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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:

Stress Recognition Using Wearable Sensors and Mobile Phones
Akane Sano, Rosalind W. Picard
(2013), pp. 671-676
Closed Access | Times Cited: 454

Showing 1-25 of 454 citing articles:

Wearable Sensors for Remote Health Monitoring
Sumit Majumder, Tapas Mondal, M. Jamal Deen
Sensors (2017) Vol. 17, Iss. 1, pp. 130-130
Open Access | Times Cited: 1126
Towards fog-driven IoT eHealth: Promises and challenges of IoT in medicine and healthcare
Bahar Farahani, Farshad Firouzi, Victor Chang, et al.
Future Generation Computer Systems (2017) Vol. 78, pp. 659-676
Open Access | Times Cited: 894
Trajectories of depression
Luca Canzian, Mirco Musolesi
(2015), pp. 1293-1304
Closed Access | Times Cited: 472
Towards an automatic early stress recognition system for office environments based on multimodal measurements: A review
Ane Alberdi, Asier Aztiria, Adrian Basarab
Journal of Biomedical Informatics (2015) Vol. 59, pp. 49-75
Open Access | Times Cited: 415
Stress detection in daily life scenarios using smart phones and wearable sensors: A survey
Yekta Said Can, Bert Arnrich, Cem Ersoy
Journal of Biomedical Informatics (2019) Vol. 92, pp. 103139-103139
Open Access | Times Cited: 366
Mental health monitoring with multimodal sensing and machine learning: A survey
Enrique Garcia-Ceja, Michael A. Riegler, Tine Nordgreen, et al.
Pervasive and Mobile Computing (2018) Vol. 51, pp. 1-26
Open Access | Times Cited: 306
Identifying Objective Physiological Markers and Modifiable Behaviors for Self-Reported Stress and Mental Health Status Using Wearable Sensors and Mobile Phones: Observational Study
Akane Sano, Sara Taylor, Andrew W. McHill, et al.
Journal of Medical Internet Research (2018) Vol. 20, Iss. 6, pp. e210-e210
Open Access | Times Cited: 295
Monitoring stress with a wrist device using context
Martin Gjoreski, Mitja Luštrek, Matjaž Gams, et al.
Journal of Biomedical Informatics (2017) Vol. 73, pp. 159-170
Open Access | Times Cited: 285
A Review on Mental Stress Detection Using Wearable Sensors and Machine Learning Techniques
Shruti Gedam, Sanchita Paul
IEEE Access (2021) Vol. 9, pp. 84045-84066
Open Access | Times Cited: 267
CrossCheck
Rui Wang, Min Hane Aung, Saeed Abdullah, et al.
(2016), pp. 886-897
Open Access | Times Cited: 244
A Review, Current Challenges, and Future Possibilities on Emotion Recognition Using Machine Learning and Physiological Signals
Patrícia Bota, Chen Wang, Ana Fred, et al.
IEEE Access (2019) Vol. 7, pp. 140990-141020
Open Access | Times Cited: 242
Automatic identification of artifacts in electrodermal activity data
Sara Taylor, Natasha Jaques, Weixuan Chen, et al.
(2015), pp. 1934-1937
Open Access | Times Cited: 239
Recognizing academic performance, sleep quality, stress level, and mental health using personality traits, wearable sensors and mobile phones
Akane Sano, Andrew J. K. Phillips, Amy Yu, et al.
(2015), pp. 1-6
Open Access | Times Cited: 227
A–Z survey of Internet of Things: Architectures, protocols, applications, recent advances, future directions and recommendations
Wafa’a K. Kassab, Khalid A. Darabkh
Journal of Network and Computer Applications (2020) Vol. 163, pp. 102663-102663
Closed Access | Times Cited: 217
Feature Extraction and Selection for Emotion Recognition from Electrodermal Activity
Jainendra Shukla, Miguel Barreda-Ángeles, Joan Guix Oliver, et al.
IEEE Transactions on Affective Computing (2019) Vol. 12, Iss. 4, pp. 857-869
Closed Access | Times Cited: 193
Large-scale wearable data reveal digital phenotypes for daily-life stress detection
Elena Smets, Emmanuel Rios Velazquez, Giuseppina Schiavone, et al.
npj Digital Medicine (2018) Vol. 1, Iss. 1
Open Access | Times Cited: 184
Wearable-Based Affect Recognition—A Review
Philip Schmidt, Attila Reiss, Robert Dürichen, et al.
Sensors (2019) Vol. 19, Iss. 19, pp. 4079-4079
Open Access | Times Cited: 174
Pain and Stress Detection Using Wearable Sensors and Devices—A Review
Jerry Chen, Maysam Abbod, Jiann-Shing Shieh
Sensors (2021) Vol. 21, Iss. 4, pp. 1030-1030
Open Access | Times Cited: 156
Stress detection using ECG and EMG signals: A comprehensive study
Sara Pourmohammadi, Ali Maleki
Computer Methods and Programs in Biomedicine (2020) Vol. 193, pp. 105482-105482
Closed Access | Times Cited: 149
Automatic Stress Detection in Working Environments From Smartphones’ Accelerometer Data: A First Step
Enrique Garcia-Ceja, Venet Osmani, Oscar Mayora
IEEE Journal of Biomedical and Health Informatics (2015) Vol. 20, Iss. 4, pp. 1053-1060
Open Access | Times Cited: 169
Continuous stress detection using a wrist device
Martin Gjoreski, Hristijan Gjoreski, Mitja Luštrek, et al.
(2016)
Closed Access | Times Cited: 166
DeepMood
Yoshihiko Suhara, Yinzhan Xu, Alex Pentland
(2017), pp. 715-724
Closed Access | Times Cited: 153
Unobtrusive Assessment of Students' Emotional Engagement during Lectures Using Electrodermal Activity Sensors
Elena Di Lascio, Shkurta Gashi, Silvia Santini
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (2018) Vol. 2, Iss. 3, pp. 1-21
Closed Access | Times Cited: 153
Daily Stress Recognition from Mobile Phone Data, Weather Conditions and Individual Traits
Andrey Bogomolov, Bruno Lepri, Michela Ferron, et al.
(2014), pp. 477-486
Open Access | Times Cited: 149
Collection and Processing of Data from Wrist Wearable Devices in Heterogeneous and Multiple-User Scenarios
Francisco de Arriba-Pérez, Manuel Caeiro Rodríguez, Juan M. Santos-Gago
Sensors (2016) Vol. 16, Iss. 9, pp. 1538-1538
Open Access | Times Cited: 138
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