The Analysis of Worldwide Research on Artificial Intelligence Assisted User Modeling

  • Xieling Chen
  • Dongfa Gao
  • Yonghui Lun
  • Dingli Zhou
  • Tianyong HaoEmail author
  • Haoran XieEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11984)


Information and communication technologies is being heralded as a catalyst for educational innovations. Artificial intelligence (AI) assisted user modeling has attracted great increasing interests from the academia with a growing research articles available. In this article, a bibliometric analysis of scientific literature concerning AI assisted user modeling was carried out. 333 articles from Web of Science were retrieved and analyzed to comprehensively understand trends and developments of the research field. Specifically, we analyzed the articles in terms of article count and citation count, influential journals, subjects, authors, and keyword occurrence. Finally, special attention was paid to the study of leading countries/regions and institutions. Findings of this work are useful in helping scholars as well as practitioners better understand the development trend of research of AI assisted user modeling, as well as being more aware of the research hotspots.


Artificial intelligence User modeling Bibliometric analysis Research hotspots Topic evolution 



This work was supported by National Natural Science Foundation of China (No.61772146).


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Authors and Affiliations

  1. 1.Department of Mathematics and Information TechnologyThe Education University of Hong KongHong Kong SARChina
  2. 2.School of Information Science and TechnologyGuangdong University of Foreign StudiesGuangzhouChina
  3. 3.Guangzhou Huagong Information Software Co., LTD.GuangzhouChina
  4. 4.School of Computer ScienceSouth China Normal UniversityGuangzhouChina
  5. 5.Department of Computing and Decision SciencesLingnan UniversityHong Kong SARChina

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