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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:

A nondestructive method for determination of green tea quality by hyperspectral imaging
Yu Tang, Fan Wang, Xiaoqing Zhao, et al.
Journal of Food Composition and Analysis (2023) Vol. 123, pp. 105621-105621
Closed Access | Times Cited: 19

Showing 19 citing articles:

Hyperspectral Image Analysis and Machine Learning Techniques for Crop Disease Detection and Identification: A Review
Yimy Edisson García Vera, Mauricio Andrés Polochè Arango, Camilo A. Mendivelso-Fajardo, et al.
Sustainability (2024) Vol. 16, Iss. 14, pp. 6064-6064
Open Access | Times Cited: 19
Enhancing classification rate of electronic nose system and piecewise feature extraction method to classify black tea with superior quality
Kombo Othman Kombo, Nasrul Ihsan, Tri Siswandi Syahputra, et al.
Scientific African (2024) Vol. 24, pp. e02153-e02153
Open Access | Times Cited: 9
Advancing tea detection with artificial intelligence: strategies, progress, and future prospects
Qilin Xu, Yifeng Zhou, Linlin Wu
Trends in Food Science & Technology (2024), pp. 104731-104731
Closed Access | Times Cited: 9
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
Efficient Near Infrared Spectroscopy Based Feature Selection of Tannic Acid for Black Tea Evaluation
Angiras Modak, Madhurima Moulick, Runu Banerjee Roy
Communications in computer and information science (2025), pp. 149-157
Closed Access
Evaluation of Shelf Life Prediction for Broccoli Based on Multispectral Imaging and Multi-Feature Data Fusion
Xiangqin Cui, Xiaoxue Sun, Shuxin Xuan, et al.
Agronomy (2025) Vol. 15, Iss. 4, pp. 788-788
Closed Access
Classification of quality grading of Anji white tea using hyperspectral imaging and data fusion techniques
Linlin Wu, Qilin Xu, Cheng Su, et al.
Journal of Food Composition and Analysis (2025) Vol. 142, pp. 107563-107563
Closed Access
Prediction of multi-task physicochemical indices based on hyperspectral imaging and analysis of the relationship between physicochemical composition and sensory quality of tea
Xinna Jiang, Xingda Cao, Quancheng Liu, et al.
Food Research International (2025), pp. 116455-116455
Closed Access
Estimation for soluble solid content in Hetian jujube using hyperspectral imaging with fused spectral and textural Features
Yunpeng Wei, Minghua Yuan, Huiqiang Hu, et al.
Journal of Food Composition and Analysis (2024) Vol. 128, pp. 106079-106079
Closed Access | Times Cited: 3
Monitoring Quality Changes in Green Tea During Storage: A Hyperspectral Imaging Method
Feilan Li, Luqing Li, Jingfei Shen, et al.
(2024)
Closed Access | Times Cited: 3
Rapid and sensitive in-situ detection of pesticide residues in real tea soup with optical fiber SERS probes
Chengbin Cai, Fei Zhou, Rang Chu, et al.
Journal of Food Composition and Analysis (2024) Vol. 134, pp. 106520-106520
Closed Access | Times Cited: 3
Non-Destructive Detection of Tea Polyphenols in Fu Brick Tea Based on Hyperspectral Imaging and Improved PKO-SVR Method
Junyao Gong, Gang Chen, Yuezhao Deng, et al.
Agriculture (2024) Vol. 14, Iss. 10, pp. 1701-1701
Open Access | Times Cited: 3
Monitoring quality changes in green tea during storage: A hyperspectral imaging method
Feilan Li, Jingfei Shen, Qianfeng Yang, et al.
Food Chemistry X (2024) Vol. 23, pp. 101538-101538
Open Access | Times Cited: 1
Hollow discrimination of edamame with pod based on hyperspectral imaging
Xiangquan Gao, Shenghong Li, Shangsheng Qin, et al.
Journal of Food Composition and Analysis (2024), pp. 106904-106904
Closed Access | Times Cited: 1
Identification Method of Insulator Pollution Type Based on W-SVM
Ma Jun, Fuxing Gong, Bo Zhang, et al.
2022 4th Asia Energy and Electrical Engineering Symposium (AEEES) (2024) Vol. 225, pp. 1044-1047
Closed Access
Classification of tea quality grades based on hyperspectral imaging spatial information and optimization models
Yuhan Ding, Renhua Zeng, Hui Jiang, et al.
Journal of Food Measurement & Characterization (2024)
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
Tea grading, blending, and matching based on computer vision and deep learning
Jilong Guo, Kexin Zhang, Selorm Yao‐Say Solomon Adade, et al.
Journal of the Science of Food and Agriculture (2024)
Closed Access
Tea Grade Detection Based on Hyperspectral Imaging Technology and Deep Convolutional Neural Networks
Yuhan Ding, Renhua Zeng, Hui Jiang, et al.
(2023)
Closed Access
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