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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:

Blood pressure stratification using photoplethysmography and light gradient boosting machine
Xudong Hu, Shimin Yin, Xizhuang Zhang, et al.
Frontiers in Physiology (2023) Vol. 14
Open Access | Times Cited: 18

Showing 18 citing articles:

Optimized deep neural network models for blood pressure classification using Fourier analysis-based time–frequency spectrogram of photoplethysmography signal
Pankaj, Ashish Kumar, Manjeet Kumar, et al.
Biomedical Engineering Letters (2023) Vol. 13, Iss. 4, pp. 739-750
Open Access | Times Cited: 9
Assessment of Mental Workload Level Based on PPG Signal Fusion Continuous Wavelet Transform and Cardiopulmonary Coupling Technology
Han Zhang, Ziyi Wang, Yan Zhuang, et al.
Electronics (2024) Vol. 13, Iss. 7, pp. 1238-1238
Open Access | Times Cited: 3
Recommendations for evaluating photoplethysmography-based algorithms for blood pressure assessment
Mohamed Elgendi, Fridolin Haugg, R. Fletcher, et al.
Communications Medicine (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 3
A novel CS-NET architecture based on the unification of CNN, SVM and super-resolution spectrogram to monitor and classify blood pressure using photoplethysmography
Pankaj, Ashish Kumar, Rama Komaragiri, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 240, pp. 107716-107716
Closed Access | Times Cited: 8
OEDL: an optimized ensemble deep learning method for the prediction of acute ischemic stroke prognoses using union features
Wei Ye, Xicheng Chen, Pengpeng Li, et al.
Frontiers in Neurology (2023) Vol. 14
Open Access | Times Cited: 6
A Systematic Approach Focused on Machine Learning Models for Exploring the Landscape of Physiological Measurement and Estimation Using Photoplethysmography (PPG)
Javed Alam, Mohammad Firoz Khan, Meraj Alam Khan, et al.
Journal of Cardiovascular Translational Research (2023) Vol. 17, Iss. 3, pp. 669-684
Closed Access | Times Cited: 4
Enhancing Non-Invasive Colorectal Cancer Screening with Stool DNA Methylation Markers and LightGBM Machine Learning
Yi Xiang, Yang Na, Yunlong Zhu, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
Predicting time-to-harvest in mixed-species forests using a random survival forest algorithm
Dinuka Madhushan Senevirathne, Sheng-I Yang, Consuelo Brandeis, et al.
Forest Ecosystems (2024) Vol. 11, pp. 100236-100236
Open Access | Times Cited: 1
Personalized Blood Pressure Estimation using Multiview Fusion Information of Wearable Physiological Signals and Transfer Learning
Jian Liu, Shuaicong Hu, Yanan Wang, et al.
Applied Soft Computing (2024) Vol. 167, pp. 112390-112390
Closed Access | Times Cited: 1
Estimation of Systolic and Diastolic Blood Pressure in a Non-Contact Method Using Microwaves
Miyu Matsuda, Jiang Liu, Taka‐aki Nakada, et al.
(2024), pp. 638-639
Closed Access
Assessing the utility of natural language processing for detecting postoperative complications from free medical text
Emilie Even Dencker, Alexander Bonde, Anders Troelsen, et al.
BJS Open (2024) Vol. 8, Iss. 2
Open Access
Light gradient boost tree classifier predictions on appendicitis with periodontal disease from biochemical and clinical parameters
Pradeep Kumar Yadalam, Prathiksha Vedhavalli Thirukkumaran, Prabhu Manickam Natarajan, et al.
Frontiers in Oral Health (2024) Vol. 5
Open Access
Prediction of in-hospital mortality risk for patients with acute ST-elevation myocardial infarction after primary PCI based on predictors selected by GRACE score and two feature selection methods
Nan Tang, Shuang Liu, Kangming Li, et al.
Frontiers in Cardiovascular Medicine (2024) Vol. 11
Open Access
Development of a predictive model for gastrointestinal side effects of metformin treatment in Chinese individuals with type 2 diabetes based on four randomised clinical trials
Weihao Wang, Yujia Han, Xun Jiang, et al.
Diabetes Obesity and Metabolism (2024) Vol. 27, Iss. 2, pp. 953-964
Closed Access
A Novel Non-Invasive Cuff-Less Method for Continuous Blood Pressure Estimation Using Machine Learning and Photoplethysmography
Ren Xiang Yak, Zi Heng Ng, Zhi Qing Looi, et al.
TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON) (2024), pp. 777-781
Closed Access
Anomaly Detection in Multi-Wavelength Photoplethysmography Using Lightweight Machine Learning Algorithms
Vlad-Eusebiu Baciu, Joan Lambert Cause, Ángel Solé Morillo, et al.
Sensors (2023) Vol. 23, Iss. 15, pp. 6947-6947
Open Access | Times Cited: 1
Automated myocardial infarction and angina detection using second derivative of photoplethysmography
Neha Neha, H. K. Sardana, Neelam Dahiya, et al.
Physical and Engineering Sciences in Medicine (2023) Vol. 46, Iss. 3, pp. 1259-1269
Closed Access
Pearls and pitfalls of cuffless blood pressure monitoring devices
Radu-Alexandru Iacobescu, Bogdan-Danut Florescu, Alina-Mihaela Dimache, et al.
Romanian Medical Journal (2023) Vol. 70, Iss. 3, pp. 118-122
Open Access
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