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:

A Novel Cuffless Blood Pressure Prediction: Uncovering New Features and New Hybrid ML Models
Majid Nour, Kemal Polat, Ümit Şentürk, et al.
Diagnostics (2023) Vol. 13, Iss. 7, pp. 1278-1278
Open Access | Times Cited: 7

Showing 7 citing articles:

Advancements and future outlook of Artificial Intelligence in energy and climate change modeling
Mobolaji Shobanke, Mehul Bhatt, Ekundayo Shittu
Advances in Applied Energy (2025), pp. 100211-100211
Open Access | Times Cited: 1

Türkiye’nin Kimyasal Madde İthalatının Gelecek Tahmini: Makine Öğrenmesi ve Topluluk Öğrenme Yöntemleri Performans Analizi
Kâmil Abdullah Eşidir
Fırat Üniversitesi Sosyal Bilimler Dergisi (2025) Vol. 35, Iss. 1, pp. 261-278
Open Access

Non-Invasive Blood Pressure Monitoring with In-ear Infrasonic Hemodynography for Preventative Cardiovascular Care
R. Ciesielski, C. Wong, Jal Panchal, et al.
Research Square (Research Square) (2025)
Closed Access

Video-based beat-by-beat blood pressure monitoring via transfer deep-learning
Osama A. Omer, Mostafa Salah, Loay Hassan, et al.
Applied Intelligence (2024) Vol. 54, Iss. 6, pp. 4564-4584
Open Access | Times Cited: 3

From video to vital signs: using personal device cameras to measure pulse rate and predict blood pressure using explainable AI
Lieke D. van Putten, Kate Emily Bamford, Ivan Veleslavov, et al.
Deleted Journal (2024) Vol. 6, Iss. 4
Open Access | Times Cited: 1

Blood pressure estimation and classification using a reference signal-less photoplethysmography signal: a deep learning framework
Pankaj, Ashish Kumar, Rama Komaragiri, et al.
Physical and Engineering Sciences in Medicine (2023) Vol. 46, Iss. 4, pp. 1589-1605
Closed Access | Times Cited: 4

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