This map shows the geographic impact of Yu‐Hui Ching'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‐Hui Ching with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu‐Hui Ching more than expected).
This network shows the impact of papers produced by Yu‐Hui Ching. 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‐Hui Ching. The network helps show where Yu‐Hui Ching may publish in the future.
Co-authorship network of co-authors of Yu‐Hui Ching
This figure shows the co-authorship network connecting the top 25 collaborators of Yu‐Hui Ching.
A scholar is included among the top collaborators of Yu‐Hui Ching 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‐Hui Ching. Yu‐Hui Ching is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Hsu, Yu‐Chang, Yu‐Hui Ching, & Sally Baldwin. (2017). Physical Computing for STEAM Education: Maker-Educators' Experiences in an Online Graduate Course. Scholar Works (Boise State University). 37(1). 53–610.7 indexed citations
8.
Ching, Yu‐Hui, Yu‐Chang Hsu, & Sally Baldwin. (2017). Becoming an Online Teacher: An Analysis of Prospective Online Instructors’ Reflections. The Journal of Interactive Learning Research. 29(2). 145–168.18 indexed citations
9.
Ching, Yu‐Hui, Yu‐Chang Hsu, & Kerry Rice. (2015). Teaching Online: Prospective Online Teachers’ Experiences and Prioritized Areas for Training. Scholar Works (Boise State University). 2015(1). 234–239.2 indexed citations
10.
Ching, Yu‐Hui & Yu‐Chang Hsu. (2015). Gender Effects on Online Learners’ Preferences for Discussion Modality. Scholar Works (Boise State University). 2015(1). 229–233.
11.
Hsu, Yu‐Chang, Yu‐Hui Ching, & Chareen Snelson. (2014). Research Priorities in Mobile Learning: An International Delphi Study. Canadian Journal of Learning and Technology. 40(2).12 indexed citations
Lin, Huifen, Yu‐Hui Ching, Yu‐Chang Hsu, & Francis M. Dwyer. (2010). Learning from Animation: The Effect of Prior Knowledge and Navigation Mode. International journal of instructional media. 37(2). 201.2 indexed citations
15.
Ching, Yu‐Hui & Yu‐Chang Hsu. (2010). Blogging in Higher Education: Issues, Challenges, and Design Considerations (D & D). Scholar Works (Boise State University).1 indexed citations
16.
Hsu, Yu‐Chang, Huifen Lin, Yu‐Hui Ching, & Francis M. Dwyer. (2009). The effects of web-based instruction navigation modes on undergraduates’ learning outcomes. Educational Technology & Society. 12(1). 271–284.8 indexed citations
Ching, Yu‐Hui. (2009). THE EFFECTS OF COMPUTER-BASED VIDEO STRATEGY TRAINING FOR PROBLEM REPRESENTATION AND SELF-EXPLANATION ON UNDERGRADUATE STUDENTS REPRESENTING AND SOLVING ILL-STRUCTURED PROBLEMS.2 indexed citations
19.
Hsu, Yu‐Chang, Yu‐Hui Ching, & Barbara L. Grabowski. (2008). Bookmarking/Tagging in the Web 2.0 Era: From an Individual Cognitive Tool to a Collaborative Knowledge Construction Tool for Educators. E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education. 2008(1). 909–914.1 indexed citations
20.
Lin, Huifen, Yu‐Hui Ching, Yu‐Chang Hsu, & Francis M. Dwyer. (2006). The Effect of Prior Knowledge and Navigation Mode on Learning from Animation: A cognitive load perspective. EdMedia: World Conference on Educational Media and Technology. 2006(1). 540–546.1 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.