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:

Non-destructive detection of single corn seed vigor based on visible/near-infrared spatially resolved spectroscopy combined with chemometrics
Wenxi Liu, Bin Luo, Kai Kang, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2024) Vol. 312, pp. 124089-124089
Closed Access | Times Cited: 11

Showing 11 citing articles:

Identification of maize seed vigor under different accelerated aging times using hyperspectral imaging and spectral deep features
Hongfei Zhu, Ranbing Yang, Miaomiao Lu, et al.
Computers and Electronics in Agriculture (2025) Vol. 231, pp. 109980-109980
Closed Access | Times Cited: 1

Discrimination of New and Aged Seeds Based on On-Line Near-Infrared Spectroscopy Technology Combined with Machine Learning
Yanqiu Zhu, Shuxiang Fan, Min Zuo, et al.
Foods (2024) Vol. 13, Iss. 10, pp. 1570-1570
Open Access | Times Cited: 6

Data fusion-driven hyperspectral imaging for non-destructive detection of single maize seed vigor
Rui Shi, Han Zhang, Cheng Wang, et al.
Measurement (2025), pp. 117416-117416
Closed Access

Cross-variety seed vigor detection using new spectral analysis techniques and ensemble learning methods
Han Zhang, Kai Kang, Cheng Wang, et al.
Journal of Food Composition and Analysis (2024), pp. 106845-106845
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

A method for constructing optical detection model of wheat seed purity based on sample generation and contrastive learning strategy
Shengqi Yan, Xin Zhao, Qibing Zhu, et al.
Journal of Food Composition and Analysis (2024), pp. 107022-107022
Closed Access

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