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:

Analysis of brain areas in emotion recognition from EEG signals with deep learning methods
Musa Aslan, Muhammet Baykara, Talha Burak Alakuş
Multimedia Tools and Applications (2023) Vol. 83, Iss. 11, pp. 32423-32452
Closed Access | Times Cited: 7

Showing 7 citing articles:

A novel adaptive lightweight multimodal efficient feature inference network ALME-FIN for EEG emotion recognition
Xiaoliang Guo, Shuo Zhai
Cognitive Neurodynamics (2025) Vol. 19, Iss. 1
Closed Access

Explainable multi-frequency and multi-region fusion model for affective brain-computer interfaces
Tao Wang, Rui Mao, Shuang Liu, et al.
Information Fusion (2025), pp. 102971-102971
Closed Access

High-Accuracy Classification of Multiple Distinct Human Emotions Using EEG Differential Entropy Features and ResNet18
Longxin Yao, Yun Lu, Yukun Qian, et al.
Applied Sciences (2024) Vol. 14, Iss. 14, pp. 6175-6175
Open Access | Times Cited: 1

Automated EEG-based language detection using directed quantum pattern technique
Şengül Doğan, Türker Tuncer, Prabal Datta Barua, et al.
Applied Soft Computing (2024) Vol. 167, pp. 112301-112301
Closed Access | Times Cited: 1

An EEG-Driven Framework for Emotion Recognition During Gameplay
Khurram Shahzad, Zohaib Ali, Usman Rauf, et al.
(2024), pp. 1-6
Closed Access

An Evolutionary Convolutional Neural Network Architecture for Recognizing Emotions from EEG Signals
Khosro Rezaee
Studies in computational intelligence (2024), pp. 103-138
Closed Access

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