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:
Recent developments in machine learning modeling methods for hypertension treatment
Hirohiko Kohjitani, Hiroshi Koshimizu, Kazuki Nakamura, et al.
Hypertension Research (2024) Vol. 47, Iss. 3, pp. 700-707
Closed Access | Times Cited: 8
Hirohiko Kohjitani, Hiroshi Koshimizu, Kazuki Nakamura, et al.
Hypertension Research (2024) Vol. 47, Iss. 3, pp. 700-707
Closed Access | Times Cited: 8
Showing 8 citing articles:
Application of artificial intelligence in the health management of chronic disease: bibliometric analysis
Minggui Pan, Rong Li, Junfan Wei, et al.
Frontiers in Medicine (2025) Vol. 11
Open Access | Times Cited: 2
Minggui Pan, Rong Li, Junfan Wei, et al.
Frontiers in Medicine (2025) Vol. 11
Open Access | Times Cited: 2
Early Diagnosis of Cardiovascular Diseases in the Era of Artificial Intelligence: An In-Depth Review
Naiela E Almansouri, Mishael Awe, Selvambigay Rajavelu, et al.
Cureus (2024)
Open Access | Times Cited: 7
Naiela E Almansouri, Mishael Awe, Selvambigay Rajavelu, et al.
Cureus (2024)
Open Access | Times Cited: 7
Innovations in blood pressure measurement and reporting technology: International Society of Hypertension position paper endorsed by the World Hypertension League, European Society of Hypertension, Asian Pacific Society of Hypertension, and Latin American Society of Hypertension
Kazuomi Kario, Bryan Williams, Naoko Tomitani, et al.
Journal of Hypertension (2024)
Closed Access | Times Cited: 7
Kazuomi Kario, Bryan Williams, Naoko Tomitani, et al.
Journal of Hypertension (2024)
Closed Access | Times Cited: 7
Machine learning-driven predictions and interventions for cardiovascular occlusions
Anvin Thomas, Rejath Jose, Faiz Syed, et al.
Technology and Health Care (2024) Vol. 32, Iss. 5, pp. 3535-3556
Closed Access | Times Cited: 4
Anvin Thomas, Rejath Jose, Faiz Syed, et al.
Technology and Health Care (2024) Vol. 32, Iss. 5, pp. 3535-3556
Closed Access | Times Cited: 4
Harnessing artificial intelligence for theragnostic applications: Current landscape and future directions
Arundhati Pande, Abhishek Kumar, Ashish Anjankar
Multidisciplinary Reviews (2025) Vol. 8, Iss. 7, pp. 2025218-2025218
Closed Access
Arundhati Pande, Abhishek Kumar, Ashish Anjankar
Multidisciplinary Reviews (2025) Vol. 8, Iss. 7, pp. 2025218-2025218
Closed Access
Revolutionizing AI-driven Hypertension Care: A Review of Current Trends and Future Directions
Zeib Jahangir, Sara Muddassir Qureshi, Yahya Abdul Rehman, et al.
Journal of Science & Technology (2024) Vol. 5, Iss. 4, pp. 99-132
Open Access | Times Cited: 1
Zeib Jahangir, Sara Muddassir Qureshi, Yahya Abdul Rehman, et al.
Journal of Science & Technology (2024) Vol. 5, Iss. 4, pp. 99-132
Open Access | Times Cited: 1
AGE-RELATED TRENDS IN HOSPITALIZATIONS: A OMPREHENSIVE ANALYSIS OF ESSENTIAL ARTERIAL HYPERTENSION CASES IN PUNJAB
Shahzara Shahzara, Ishrat Naveed, Saleemullah Saleemullah, et al.
(2024), pp. 1175-1183
Open Access
Shahzara Shahzara, Ishrat Naveed, Saleemullah Saleemullah, et al.
(2024), pp. 1175-1183
Open Access
Original article and review highlighted in this month of Hypertension Research
Satoshi Hoshide, Masaki Mogi, Kazuomi Kario
Hypertension Research (2024) Vol. 47, Iss. 5, pp. 1095-1096
Open Access
Satoshi Hoshide, Masaki Mogi, Kazuomi Kario
Hypertension Research (2024) Vol. 47, Iss. 5, pp. 1095-1096
Open Access
