira Nawazish, et al.
Comprehensive Reviews in Food Science and Food Safety (2024) Vol. 23, Iss. 6
Closed Access | Times Cited: 2
Detection and Classification of Saffron Adulterants by Vis-Nir Imaging, Chemical Analysis, and Soft Computing
Pejman Alighaleh, Reyhaneh Pakdel, Narges Ghanei Ghooshkhaneh, et al.
Foods (2023) Vol. 12, Iss. 11, pp. 2192-2192
Open Access | Times Cited: 6
Coffee Bean Grading Based on Weight Estimation Using Densenet121 Model
Bipin Nair B J, Abrav Nanda K M, A. S. Shalwin, et al.
2022 6th International Conference On Computing, Communication, Control And Automation (ICCUBEA (2023), pp. 1-6
Closed Access | Times Cited: 6
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