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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:

A Machine Learning Emotion Detection Platform to Support Affective Well Being
M. J. R. Healy, Ryan Donovan, Paul Walsh, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2018), pp. 2694-2700
Closed Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Machine learning model for emotion detection and recognition using an enhanced Convolutional Neural Network
B. Sowmya, Meeradevi Meeradevi, Sini Anna Alex, et al.
Journal of Integrated Science and Technology (2024) Vol. 12, Iss. 4
Open Access | Times Cited: 6
Emotion Detection from Text and Sentiment Analysis of Ukraine Russia War using Machine Learning Technique
Abdullah Al Maruf, Zakaria Masud Ziyad, Md. Mahmudul Haque, et al.
International Journal of Advanced Computer Science and Applications (2022) Vol. 13, Iss. 12
Open Access | Times Cited: 18
Academic Emotion Classification Using FER: A Systematic Review
Jeniffer Xin-Ying Lek, Jason Teo
Human Behavior and Emerging Technologies (2023) Vol. 2023, pp. 1-27
Open Access | Times Cited: 9
EEG-Based Emotion Classification for Alzheimer’s Disease Patients Using Conventional Machine Learning and Recurrent Neural Network Models
Jungryul Seo, Teemu H. Laine, Gyuhwan Oh, et al.
Sensors (2020) Vol. 20, Iss. 24, pp. 7212-7212
Open Access | Times Cited: 22
Toward a Reference Model for Artificial Intelligence Supporting Big Data Analysis
Thoralf Reis, Marco X. Bornschlegl, Matthias Hemmje
Transactions on computational science and computational intelligence (2021), pp. 561-572
Closed Access | Times Cited: 15
Home-based Immersive Web Rehabilitation Gaming with Audiovisual Sensors
Hayette Hadjar, Paul McKevitt, Matthias Hemmje
(2022), pp. 1-7
Closed Access | Times Cited: 6
SenseCare: Using Automatic Emotional Analysis to Provide Effective Tools for Supporting
Ryan Donovan, M. J. R. Healy, Huiru Zheng, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2018), pp. 2682-2687
Closed Access | Times Cited: 9
Artificial Intelligence - Enabled IoT for Health and Wellbeing Monitoring
Navod Neranjan Thilakarathne, W. D. Madhuka Priyashan, Chanaka Prasad Premarathna
2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (2021) Vol. 55, pp. 01-07
Closed Access | Times Cited: 8
A Survey on Affective Computing for Psychological Emotion Recognition
V. S. Bakkialakshmi, T. Sudalaimuthu
2021 5th International Conference on Electrical, Electronics, Communication, Computer Technologies and Optimization Techniques (ICEECCOT) (2021) Vol. 12 2, pp. 480-486
Closed Access | Times Cited: 7
AI2VIS4BigData: A Reference Model for AI-Based Big Data Analysis and Visualization
Thoralf Reis, Marco X. Bornschlegl, Matthias Hemmje
Lecture notes in computer science (2021), pp. 1-18
Closed Access | Times Cited: 6
Real-Time Emotion Recognition in Online Video Conferences for Medical Consultations
Dennis Maier, Matthias Hemmje, Zoran Kikic, et al.
Lecture notes in computer science (2024), pp. 479-487
Closed Access
Stress-Level Detection Using RepVGG Neural Network
Divya Shree G
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT (2024) Vol. 08, Iss. 05, pp. 1-5
Open Access
Evaluating the Validity of Automated Emotion Detection from Spontaneous Expressions across Modalities: Insights from the PEM Dataset
Ryan Donovan
(2024)
Open 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
Emotion Detection in Multimedia Data Using Convolution Neural Network
Prathwini, Roshan Fernandes, Anisha P Rodrigues
(2022), pp. 157-161
Closed Access | Times Cited: 3
ROLE OF ARTIFICIAL INTELLIGENCE IN ENHANCING EDUCATION AND SOCIAL LIFE
Mohammadi Shaikh, Shaikh Summaiya Naznin
International Education and Research Journal (2024) Vol. 10, Iss. 1
Open Access
Data-Driven Classification of Human Movements in Virtual Reality–Based Serious Games: Preclinical Rehabilitation Study in Citizen Science
Roni Barak Ventura, Kora Stewart Hughes, Oded Nov, et al.
JMIR Serious Games (2021) Vol. 10, Iss. 1, pp. e27597-e27597
Open Access | Times Cited: 4
Classification of Emotion using Eeg Signals: an FPGA Based Implementation
M. D. D, Vyshnavi Shekhar B S, Meghana M Totiger, et al.
International Journal of Recent Technology and Engineering (IJRTE) (2023) Vol. 12, Iss. 2, pp. 102-109
Open Access | Times Cited: 1
Big Data Analysis, AI, and Visualization Workshop
Thoralf Reis, Marco X. Bornschlegl, Matthias Hemmje
(2020), pp. 1-2
Closed Access | Times Cited: 3
Stress Detection: A Predictive Analysis
Kathakoli Sengupta
2021 Asian Conference on Innovation in Technology (ASIANCON) (2021), pp. 1-6
Closed Access | Times Cited: 3
Video-based emotion sensing and recognition using convolutional neural network based kinetic gas molecule optimization
K. Pranathi, Naga Padmaja Jagini, Satish Kumar Ramaraj, et al.
ACTA IMEKO (2022) Vol. 11, Iss. 2, pp. 1-1
Open Access | Times Cited: 2
Using an Affective Computing Taxonomy Management System to Support Data Management in Personality Traits
Binh Vu, Ryan Donovan, M. J. R. Healy, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2019), pp. 2875-2882
Closed Access | Times Cited: 1
A Content and Knowledge Management System Supporting Emotion Detection from Speech
Binh Vu, Mikel deVelasco, Paul Mc Kevitt, et al.
Lecture notes in electrical engineering (2020), pp. 369-378
Closed Access | Times Cited: 1
Machine Learning Strategies to Improve Generalization in EEG-based Emotion Assessment: \\a Systematic Review
Andrea Apicella, Pasquale Arpaïa, Giovanni D’Errico, et al.
arXiv (Cornell University) (2022)
Open Access | Times Cited: 1
Opinion Mining on Ukraine–Russian War Using VADER
Dagani Anudeepthi, Gayathri Vutla, Vallam Reddy Bhargavi Reddy, et al.
Lecture notes in networks and systems (2023), pp. 183-193
Closed Access
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