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Bibliometric analysis on the evolution of applied intelligence

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Abstract

The Applied Intelligence (APIN) published its first issue in 1991 and it is one of the important academic journals in the field of computer science. This study aims to examine the structure and citation landscape as well as the evolution of the APIN journal based on all the APIN articles included in web of science core collection database. Research results of this study including the author characteristics, manuscript characteristics, productive and influential institutions and countries. Various kinds of networks are provided to visualize the complex relationships from different perspectives, including institutions and countries. The co-occurrence network and detection of the bursting keywords are used to explore the research hotspots in the APIN journal. The main advantage of this study is that it provides a comprehensive and objective view of the APIN journal. This study is very helpful for scholars to grasp the content structure and development process of APIN journal. It is also valuable for scholars in the field of artificial intelligence to identify the research hotspots in this field.

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Acknowledgements

This work was supported by the project of philosophy and Social Science in Zhejiang (No. 16NDJC159YB), the China National Natural Science Foundation (Nos. 71771155, 71571123), the Zhejiang Science & Technology Plan of China (No. 2015C33024), and the Zhejiang Provincial Natural Science Foundation of China (No. LY17G010007).

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Authors and Affiliations

  1. Business School, Nanjing Audit University, Nanjing, Jiangsu, 211815, China

    Dejian Yu

  2. Business School, Sichuan University, Chengdu, 610064, China

    Zeshui Xu

  3. School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, 210044, China

    Zeshui Xu

  4. Faculty of Software and Information Science, Iwate Prefectural University, 020-0193, Iwate, Japan

    Hamido Fujita

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  1. Dejian Yu
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  2. Zeshui Xu
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  3. Hamido Fujita
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Correspondence to Zeshui Xu.

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Yu, D., Xu, Z. & Fujita, H. Bibliometric analysis on the evolution of applied intelligence. Appl Intell 49, 449–462 (2019). https://doi.org/10.1007/s10489-018-1278-z

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  • DOI: https://doi.org/10.1007/s10489-018-1278-z

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