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Unleashing Trends of Artificial Emotional Intelligence: A Bibliometric Analysis Using VOS Viewer

Author

Listed:
  • Nurhafizah Zainal

    (Department of Technology and Supply Chain Management Studies)

  • Norshima Humaidi

    (Faculty of Business and Management)

  • Sharidatul Akma Abu Seman

    (Universiti Teknologi MARA (UiTM) Selangor)

  • Siti Fazilah Hamid

    (Puncak Alam Campus, Malaysia)

Abstract

Artificial Emotional Intelligence (AEI), an interdisciplinary field combining artificial intelligence and cognitive emotion, has gained significant attention in recent years due to its potential applications in healthcare, education, and human-computer interaction. This study conducts a comprehensive bibliometric analysis to unleash trends, research hotspots, and collaborative networks within AEI using VOSviewer Software (version 1.6.20). By analyzing data from Scopus database with subsequent advanced query: TITLE-ABS-KEY (“Artificial†AND “Emotional intelligence†) that published in the period 2000 to 2025, key insights are derived from co-authorship networks, keyword co-occurrence patterns, and citation analysis. The data were extracted in November 2024, and the choices are restricted to journal papers that have reached the final stage of publication. A search using these

Suggested Citation

  • Nurhafizah Zainal & Norshima Humaidi & Sharidatul Akma Abu Seman & Siti Fazilah Hamid, 2025. "Unleashing Trends of Artificial Emotional Intelligence: A Bibliometric Analysis Using VOS Viewer," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(9), pages 2413-2434, September.
    • Handle: RePEc:bcp:journl:v:9:y:2025:issue-9:p:2413-2434
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    References listed on IDEAS

    as
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