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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 Detection Using Wearable Physiological and Sociometric Sensors
Óscar Martínez Mozos, Virginia Săndulescu, Sally Andrews, et al.
International Journal of Neural Systems (2016) Vol. 27, Iss. 02, pp. 1650041-1650041
Open Access | Times Cited: 175

Showing 1-25 of 175 citing articles:

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: 364
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: 295
Continuous Stress Detection Using Wearable Sensors in Real Life: Algorithmic Programming Contest Case Study
Yekta Said Can, Niaz Chalabianloo, Deniz Ekiz, et al.
Sensors (2019) Vol. 19, Iss. 8, pp. 1849-1849
Open Access | Times Cited: 266
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: 238
Evaluation of an Integrated System of Wearable Physiological Sensors for Stress Monitoring in Working Environments by Using Biological Markers
Stefano Betti, Raffaele Molino Lova, Erika Rovini, et al.
IEEE Transactions on Biomedical Engineering (2017) Vol. 65, Iss. 8, pp. 1748-1758
Open Access | Times Cited: 183
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: 172
Automatic stress detection in car drivers based on non-invasive physiological signals using machine learning techniques
Ali I. Siam, Samah A. Gamel, Fatma M. Talaat
Neural Computing and Applications (2023) Vol. 35, Iss. 17, pp. 12891-12904
Open Access | Times Cited: 43
Electrodermal Activity Sensor for Classification of Calm/Distress Condition
Roberto Zangróniz, Arturo Martínez‐Rodrigo, J.M. Pastor, et al.
Sensors (2017) Vol. 17, Iss. 10, pp. 2324-2324
Open Access | Times Cited: 161
Depresjon
Enrique Garcia-Ceja, Michael A. Riegler, Petter Jakobsen, et al.
(2018), pp. 472-477
Open Access | Times Cited: 86
Machine Learning Approach for Stress Detection using Wireless Physical Activity Tracker
B. Padmaja, V. V. Rama Prasad, K. V. N. Sunitha
International Journal of Machine Learning and Computing (2018) Vol. 8, Iss. 1, pp. 33-38
Open Access | Times Cited: 86
Into the Wild: The Challenges of Physiological Stress Detection in Laboratory and Ambulatory Settings
Elena Smets, W. De Raedt, Chris Van Hoof
IEEE Journal of Biomedical and Health Informatics (2018) Vol. 23, Iss. 2, pp. 463-473
Closed Access | Times Cited: 86
Stress Detection via Keyboard Typing Behaviors by Using Smartphone Sensors and Machine Learning Techniques
Ensar Arif Sağbaş, Serdar Korukoğlu, Serkan Ballı
Journal of Medical Systems (2020) Vol. 44, Iss. 4
Closed Access | Times Cited: 84
Personal Stress-Level Clustering and Decision-Level Smoothing to Enhance the Performance of Ambulatory Stress Detection With Smartwatches
Yekta Said Can, Niaz Chalabianloo, Deniz Ekiz, et al.
IEEE Access (2020) Vol. 8, pp. 38146-38163
Open Access | Times Cited: 71
Acute Stress State Classification Based on Electrodermal Activity Modeling
Alberto Greco, Gaetano Valenza, Jesús Lázaro, et al.
IEEE Transactions on Affective Computing (2021) Vol. 14, Iss. 1, pp. 788-799
Open Access | Times Cited: 57
Photoplethysmography signal processing and synthesis
Elisa Mejía‐Mejía, John Allen, Karthik Budidha, et al.
Elsevier eBooks (2021), pp. 69-146
Closed Access | Times Cited: 55
Stress Monitoring Using Wearable Sensors: A Pilot Study and Stress-Predict Dataset
Talha Iqbal, Andrew J. Simpkin, Davood Roshan, et al.
Sensors (2022) Vol. 22, Iss. 21, pp. 8135-8135
Open Access | Times Cited: 43
Machine Learning for Anxiety Detection Using Biosignals: A Review
Lou Ancillon, Mohamed Elgendi, Carlo Menon
Diagnostics (2022) Vol. 12, Iss. 8, pp. 1794-1794
Open Access | Times Cited: 42
Applications of artificial intelligence−machine learning for detection of stress: a critical overview
Alexios‐Fotios A. Mentis, Donghoon Lee, Panos Roussos
Molecular Psychiatry (2023) Vol. 29, Iss. 6, pp. 1882-1894
Closed Access | Times Cited: 35
Stress monitoring using wearable sensors: IoT techniques in medical field
Fatma M. Talaat, Rana Mohamed El-Balka
Neural Computing and Applications (2023) Vol. 35, Iss. 25, pp. 18571-18584
Open Access | Times Cited: 30
Machine Intelligence in Healthcare and Medical Cyber Physical Systems: A Survey
Omid Rajabi Shishvan, Daphney–Stavroula Zois, Tolga Soyata
IEEE Access (2018) Vol. 6, pp. 46419-46494
Open Access | Times Cited: 69
Machine Learning Based Solutions for Real-Time Stress Monitoring
Rajdeep Kumar Nath, Himanshu Thapliyal, Allison Caban‐Holt, et al.
IEEE Consumer Electronics Magazine (2020) Vol. 9, Iss. 5, pp. 34-41
Closed Access | Times Cited: 68
EEG-Based Detection of Braking Intention Under Different Car Driving Conditions
Luis Hernández, Óscar Martínez Mozos, José Manuel Ferrández Vicente, et al.
Frontiers in Neuroinformatics (2018) Vol. 12
Open Access | Times Cited: 64
Deep ECG-Respiration Network (DeepER Net) for Recognizing Mental Stress
Wonju Seo, Nam‐Ho Kim, Sehyeon Kim, et al.
Sensors (2019) Vol. 19, Iss. 13, pp. 3021-3021
Open Access | Times Cited: 55
Single-trial EEG emotion recognition using Granger Causality/Transfer Entropy analysis
Yunyuan Gao, Xiangkun Wang, Thomas Potter, et al.
Journal of Neuroscience Methods (2020) Vol. 346, pp. 108904-108904
Closed Access | Times Cited: 51
Upper Limb Movement Classification Via Electromyographic Signals and an Enhanced Probabilistic Network
Alexis Burns, Hojjat Adeli, John A. Buford
Journal of Medical Systems (2020) Vol. 44, Iss. 10
Closed Access | Times Cited: 50
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