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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:

Estimation of blood glucose level of type-2 diabetes patients using smartphone video through PCA-DA
Tauseef Tasin Chowdhury, Tahmin Mishma, Saeem Osman, et al.
(2019)
Closed Access | Times Cited: 9

Showing 9 citing articles:

Towards non-invasive blood glucose measurement using machine learning: An all-purpose PPG system design
Shantanu Sen Gupta, Tae-Ho Kwon, Shifat Hossain, et al.
Biomedical Signal Processing and Control (2021) Vol. 68, pp. 102706-102706
Closed Access | Times Cited: 65
Non-invasive blood glucose monitoring using PPG signals with various deep learning models and implementation using TinyML
Mohammad Zeynali, Khalil Alipour, Bahram Tarvirdizadeh, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Blood Glucose Level Regression for Smartphone PPG Signals Using Machine Learning
Tanvir Tazul Islam, M. Ahmed, Md Hassanuzzaman, et al.
Applied Sciences (2021) Vol. 11, Iss. 2, pp. 618-618
Open Access | Times Cited: 43
Intelligent estimation of blood glucose level using wristband PPG signal and physiological parameters
Anju Prabha, Jyoti Yadav, Asha Rani, et al.
Biomedical Signal Processing and Control (2022) Vol. 78, pp. 103876-103876
Closed Access | Times Cited: 24
Diabetes Detection and Management through Photoplethysmographic and Electrocardiographic Signals Analysis: A Systematic Review
Serena Zanelli, Mehdi Ammi, Magid Hallab, et al.
Sensors (2022) Vol. 22, Iss. 13, pp. 4890-4890
Open Access | Times Cited: 23
Blood glucose prediction based on imagingphotoplethysmography in combination with Machine learning
Zihan Nie, Meng Rong, Kaiyang Li
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104179-104179
Closed Access | Times Cited: 18
The Use of Photoplethysmography for Blood Glucose Estimation by Noninvasive Method
Vandana C. Bavkar, Arundhati A. Shinde
Lecture notes in electrical engineering (2023), pp. 323-335
Closed Access | Times Cited: 2
A novel multipurpose device for dataset creation and on-device immediate estimation of blood glucose level from reflection ppg
Kazi Mosaddequr, Tanzilur Rahman
Heliyon (2023) Vol. 9, Iss. 9, pp. e19553-e19553
Open Access | Times Cited: 1
DNN Based Blood Glucose Level Estimation Using PPG Characteristic Features of Smartphone Videos
S. M. Taslim Uddin Raju, M. M. A. Hashem
(2022), pp. 13-18
Closed Access | Times Cited: 1
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