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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:

An efficient artificial intelligence algorithm for predicting the sensory quality of green and black teas based on the key chemical indices
Lu Lu, Lu Wang, Ruyi Liu, et al.
Food Chemistry (2023) Vol. 441, pp. 138341-138341
Closed Access | Times Cited: 18

Showing 18 citing articles:

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
New Revolution for Quality Control of TCM in Industry 4.0: Focus on Artificial Intelligence and Bioinformatics
Yaolei Li, Jing Fan, Xian‐Long Cheng, et al.
TrAC Trends in Analytical Chemistry (2024), pp. 118023-118023
Open Access | Times Cited: 5
Machine learning-based classification and prediction of typical Chinese green tea taste profiles
Yingbin Zhang, Xuwei Chen, Dingding Chen, et al.
Food Research International (2025), pp. 115796-115796
Closed Access
Effect of cultivar and process on the astringency of matcha based on flavonoids-targeted metabolomic analysis
Jinjin Xue, Panpan Liu, Yong‐Quan Xu, et al.
Food Research International (2025) Vol. 204, pp. 115954-115954
Closed Access
Improved STA-BiLSTM for tea withering moisture content: detection and prediction model
Bin Chen, Bin Chen, Bo Guo, et al.
Journal of Food Measurement & Characterization (2025)
Open Access
Evaluating the Intensity of Bitter–Astringent Interactive Perception in Green Tea Based on the Weber–Fechner Law
Siying Li, Dongdong Du, Shaoming Cheng, et al.
Chemosensors (2025) Vol. 13, Iss. 4, pp. 137-137
Open Access
Machine Learning Unveils Potential Taste Biomarkers Associated with Energy Status in Shiitake Mushrooms During Spore Release
Rongrong Xia, Heran Xu, Hongli Ren, et al.
Food and Bioprocess Technology (2025)
Closed Access
Understanding process parameter-induced variability for physicochemical and sensory metrics of green tea powder
Fei Zhou, Jinchao Wang, Xuming Jiang, et al.
LWT (2025), pp. 117777-117777
Open 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) Vol. 211, pp. 116455-116455
Closed Access
Preliminary exploration of the loss of free Methylselenocysteine during selenium-rich tea processing
Jue Liu, Hu Youjun, Jie Zheng, et al.
Food Chemistry (2025) Vol. 485, pp. 144591-144591
Closed Access
Progress of research on aroma absorption mechanism and aroma fixation pathway of jasmine green tea
Yueguang Wang, Zifeng Huang, Taoyi Zhou, et al.
Journal of the Science of Food and Agriculture (2024)
Closed Access | Times Cited: 3
Volatile and non-volatile compounds profiling and their role in sensory and antioxidative attributes of two species of “red snow tea” (Lethariella)
Lin Yu-hong, Ran Wei, Jack Jingyuan Zheng, et al.
Journal of Food Composition and Analysis (2024) Vol. 133, pp. 106422-106422
Closed Access | Times Cited: 2
Comparison and chemometrics analysis of phenolic compounds and mineral elements in Artemisia Argyi Folium from different geographical origins
Lifei Hu, Feng Zhu, Yifan Wang, et al.
Food Chemistry X (2024) Vol. 24, pp. 101909-101909
Open Access | Times Cited: 2
CURRENT CHALLENGES, AND FUTURE OPPORTUNITIES FOR FERMENTED TEA LEAF SEGMENTATION, CLASSIFICATION, AND OPTIMIZATION
C.M. Sulaikha, Aditya Somasundaram
ShodhKosh Journal of Visual and Performing Arts (2024) Vol. 5, Iss. 1
Closed Access
Research on Application of Artificial Intelligence in Higher Education Management
Shi Yang
Education Journal (2024) Vol. 7, Iss. 1, pp. 120-120
Open Access
Exploring the Differences of Sensory Attribute, Chemical Profile and Antioxidant Potential of Two Species of “Red Snow Tea” (Lethariella)
Lin Yu-hong, Ran Wei, Jack Jingyuan Zheng, et al.
(2024)
Closed Access
An Approach Sensory Analysis Using Targeted Sensors in Electronic Nose for Assessing Green Tea Quality
Rini Handayani, Riyanarto Sarno, Dedy Rahman Wijaya, et al.
(2024), pp. 746-751
Closed Access
Identification of lu’an Guapian at different picking periods by using excitation–emission matrix fluorescence spectroscopy coupled with chemometrics
Hang Ren, Lin-Li Lin, Mingyue Dong, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2024) Vol. 328, pp. 125413-125413
Closed Access
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