Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

PbFG: Physique-based fuzzy granular modeling for non-invasive blood glucose monitoring
Weijie Liu, Anpeng Huang, Ping Wang, et al.
Information Sciences (2019) Vol. 497, pp. 56-76
Closed Access | Times Cited: 11

Showing 11 citing articles:

Photoelectrochemical sensing of titanium oxide nanostructures for the detection of glucose: Fabrication methods and signal enhancement strategies
Roozbeh Siavash Moakhar, Mohammad Mirzaei, Sarah Elizabeth Flynn, et al.
Microchemical Journal (2024) Vol. 201, pp. 110528-110528
Closed Access | Times Cited: 11
Construction of a smart management system for physical health based on IoT and cloud computing with big data
Ning Zhang, Chenfei Zhang, Dengpan Wu
Computer Communications (2021) Vol. 179, pp. 183-194
Closed Access | Times Cited: 13
Optimization and Evaluation of an Intelligent Short-Term Blood Glucose Prediction Model Based on Noninvasive Monitoring and Deep Learning Techniques
Yongjun Zhang, Guangheng Gao
Journal of Healthcare Engineering (2022) Vol. 2022, pp. 1-16
Open Access | Times Cited: 6
An absolute magnitude deviation of HRV for the prediction of prediabetes with combined artificial neural network and regression tree methods
Tobore Igbe, Jingzhen Li, Abhishek Kandwal, et al.
Artificial Intelligence Review (2021) Vol. 55, Iss. 3, pp. 2221-2244
Closed Access | Times Cited: 5
The use of artificial intelligence for non-invasive blood glucose monitoring: A scoping review (Preprint)
Pin Zhong Chan, Eric Yihao Jin, Miia Jansson, et al.
(2024)
Closed Access
AI-based non-invasive blood glucose monitoring: A Scoping Review (Preprint)
Pin Zhong Chan, Eric Jin, Miia Jansson, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e58892-e58892
Open Access
Multi-models with averaging in feature domain for non-invasive blood glucose estimation
Yiting Wei, Bingo Wing‐Kuen Ling, Qinzg Liu, et al.
(2022), pp. 1-6
Closed Access | Times Cited: 2
NIV-NGM - A Novel Non-invasive Blood Glucose Monitoring Method based on Near-infrared Videos
Weijie Liu, Guangyu Wang, Anpeng Huang, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2019), pp. 953-957
Closed Access | Times Cited: 1
2-D Numerical Modeling of Fluid-Structure Interaction Analysis and Absorption Study of the Red Blood Cell Inside the Capillary
Mouna Dhmiri, Yassine Manai, Tahar Ezzedine
2022 IEEE Symposium on Computers and Communications (ISCC) (2023), pp. 1-6
Closed Access
Application of Deep Learning Algorithm in National Fitness Monitoring
Xiaoliang Li, Liping Zhang
Lecture notes on data engineering and communications technologies (2022), pp. 327-334
Closed Access
A review of noninvasive methods applied in diabetes management and treatment
Artur Rydosz
Elsevier eBooks (2022), pp. 157-230
Closed Access
Page 1

Scroll to top