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.

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Showing 11 citing articles:

A Systematic Review on Multimodal Emotion Recognition: Building Blocks, Current State, Applications, and Challenges
Sepideh Kalateh, Luis A. Estrada-Jimenez, Sanaz Nikghadam-Hojjati, et al.
IEEE Access (2024) Vol. 12, pp. 103976-104019
Open Access | Times Cited: 16

Multimodal Emotion Recognition Using Visual, Vocal and Physiological Signals: A Review
Gustave Udahemuka, Karim Djouani, Anish Kurien
Applied Sciences (2024) Vol. 14, Iss. 17, pp. 8071-8071
Open Access | Times Cited: 5

The Analysis of Emotion-Aware Personalized Recommendations via Multimodal Data Fusion in the Field of Art
Taiyu Xiu, Yin Sun, Xuan Zhang, et al.
Journal of Organizational and End User Computing (2025) Vol. 37, Iss. 1, pp. 1-29
Open Access

Balancing Concerns—AI and Moral Agency in Medicine
Somogy Varga, Asbjørn Steglich‐Petersen
JAMA Cardiology (2025)
Closed Access

Trust and Acceptance Challenges in the Adoption of AI Applications in Health Care: Quantitative Survey Analysis
Janne Kauttonen, Rebekah Rousi, Ari Alamäki
Journal of Medical Internet Research (2025) Vol. 27, pp. e65567-e65567
Open Access

Quantum neural networks for multimodal sentiment, emotion, and sarcasm analysis
Jaiteg Singh, Kamalpreet Singh Bhangu, Abdulrhman Alkhanifer, et al.
Alexandria Engineering Journal (2025) Vol. 124, pp. 170-187
Closed Access

Multimodal learning-based speech enhancement and separation, recent innovations, new horizons, challenges and real-world applications
Rizwan Ullah, Shaohui Zhang, Muhammad Asif, et al.
Computers in Biology and Medicine (2025) Vol. 190, pp. 110082-110082
Closed Access

Benchmarking deep Facial Expression Recognition: An extensive protocol with balanced dataset in the wild
Gianmarco Ipinze Tutuianu, Yang Liu, Ari Alamäki, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 108983-108983
Open Access | Times Cited: 1

Lightweight Attention Based Deep CNN Framework for Human Facial Emotion Detection from Video Sequences
Krishna Kant, Dipti Shah
SN Computer Science (2024) Vol. 6, Iss. 1
Closed Access

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