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Artificial Intelligence and Information Processing: A Systematic Literature Review

Author

Listed:
  • Keng-Yu Lin

    (Department of Management Sciences, R.O.C. Military Academy, Kaohsiung 830, Taiwan)

  • Kuei-Hu Chang

    (Department of Management Sciences, R.O.C. Military Academy, Kaohsiung 830, Taiwan)

Abstract

This study aims to understand the development trends and research structure of articles on artificial intelligence (AI) and information processing in the past 10 years. In particular, this study analyzed 13,294 papers published from 2012 to 2021 in the Web of Science, used the bibliometric analysis method to visualize the data of the papers, and drew a scientific knowledge map. By exploring the development of mainstream journals, author and country rankings, keyword evolution, and research field rankings in the past 10 years, this study uncovered key trends affecting AI progress and information processing that provide insights and serve as an important reference for future AI research and information processing. The results revealed a gradual increase in publications over the past decade, with explosive growth after 2020. The most prolific researchers in this field were Xu, Z.S.; Pedrycz, W.; Herrera-Viedma, E.; the major contributing countries were China, the USA, and Spain. In the AI and information processing research, keywords including “Deep learning”, “Machine learning”, and “Feature extraction” are components that play a crucial role. Additionally, the most representative research areas were “Engineering”, “Operations Research and Management Science”, and “Automation Control Systems”. Overall, this study used bibliometric analysis to provide an overview of the latest trends in artificial intelligence and information processing. Although AI and information processing have been applied to various research areas, many other sub-topics can be further applied. Based on the findings, this study presented research insights and proposed suggestions for future research directions on AI and information processing.

Suggested Citation

  • Keng-Yu Lin & Kuei-Hu Chang, 2023. "Artificial Intelligence and Information Processing: A Systematic Literature Review," Mathematics, MDPI, vol. 11(11), pages 1-20, May.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:11:p:2420-:d:1153951
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    References listed on IDEAS

    as
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    2. Soheyl Khalilpourazari & Saman Khalilpourazary & Aybike Özyüksel Çiftçioğlu & Gerhard-Wilhelm Weber, 2021. "Designing energy-efficient high-precision multi-pass turning processes via robust optimization and artificial intelligence," Journal of Intelligent Manufacturing, Springer, vol. 32(6), pages 1621-1647, August.
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    4. Zhonglin Ma & Changcheng Xin & Huifang Zheng, 2021. "Construction of a Teaching System Based on Big Data and Artificial Intelligence to Promote the Physical Health of Primary School Students," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-10, June.
    5. Fahimnia, Behnam & Sarkis, Joseph & Davarzani, Hoda, 2015. "Green supply chain management: A review and bibliometric analysis," International Journal of Production Economics, Elsevier, vol. 162(C), pages 101-114.
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