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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:

Application of Machine Vision System in Food Detection
Zhifei Xiao, Jilai Wang, Lu Han, et al.
Frontiers in Nutrition (2022) Vol. 9
Open Access | Times Cited: 40

Showing 1-25 of 40 citing articles:

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: 54
HACCP, quality, and food safety management in food and agricultural systems
Chinaza Godswill Awuchi
Cogent Food & Agriculture (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 51
Intelligent System/Equipment for Quality Deterioration Detection of Fresh Food: Recent Advances and Application
Dianyuan Wang, Min Zhang, Qiyong Jiang, et al.
Foods (2024) Vol. 13, Iss. 11, pp. 1662-1662
Open Access | Times Cited: 7
Applications of imaging systems for the assessment of quality characteristics of bread and other baked goods: A review
Sunday J. Olakanmi, Digvir S. Jayas, Jitendra Paliwal
Comprehensive Reviews in Food Science and Food Safety (2023) Vol. 22, Iss. 3, pp. 1817-1838
Open Access | Times Cited: 16
Applications of artificial intelligence (AI) in managing food quality and ensuring global food security
Ali Ikram, Hassan Mehmood, Muhammad Tayyab Arshad, et al.
CyTA - Journal of Food (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 6
Machine Vision-Based Surface Defect Detection Study for Ceramic 3D Printing
Jing Zhou, Haili Li, Lu Lin, et al.
Machines (2024) Vol. 12, Iss. 3, pp. 166-166
Open Access | Times Cited: 5
Electronic Sensing Technologies in Food Quality Assessment: A Comprehensive Literature Review
Marian Gil, M. Rudy, Paulina Duma‐Kocan, et al.
Applied Sciences (2025) Vol. 15, Iss. 3, pp. 1530-1530
Open Access
An Industrial System for Inspecting Product Quality Based on Machine Vision and Deep Learning
Xuan-Thuan Nguyen, Thi Thoa Mac, Dinh Quang Nguyen, et al.
Vietnam Journal of Computer Science (2025), pp. 1-16
Open Access
Cultivating with Precision: Mitigating Risks and Maximizing Yields
Kriti Saroha, Vishal Jain, Mukesh Sehrawat
Sustainable development goals series (2025), pp. 185-208
Closed Access
Lightweight deep learning model for embedded systems efficiently predicts oil and protein content in rapeseed
Mingzhi Guo, Huifang Ma, Xin Lv, et al.
Food Chemistry (2025) Vol. 477, pp. 143557-143557
Closed Access
Micro-Vortices and Geometric Conversion in Continuous Granular Flow for Food Powder Quality Inspection through Sensor Fusion and Computational Vision
Ronan Santos, Lucas Viana Costa, Gabriel Cipriano Rocha, et al.
(2025)
Closed Access
Advances in Precision Systems Based on Machine Vision for Meat Quality Detection
Ebenezer O. Olaniyi, Christopher Kucha
Food Engineering Reviews (2025)
Closed Access
Rapid evaluation of Pixian Douban meju in the tank fermentor Based on the image features and multi‐model analysis
Mengmeng Li, Yuhui Zheng, Xiaoqing Mei, et al.
Journal of Food Science (2025) Vol. 90, Iss. 3
Closed Access
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
Assessing the Impact of Botanical Origins, Harvest Years, and Geographical Variability on the Physicochemical Quality of Serbian Honey
Aleksandra Tasić, Lato Pezo, Biljana Lončar, et al.
Foods (2024) Vol. 13, Iss. 10, pp. 1530-1530
Open Access | Times Cited: 3
Development of a computer vision system for the classification of olive oil samples with different harvesting years and estimation of chlorophyll and carotenoid contents: A comparison of the proposed method’s efficiency with UV-Vis spectroscopy
Shokoofeh Khani, Jahan B. Ghasemi, Zahra Piravi‐Vanak
Journal of Food Composition and Analysis (2024) Vol. 129, pp. 106078-106078
Closed Access | Times Cited: 2
Design and Experimentation of a Machine Vision-Based Cucumber Quality Grader
Fanghong Liu, Yanqi Zhang, Chengtao Du, et al.
Foods (2024) Vol. 13, Iss. 4, pp. 606-606
Open Access | Times Cited: 2
The Need for Machines for the Nondestructive Quality Assessment of Potatoes with the Use of Artificial Intelligence Methods and Imaging Techniques
Marek Danielak, Krzysztof Przybył, K. Koszela
Sensors (2023) Vol. 23, Iss. 4, pp. 1787-1787
Open Access | Times Cited: 5
Real Time Food Monitoring and Quality Alert System Using IoT and Streamlit
Sourjadip Pramanik, V. S. Kadam, Shripad Bhatlawande
(2024), pp. 171-183
Closed Access | Times Cited: 1
Role of Vision in Sensory Science
Sonia Kumari Shishodia, Kiran Verma, Ajay Singh, et al.
Advances in environmental engineering and green technologies book series (2024), pp. 125-157
Closed Access | Times Cited: 1
Bioenergy prediction using computer vision and machine intelligence: modeling and optimization of bioenergy production
Ruchita Shrivastava, Raju Rajak, Akash, et al.
Elsevier eBooks (2024), pp. 141-162
Closed Access | Times Cited: 1
Optimized YOLOv8 based on SGW for surface defect detection of silicon wafer
Guanqun Zhu, Jinsong Peng, Lianchao Sheng, et al.
Physica Scripta (2024) Vol. 99, Iss. 12, pp. 126006-126006
Closed Access | Times Cited: 1
Research Progress on Methods for Improving the Stability of Non-Destructive Testing of Agricultural Product Quality
Sai Xu, H. Y. Wang, Xin Liang, et al.
Foods (2024) Vol. 13, Iss. 23, pp. 3917-3917
Open Access | Times Cited: 1
Nondestructive determination of carotenoids in kiwifruit leaves infected with Pseudomonas syringae pv. actinidiae by surface‐enhanced Raman spectroscopy combined with chemical imaging
Lingli Jiang, Yufeng Zhang, Chao Kang, et al.
Plant Pathology (2023) Vol. 72, Iss. 6, pp. 1022-1033
Open Access | Times Cited: 4
Real-Time Deployment of MobileNetV3 Model in Edge Computing Devices Using RGB Color Images for Varietal Classification of Chickpea
Dhritiman Saha, Meetkumar Pareshbhai Mangukia, Annamalai Manickavasagan
Applied Sciences (2023) Vol. 13, Iss. 13, pp. 7804-7804
Open Access | Times Cited: 4
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