Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
A systematic review of conversational AI in language education: focusing on the collaboration with human teachers
2022192 citationsHyangeun Ji, Insook Han et al.Journal of Research on Technology in Educationprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Insook Han's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Insook Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Insook Han more than expected).
This network shows the impact of papers produced by Insook Han. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Insook Han. The network helps show where Insook Han may publish in the future.
Co-authorship network of co-authors of Insook Han
This figure shows the co-authorship network connecting the top 25 collaborators of Insook Han.
A scholar is included among the top collaborators of Insook Han based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Insook Han. Insook Han is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Ji, Hyangeun, Insook Han, & Yujung Ko. (2022). A systematic review of conversational AI in language education: focusing on the collaboration with human teachers. Journal of Research on Technology in Education. 55(1). 48–63.192 indexed citations breakdown →
Ryu, Jeeheon, et al.. (2016). Developing a 3D Virtual Environment for Hearing Impaired Learners’ Learning of CNC Machine Operation. Society for Information Technology & Teacher Education International Conference. 2016(1). 2450–2454.1 indexed citations
Shin, Won Sug, et al.. (2012). Influence of Technology Integration Course on Preservice Teachers’ Technological Pedagogical and Content Knowledge (TPACK). Journal of the Korean Association of Information Education. 16(1). 71–80.3 indexed citations
Kang, Seokmin, et al.. (2009). Case Studies of Developing Programming Skills via Embodied Experiences in an After-School LEGO Robotics Program for Elementary School Students. EdMedia: World Conference on Educational Media and Technology. 2009(1). 2209–2216.2 indexed citations
16.
Han, Insook, et al.. (2009). Possibilities of Haptic Feedback Simulation for Physics Learning. EdMedia: World Conference on Educational Media and Technology. 2009(1). 3597–3602.11 indexed citations
17.
Han, Insook, et al.. (2008). The Effects of Epistemic Belief and Discussion-Facilitating Strategy on Interaction and Satisfaction in Online Discussion. The Journal of Interactive Learning Research. 19(4). 649–662.7 indexed citations
18.
Han, Insook & Charles K. Kinzer. (2008). Examining the effectiveness of a multimedia case-based environment for teaching technology integration to Korean preservice teachers. International Conference of Learning Sciences. 319–326.2 indexed citations
19.
Han, Insook & Charles K. Kinzer. (2007). Developing a Multimedia Case-based Learning Environment: Teaching Technology Integration to Korean Preservice Teachers. EdMedia: World Conference on Educational Media and Technology. 2007(1). 64–69.1 indexed citations
20.
Han, Insook, et al.. (1989). A study on the Program for substantial science Education in Secondary schools:Secondary school science Teacher Education and In-service Training.. Journal of The Korean Association For Science Education. 9(2). 1–12.1 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.