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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:

Machine learning-driven hyperspectral imaging for non-destructive origin verification of green coffee beans across continents, countries, and regions
Joy Sim, Yash Dixit, Cushla McGoverin, et al.
Food Control (2023) Vol. 156, pp. 110159-110159
Open Access | Times Cited: 15

Showing 15 citing articles:

Rapid and non-destructive identification of Panax ginseng origins using hyperspectral imaging, visible light imaging, and X-ray imaging combined with multi-source data fusion strategies
Jiacong Ping, Zehua Ying, Nan Hao, et al.
Food Research International (2024) Vol. 192, pp. 114758-114758
Closed Access | Times Cited: 8
Characterizing Chinese saffron Origin, Age and grade using VNlR hyperspectral imaging and Machine learning
Jiahui Wu, Jing Nie, Hu Hao, et al.
Food Research International (2025) Vol. 202, pp. 115585-115585
Closed Access
SSATNet: Spectral-spatial attention transformer for hyperspectral corn image classification
Yinglin Wang, Gongchao Chen, Juan Wen, et al.
Frontiers in Plant Science (2025) Vol. 15
Open Access
A comprehensive review of deep learning-based hyperspectral image reconstruction for agri-food quality appraisal
Md. Toukir Ahmed, Ocean Monjur, Alin Khaliduzzaman, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 4
Open Access
Geographical Origin Authentication of Agricultural Products in the China–Eu Geographical Indications Agreement: A Comprehensive Review of Chinese Products
Xiaoting Yang, Yalan Li, Shilin Zhao, et al.
Trends in Food Science & Technology (2024) Vol. 152, pp. 104679-104679
Closed Access | Times Cited: 1
Near-infrared spectroscopy combined with support vector machine for the identification of Tartary buckwheat (Fagopyrum tataricum (L.) Gaertn) adulteration using wavelength selection algorithms
Yue Yu, Yinghui Chai, Yujie Yan, et al.
Food Chemistry (2024) Vol. 463, pp. 141548-141548
Closed Access | Times Cited: 1
The Authentication of Gayo Arabica Green Coffee Beans with Different Cherry Processing Methods Using Portable LED-Based Fluorescence Spectroscopy and Chemometrics Analysis
Meinilwita Yulia, Analianasari Analianasari, Slamet Widodo, et al.
Foods (2023) Vol. 12, Iss. 23, pp. 4302-4302
Open Access | Times Cited: 2
Ginkgo biloba Sex Identification Methods Using Hyperspectral Imaging and Machine Learning
Mengyuan Chen, Chenfeng Lin, Yongqi Sun, et al.
Plants (2024) Vol. 13, Iss. 11, pp. 1501-1501
Open Access
Quality in beans: tracking and tracing coffee through automation and machine learning
Leonardo Agnusdei, Pier Paolo Miglietta, Giulio Paolo Agnusdei
EuroMed Journal of Business (2024)
Closed Access
Rapid Identification of Medicinal Polygonatum Species and Predictive of Polysaccharides Using ATR‐FTIR Spectroscopy Combined With Multivariate Analysis
Yue Wang, Zhimin Li, Wanyi Li, et al.
Phytochemical Analysis (2024)
Closed Access
A comprehensive review of deep learning-based hyperspectral image reconstruction for agri-food quality appraisal
Md. Toukir Ahmed, Ocean Monjur, Alin Khaliduzzaman, et al.
Research Square (Research Square) (2024)
Open Access
Review: Application and research progress of near infrared spectroscopy for multidimensional assessment of coffee beans
TingTing Li, Xiangyang Yu, Wenzao Zu, et al.
Journal of Near Infrared Spectroscopy (2024) Vol. 32, Iss. 6, pp. 179-191
Closed Access
Geographical origin traceability of chrysanthemum using hyperspectral imaging with class information-guided evolutionary multitasking wavelength selection and spatial feature extraction
Yunpeng Wei, Huiqiang Hu, Minghua Yuan, et al.
Journal of Food Composition and Analysis (2024), pp. 107107-107107
Closed Access
Recent advances of machine learning in the geographical origin traceability of food and agro‐products: A review
Jiali Li, Jianping Qian, Jinyong Chen, et al.
Comprehensive Reviews in Food Science and Food Safety (2024) Vol. 24, Iss. 1
Closed Access
Comparison of Peruvian coffee varieties applying near infrared spectroscopy (NIRS) and machine learning
Christian Ovalle, Omar Santillan Aching, Antonio Luis Gámez López, et al.
(2024), pp. 240-246
Closed Access
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