Open Access Helper

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:

Novel statistical time series data augmentation and machine learning based classification of unobtrusive respiration data for respiration Digital Twin model
Sagheer Khan, Aaesha Alzaabi, Tharmalingam Ratnarajah, et al.
Computers in Biology and Medicine (2023) Vol. 168, pp. 107825-107825
Open Access | Times Cited: 13

Showing 13 citing articles:

Configuration Testing of an Artificial Pancreas System Using a Digital Twin: An Evaluative Case Study
Richard Somers, Neil Walkinshaw, Robert M. Hierons, et al.
Software Testing Verification and Reliability (2025) Vol. 35, Iss. 2
Open Access | Times Cited: 1
Digital Twins for Healthcare Using Wearables
Zachary D. Johnson, Manob Jyoti Saikia
Bioengineering (2024) Vol. 11, Iss. 6, pp. 606-606
Open Access | Times Cited: 5
Digital Twins Generated by Artificial Intelligence in Personalized Healthcare
M. Łukaniszyn, Łukasz Majka, Barbara Grochowicz, et al.
Applied Sciences (2024) Vol. 14, Iss. 20, pp. 9404-9404
Open Access | Times Cited: 5
Application of artificial intelligence in active assisted living for aging population in real-world setting with commercial devices – A scoping review
Kang Wang, Moojan Ghafurian, Dmytro Chumachenko, et al.
Computers in Biology and Medicine (2024) Vol. 173, pp. 108340-108340
Open Access | Times Cited: 4
Medical sensor network, blockchain and digital twin as the backbones of a connected ecosystem of smart hospitals
Xavier Fernando, George Lăzăroiu
Elsevier eBooks (2025), pp. 109-128
Closed Access
Revolutionizing biological digital twins: Integrating internet of bio-nano things, convolutional neural networks, and federated learning
Mohammad Jamshidi, Dinh Thai Hoang, Diep N. Nguyen, et al.
Computers in Biology and Medicine (2025) Vol. 189, pp. 109970-109970
Open Access
The Next Generation of Health Monitoring
Wasswa Shafik
Advances in computational intelligence and robotics book series (2025), pp. 69-106
Closed Access
Radio Frequency-Enabled Cerebral Blood Flow Monitoring and Classification Using Data Augmentation and Machine Learning Techniques
Usman Anwar, Sagheer Khan, Tughrul Arslan, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 19, pp. 31040-31053
Closed Access | Times Cited: 2
Achieving More with Less: A Lightweight Deep Learning Solution for Advanced Human Activity Recognition (HAR)
Sarab AlMuhaideb, Lama AlAbdulkarim, Deemah Mohammed AlShahrani, et al.
Sensors (2024) Vol. 24, Iss. 16, pp. 5436-5436
Open Access | Times Cited: 2
Applications of Artificial Intelligence-Based Patient Digital Twins in Decision Support in Rehabilitation and Physical Therapy
Emilia Mikołajewska, Jolanta Masiak, Dariusz Mikołajewski
Electronics (2024) Vol. 13, Iss. 24, pp. 4994-4994
Open Access | Times Cited: 2
Human Factors and Security in Digital Twins: Challenges and Future Prospects
Sanjay Misra, Kousik Barik, Harald Thunem, et al.
Lecture notes in computer science (2024), pp. 281-295
Closed Access
Audio feature augmentation for bolt looseness classification in data-deficient scenarios using machine learning
Nikesh Chelimilla, Viswanath Chinthapenta, Srikanth Korla
Nondestructive Testing And Evaluation (2024), pp. 1-24
Closed Access
Prediction of Capillary Pressure Curves Based on Particle Size Using Machine Learning
Xinghua Qi, Yuxuan Wei, Shimao Wang, et al.
Processes (2024) Vol. 12, Iss. 10, pp. 2306-2306
Open Access
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