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:

Prediction performance and reliability evaluation of three ginsenosides in Panax ginseng using hyperspectral imaging combined with a novel ensemble chemometric model
Youyou Wang, Siman Wang, Ruibin Bai, et al.
Food Chemistry (2023) Vol. 430, pp. 136917-136917
Closed Access | Times Cited: 12

Showing 12 citing articles:

Identification and Classification of Coix seed Storage Years Based on Hyperspectral Imaging Technology Combined with Deep Learning
Ruibin Bai, Zhou Jun-hui, Siman Wang, et al.
Foods (2024) Vol. 13, Iss. 3, pp. 498-498
Open Access | Times Cited: 12

Geographical origins of Angelica sinensis using functional compounds and multielement with machine learning-based fusion approaches
Ping Yu, Xiaohan Yan, J. W. Hong, et al.
Food Chemistry (2025), pp. 142747-142747
Closed Access

Rapid Identification of Saline–Alkali Stress-Tolerant Peanut Varieties Based on Multimodal Data
Fan Zhang, Longgang Zhao, Tingting Guo, et al.
Agronomy (2025) Vol. 15, Iss. 1, pp. 197-197
Open Access

Geographical origin discrimination of Ophiopogonis Radix using hyperspectral imaging with multi-scale 3D convolution and transformer
Huiqiang Hu, Yuping Zhao, Yunpeng Wei, et al.
Computers and Electronics in Agriculture (2025) Vol. 233, pp. 110152-110152
Closed Access

Precise classification of traditional Chinese medicine sources using intelligent fusion of hyperspectral imaging-mass spectrometry data combined with machine learning: A case study of American ginseng
Hui Zhang, HongXu Zhang, Shourong Wu, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2025), pp. 126066-126066
Closed Access

Pixel-Level Recognition of Trace Mycotoxins in Red Ginseng Based on Hyperspectral Imaging Combined with 1DCNN-Residual-BiLSTM-Attention Model
Biao Liu, Hongxu Zhang, Jieqiang Zhu, et al.
Sensors (2024) Vol. 24, Iss. 11, pp. 3457-3457
Open Access | Times Cited: 2

Hyperspectral imaging combined with deep learning models for the prediction of geographical origin and fungal contamination in millet
Saimei Nie, W. K. Gao, Shasha Liu, et al.
Frontiers in Sustainable Food Systems (2024) Vol. 8
Open Access | Times Cited: 2

Rapid Detection of Oil Content in Camellia oleifera Kernels Based on Hyperspectral Imaging and Machine Learning
Huiqi Zhong, Jingyu Chai, Chunlian Yu, et al.
Journal of Food Composition and Analysis (2024), pp. 106899-106899
Closed Access | Times Cited: 2

Rapid identification of phycobiliproteins in Porphyra yezoensis using near-infrared combined with convolutional neural network
Zhaopeng Shen, Wenke Sun, Mingxuan Pan, et al.
Journal of Food Composition and Analysis (2024), pp. 106746-106746
Closed Access | Times Cited: 1

Utilizing Hybrid Time Series Clustering Algorithms for Hyper Spectral Image Processing
Amandeep Gill, Rahul Pawar, Ritesh Kumar
(2024), pp. 1-7
Closed Access

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