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:

Expert diagnostic system for detection of hypertension and diabetes mellitus using discrete wavelet decomposition of photoplethysmogram signal and machine learning technique
M.A. Khan, Bikesh Kumar Singh, Neelamshobha Nirala
Medicine in Novel Technology and Devices (2023) Vol. 19, pp. 100251-100251
Open Access | Times Cited: 8

Showing 8 citing articles:

Application of Wavelet Transformation and Artificial Intelligence Techniques in Healthcare: A Systemic Review
Samiul Based Shuvo, Syed Samiul Alam, Syeda Umme Ayman, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2025) Vol. 15, Iss. 2
Open Access

Automatic identification of hypertension and assessment of its secondary effects using artificial intelligence: A systematic review (2013–2023)
Anjan Gudigar, Nahrizul Adib Kadri, U. Raghavendra, et al.
Computers in Biology and Medicine (2024) Vol. 172, pp. 108207-108207
Open Access | Times Cited: 2

A Systematic Approach Focused on Machine Learning Models for Exploring the Landscape of Physiological Measurement and Estimation Using Photoplethysmography (PPG)
Javed Alam, Mohammad Firoz Khan, Meraj Alam Khan, et al.
Journal of Cardiovascular Translational Research (2023) Vol. 17, Iss. 3, pp. 669-684
Closed Access | Times Cited: 4

Tunable Q -factor wavelet transform based identification of diabetic patients using ECG signals
Anuja Jain, Anurag Verma, Amit Verma, et al.
Computer Methods in Biomechanics & Biomedical Engineering (2024), pp. 1-10
Closed Access | Times Cited: 1

Optimizing machine learning algorithms for diabetes data: A metaheuristic approach to balancing and tuning classifiers parameters
Hauwau Abdulrahman Aliyu, Ibrahim Olawale Muritala, Habeeb Bello-Salau, et al.
Franklin Open (2024) Vol. 8, pp. 100153-100153
Open Access | Times Cited: 1

Type-2 diabetes identification from toe-photoplethysmography using Fourier decomposition method
Bhanupriya Mishra, Neelamshobha Nirala, Bikesh Kumar Singh
Neural Computing and Applications (2023) Vol. 36, Iss. 5, pp. 2429-2443
Closed Access | Times Cited: 2

Determining Human-Hepatitis C Virus Protein Interactions: A Synergism of Fuzzy Multi-Objective Optimization and Machine Intelligent Models
Sajal Mitra, Arijit Chakraborty, Mainak Bhattacharjee, et al.
Next research. (2024), pp. 100105-100105
Closed Access

NOVEL MULTI-MODAL OBSTRUCTION MODULE FOR DIABETES MELLITUS CLASSIFICATION USING EXPLAINABLE MACHINE LEARNING
Reehana SHAIK, S.P. Siddique Ibrahim
Applied Computer Science (2024) Vol. 20, Iss. 4, pp. 39-62
Open Access

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