Review of: "EEG-based Emotion Classification using Deep Learning: Approaches, Trends and Bibliometrics"

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Potential competing interests: No potential competing interests to declare.The article "EEG-based Emotion Classification using Deep Learning: Approaches, Trends, and Bibliometrics" investigates the classification of human emotions using electroencephalography (EEG) signals and deep learning methods.The authors conducted an extensive bibliometric analysis of 440 articles from the Scopus database to map the research evolution in this field, identify current trends, highlight significant contributions, and point out areas needing further exploration.They noted a marked increase in research activity after 2018, indicating a growing interest in emotion classification using EEG.

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