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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:

In-field and non-destructive determination of comprehensive maturity index and maturity stages of Camellia oleifera fruits using a portable hyperspectral imager
Weidong Yuan, Hongping Zhou, Yu Rong Zhou, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2024) Vol. 315, pp. 124266-124266
Closed Access | Times Cited: 9

Showing 9 citing articles:

Automated and explainable machine learning for monitoring lipid and protein oxidative damage in mutton using hyperspectral imaging
Weiguo Yi, Xingyan Zhao, Xueyan Yun, et al.
Food Research International (2025) Vol. 203, pp. 115905-115905
Closed Access | Times Cited: 1
Research on hyperspectral timely monitoring model of green tea processing quality based on PSO-LSSVR
Kai’xing Zhang, Zongyuan Zuo, Chang’an Zhou, et al.
Journal of Food Composition and Analysis (2024) Vol. 134, pp. 106490-106490
Closed Access | Times Cited: 6
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
CO-YOLO: A lightweight and efficient model for Camellia oleifera fruit object detection and posture determination
Shouxiang Jin, Lei Zhou, Hongping Zhou
Computers and Electronics in Agriculture (2025) Vol. 235, pp. 110394-110394
Closed Access
Determination and visualization of moisture content in Camellia oleifera seeds rapidly based on hyperspectral imaging combined with deep learning
Weidong Yuan, Hongping Zhou, Cong Zhang, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2024) Vol. 330, pp. 125676-125676
Closed Access | Times Cited: 2
Fusion features of microfluorescence hyperspectral imaging for qualitative detection of pesticide residues in Hami melon
Huitao Bian, Benxue Ma, G. Yu, et al.
Food Research International (2024) Vol. 196, pp. 115010-115010
Closed Access | Times Cited: 1
Detection of Mechanical Damage in Corn Seeds Based on Hyperspectral Imaging and Deep Learning
Hua Huang, Yinfeng Liu, Shiping Zhu, et al.
(2024)
Closed Access
Detection of Mechanical Damage in Corn Seeds Using Hyperspectral Imaging and the ResNeSt_E Deep Learning Network
Huang Hua, Yinfeng Liu, Shiping Zhu, et al.
Agriculture (2024) Vol. 14, Iss. 10, pp. 1780-1780
Open Access
Field Grading of Longan SSC via Vis-NIR and Improved BP Neural Network
Jun Li, Meiqi Zhang, Kaixuan Wu, et al.
Agriculture (2024) Vol. 14, Iss. 12, pp. 2297-2297
Open Access
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