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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:

Video-Based Stress Detection through Deep Learning
Huijun Zhang, Ling Feng, Ningyun Li, et al.
Sensors (2020) Vol. 20, Iss. 19, pp. 5552-5552
Open Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

Intelligent Stress Monitoring Assistant for First Responders
Kenneth Lai, Svetlana Yanushkevich, Vlad P. Shmerko
IEEE Access (2021) Vol. 9, pp. 25314-25329
Open Access | Times Cited: 57
Deep Learning Approach for Detecting Work-Related Stress Using Multimodal Signals
Wonju Seo, Nam‐Ho Kim, Cheolsoo Park, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 12, pp. 11892-11902
Closed Access | Times Cited: 34
A deep learning-based approach for distinguishing different stress levels of human brain using EEG and pulse rate
Prithwijit Mukherjee, Anisha Halder Roy
Computer Methods in Biomechanics & Biomedical Engineering (2023) Vol. 27, Iss. 16, pp. 2303-2324
Closed Access | Times Cited: 11
Smart Hybrid Mini-Xception Model and Eyebrow Displacement-Based Stress Level and Emotion Detection System
S. Bhuvana, P. Anantha Prabha, M. Deva Priya, et al.
Lecture notes in networks and systems (2025), pp. 417-429
Closed Access
Stress Detection via Multimodal Multitemporal-Scale Fusion: A Hybrid of Deep Learning and Handcrafted Feature Approach
Liang Zhao, Xiaojing Niu, Lincong Wang, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 22, pp. 27817-27827
Closed Access | Times Cited: 8
Deep-Learning-Based Stress Recognition with Spatial-Temporal Facial Information
Taejae Jeon, Han Byeol Bae, Yong-Ju Lee, et al.
Sensors (2021) Vol. 21, Iss. 22, pp. 7498-7498
Open Access | Times Cited: 15
Comparative Analysis of Emotion Classification Based on Facial Expression and Physiological Signals Using Deep Learning
Seung‐Jun Oh, Dong-Keun Kim
Applied Sciences (2022) Vol. 12, Iss. 3, pp. 1286-1286
Open Access | Times Cited: 10
A Meta-learning based Stress Category Detection Framework on Social Media
Xin Wang, Lei Cao, Huijun Zhang, et al.
Proceedings of the ACM Web Conference 2022 (2022), pp. 2925-2935
Open Access | Times Cited: 9
A Deep Learning Approach to Monitoring Workers’ Stress at Office
Fátima Rodrigues, Jacqueline Marchetti
Lecture notes in networks and systems (2023), pp. 734-743
Closed Access | Times Cited: 5
Incorporating Forthcoming Events and Personality Traits in Social Media Based Stress Prediction
Ningyun Li, Huijun Zhang, Ling Feng
IEEE Transactions on Affective Computing (2021) Vol. 14, Iss. 1, pp. 603-621
Closed Access | Times Cited: 11
Multimodal Stress State Detection from Facial Videos Using Physiological Signals and Facial Features
Yassine Ouzar, Lynda Lagha, Frédéric Bousefsaf, et al.
Lecture notes in computer science (2023), pp. 139-150
Closed Access | Times Cited: 4
Issues and Challenges in Detecting Mental Stress from Multimodal Data Using Machine Intelligence
Safia Sadruddin, Vaishali D. Khairnar, Deepali Vora
SN Computer Science (2024) Vol. 5, Iss. 4
Closed Access | Times Cited: 1
Mental health impact of COVID-19 and machine learning applications in combating mental disorders: a review
Chirantan Ganguly, Sagnik Nayak, Anil K. Gupta
Elsevier eBooks (2022), pp. 1-51
Closed Access | Times Cited: 7
Reading Between the Heat
Yi Xiao, Harshit Sharma, Zhongyang Zhang, et al.
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (2023) Vol. 7, Iss. 4, pp. 1-30
Open Access | Times Cited: 3
Automatic Detection of Subjective, Annotated and Physiological Stress Responses from Video Data
Matthias Norden, Oliver T. Wolf, Lennart Lehmann, et al.
(2022)
Open Access | Times Cited: 5
Continuous Stress Detection Based on Social Media
Yang Ding, Ling Feng, Lei Cao, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 9, pp. 4500-4511
Closed Access | Times Cited: 2
Machine Learning Methods for Stress Monitoring using Wearable Devices
Samvad Gour, C. N. S. Vinoth Kumar
2022 International Conference on Electronics and Renewable Systems (ICEARS) (2022), pp. 1346-1352
Closed Access | Times Cited: 3
Detection of Stress with Deep Learning and Health Parameters Monitoring Using Raspberry Pi
Sujata S. Chiwande, Ashutosh Bagade, Sakshi Deshmukh, et al.
Lecture notes in electrical engineering (2022), pp. 277-288
Closed Access | Times Cited: 3
Multimodal depression detection using deep learning in the workplace
B. Manjulatha, Suresh Pabboju
(2024), pp. 1-8
Closed Access
Real-Time Stress Detection and Analysisusing Facial Emotion Recognition
Hari Prasad Chandika, B A Soumya, Baireddy Naveen Eswar Reddy, et al.
IJARCCE (2024) Vol. 13, Iss. 3
Open Access
Stress Detection in Videos using Machine Learning
N Radha, R Swathika, Hima Varsha
(2024), pp. 388-394
Closed Access
Revealing Neural Stress Patterns: Investigating the Efficacy of Eeg Recordings in a Targeted Dataset for Precise Stress Detection
Swaymprabha Alias Megha Mane, Megha Patil, Arundhati A. Shinde
(2024)
Closed Access
Integrating Content-Semantics-World Knowledge to Detect Stress from Videos
Yang Ding, Yi Dai, Xin Wang, et al.
(2024), pp. 10373-10381
Closed Access
Stress recognition identifying relevant facial action units through explainable artificial intelligence and machine learning
Giorgos Giannakakis, Anastasios Roussos, Christina Andreou, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 259, pp. 108507-108507
Closed Access
Intertwining digital design and neuroscience: a systematic review of quantitative parameters and tools for assessing user well-being in immersive experience
Vito Getuli, Eleonora D'Ascenzi, Irene Fiesoli
Journal of Information Technology in Construction (2024) Vol. 29, pp. 1157-1274
Open Access
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