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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:

Electronic Sensor Technologies in Monitoring Quality of Tea: A Review
Seyed Mohammad Taghi Gharibzahedi, Francisco J. Barba, Jianjun Zhou, et al.
Biosensors (2022) Vol. 12, Iss. 5, pp. 356-356
Open Access | Times Cited: 36

Showing 26-50 of 36 citing articles:

Prediction of Green Tea Organoleptic Scores Based on Electronic Nose Dataset Using Bagging Algorithms
Renaldi Dafa Saputra, Dedy Rahman Wijaya, Guntur Prabawa Kusuma
(2024), pp. 321-327
Closed Access
Chemometric classification of Vietnamese green tea (Camellia sinensis) varieties and origins using elemental profiling and FTIR spectroscopy
Trương Ngọc Minh, Pham Văn Thinh, Hoang Le Tuan Anh, et al.
International Journal of Food Science & Technology (2024)
Closed Access
Metabolite Profiling and Identification of Sweet/Bitter Taste Compounds in the Growth of Cyclocarya Paliurus Leaves Using Multiplatform Metabolomics
Liang Chen, Lu Dai, Yuxi Wan, et al.
Foods (2024) Vol. 13, Iss. 19, pp. 3089-3089
Open Access
A black tea quality testing method for scale production using CV and NIRS with TCN for spectral feature extraction
Jianhua Liang, Jiaming Guo, Hongling Xia, et al.
Food Chemistry (2024) Vol. 464, pp. 141567-141567
Closed Access
Safety Assessment and Contaminants Detection in Different types of Tea and Tea products
Aqsa Akhtar, Izma Zahir, Hafsa Naeem, et al.
Reviews in Agricultural Science (2024) Vol. 12, pp. 347-376
Open Access
Association between tea consumption and stroke in the American adult females: analyses of NHANES 2011–2018 data
Yinglei Miao, Sijia Ma, Xian Wu
Frontiers in Nutrition (2024) Vol. 11
Open Access
Biosensing technology in food production and processing
Seyed Mohammad Taghi Gharibzahedi, Francisco J. Barba, Vahid Mofid, et al.
Elsevier eBooks (2023), pp. 743-824
Closed Access | Times Cited: 1
Biosensors in 2022
Giovanna Marrazza
Biosensors (2023) Vol. 13, Iss. 3, pp. 407-407
Open Access | Times Cited: 1
Spectroscopic studies on a natural biomarker for the identification of origin and quality of tea extracts for the development of a portable and field deployable prototype
Amrita Banerjee, Ria Ghosh, Soumendra Singh, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2023) Vol. 299, pp. 122842-122842
Closed Access | Times Cited: 1
Assessment of E-Senses Performance through Machine Learning Models for Colombian Herbal Teas Classification
Jeniffer Carrillo, Cristhian Manuel Durán Acevedo, Juan Martin Cáceres, et al.
Chemosensors (2023) Vol. 11, Iss. 7, pp. 354-354
Open Access | Times Cited: 1
ARTIFICIAL NEURAL NETWORK BASED INTELLIGENT TEA TASTER-REVIEW
Sajeewani Tharanga, Koliya Pulasinghe, Faiz Marikar
Automation technological and business processes (2023) Vol. 15, Iss. 1, pp. 7-7
Open Access
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