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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:

Machine Learning Methods for Fear Classification Based on Physiological Features
Livia Petrescu, Cătălin Petrescu, Ana Maria Oprea, et al.
Sensors (2021) Vol. 21, Iss. 13, pp. 4519-4519
Open Access | Times Cited: 22

Showing 22 citing articles:

Strategies for Reliable Stress Recognition: A Machine Learning Approach Using Heart Rate Variability Features
Mariam Bahameish, Tony Stockman, Jesús Requena Carrión
Sensors (2024) Vol. 24, Iss. 10, pp. 3210-3210
Open Access | Times Cited: 7
Explainable artificial intelligence approaches for brain–computer interfaces: a review and design space
Param Rajpura, Hubert Cecotti, Yogesh Kumar Meena
Journal of Neural Engineering (2024) Vol. 21, Iss. 4, pp. 041003-041003
Open Access | Times Cited: 5
Multi-Input CNN-LSTM deep learning model for fear level classification based on EEG and peripheral physiological signals
Nagisa Masuda, Ikuko Eguchi Yairi
Frontiers in Psychology (2023) Vol. 14
Open Access | Times Cited: 11
Advances in Forensic Neuropsychological Research
K. Jayasankara Reddy
(2025), pp. 553-579
Closed Access
Feasibility Study of Classification for Music Preference Level Based on Galvanic Skin Response (GSR) and Photoplethysmogram (PPG) Sensor Data with Machine Learning Method
Yunheng Li, Eri Sato-Shimokawara
Communications in computer and information science (2025), pp. 10-22
Closed Access
Mental Stress Level Prediction and Classification based on Machine Learning
Akshada Kene, Shubhada Thakare
2022 Smart Technologies, Communication and Robotics (STCR) (2021), pp. 1-7
Closed Access | Times Cited: 19
The role of machine learning methods in physiological explorations of endurance trained athletes: a mini-review
Félix Boudry, Fabienne Durand, Henri Méric, et al.
Frontiers in Sports and Active Living (2024) Vol. 6
Open Access | Times Cited: 2
Wearable Devices and Explainable Unsupervised Learning for COVID-19 Detection and Monitoring
Ahmad Hasasneh, Haytham Hijazi, Manar Abu Talib, et al.
Diagnostics (2023) Vol. 13, Iss. 19, pp. 3071-3071
Open Access | Times Cited: 5
Effective relax acquisition: a novel approach to classify relaxed state in alpha band EEG-based transformation
Diah Risqiwati, Adhi Dharma Wibawa, Evi Septiana Pane, et al.
Brain Informatics (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 1
Overcoming Fear and Improving Public Speaking Skills through Adaptive VR Training
Nicolae Jinga, Ana Magdalena Anghel, Florica Moldoveanu, et al.
Electronics (2024) Vol. 13, Iss. 11, pp. 2042-2042
Open Access | Times Cited: 1
Emotion Recognition Based on Galvanic Skin Response and Photoplethysmography Signals Using Artificial Intelligence Algorithms
Marcos F. Bamonte, Marcelo Risk, Víctor Herrero
IFMBE proceedings (2024), pp. 23-35
Closed Access | Times Cited: 1
Quantitative identification of ventral/dorsal nerves through intraoperative neurophysiological monitoring by supervised machine learning
Wenbin Jiang, Qijia Zhan, Junlu Wang, et al.
Frontiers in Pediatrics (2023) Vol. 11
Open Access | Times Cited: 3
Analysis of Marine-Pilot Biometric Data Recordings during Port-Approach Using a Full-Mission Simulator
Dejan Žagar, Matija Svetina, Tanja Brčko, et al.
Sensors (2022) Vol. 22, Iss. 7, pp. 2701-2701
Open Access | Times Cited: 5
Exploring the Role of Fear in Human Decision Making
Patrick Kelly, David Ada Adama, Isibor Kennedy Ihianle, et al.
(2023), pp. 505-510
Open Access | Times Cited: 2
Racial and ethnic differences in predictors of participation in an intergenerational social connectedness intervention for older adults
Omolola E. Adepoju, Chinedum O. Ojinnaka, Jason Pieratt, et al.
BMC Geriatrics (2024) Vol. 24, Iss. 1
Open Access
Behavioral, Peripheral, and Central Neural Correlates of Augmented Reality Guidance of Manual Tasks
Alejandro Luis Callara, Gianluca Rho, Sara Condino, et al.
IEEE Transactions on Human-Machine Systems (2024) Vol. 54, Iss. 2, pp. 172-181
Open Access
A Review of Environmental Factors for an Ontology-Based Risk Analysis for Pandemic Spread
Liege Cheung, Adela S. M. Lau, Kwok Fai Lam, et al.
COVID (2024) Vol. 4, Iss. 4, pp. 466-480
Open Access
The Role of ECG and Respiration in Predicting Quality of Experience
Sowmya Vijayakumar, Ronan Flynn, Peter Corcoran, et al.
(2024), pp. 118-124
Closed Access
Mental health prediction using machine learning techniques and comparison with existing works
Rohit Kothari, Anant Kanchan, M. Kanchana
AIP conference proceedings (2024) Vol. 3075, pp. 020228-020228
Closed Access
Emotional Salience Network Involved in Constructing Two-Dimensional Fear Space in Humans
Jing Lyu, Jiayue Li, Rui Ding, et al.
Neurobiology of Stress (2024) Vol. 34, pp. 100677-100677
Open Access
Evaluating Predictors of Participation in Telephone-Based Social-Connectedness Interventions for Older Adults: A Dual Machine-Learning and Regression Approach
Minji Chae, Arlette Chavez, Maya Sarah Singh, et al.
Gerontology and Geriatric Medicine (2023) Vol. 9
Open Access
Using an ontology based big data architecture for predicting pandemic outbreak risk (Preprint)
Adela S. M. Lau
(2022)
Closed Access
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