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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 Hybrid Explainable AI Framework Applied to Global and Local Facial Expression Recognition
Mohammadmahdi Deramgozin, Slaviša Jovanović, Hassan Rabah, et al.
(2021), pp. 1-5
Open Access | Times Cited: 13

Showing 13 citing articles:

Refashioning Emotion Recognition Modeling: The Advent of Generalized Large Models
Zixing Zhang, Liyizhe Peng, Tao Pang, et al.
IEEE Transactions on Computational Social Systems (2024) Vol. 11, Iss. 5, pp. 6690-6704
Open Access | Times Cited: 5
Exploring Interpretability in Deep Learning for Affective Computing: A Comprehensive Review
X.-X. Zhang, Tenggan Zhang, Lei Sun, et al.
ACM Transactions on Multimedia Computing Communications and Applications (2025)
Closed Access
Learning Cognitive Features as Complementary for Facial Expression Recognition
Huihui Li, Xiangling Xiao, Xiaoyong Liu, et al.
International Journal of Intelligent Systems (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 4
Analysis of Gender Differences in Facial Expression Recognition Based on Deep Learning Using Explainable Artificial Intelligence
Cristina Manresa-Yee, Silvia Ramis, José María Buades Rubio
International Journal of Interactive Multimedia and Artificial Intelligence (2023) Vol. 9, Iss. 1, pp. 18-18
Open Access | Times Cited: 6
EMERSK -Explainable Multimodal Emotion Recognition With Situational Knowledge
Mijanur Rahaman Palash, Bharat Bhargava
IEEE Transactions on Multimedia (2023) Vol. 26, pp. 2785-2794
Open Access | Times Cited: 5
Unveiling the human-like similarities of automatic facial expression recognition: An empirical exploration through explainable ai
F. Xavier Gaya-Morey, Silvia Ramis, Cristina Manresa-Yee, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 38, pp. 85725-85753
Open Access | Times Cited: 1
Attention-Enabled Lightweight Neural Network Architecture for Detection of Action Unit Activation
Mohammad Mahdi Deramgozin, Slaviša Jovanović, Miguel Arevalillo‐Herráez, et al.
IEEE Access (2023) Vol. 11, pp. 117954-117970
Open Access | Times Cited: 3
HMI Design for Explainable Machine Learning Enhanced Risk Detection in Low-Altitude UAV Operations
Max Friedrich, Jari Küls, Marc Sebastian Findeisen, et al.
2013 IEEE/AIAA 32nd Digital Avionics Systems Conference (DASC) (2023), pp. 1-8
Closed Access | Times Cited: 2
Unveiling the Human-like Similarities of Automatic Facial Expression Recognition: An Empirical Exploration through Explainable AI
F. Xavier Gaya-Morey, Silvia Ramis, Cristina Manresa-Yee, et al.
arXiv (Cornell University) (2024)
Open Access
Interpreting Emotions Through the Grad-CAM Lens: Insights and Implications in CNN-Based Facial Emotion Recognition
Jens Gebele, Philipp Brüne, Frank Schwab, et al.
Lecture notes in computer science (2024), pp. 414-429
Closed Access
Untangling Explainable AI in Applicative Domains: Taxonomy, Tools, and Open Challenges
Sachi Chaudhary, Pooja Joshi, Pronaya Bhattacharya, et al.
Lecture notes in networks and systems (2023), pp. 857-872
Closed Access | Times Cited: 1
FACEE: Framework for Automating CNN Explainability Evaluation
Ahmad Rezaei, Johannes Nau, Johannes Richter, et al.
2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC) (2023), pp. 67-78
Closed Access
Quant-Meta: Quantum Key Distribution Framework for Telesurgery in Metaverse Environment
Pronaya Bhattacharya, Vishaka K Ralegankar, Rajesh Gupta, et al.
2022 IEEE Globecom Workshops (GC Wkshps) (2023), pp. 1868-1873
Closed Access
An Approach for Selecting the Most Explanatory Features for Facial Expression Recognition
Pedro D. Marrero Fernández, José María Buades Rubio, Antoni Jaume-i-Capó, et al.
Applied Sciences (2022) Vol. 12, Iss. 11, pp. 5637-5637
Open Access
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