Yu‐Hui Ching

49 papers and 956 indexed citations i.

About

Yu‐Hui Ching is a scholar working on Education, Developmental and Educational Psychology and Computer Science Applications. According to data from OpenAlex, Yu‐Hui Ching has authored 49 papers receiving a total of 956 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Education, 21 papers in Developmental and Educational Psychology and 15 papers in Computer Science Applications. Recurrent topics in Yu‐Hui Ching’s work include Online and Blended Learning (20 papers), Innovative Teaching and Learning Methods (17 papers) and Mobile Learning in Education (10 papers). Yu‐Hui Ching is often cited by papers focused on Online and Blended Learning (20 papers), Innovative Teaching and Learning Methods (17 papers) and Mobile Learning in Education (10 papers). Yu‐Hui Ching collaborates with scholars based in United States and Taiwan. Yu‐Hui Ching's co-authors include Yu‐Chang Hsu, Sally Baldwin, Jui-Long Hung, Youngkyun Baek, Dazhi Yang, Norm Friesen, Bhaskar Chittoori, Chareen Snelson, Francis M. Dwyer and Huifen Lin and has published in prestigious journals such as Educational Technology Research and Development, British Journal of Educational Technology and The International Review of Research in Open and Distributed Learning.

In The Last Decade

Co-authorship network of co-authors of Yu‐Hui Ching i

Fields of papers citing papers by Yu‐Hui Ching

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Yu‐Hui Ching

Since Specialization
Citations

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).

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.

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2025