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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:

Distinct phenotypes of hospitalized patients with hyperkalemia by machine learning consensus clustering and associated mortality risks
Charat Thongprayoon, Andrea G. Kattah, Michael A. Mao, et al.
QJM (2021) Vol. 115, Iss. 7, pp. 442-449
Open Access | Times Cited: 22

Showing 22 citing articles:

AI-Powered Renal Diet Support: Performance of ChatGPT, Bard AI, and Bing Chat
Ahmad Qarajeh, Supawit Tangpanithandee, Charat Thongprayoon, et al.
Clinics and Practice (2023) Vol. 13, Iss. 5, pp. 1160-1172
Open Access | Times Cited: 47
Use of Machine Learning Consensus Clustering to Identify Distinct Subtypes of Black Kidney Transplant Recipients and Associated Outcomes
Charat Thongprayoon, Pradeep Vaitla, Caroline C. Jadlowiec, et al.
JAMA Surgery (2022) Vol. 157, Iss. 7, pp. e221286-e221286
Open Access | Times Cited: 36
Exploring the Potential of Chatbots in Critical Care Nephrology
Supawadee Suppadungsuk, Charat Thongprayoon, Jing Miao, et al.
Medicines (2023) Vol. 10, Iss. 10, pp. 58-58
Open Access | Times Cited: 22
Machine learning models for early prediction of potassium lowering effectiveness and adverse events in patients with hyperkalemia
Wei Huang, Jianyong Zhu, Cong-Ying Song, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Information bottleneck fusion for deep multi-view clustering
Jie Hu, Chenghao Yang, Kai Huang, et al.
Knowledge-Based Systems (2024) Vol. 289, pp. 111551-111551
Closed Access | Times Cited: 2
Distinct phenotypes of kidney transplant recipients aged 80 years or older in the USA by machine learning consensus clustering
Charat Thongprayoon, Caroline C. Jadlowiec, Shennen A. Mao, et al.
BMJ Surgery Interventions & Health Technologies (2023) Vol. 5, Iss. 1, pp. e000137-e000137
Open Access | Times Cited: 6
Machine Learning Consensus Clustering Approach for Hospitalized Patients with Phosphate Derangements
Charat Thongprayoon, Carissa Dumancas, Voravech Nissaisorakarn, et al.
Journal of Clinical Medicine (2021) Vol. 10, Iss. 19, pp. 4441-4441
Open Access | Times Cited: 12
Machine Learning Consensus Clustering of Morbidly Obese Kidney Transplant Recipients in the United States
Charat Thongprayoon, Shennen A. Mao, Caroline C. Jadlowiec, et al.
Journal of Clinical Medicine (2022) Vol. 11, Iss. 12, pp. 3288-3288
Open Access | Times Cited: 9
Hypernatremia subgroups among hospitalized patients by machine learning consensus clustering with different patient survival
Charat Thongprayoon, Michael A. Mao, Mira T. Keddis, et al.
Journal of Nephrology (2021) Vol. 35, Iss. 3, pp. 921-929
Closed Access | Times Cited: 11
CPSO: Chaotic Particle Swarm Optimization for Cluster Analysis
Jiaji Wang
Journal of Artificial Intelligence and Technology (2023)
Open Access | Times Cited: 4
Use of Machine Learning Consensus Clustering to Identify Distinct Subtypes of Kidney Transplant Recipients With DGF and Associated Outcomes
Caroline C. Jadlowiec, Charat Thongprayoon, Napat Leeaphorn, et al.
Transplant International (2022) Vol. 35
Open Access | Times Cited: 7
Machine Learning Consensus Clustering of Hospitalized Patients with Admission Hyponatremia
Charat Thongprayoon, Panupong Hansrivijit, Michael A. Mao, et al.
Diseases (2021) Vol. 9, Iss. 3, pp. 54-54
Open Access | Times Cited: 9
Subtyping Hyperchloremia among Hospitalized Patients by Machine Learning Consensus Clustering
Charat Thongprayoon, Voravech Nissaisorakarn, Pattharawin Pattharanitima, et al.
Medicina (2021) Vol. 57, Iss. 9, pp. 903-903
Open Access | Times Cited: 8
Clinically Distinct Subtypes of Acute Kidney Injury on Hospital Admission Identified by Machine Learning Consensus Clustering
Charat Thongprayoon, Pradeep Vaitla, Voravech Nissaisorakarn, et al.
Medical Sciences (2021) Vol. 9, Iss. 4, pp. 60-60
Open Access | Times Cited: 8
Distinct Subtypes of Hepatorenal Syndrome and Associated Outcomes as Identified by Machine Learning Consensus Clustering
Supawit Tangpanithandee, Charat Thongprayoon, Pajaree Krisanapan, et al.
Diseases (2023) Vol. 11, Iss. 1, pp. 18-18
Open Access | Times Cited: 3
Differences between Very Highly Sensitized Kidney Transplant Recipients as Identified by Machine Learning Consensus Clustering
Charat Thongprayoon, Jing Miao, Caroline C. Jadlowiec, et al.
Medicina (2023) Vol. 59, Iss. 5, pp. 977-977
Open Access | Times Cited: 3
Subtyping hospitalized patients with hypokalemia by machine learning consensus clustering and associated mortality risks
Charat Thongprayoon, Michael A. Mao, Andrea G. Kattah, et al.
Clinical Kidney Journal (2021) Vol. 15, Iss. 2, pp. 253-261
Open Access | Times Cited: 6
Differences between kidney retransplant recipients as identified by machine learning consensus clustering
Charat Thongprayoon, Pradeep Vaitla, Caroline C. Jadlowiec, et al.
Clinical Transplantation (2023) Vol. 37, Iss. 5
Closed Access | Times Cited: 2
Distinct clinical profiles and post-transplant outcomes among kidney transplant recipients with lower education levels: uncovering patterns through machine learning clustering
Charat Thongprayoon, Jing Miao, Caroline C. Jadlowiec, et al.
Renal Failure (2023) Vol. 45, Iss. 2
Open Access | Times Cited: 2
Distinct Phenotypes of Non-Citizen Kidney Transplant Recipients in the United States by Machine Learning Consensus Clustering
Charat Thongprayoon, Pradeep Vaitla, Caroline C. Jadlowiec, et al.
Medicines (2023) Vol. 10, Iss. 4, pp. 25-25
Open Access | Times Cited: 1
Distinct Phenotypes of Kidney Transplant Recipients in the United States with Limited Functional Status as Identified through Machine Learning Consensus Clustering
Charat Thongprayoon, Caroline C. Jadlowiec, Wisit Kaewput, et al.
Journal of Personalized Medicine (2022) Vol. 12, Iss. 6, pp. 859-859
Open Access | Times Cited: 2
Clinical Phenotypes of Dual Kidney Transplant Recipients in the United States as Identified through Machine Learning Consensus Clustering
Supawit Tangpanithandee, Charat Thongprayoon, Caroline C. Jadlowiec, et al.
Medicina (2022) Vol. 58, Iss. 12, pp. 1831-1831
Open Access | Times Cited: 2
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