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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:

Assessment of protein content and insect infestation of maize seeds based on on-line near-infrared spectroscopy and machine learning
Zheli Wang, Wenqian Huang, Jiangbo Li, et al.
Computers and Electronics in Agriculture (2023) Vol. 211, pp. 107969-107969
Closed Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Integration of spectral and image features of hyperspectral imaging for quantitative determination of protein and starch contents in maize kernels
Mengmeng Qiao, Tao Cui, Guoyi Xia, et al.
Computers and Electronics in Agriculture (2024) Vol. 218, pp. 108718-108718
Closed Access | Times Cited: 25
Detection of Insect-Damaged Maize Seed Using Hyperspectral Imaging and Hybrid 1D-CNN-BiLSTM Model
Zheli Wang, Shuxiang Fan, Ting An, et al.
Infrared Physics & Technology (2024) Vol. 137, pp. 105208-105208
Closed Access | Times Cited: 12
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
Hyperspectral imaging combined with spectral-imagery feature fusion convolutional neural network to discriminate different geographical origins of wolfberries
Xinna Jiang, Quancheng Liu, Yan Lei, et al.
Journal of Food Composition and Analysis (2024) Vol. 132, pp. 106259-106259
Closed Access | Times Cited: 8
A general deep learning model for predicting and classifying pea protein content via visible and near-infrared spectroscopy
Tianpu Xiao, Chunji Xie, Li Yang, et al.
Food Chemistry (2025) Vol. 478, pp. 143617-143617
Closed Access | Times Cited: 1
Rapid determination of geographical authenticity of Gastrodia elata f. glauca using Fourier transform infrared spectroscopy and deep learning
Guangmei Deng, Jieqing Li, Honggao Liu, et al.
Food Control (2024) Vol. 167, pp. 110810-110810
Closed Access | Times Cited: 7
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
A quality detection method of corn based on spectral technology and deep learning model
Jiao Yang, Xiaodan Ma, Haiou Guan, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2023) Vol. 305, pp. 123472-123472
Closed Access | Times Cited: 11
Green analytical assay for the viability assessment of single maize seeds using double-threshold strategy for catalase activity and malondialdehyde content
Ting An, Yaoyao Fan, Xi Tian, et al.
Food Chemistry (2024) Vol. 455, pp. 139889-139889
Closed Access | Times Cited: 4
A method of maize seed variety identification based on near-infrared spectroscopy combined with improved DenseNet model
Haichao Zhou, Haiou Guan, Xiaodan Ma, et al.
Microchemical Journal (2024) Vol. 206, pp. 111542-111542
Closed Access | Times Cited: 4
Non-destructive identification of cashmere and wool fibers based on PLS-DA and LDA using NIR spectroscopy
Xin Chen, Fang Wang, Yaolin Zhu
Textile Research Journal (2025)
Closed Access
Fingerprinting of Boletus bainiugan: FT-NIR spectroscopy combined with machine learning a new workflow for storage period identification
Guangmei Deng, Honggao Liu, Jieqing Li, et al.
Food Microbiology (2025) Vol. 129, pp. 104743-104743
Closed Access
Progress of Complex System Process Analysis Based on Modern Spectroscopy Combined With Chemometrics
Maogang Li, Qi Cai, Tianlong Zhang, et al.
Journal of Chemometrics (2025) Vol. 39, Iss. 2
Closed Access
Development of a rapid detection method for maize seed purity using a modular high-throughput near-infrared non-destructive testing system
Zheli Wang, Yaoyao Fan, Xi Tian, et al.
Infrared Physics & Technology (2025), pp. 105836-105836
Closed Access
Prediction of pyrazines and identification of flavor intensity in boletus bainiugan at different drying temperatures based on feature variables
Guangmei Deng, Jieqing Li, Honggao Liu, et al.
Food Research International (2025), pp. 116467-116467
Closed Access
Recent advances in non-invasive techniques for assessing food quality: Applications and innovations
Kabiru Ayobami Jimoh, Norhashila Hashim
Advances in food and nutrition research (2024)
Closed Access | Times Cited: 3
A Nondestructive Detection Method for the Muti-Quality Attributes of Oats Using Near-Infrared Spectroscopy
Linglei Li, Long Li, Guoyuan Gou, et al.
Foods (2024) Vol. 13, Iss. 22, pp. 3560-3560
Open Access | Times Cited: 2
Non-destructive identification of Pseudostellaria heterophylla from different geographical origins by Vis/NIR and SWIR hyperspectral imaging techniques
Tingting Zhang, Lu Long, Yihu Song, et al.
Frontiers in Plant Science (2024) Vol. 14
Open Access | Times Cited: 2
Identification of Peanut Kernels Infected with Multiple Aspergillus flavus Fungi Using Line-Scan Raman Hyperspectral Imaging
Guang Yang, Xi Tian, Yaoyao Fan, et al.
Food Analytical Methods (2023) Vol. 17, Iss. 2, pp. 155-165
Closed Access | Times Cited: 4
Non-destructive estimation of the bruising time in kiwifruit based on spectral and textural data fusion by machine learning techniques
Youhua Bu, Jianing Luo, Jiabao Li, et al.
Journal of Food Measurement & Characterization (2024) Vol. 18, Iss. 8, pp. 6872-6885
Closed Access | Times Cited: 1
A detection method of Auricularia auricula mycelium storage period based on near-infrared spectral characteristics and deep learning model
Haiou Guan, Haichao Zhou, Xiaodan Ma, et al.
Infrared Physics & Technology (2024) Vol. 141, pp. 105460-105460
Closed Access | Times Cited: 1
Combining Hyperspectral Techniques and Genome-Wide Association Studies to Predict Peanut Seed Vigor and Explore Associated Genetic Loci
Zhenhui Xiong, Shiyuan Liu, Jiangtao Tan, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 15, pp. 8414-8414
Open Access | Times Cited: 1
Predicting leaf nitrogen content of coffee trees using the canopy hyperspectral reflectance feature bands, vegetation index and machine learning
Xiaogang Liu, Shuai Zhang, Shaomin Chen, et al.
International Journal of Remote Sensing (2024), pp. 1-28
Closed Access | Times Cited: 1
Quantitative Prediction of Protein Content in Corn Kernel Based on Near-Infrared Spectroscopy
Chenlong Fan, Ying Liu, Tao Cui, et al.
Foods (2024) Vol. 13, Iss. 24, pp. 4173-4173
Open Access | Times Cited: 1
The classification of leek seeds based on fluorescence spectroscopic data using machine learning
Ewa Ropelewska, Kadir Sabancı, Vanya Slavova, et al.
European Food Research and Technology (2023) Vol. 249, Iss. 12, pp. 3217-3226
Open Access | Times Cited: 3
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