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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:

Fitbeat: COVID-19 estimation based on wristband heart rate using a contrastive convolutional auto-encoder
Shuo Liu, Jing Han, Estela Laporta, et al.
Pattern Recognition (2021) Vol. 123, pp. 108403-108403
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Audio self-supervised learning: A survey
Shuo Liu, Adria Mallol-Ragolta, Emilia Parada‐Cabaleiro, et al.
Patterns (2022) Vol. 3, Iss. 12, pp. 100616-100616
Open Access | Times Cited: 73
Exploring patient medication adherence and data mining methods in clinical big data: A contemporary review
Yixian Xu, Xinkai Zheng, Yuanjie Li, et al.
Journal of Evidence-Based Medicine (2023) Vol. 16, Iss. 3, pp. 342-375
Open Access | Times Cited: 33
Non-contact PPG signal and heart rate estimation with multi-hierarchical convolutional network
Bin Li, Panpan Zhang, Jinye Peng, et al.
Pattern Recognition (2023) Vol. 139, pp. 109421-109421
Open Access | Times Cited: 32
The usability of daytime and night-time heart rate dynamics as digital biomarkers of depression severity
Sara Siddi, Raquel Bailón, Iago Giné-Vázquez, et al.
Psychological Medicine (2023) Vol. 53, Iss. 8, pp. 3249-3260
Open Access | Times Cited: 21
PCovNet: A presymptomatic COVID-19 detection framework using deep learning model using wearables data
Farhan Fuad Abir, Khalid Alyafei, Muhammad E. H. Chowdhury, et al.
Computers in Biology and Medicine (2022) Vol. 147, pp. 105682-105682
Open Access | Times Cited: 23
Multi-branch LSTM encoded latent features with CNN-LSTM for Youtube popularity prediction
Neeti Sangwan, Vishal Bhatnagar
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Exploring the dynamic relationships between nocturnal heart rate, sleep disruptions, anxiety levels, and depression severity over time in recurrent major depressive disorder
Elena Condominas, Albert Sánchez‐Niubò, Joan Domènech‐Abella, et al.
Journal of Affective Disorders (2025) Vol. 376, pp. 139-148
Closed Access
RhythmFormer: Extracting patterned rPPG signals based on periodic sparse attention
Bochao Zou, Zizheng Guo, Jiansheng Chen, et al.
Pattern Recognition (2025), pp. 111511-111511
Open Access
PCovNet+: A CNN-VAE anomaly detection framework with LSTM embeddings for smartwatch-based COVID-19 detection
Farhan Fuad Abir, Muhammad E. H. Chowdhury, Malisha Islam Tapotee, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 122, pp. 106130-106130
Open Access | Times Cited: 11
The Importance of Data Quality Control in Using Fitbit Device Data From the Research Program
Lauren Lederer, Amanda Breton, Hayoung Jeong, et al.
JMIR mhealth and uhealth (2023) Vol. 11, pp. e45103-e45103
Open Access | Times Cited: 9
Consumer-grade wearables identify changes in multiple physiological systems during COVID-19 disease progression
Caleb Mayer, Jonathan Tyler, Yu Fang, et al.
Cell Reports Medicine (2022) Vol. 3, Iss. 4, pp. 100601-100601
Open Access | Times Cited: 14
CovidRhythm: A Deep Learning Model for Passive Prediction of Covid-19 Using Biobehavioral Rhythms Derived From Wearable Physiological Data
Atifa Sarwar, Emmanuel Agu, Abdulsalam Almadani
IEEE Open Journal of Engineering in Medicine and Biology (2023) Vol. 4, pp. 21-30
Open Access | Times Cited: 7
Enabling Multicentric Participatory Disease Surveillance for Global Health Enhancement: Viewpoint on Global Flu View
Onício Leal Neto, Daniela Paolotti, Craig Dalton, et al.
JMIR Public Health and Surveillance (2023) Vol. 9, pp. e46644-e46644
Open Access | Times Cited: 7
Contrastive Learning with Dynamic Weighting and Jigsaw Augmentation for Brain Tumor Classification in MRI
Guanghua Xiao, Huibin Wang, Jie Shen, et al.
Neural Processing Letters (2023) Vol. 55, Iss. 4, pp. 3733-3761
Closed Access | Times Cited: 6
Feasibility and scalability of a fitness tracker study: Results from a longitudinal analysis of persons with multiple sclerosis
Chloé Sieber, Christina Haag, Ashley Polhemus, et al.
Frontiers in Digital Health (2023) Vol. 5
Open Access | Times Cited: 6
Biopsychosocial Response to the COVID-19 Lockdown in People with Major Depressive Disorder and Multiple Sclerosis
Sara Siddi, Iago Giné-Vázquez, Raquel Bailón, et al.
Journal of Clinical Medicine (2022) Vol. 11, Iss. 23, pp. 7163-7163
Open Access | Times Cited: 10
Introducing the COVID-19 YouTube (COVYT) speech dataset featuring the same speakers with and without infection
Andreas Triantafyllopoulos, Anastasia Semertzidou, Meishu Song, et al.
Biomedical Signal Processing and Control (2023) Vol. 88, pp. 105642-105642
Closed Access | Times Cited: 4
Opportune warning of COVID-19 in a Mexican health care worker cohort: Discrete beta distribution entropy of smartwatch physiological records
Alejandro Aguado-García, América Arroyo-Valerio, Galileo Escobedo, et al.
Biomedical Signal Processing and Control (2023) Vol. 84, pp. 104975-104975
Open Access | Times Cited: 3
Evaluating Listening Performance for COVID-19 Detection by Clinicians and Machine Learning: Comparative Study
Jing Han, Marco Montagna, Andreas Grammenos, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e44804-e44804
Open Access | Times Cited: 3
Journaling Data for Daily PHQ-2 Depression Prediction and Forecasting
Alexander Kathan, Andreas Triantafyllopoulos, Xiangheng He, et al.
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (2022)
Open Access | Times Cited: 5
Advancements in SARS-CoV-2 Testing: Enhancing Accessibility through Machine Learning-Enhanced Biosensors
Antonios Georgas, Konstantinos Georgas, Evangelos Hristoforou
Micromachines (2023) Vol. 14, Iss. 8, pp. 1518-1518
Open Access | Times Cited: 2
Few-shot meta-learning for pre-symptomatic detection of Covid-19 from limited health tracker data
Atifa Sarwar, Abdulsalam Almadani, Emmanuel Agu
Smart Health (2024) Vol. 32, pp. 100459-100459
Open Access
Focused review on artificial intelligence for disease detection in infants
Katrin D. Bartl-Pokorny, Claudia Zitta, Markus Beirit, et al.
Frontiers in Digital Health (2024) Vol. 6
Open Access
Hybrid unsupervised representation learning and pseudo-label supervised self-distillation for rare disease imaging phenotype classification with dispersion-aware imbalance correction
Jinghan Sun, Dong Wei, Liansheng Wang, et al.
Medical Image Analysis (2024) Vol. 93, pp. 103102-103102
Closed Access
Information theory reveals physiological manifestations of COVID-19 that correlate with symptom density of illness
Jacob M. Ryan, Shreenithi Navaneethan, Natalie Damaso, et al.
Frontiers in Network Physiology (2024) Vol. 4
Open Access
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