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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:

Monitoring the withering condition of leaves during black tea processing via the fusion of electronic eye (E-eye), colorimetric sensing array (CSA), and micro-near-infrared spectroscopy (NIRS)
Yujie Wang, Ying Liu, Qingqing Cui, et al.
Journal of Food Engineering (2021) Vol. 300, pp. 110534-110534
Closed Access | Times Cited: 51

Showing 1-25 of 51 citing articles:

Applications of Electronic Nose, Electronic Eye and Electronic Tongue in Quality, Safety and Shelf Life of Meat and Meat Products: A Review
Paulo E. S. Munekata, Sarah Finardi, Carolina Krebs de Souza, et al.
Sensors (2023) Vol. 23, Iss. 2, pp. 672-672
Open Access | Times Cited: 43
Spectral data fusion in nondestructive detection of food products: Strategies, recent applications, and future perspectives
Minqiang Guo, Kaiqiang Wang, Hong Lin, et al.
Comprehensive Reviews in Food Science and Food Safety (2024) Vol. 23, Iss. 1
Closed Access | Times Cited: 23
A data fusion approach on confocal Raman microspectroscopy and electronic nose for quantitative evaluation of pesticide residue in tea
Alireza Sanaeifar, Xiaoli Li, Yong He, et al.
Biosystems Engineering (2021) Vol. 210, pp. 206-222
Closed Access | Times Cited: 57
Rapid discrimination of quality grade of black tea based on near-infrared spectroscopy (NIRS), electronic nose (E-nose) and data fusion
Hongling Xia, Wei Chen, Die Hu, et al.
Food Chemistry (2023) Vol. 440, pp. 138242-138242
Closed Access | Times Cited: 37
Understanding the dynamic changes of volatile and non-volatile metabolites in black tea during processing by integrated volatolomics and UHPLC-HRMS analysis
Yanqin Yang, Jialing Xie, Qiwei Wang, et al.
Food Chemistry (2023) Vol. 432, pp. 137124-137124
Closed Access | Times Cited: 31
Monitoring black tea fermentation quality by intelligent sensors: Comparison of image, e-nose and data fusion
Qiaoyi Zhou, Zhenhua Dai, Feihu Song, et al.
Food Bioscience (2023) Vol. 52, pp. 102454-102454
Closed Access | Times Cited: 26
Uncovering the Dynamic Alterations of Volatile Components in Sweet and Floral Aroma Black Tea during Processing
Yanqin Yang, Qiwei Wang, Jialing Xie, et al.
Foods (2024) Vol. 13, Iss. 5, pp. 728-728
Open Access | Times Cited: 11
Non-destructive prediction of the total viable count (TVC) in Fujian oysters (Crassostrea angulata) based on the colorimetric sensor array
Shang Wang, Qingmin Chen, Yuying Han, et al.
Microchemical Journal (2024) Vol. 197, pp. 109911-109911
Closed Access | Times Cited: 7
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: 7
The intelligent selenium-enriched tea withering control system
Shuang Ren, Sanjun Liu, Jinzhao Fan, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Rapid identification of the green tea geographical origin and processing month based on near-infrared hyperspectral imaging combined with chemometrics
Ying Liu, Junlan Huang, Menghui Li, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2021) Vol. 267, pp. 120537-120537
Closed Access | Times Cited: 42
High-sensitivity hyperspectral coupled self-assembled nanoporphyrin sensor for monitoring black tea fermentation
Luqing Li, Menghui Li, Ying Liu, et al.
Sensors and Actuators B Chemical (2021) Vol. 346, pp. 130541-130541
Closed Access | Times Cited: 40
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
Hyperspectral imaging technology coupled with human sensory information to evaluate the fermentation degree of black tea
Ting An, Wenqian Huang, Xi Tian, et al.
Sensors and Actuators B Chemical (2022) Vol. 366, pp. 131994-131994
Closed Access | Times Cited: 34
Prediction of Tea Polyphenols, Free Amino Acids and Caffeine Content in Tea Leaves during Wilting and Fermentation Using Hyperspectral Imaging
Yilin Mao, He Li, Yu Wang, et al.
Foods (2022) Vol. 11, Iss. 16, pp. 2537-2537
Open Access | Times Cited: 29
A review on the application of computer vision and machine learning in the tea industry
Huajia Wang, Jinan Gu, Mengni Wang
Frontiers in Sustainable Food Systems (2023) Vol. 7
Open Access | Times Cited: 20
Application of colorimetric sensor array combined with visible near-infrared spectroscopy for the matcha classification
Qin Ouyang, Yanna Rong, Jiaqi Wu, et al.
Food Chemistry (2023) Vol. 420, pp. 136078-136078
Closed Access | Times Cited: 19
Synergetic application of an E-tongue, E-nose and E-eye combined with CNN models and an attention mechanism to detect the origin of black pepper
Shoucheng Wang, Qing Zhang, Chuanzheng Liu, et al.
Sensors and Actuators A Physical (2023) Vol. 357, pp. 114417-114417
Closed Access | Times Cited: 19
Colorimetric sensor array combined with chemometric methods for the assessment of aroma produced during the drying of tencha
Shuangshuang Liu, Yanna Rong, Quansheng Chen, et al.
Food Chemistry (2023) Vol. 432, pp. 137190-137190
Closed Access | Times Cited: 16
E-nose and colorimetric sensor array combining homologous data fusion strategy discriminating the roasting degree of large-leaf yellow tea
Luqing Li, Shuai Dong, Shuci Cao, et al.
Food Chemistry X (2024) Vol. 21, pp. 101124-101124
Open Access | Times Cited: 6
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
Non-Destructive Detection of Silage pH Based on Colorimetric Sensor Array Using Extended Color Components and Novel Sensitive Dye Screening Method
Kai Zhao, Haiqing Tian, Jue Zhang, et al.
Agronomy (2025) Vol. 15, Iss. 1, pp. 184-184
Open Access
Adaptive fusion of visible-near infrared spectroscopy and colorimetric sensor array using the slime mold algorithm and stacking ensemble: Application in silage quality detection
Kai Zhao, Haiqing Tian, Jue Zhang, et al.
Measurement (2025), pp. 116785-116785
Closed Access
Taste evaluation by NIR spectroscopy and blending strategy of black tea based on GDE3 algorithm
Caijin Ling, Lin Huang, Yingnan Bian, et al.
Infrared Physics & Technology (2025), pp. 105739-105739
Closed Access
Rapid and real time detection of black tea rolling quality by using an inexpensive machine vison system
Shuai Shen, Na Ren, Hang Zheng, et al.
Food Research International (2025) Vol. 205, pp. 115983-115983
Closed Access
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