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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:

PhysOnline: An Open Source Machine Learning Pipeline for Real-Time Analysis of Streaming Physiological Waveform
Jacob R. Sutton, Ruhi Mahajan, Oğuz Akbilgiç, et al.
IEEE Journal of Biomedical and Health Informatics (2018) Vol. 23, Iss. 1, pp. 59-65
Closed Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

RETRACTED ARTICLE: An enhanced diabetic retinopathy detection and classification approach using deep convolutional neural network
D. Jude Hemanth, Ömer Deperlioğlu, Utku Köse
Neural Computing and Applications (2019) Vol. 32, Iss. 3, pp. 707-721
Closed Access | Times Cited: 247
Big data analytics for personalized medicine
Davide Cirillo, Alfonso Valencia
Current Opinion in Biotechnology (2019) Vol. 58, pp. 161-167
Open Access | Times Cited: 219
A Survey of Voice Pathology Surveillance Systems Based on Internet of Things and Machine Learning Algorithms
Fahad Taha AL‐Dhief, N. M. Abdul Latiff, Nik Noordini Nik Abd Malik, et al.
IEEE Access (2020) Vol. 8, pp. 64514-64533
Open Access | Times Cited: 113
A Review on the State of the Art in Atrial Fibrillation Detection Enabled by Machine Learning
Ali Rizwan, Ahmed Zoha, Ismail Ben Mabrouk, et al.
IEEE Reviews in Biomedical Engineering (2020) Vol. 14, pp. 219-239
Open Access | Times Cited: 89
Automated diabetic retinopathy screening using deep learning
Sarra Guefrachi, Amira Echtioui, Habib Hamam
Multimedia Tools and Applications (2024) Vol. 83, Iss. 24, pp. 65249-65266
Closed Access | Times Cited: 14
Predicting patient decompensation from continuous physiologic monitoring in the emergency department
Sameer Sundrani, Julie Y. Chen, Boyang Tom Jin, et al.
npj Digital Medicine (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 19
Rethinking multiscale cardiac electrophysiology with machine learning and predictive modelling
Chris D. Cantwell, Yumnah Mohamied, Konstantinos N. Tzortzis, et al.
Computers in Biology and Medicine (2018) Vol. 104, pp. 339-351
Open Access | Times Cited: 49
Differential gene expression analysis reveals novel genes and pathways in pediatric septic shock patients
Akram Mohammed, Yan Cui, Valeria R. Mas, et al.
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 32
A practical approach to storage and retrieval of high-frequency physiological signals
Andrew J. Goodwin, Danny Eytan, Robert W. Greer, et al.
Physiological Measurement (2020) Vol. 41, Iss. 3, pp. 035008-035008
Open Access | Times Cited: 25
Automatic Detection of Atrial Fibrillation in ECG Using Co-Occurrence Patterns of Dynamic Symbol Assignment and Machine Learning
Nagarajan Ganapathy, Diana Baumgärtel, Thomas M. Deserno
Sensors (2021) Vol. 21, Iss. 10, pp. 3542-3542
Open Access | Times Cited: 22
Electrocardiographic changes predate Parkinson’s disease onset
Oğuz Akbilgiç, Rishikesan Kamaleswaran, Akram Mohammed, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 22
AnoML-IoT: An end to end re-configurable multi-protocol anomaly detection pipeline for Internet of Things
Hakan Kayan, Yasar Majib, Wael Alsafery, et al.
Internet of Things (2021) Vol. 16, pp. 100437-100437
Open Access | Times Cited: 19
Predicting presumed serious infection among hospitalized children on central venous lines with machine learning
Azade Tabaie, Evan Orenstein, Shamim Nemati, et al.
Computers in Biology and Medicine (2021) Vol. 132, pp. 104289-104289
Open Access | Times Cited: 17
Real-Time Heart Arrhythmia Detection Using Apache Spark Structured Streaming
Sadegh Ilbeigipour, Amir Albadvi, Elham Akhondzadeh Noughabi
Journal of Healthcare Engineering (2021) Vol. 2021, pp. 1-13
Open Access | Times Cited: 17
Altered Heart Rate Variability Early in ICU Admission Differentiates Critically Ill Coronavirus Disease 2019 and All-Cause Sepsis Patients
Rishikesan Kamaleswaran, Ofer Sadan, Prem Kandiah, et al.
Critical Care Explorations (2021) Vol. 3, Iss. 12, pp. e0570-e0570
Open Access | Times Cited: 16
Performance analysis of disease diagnostic system using IoMT and real‐time data analytics
Emre Yıldırım, Ali Çalhan, Murtaza Ci̇ci̇oğlu
Concurrency and Computation Practice and Experience (2022) Vol. 34, Iss. 13
Closed Access | Times Cited: 9
Probabilistic Hesitant Fuzzy Methods for Prioritizing Distributed Stream Processing Frameworks for IoT Applications
Zhimin Lin, Chao Huang, Ming‐Wei Lin
Mathematical Problems in Engineering (2021) Vol. 2021, pp. 1-12
Open Access | Times Cited: 10
Big Data in the Assessment of Pediatric Medication Safety
Ann McMahon, William O. Cooper, Jeffrey S. Brown, et al.
PEDIATRICS (2020) Vol. 145, Iss. 2
Open Access | Times Cited: 9
Distributed data filtering and modeling for fog and networked manufacturing
Yifu Li, Lening Wang, Xiaoyu Chen, et al.
IISE Transactions (2023) Vol. 56, Iss. 5, pp. 485-496
Open Access | Times Cited: 3
Changes in non-linear and time-domain heart rate variability indices between critically ill COVID-19 and all-cause sepsis patients – a retrospective study
Rishikesan Kamaleswaran, Ofer Sadan, Prem Kandiah, et al.
medRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 8
Real-Time Data Streaming Algorithms and Processing Technologies: A Survey
Alramzana Nujum Navaz, Saad Harous, Mohamed Adel Serhani, et al.
(2019), pp. 246-250
Closed Access | Times Cited: 7
A Heterogeneous Multi-Core Based Biomedical Application Processing System and Programming Toolkit
Tassadaq Hussain, Amna Haider, Abdelmalik Taleb‐Ahmed
Journal of Signal Processing Systems (2019) Vol. 91, Iss. 8, pp. 963-978
Closed Access | Times Cited: 6
Deep learning-based diabetic retinopathy detection for multiclass imbalanced data
Shukla Mondal, Kaniz Fatima Mian, Abhishek Das
Elsevier eBooks (2021), pp. 307-316
Closed Access | Times Cited: 6
Hierarchical Multiresolution Representation of Streaming Time Series
Igor Manojlović, Goran Švenda, Aleksandar Erdeljan, et al.
Big Data Research (2021) Vol. 26, pp. 100256-100256
Closed Access | Times Cited: 6
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