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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:

Rapid detection of multiple colorant adulteration in Keemun black tea based on hemp spherical AgNPs-SERS
Luqing Li, Qingqing Cui, Menghui Li, et al.
Food Chemistry (2022) Vol. 398, pp. 133841-133841
Closed Access | Times Cited: 22

Showing 22 citing articles:

Rapid Characterization of Black Tea Taste Quality Using Miniature NIR Spectroscopy and Electronic Tongue Sensors
Guangxin Ren, Xusheng Zhang, Rui Wu, et al.
Biosensors (2023) Vol. 13, Iss. 1, pp. 92-92
Open Access | Times Cited: 33
New trends in the development and application of artificial intelligence in food processing
Riya Barthwal, Deepika Kathuria, Saloni Joshi, et al.
Innovative Food Science & Emerging Technologies (2024) Vol. 92, pp. 103600-103600
Closed Access | Times Cited: 13
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: 8
Metabolomics for tea authentication and fraud detection: Recent applications and future directions
Hui Tan, Weibiao Zhou
Trends in Food Science & Technology (2024) Vol. 149, pp. 104558-104558
Closed Access | Times Cited: 7
Multiplex Surface-Enhanced Raman Scattering: An Emerging Tool for Multicomponent Detection of Food Contaminants
Qingyi Wei, Qirong Dong, Hongbin Pu
Biosensors (2023) Vol. 13, Iss. 2, pp. 296-296
Open Access | Times Cited: 16
The classification, detection and ‘SMART’ control of the nine sins of tea fraud
Y.F. Li, Christopher T. Elliott, Awanwee Petchkongkaew, et al.
Trends in Food Science & Technology (2024) Vol. 149, pp. 104565-104565
Open Access | Times Cited: 5
Predicting the storage time of green tea by myricetin based on surface-enhanced Raman spectroscopy
Mengxuan Xiao, Yingqi Chen, Fangling Zheng, et al.
npj Science of Food (2023) Vol. 7, Iss. 1
Open Access | Times Cited: 10
Rapid detection of ash content in black tea using a homemade miniature near-infrared spectroscopy
Guangxin Ren, Lingling Yin, Rui Wu, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2023) Vol. 308, pp. 123740-123740
Closed Access | Times Cited: 7
Classification and quantification of multiple adulterants simultaneously in black tea using spectral data coupled with chemometric analysis
Rani Amsaraj, Sarma Mutturi
Journal of Food Composition and Analysis (2023) Vol. 125, pp. 105715-105715
Closed Access | Times Cited: 5
Quantitative SERS detection of weakly adsorbed dye molecules by PDDA@Ag/Au-HPOC substrates
Ying Zhang, Ziqiu Chen, J. T. Jin, et al.
Sensors and Actuators B Chemical (2024) Vol. 422, pp. 136683-136683
Closed Access | Times Cited: 1
Detection of Carmine in Black Tea Based on UV–Vis Absorption Spectroscopy and Machine Learning
Xiaoyan Wang, H.C. Chen, Rendong Ji, et al.
Food Analytical Methods (2024)
Closed Access | Times Cited: 1
Intelligent Evaluation of the Appearance Modality of Black Tea Based on Machine Vision and Hyperspectral Imaging
Guangxin Ren, Rui Wu, Lingling Yin, et al.
Analytical Letters (2023) Vol. 57, Iss. 2, pp. 176-189
Closed Access | Times Cited: 4
MoS2 quantum dots-based optical sensing platform for the analysis of synthetic colorants. Application to quinoline yellow determination
Rut Martínez‐Moro, María del Pozo, Elena Casero, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2023) Vol. 302, pp. 123042-123042
Open Access | Times Cited: 4
Construction of SERS chip based on silver nanoparticles and detection of sports doping β-agonists
M Ye, Sheng Tang
Alexandria Engineering Journal (2023) Vol. 83, pp. 134-139
Open Access | Times Cited: 3
Counterfeit Detection of Iranian Black Tea Using Image Processing and Deep Learning Based on Patched and Unpatched Images
Mohammad Sadegh Besharati, Raziyeh Pourdarbani, Sajad Sabzi, et al.
Horticulturae (2024) Vol. 10, Iss. 7, pp. 665-665
Open Access
Quantitative Sers Detection of Weakly Adsorbed Pigment Molecules by Pdda@Ag/Au-Hpoc Substrates
Igor Ying Zhang, Ziqiu Chen, Bowen Liu
(2024)
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
Simultaneous detection of mixed colorants adulterated in black tea based on various morphological SERS sensors
Qingqing Cui, Jingfei Shen, Huiyan Jia, et al.
Food Research International (2024) Vol. 199, pp. 115364-115364
Closed Access
Detection of pesticide residues using flower-like silver SERS substrates based on flexible sponge
Chao Sun, N. Liu, Zhenzhen Wu, et al.
Photochemical & Photobiological Sciences (2024)
Closed Access
Discovery of a triphenylamine-benzofuran derivative as fluorescent probe for hydrogen polysulfide in tea samples
Juan Meng, Hong-Cun Liu, Yangyang Guo, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2022) Vol. 288, pp. 122191-122191
Closed Access | Times Cited: 3
Fabrication of blue silver substrate with 10 nm grains by an electrochemical deposition and application in SERS
Nan Zhang, Lingyun Cui, Xiaohui Yu, et al.
Journal of Electroanalytical Chemistry (2023) Vol. 946, pp. 117700-117700
Closed Access | Times Cited: 1
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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