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Publication, Collaboration, Citation Performance, and Triple Helix Innovation Gene of Artificial Intelligence Research in the Communication Field: Comparing Asia to the Rest of the World

Author

Listed:
  • Yu Peng Zhu

    (Chongqing University)

  • Han Woo Park

    (Yeungnam University)

Abstract

Artificial intelligence (AI) in the communication field has become increasingly popular in recent years. This study collected data from 482 documents and cited references in the Web of Science database. It explores the knowledge structure related to AI in communication, combined with the triple helix innovation gene model. The analysis employed collaborative network analysis, two-mode network analysis, citation analysis, and quadratic assignment procedure-based correlation analysis. The results show that the most popular hotspots are human–machine communication, automatically generated publications, social media-mediated fake news, and some other AI-based applied research. Academic collaborations can be facilitated by transnational disciplinary leaders. China emerged as the core academic country with the greatest growth potential in Asia, while the core non-Asian country is the United States. In addition, the trend in collaboration among scholars in Asia is better than in non-Asian countries. However, concerning the characteristics of collaborating institutions, the triple-helix collaboration among universities, government bodies, and industries remains insufficient. Particularly, the collaboration between industry and government necessitates further development.

Suggested Citation

  • Yu Peng Zhu & Han Woo Park, 2025. "Publication, Collaboration, Citation Performance, and Triple Helix Innovation Gene of Artificial Intelligence Research in the Communication Field: Comparing Asia to the Rest of the World," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 16(2), pages 10308-10328, June.
    • Handle: RePEc:spr:jknowl:v:16:y:2025:i:2:d:10.1007_s13132-024-02280-6
    DOI: 10.1007/s13132-024-02280-6
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    References listed on IDEAS

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    1. Xiaomei Bai & Feng Xia & Ivan Lee & Jun Zhang & Zhaolong Ning, 2016. "Identifying Anomalous Citations for Objective Evaluation of Scholarly Article Impact," PLOS ONE, Public Library of Science, vol. 11(9), pages 1-15, September.
    2. Morteza Akbari & Hamid Padash & Zahra Shahabaldini Parizi & Haniye Rezaei & Elmira Shahriari & Ala Khosravani, 2022. "A bibliometric review of green innovation research: identifying knowledge domain and network," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(6), pages 3993-4023, December.
    3. Elias G. Carayannis & David F. J. Campbell, 2021. "Democracy of Climate and Climate for Democracy: the Evolution of Quadruple and Quintuple Helix Innovation Systems," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 12(4), pages 2050-2082, December.
    4. Jungwon Yoon & Joshua SungWoo Yang & Han Woo Park, 2017. "Quintuple helix structure of Sino-Korean research collaboration in science," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 61-81, October.
    5. Manuel Goyanes & Márton Demeter & Aurea Grané & Tamás Tóth & Homero Gil Zúñiga, 2023. "Research patterns in communication (2009–2019): testing female representation and productivity differences, within the most cited authors and the field," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(1), pages 137-156, January.
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