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:

Surface-enhanced Raman spectroscopy-based metabolomics for the discrimination of Keemun black teas coupled with chemometrics
Yin‐feng Ren, Zhi-hao Ye, Xiaoqian Liu, et al.
LWT (2023) Vol. 181, pp. 114742-114742
Open Access | Times Cited: 9

Showing 9 citing articles:

The dawn of intelligent technologies in tea industry
Yang Wei, Yongqi Wen, Xiaolin Huang, et al.
Trends in Food Science & Technology (2024) Vol. 144, pp. 104337-104337
Closed Access | Times Cited: 19

Tracing the geographic origin of CTC black tea based on colorimetric sensor array response to taste substances combined with chemometrics
Jingfei Shen, Tiehan Li, Yurong Chen, et al.
Food Control (2024) Vol. 161, pp. 110422-110422
Closed Access | Times Cited: 7

Rapid discrimination of xiaokeng green tea geographical origin using surface-enhanced Raman spectroscopy coupled with chemometrics
Yingqi Chen, Shiya Gan, Xiaoyi Zhao, et al.
LWT (2024) Vol. 197, pp. 115867-115867
Open Access | Times Cited: 6

An efficient strategy for early sex identification in Litsea cubeba based on portable Raman technology combined with machine learning algorithms
Chuyi Wang, Peipei Xu, Haonan Wang, et al.
Journal of Food Composition and Analysis (2025), pp. 107242-107242
Closed Access

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

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: 5

3D superstructure based metabolite profiling for glaucoma diagnosis
M. Jang, Jonghoon Shin, You Hwan Kim, et al.
Biosensors and Bioelectronics (2023) Vol. 244, pp. 115780-115780
Open Access | Times Cited: 2

Spectroscopy and machine learning in food processing survey
Mahtem Teweldemedhin Mengstu, Alper Taner, Hüseyin Duran
BIO Web of Conferences (2024) Vol. 85, pp. 01022-01022
Open Access

Recent advances of machine learning in the geographical origin traceability of food and agro‐products: A review
Jiali Li, Jianping Qian, Jinyong Chen, et al.
Comprehensive Reviews in Food Science and Food Safety (2024) Vol. 24, Iss. 1
Closed Access

Writing Tiny Nanoclusters Using a Nanofountain Pen Operated by Spontaneous Evaporation
Sung‐Jo Kim, Dongwon Yi, Il Hyun Lee, et al.
Crystals (2023) Vol. 14, Iss. 1, pp. 9-9
Open Access

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