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:

Identifying Obstructive Sleep Apnea by Exploiting Fine-Grained BCG Features Based on Event Phase Segmentation
F Liu, Xingshe Zhou, Zhu Wang, et al.
(2016), pp. 293-300
Closed Access | Times Cited: 25

Showing 25 citing articles:

Non-invasive enhanced hypertension detection through ballistocardiograph signals with Mamba model
Adi Alhudhaif, Kemal Polat
PeerJ Computer Science (2025) Vol. 11, pp. e2711-e2711
Open Access

A Method of Sleeping Breathing Signal Recognition
Cai Chen, Ningling Zhang, Danyang Lv, et al.
(2025), pp. 584-592
Closed Access

An Attention-based Hybrid LSTM-CNN Model for Arrhythmias Classification
Fan Liu, Xingshe Zhou, Tianben Wang, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2019), pp. 1-8
Closed Access | Times Cited: 35

Investigating Cardiorespiratory Interaction Using Ballistocardiography and Seismocardiography—A Narrative Review
Paniz Balali, Jérémy Rabineau, Amin Hossein, et al.
Sensors (2022) Vol. 22, Iss. 23, pp. 9565-9565
Open Access | Times Cited: 21

Unobtrusive Mattress-Based Identification of Hypertension by Integrating Classification and Association Rule Mining
Fan Liu, Xingshe Zhou, Zhu Wang, et al.
Sensors (2019) Vol. 19, Iss. 7, pp. 1489-1489
Open Access | Times Cited: 28

Arrhythmias Classification by Integrating Stacked Bidirectional LSTM and Two-Dimensional CNN
Fan Liu, Xingshe Zhou, Jinli Cao, et al.
Lecture notes in computer science (2019), pp. 136-149
Closed Access | Times Cited: 27

Computer aided detection of breathing disorder from ballistocardiography signal using convolutional neural network
Dalibor Cimr, Filip Studnička, Hamido Fujita, et al.
Information Sciences (2020) Vol. 541, pp. 207-217
Closed Access | Times Cited: 27

A LSTM and CNN Based Assemble Neural Network Framework for Arrhythmias Classification
Fan Liu, Xingshe Zhou, Jinli Cao, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2019), pp. 1303-1307
Closed Access | Times Cited: 25

Automatic detection of breathing disorder from ballistocardiography signals
Dalibor Cimr, Filip Studnička
Knowledge-Based Systems (2019) Vol. 188, pp. 104973-104973
Closed Access | Times Cited: 18

Application of mechanical trigger for unobtrusive detection of respiratory disorders from body recoil micro-movements
Dalibor Cimr, Filip Studnička, Hamido Fujita, et al.
Computer Methods and Programs in Biomedicine (2021) Vol. 207, pp. 106149-106149
Closed Access | Times Cited: 14

OSA-weigher: an automated computational framework for identifying obstructive sleep apnea based on event phase segmentation
F Liu, Xingshe Zhou, Zhu Wang, et al.
Journal of Ambient Intelligence and Humanized Computing (2018) Vol. 10, Iss. 5, pp. 1937-1954
Closed Access | Times Cited: 12

Identifying episodes of sleep apnea in ECG by machine learning methods
Kateryna Ivanko, N. Ivanushkina, Anna Kostiantynivna Rykhalska
(2020), pp. 588-593
Closed Access | Times Cited: 11

Performance comparison of CNN and LSTM algorithms for arrhythmia classification
Shahab Ul Hassan, Mohd Soperi Mohd Zahid, Khaleel Husain
(2020), pp. 223-228
Closed Access | Times Cited: 10

Identification of Hypertension by Mining Class Association Rules from Multi-dimensional Features
Fan Liu, Xingshe Zhou, Zhu Wang, et al.
2022 26th International Conference on Pattern Recognition (ICPR) (2018), pp. 3114-3119
Closed Access | Times Cited: 8

Enabling Efficient Stroke Prediction by Exploring Sleep Related Features
Jia Xie, Zhu Wang, Zhiwen Yu, et al.
(2018), pp. 452-461
Closed Access | Times Cited: 5

MONITORING OF NON-INVASIVE VITAL SIGNS FOR DETECTION OF SLEEP APNEA
Han Zhang, Weiwei Zhu, SONGBIN YE, et al.
Journal of Mechanics in Medicine and Biology (2021) Vol. 21, Iss. 05, pp. 2140007-2140007
Open Access | Times Cited: 4

Research on polygraph technology based on ballistocardiogram signal
Xiaolong Li, Chaoyong Deng, Qiwei Wu, et al.
2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) (2020)
Closed Access | Times Cited: 3

C-MWCAR: Classification Based on Multiple Weighted Class Association Rules
Li Gui, Fan Liu, Cheng Wu, et al.
Applied Sciences (2023) Vol. 13, Iss. 14, pp. 8082-8082
Open Access | Times Cited: 1

Physiological parameters extraction by contactless accelerometric signal analysis during sleep
Ennio Gambi, Linda Senigagliesi, Manola Ricciuti
Journal of Ambient Intelligence and Humanized Computing (2023) Vol. 15, Iss. 5, pp. 2795-2806
Open Access | Times Cited: 1

Res_1D_CNN and BiLSTM with Attention Mechanism Integration for Arrhythmia Diagnosis
Wissal Midani, Wael Ouarda, Mounir Ben Ayed
Communications in computer and information science (2023), pp. 753-764
Closed Access

Domain - Aware Spatial-Temporal Graph Convolutional Network for Sleep Apnea Detection via Multivariant BCG Signals
Yongfeng Huang, Kuiyou Chen, Zhiming Zhang
ICC 2022 - IEEE International Conference on Communications (2023), pp. 5515-5520
Closed Access

Detect and investigation of upperairways by using region on growing segmentation during sleep
Venkat Ghodke, Pratima Gosavi
2017 2nd International Conference on Telecommunication and Networks (TEL-NET) (2017), pp. 1-4
Closed Access

Detection of Episodes of Sleep Apnea and Hypopnea in ECG and EEG Signals by Machine Learning
Anna Kostiantynivna Rykhalska, Kateryna Ivanko, N. Ivanushkina, et al.
Microsystems Electronics and Acoustics (2022) Vol. 27, Iss. 1, pp. 251487-11
Open Access

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