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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:

Intelligent system to predict intradialytic hypotension in chronic hemodialysis
Cheng‐Jui Lin, Chih-Yang Chen, Pei‐Chen Wu, et al.
Journal of the Formosan Medical Association (2018) Vol. 117, Iss. 10, pp. 888-893
Open Access | Times Cited: 47

Showing 26-50 of 47 citing articles:

Volume management in haemodialysis patients
Emily See, Kevan R. Polkinghorne
Current Opinion in Nephrology & Hypertension (2020) Vol. 29, Iss. 6, pp. 663-670
Closed Access | Times Cited: 8
Relative Change of Protidemia Level Predicts Intradialytic Hypotension
Maureen Assayag, David Levy, P. Séris, et al.
Journal of the American Heart Association (2020) Vol. 9, Iss. 1
Open Access | Times Cited: 7
The New Method of Feature Selection for Intradialytic Hypotension Prediction using Machine learning
Hsiang Wei Hu, Jiun-Yi Yang, Chi-Hin Un, et al.
(2021), pp. 69-70
Closed Access | Times Cited: 6
Real-time dual prediction of intradialytic hypotension and hypertension using an explainable deep learning model
Donghwan Yun, Hyun-Lim Yang, Seong Geun Kim, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 2
Dataset supporting blood pressure prediction for the management of chronic hemodialysis
Cheng‐Jui Lin, Yung‐Ming Chen, Chi‐Feng Pan, et al.
Scientific Data (2019) Vol. 6, Iss. 1
Open Access | Times Cited: 4
A step towards the application of an artificial intelligence model in the prediction of intradialytic complications
Ahmed Mustafa Elbasha, Yasmine Naga, Mai Othman, et al.
Alexandria Journal of Medicine (2022) Vol. 58, Iss. 1, pp. 18-30
Open Access | Times Cited: 3
Model for Predicting Complications of Hemodialysis Patients Using Data from the Internet of Medical Things and Electronic Medical Records
Wen-Huai Hsieh, Cheng‐Yuan Ku, Humble Po-Ching Hwang, et al.
IEEE Journal of Translational Engineering in Health and Medicine (2023) Vol. 11, pp. 375-383
Open Access | Times Cited: 1
Construction and Application of Machine Learning Models for Predicting Intradialytic Hypotension
Pingping Wang, Ningjie Xu, Lingping Wu, et al.
Research Square (Research Square) (2024)
Open Access
Construction and Explanation Analysis of a Hypotension Risk Prediction Model in Hemodialysis Based on Machine Learning
Mingwei Zhang, Tianyi Zhang
Electronics (2024) Vol. 13, Iss. 18, pp. 3773-3773
Open Access
Visual Indicator for Intradialytic Hypotension Prediction Using Variation and Compensation of Heart Rate
Tae-Wuk Bae, Jihyun Park, Jong‐Won Park, et al.
Diagnostics (2024) Vol. 14, Iss. 23, pp. 2664-2664
Open Access
Construction of an Early Alert System for Intradialytic Hypotension Before Initiating Hemodialysis Based on Artificial Intelligence
Daqing Hong, Huan Chang, Xin He, et al.
SSRN Electronic Journal (2022)
Closed Access | Times Cited: 1
Using the Intelligent System to Improve the Delivered Adequacy of Dialysis by Preventing Intradialytic Complications
Mohammad Karimi, Daryoosh Dideban, Hadi Heidari
Journal of Healthcare Engineering (2022) Vol. 2022, pp. 1-10
Open Access | Times Cited: 1
Explainable machine-learning model for Real-Time Prediction of Intradialytic Hypotension (IDH)
ling tan, Zemin Kuang, E Haihong, et al.
Research Square (Research Square) (2023)
Open Access
Development and validation of AI-based triage support algorithms for prevention of intradialytic hypotension
Federica Gervasoni, Francesco Bellocchio, Jaroslav Rosenberger, et al.
Journal of Nephrology (2023) Vol. 36, Iss. 7, pp. 2001-2011
Closed Access
Exploring Factors Influencing Intradialytic Hypotension and Hypertension in Small-Instances Hemodialysis Data: A Data Profiling Approach
Azlin Alisa Ahmad, Mohamad Naqiuddin Mohd Zaini, Ezzatul Akmal Kamaru Zaman, et al.
(2023), pp. 1-6
Closed Access
Highlights
Jia‐Horng Kao
Journal of the Formosan Medical Association (2018) Vol. 117, Iss. 10, pp. 865-867
Open Access
Decompensation Prediction in Hemodialysis by a Feedback Model as Identified by Miniature Wearable Sensors
Lu Wang, Sardar Ansari, Kayvan Najarian, et al.
2022 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM) (2019), pp. 133-138
Closed Access
Strategies for coping with stress related to intradialytic events utilized by patients on hemodialysis at the renal unit, Kenyatta National Hospital.
Lydia Ndanu Muthoka
(2020)
Closed Access
Construction of an early alert system for intradialytic hypotension before initiating hemodialysis based on artificial intelligence (Preprint)
Daqing Hong, Huan J. Chang, Xin He, et al.
(2022)
Closed Access
The pollution of GroundWater with Nitrogen Fertilizers in Al-Mazraa/ Homs/ Syria
Safaa Aldeeb, I.Y. Abdallah, Aber Mohmmad
Association of Arab Universities Journal of Engineering Sciences (2021) Vol. 28, Iss. 1, pp. 99-109
Open Access
Prediction Model of Blood Pressure during Hemodialysis Base on Deep Learning
Guan Wang, Haojie Fan
(2021), pp. 431-436
Closed Access
Machine Learning Analysis of Time-Dependent Features for Predicting Adverse Events During Hemodialysis Therapy: Model Development and Validation Study (Preprint)
Yi‐Shiuan Liu, Chih‐Yu Yang, Chiu‐Ping Fang, et al.
(2021)
Open Access
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