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 for cognitive behavioral analysis: datasets, methods, paradigms, and research directions
Priya Bhatt, Amanrose Sethi, Vaibhav Tasgaonkar, et al.
Brain Informatics (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Fundamentals of the Integrated Use of Neural Network and Ontolinguistic Paradigms: A Comprehensive Approach
Oleksandr V. Palagin, Vadislav Kaverinskiy, Kyrylo Malakhov, et al.
Cybernetics and Systems Analysis (2024) Vol. 60, Iss. 1, pp. 111-123
Closed Access | Times Cited: 6

High-Risk AI Systems—Lie Detection Application
Konstantinos Kalodanis, Panagiotis Rizomiliotis, Georgios Feretzakis, et al.
Future Internet (2025) Vol. 17, Iss. 1, pp. 26-26
Open Access

Interaction of visual attention and behavior according to area arrangement of commercial spaces
Ju-Yeon Kim, Mi Jeong Kim
Journal of Asian Architecture and Building Engineering (2025), pp. 1-13
Open Access

Proteomic associations with cognitive variability as measured by the Wisconsin Card Sorting Test in a healthy Thai population: A machine learning approach
Chen Chen, Bupachad Khanthiyong, Benjamard Thaweetee-Sukjai, et al.
PLoS ONE (2025) Vol. 20, Iss. 2, pp. e0313365-e0313365
Open Access

Artificial intelligence in stroke rehabilitation: From acute care to long-term recovery
Spandana Rajendra Kopalli, Madhu Shukla, B Jayaprakash, et al.
Neuroscience (2025)
Closed Access

Multimodal machine learning for deception detection using behavioral and physiological data
Gargi Joshi, Vaibhav Tasgaonkar, Aditya Deshpande, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Analytical modeling of perceived authenticity in AI assistants: application of PLS-predict algorithm and importance-performance map analysis
Palima Pandey, Alok Kumar
South Asian Journal of Business Studies (2024)
Closed Access | Times Cited: 3

A Review of Strategies to Detect Fatigue and Sleep Problems in Aviation: Insights from Artificial Intelligence
Yan Li, Jwu‐Sheng Hu
Archives of Computational Methods in Engineering (2024)
Closed Access | Times Cited: 2

Automation in canine science: enhancing human capabilities and overcoming adoption barriers
Nareed Farhat, Dirk van der Linden, Anna Zamansky, et al.
Frontiers in Veterinary Science (2024) Vol. 11
Open Access | Times Cited: 2

Using Integrated Multimodal Technology: A Way to Personalise Learning in Health Science and Biomedical Engineering Students
María Consuelo Sáiz Manzanares, Raúl Marticorena Sánchez, María del Camino Escolar Llamazares, et al.
Applied Sciences (2024) Vol. 14, Iss. 16, pp. 7017-7017
Open Access | Times Cited: 2

TAC-Trimodal Affective Computing: Principles, integration process, affective detection, challenges, and solutions
Hussein Farooq Tayeb Al-Saadawi, Bihter Daş, Resul Daş
Displays (2024) Vol. 83, pp. 102731-102731
Closed Access | Times Cited: 1

A framework for neurophysiological experiments on flow states
Oliver Durcan, Peter Holland, Joydeep Bhattacharya
Communications Psychology (2024) Vol. 2, Iss. 1
Open Access | Times Cited: 1

Towards Effective Emotion Detection: A Comprehensive Machine Learning Approach on EEG Signals
Ietezaz Ul Hassan, Raja Hashim Ali, Zain ul Abideen, et al.
BioMedInformatics (2023) Vol. 3, Iss. 4, pp. 1083-1100
Open Access | Times Cited: 3

Unmasking Lies: A Literature Review on Facial Expressions and Machine Learning for Deception Detection
M. De Le Sen, Marc Denecker
Procedia Computer Science (2024) Vol. 246, pp. 1925-1935
Open Access

ChMinMaxPat: Investigations on Violence and Stress Detection Using EEG Signals
Ömer Bektaş, Serkan Kırık, İrem Taşçı, et al.
Diagnostics (2024) Vol. 14, Iss. 23, pp. 2666-2666
Open Access

Machine Learning and it’s Algorithm in Real Life Application
Anjali Piraji Bhosale
International Journal of Advanced Research in Science Communication and Technology (2024), pp. 224-229
Open Access

Comparing hybrid models for recognising objects in thermal images at nighttime
Maheswari Bandi, S R Reeja
Indonesian Journal of Electrical Engineering and Computer Science (2024) Vol. 34, Iss. 3, pp. 1823-1823
Open Access

A Comparative Study of Machine Learning Techniques for Human Activity Recognition
A. P. Gaikwad
Journal of Informatics Education and Research (2024)
Open Access

Emotion Prediction in Real-Life Scenarios: On the Way to the BIRAFFE3 Dataset
Krzysztof Kutt, Grzegorz J. Nalepa
Lecture notes in computer science (2024), pp. 465-475
Closed Access

Log and Event Analysis

(2024), pp. 67-98
Closed Access

Unveiling Hidden Patterns in Speech: Audio Signal-Based Approach for Depression Detection
Debadrita Ghosh, Hema Karande, Shilpa Gite
Lecture notes in networks and systems (2024), pp. 293-309
Closed Access

Evaluating the effectiveness of machine learning in identifying the optimal facial electromyography location for emotion detection
Vinay Kumar Barigala, Swarubini P.J., Sriram Kumar P, et al.
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 107012-107012
Closed Access

Enhancing human behavior recognition with dynamic graph convolutional networks and multi-scale position attention
Peng Huang, H J Jiang, Shuxian Wang, et al.
International Journal of Intelligent Computing and Cybernetics (2024) Vol. 18, Iss. 1, pp. 236-253
Closed Access

Decoding Emotions: How AI and Machine Learning Unravel the Human Psyche
Rocco de Filippis, Abdullah Al Foysal
Voice of the Publisher (2024) Vol. 10, Iss. 04, pp. 382-399
Open Access

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