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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:

Detection of maternal and fetal stress from the electrocardiogram with self-supervised representation learning
Pritam Sarkar, Silvia M. Lobmaier, Bibiana Fabre, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

A Review on the Vagus Nerve and Autonomic Nervous System During Fetal Development: Searching for Critical Windows
Francesco Cerritelli, Martin G. Frasch, Marta C. Antonelli, et al.
Frontiers in Neuroscience (2021) Vol. 15
Open Access | Times Cited: 69
State-of-the-Art Deep Learning Methods on Electrocardiogram Data: Systematic Review
Georgios Petmezas, Leandros Stefanopoulos, Vassilis Kilintzis, et al.
JMIR Medical Informatics (2022) Vol. 10, Iss. 8, pp. e38454-e38454
Open Access | Times Cited: 56
Self-Supervised Contrastive Learning for Medical Time Series: A Systematic Review
Ziyu Liu, Azadeh Alavi, Minyi Li, et al.
Sensors (2023) Vol. 23, Iss. 9, pp. 4221-4221
Open Access | Times Cited: 26
Analysis of Augmentations for Contrastive ECG Representation Learning
Sahar Soltanieh, Ali Etemad, Javad Hashemi
2022 International Joint Conference on Neural Networks (IJCNN) (2022), pp. 1-10
Open Access | Times Cited: 25
Pre-training in Medical Data: A Survey
Yixuan Qiu, Feng‐Huei Lin, Weitong Chen, et al.
Deleted Journal (2023) Vol. 20, Iss. 2, pp. 147-179
Open Access | Times Cited: 15
AttX: Attentive Cross-Connections for Fusion of Wearable Signals in Emotion Recognition
Anubhav Bhatti, Behnam Behinaein, Paul Hungler, et al.
ACM Transactions on Computing for Healthcare (2024) Vol. 5, Iss. 3, pp. 1-24
Open Access | Times Cited: 4
Advancements in Fetal Heart Rate Monitoring: A Report on Opportunities and Strategic Initiatives for Better Intrapartum Care
Aimée A. K. Lovers, Martin Däumer, Martin G. Frasch, et al.
BJOG An International Journal of Obstetrics & Gynaecology (2025)
Open Access
Bridging Gaps in Artificial Intelligence Adoption for Maternal-Fetal and Obstetric Care: Unveiling Transformative Capabilities and Challenges
Kalyan Tadepalli, Abhijit Das, Tanushree Meena, et al.
Computer Methods and Programs in Biomedicine (2025) Vol. 263, pp. 108682-108682
Closed Access
Wearable technology for health monitoring during pregnancy: an observational cross-sectional survey study
Colin Wakefield, Lena Yao, Steve Self, et al.
Archives of Gynecology and Obstetrics (2022) Vol. 308, Iss. 1, pp. 73-78
Open Access | Times Cited: 17
In-Distribution and Out-of-Distribution Self-Supervised ECG Representation Learning for Arrhythmia Detection
Sahar Soltanieh, Javad Hashemi, Ali Etemad
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 28, Iss. 2, pp. 789-800
Open Access | Times Cited: 7
Current perspectives on perinatal mental health and neurobehavioral development: focus on regulation, coregulation and self-regulation
Bea Van den Bergh, Marta C. Antonelli, Dan J. Stein
Current Opinion in Psychiatry (2024) Vol. 37, Iss. 3, pp. 237-250
Closed Access | Times Cited: 2
Exploring the Landscape of Ubiquitous In-Home Health Monitoring: A Comprehensive Survey
Farhad Pourpanah, Ali Etemad
ACM Transactions on Computing for Healthcare (2024) Vol. 5, Iss. 4, pp. 1-43
Open Access | Times Cited: 2
Applications of Self-Supervised Learning to Biomedical Signals: A Survey
Federico Del Pup, Manfredo Atzori
IEEE Access (2023) Vol. 11, pp. 144180-144203
Open Access | Times Cited: 6
Active Reinforcement Learning for Personalized Stress Monitoring in Everyday Settings
Ali Tazarv, Sina Labbaf, Amir M. Rahmani, et al.
(2023), pp. 44-55
Open Access | Times Cited: 5
Wearable sensor for psychological stress monitoring of pregnant woman – State of the art
C. Bambang Dwi Kuncoro, A C Efendi, Maria Mahardini Sakanti
Measurement (2023) Vol. 221, pp. 113556-113556
Closed Access | Times Cited: 5
Study Influencing Factors of Maternal Health and the Role of Internet of Things (IoT) to Improve Maternal Care
Deepa Rani, Rajeev Kumar, Naveen Chauhan
SN Computer Science (2024) Vol. 5, Iss. 6
Closed Access | Times Cited: 1
Artificial Intelligence in Pediatric Electrocardiography: A Comprehensive Review
David M. Leone, Donnchadh O’Sullivan, Katia Bravo Jaimes
Children (2024) Vol. 12, Iss. 1, pp. 25-25
Open Access | Times Cited: 1
Applications of Self-Supervised Learning to Biomedical Signals: a Survey
Federico Del Pup, Manfredo Atzori
(2023)
Open Access | Times Cited: 2
Wearable Technology for Health Monitoring During Pregnancy: an Observational Cross-sectional Survey Study
Colin Wakefield, Lena Yao, Steve Self, et al.
Research Square (Research Square) (2022)
Open Access | Times Cited: 4
Fetal ECG Extraction Using Savitzky-Golay and Butterworth Filters
Henry Sheng Hoong Siew, Yousif Saad Alshebly, Marwan Nafea
(2022), pp. 215-220
Closed Access | Times Cited: 4
Computational Approaches for Connecting Maternal Stress to Preterm Birth
Amin Mirzaei, Bjarne C. Hiller, Ina A. Stelzer, et al.
Clinics in Perinatology (2024) Vol. 51, Iss. 2, pp. 345-360
Closed Access
Contrastive Self-Supervised Learning in Medical Signal Processing: Literature Review and Case Study
Zakaria Alouani, Daanouni Othmane, Shawki Saleh, et al.
(2024), pp. 1-7
Closed Access
Artificial Intelligence for Sexual, Reproductive and Maternal Health: A Scoping Review (Preprint)
Martín Sabán, Melina Denise Zavala, Adolfo Rubinstein, et al.
(2024)
Closed Access
Artificial intelligence on biomedical signals: technologies, applications, and future directions
Yoon Jae Lee, Cheoljeong Park, Hodam Kim, et al.
Med-X (2024) Vol. 2, Iss. 1
Open Access
Assessing Bias in Self-supervised and Supervised Models for Temporal Data
Maria Liatsikou, Sofia Yfantidou, Athena Vakali
(2024), pp. 1-7
Closed Access
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