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.
Self-regulated mobile game-based English learning in a virtual reality environment
This map shows the geographic impact of Yu-Li Chen'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 Yu-Li Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu-Li Chen more than expected).
This network shows the impact of papers produced by Yu-Li Chen. 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 Yu-Li Chen. The network helps show where Yu-Li Chen may publish in the future.
Co-authorship network of co-authors of Yu-Li Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Yu-Li Chen.
A scholar is included among the top collaborators of Yu-Li Chen 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 Yu-Li Chen. Yu-Li Chen is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Chen, Yu-Li, Chun-Chia Hsu, & Chih‐Yung Lin. (2021). Engaging Language Learners through the Use of Virtual Reality and a Robot. Society for Information Technology & Teacher Education International Conference. 906–909.1 indexed citations
Chen, Yu-Li & Chun-Chia Hsu. (2019). Student Self-Efficacy in Learning English in a Wearable Virtual Reality Environment. Society for Information Technology & Teacher Education International Conference. 1324–1327.1 indexed citations
Chen, Yu-Li, Chun-Chia Hsu, & Ji‐Liang Doong. (2016). Self regulation Assessment of Mobile Game-based Language Learning. Society for Information Technology & Teacher Education International Conference. 2016(1). 882–886.1 indexed citations
Doong, Ji‐Liang, Chun-Chia Hsu, & Yu-Li Chen. (2015). The Acceptance of Online Virtual Touring Technology for Cultural Tourism Education. Society for Information Technology & Teacher Education International Conference. 2015(1). 759–762.1 indexed citations
Chen, Yu-Li, Ji‐Liang Doong, & Chun-Chia Hsu. (2014). EFL learning scenarios: Effectiveness of using 3D virtual reality. Society for Information Technology & Teacher Education International Conference. 2014(1). 1090–1095.
Chen, Yu-Li, Ji‐Liang Doong, & Chun-Chia Hsu. (2013). Contextualized Vocabulary Learning through a Virtual Learning Environment. Society for Information Technology & Teacher Education International Conference. 2013(1). 4108–4114.
15.
Chen, Yu-Li. (2011). Fostering Taiwanese EFL Teachers’ Constructivist Instructional Beliefs Through Teaching Goals and ICT Use. The Asia-Pacific Education Researcher. 20(2). 1–1.9 indexed citations
16.
Ching, Gregory S. & Yu-Li Chen. (2011). Information Technology and the Factors that Affect College Cheating in Students. Society for Information Technology & Teacher Education International Conference. 2011(1). 1286–1292.1 indexed citations
Chen, Yu-Li. (2006). Factors influencing Internet use in teaching English: A study of EFL teachers in northern Taiwanese higher education institutions. 1–345.4 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.