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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:

Establishment and verification of a nomogram prediction model of hypertension risk in Xinjiang Kazakhs
Yuezhen Xu, Jinbao Liu, Jiawei Wang, et al.
Medicine (2021) Vol. 100, Iss. 42, pp. e27600-e27600
Open Access | Times Cited: 13

Showing 13 citing articles:

Fruit and vegetable consumption and the risk of hypertension: a systematic review and meta-analysis of prospective studies
Helga Madsen, Abhijit Sen, Dagfinn Aune
European Journal of Nutrition (2023) Vol. 62, Iss. 5, pp. 1941-1955
Open Access | Times Cited: 45
Development and Validation of a Hypertension Risk Prediction Model Based on Particle Swarm Optimization–Support Vector Machine
Rou You, Qing Tao, Siqi Wang, et al.
Bioengineering (2025) Vol. 12, Iss. 3, pp. 238-238
Open Access
Prognostic risk models for incident hypertension: A PRISMA systematic review and meta-analysis
Filip Emil Schjerven, Frank Lindseth, Ingelin Steinsland
PLoS ONE (2024) Vol. 19, Iss. 3, pp. e0294148-e0294148
Open Access | Times Cited: 3
Development and validation of prediction models for hypertension risks: A cross-sectional study based on 4,287,407 participants
Weidong Ji, Yushan Zhang, Yinlin Cheng, et al.
Frontiers in Cardiovascular Medicine (2022) Vol. 9
Open Access | Times Cited: 9
Nomogram Including Serum Ion Concentrations to Screen for New-Onset Hypertension in Rural Chinese Populations Over a Short-Term Follow-up
Xueyao Zhang, Guangxiao Li, Yingxian Sun
Circulation Journal (2022) Vol. 86, Iss. 9, pp. 1464-1473
Open Access | Times Cited: 7
Evaluating the risk of hypertension in residents in primary care in Shanghai, China with machine learning algorithms
Ning Chen, Fan Feng, Jinsong Geng, et al.
Frontiers in Public Health (2022) Vol. 10
Open Access | Times Cited: 6
Establishment and Countermeasures of Smart City Security Risk Assessment Model
Zhengrui Qiu
Advances in Computer and Communication (2023) Vol. 3, Iss. 2, pp. 70-73
Open Access | Times Cited: 2
Development of hypertension models for lung cancer screening cohorts using clinical and thoracic aorta imaging factors
Jinrong Yang, Jie Yu, Yaolin Wang, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Development and Validation of a Nomogram Model for Predicting the Risk of Hypertension in Bangladesh
Md. Merajul Islam, Jahangir Alam, Sujit Kumar, et al.
Heliyon (2024) Vol. 10, Iss. 22, pp. e40246-e40246
Open Access
Development and validation of a predictive nomogram for vascular crises in oral and maxillofacial cancer patients undergoing free flap surgery
Ying Zheng, Jingya Yu, Yunyu Zhou, et al.
PLoS ONE (2024) Vol. 19, Iss. 12, pp. e0314676-e0314676
Open Access
Development and validation of a model to predict the risk of hypertension using anthropometric indicators in the Chinese population: a retrospective cohort study.
Lixia Wang, Yiwen Wang, Tuo Han, et al.
PubMed (2023) Vol. 15, Iss. 3, pp. 2207-2219
Closed Access
Evaluating the Risk of Hypertension in Residents in Primary Care in Shanghai, China with Machine Learning Algorithms
Ning Chen, Feng Fan, Jinsong Geng, et al.
Research Square (Research Square) (2022)
Open Access
A nomogram including serum ions to screen for new-onset hypertension in rural Chinese populations over a short-term follow-up period: a prospective cohort study
Xueyao Zhang, Guangxiao Li, Chuning Shi, et al.
Research Square (Research Square) (2022)
Open Access
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