Yu‐Hui Ching

2.2k citations
60 papers · 1.4k · h-index 21

Impact in

Papers in

Yu‐Hui Ching

55 papers receiving 1.3k citations

Peers

Yu‐Hui Ching
Comparison fields: 5 of 99
  • Computer Science Applications 556
  • Developmental and Educational Psychology 349
  • Health Informatics 33
  • Education 624
  • Information Systems 398
Replace Petrea Redmond with:
Petrea Redmond Australia
Zehui Zhan China
María Jesús Rodríguez‐Triana Estonia
Mete Akcaoğlu United States
Yu‐Chang Hsu United States
Chen‐Chung Liu Taiwan
Krista Glazewski United States
David Gibson Australia
Barbara Wasson Norway
Teemu Valtonen Finland
Yu‐Hui Ching relative to Petrea Redmond Australia Petrea Redmond's profile →
Citations per field
00.5×2.9×
Petrea Redmond · 1×
Citations per year

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).

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.

Co-authors

The 20 scholars most cited alongside Yu‐Hui Ching, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yu‐Hui Ching Line = papers co-authored together Yu‐Hui Ching links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018125
2 2017112
3 201974
4 202371
5 201368
6 201365
7 201764
8 201257
9 201355
10 201951
11 201345
12 202343
13 201339
14 201838
15 201535
16 201828
17 202127
18 201126
19 201925
20 201624

About Yu‐Hui Ching

Yu‐Hui Ching is a scholar working on Education, Developmental and Educational Psychology, Computer Science Applications, Information Systems and Sociology and Political Science, having authored 60 papers that have together received 1.4k indexed citations. Recurring topics across this work include Online and Blended Learning (22 papers), Innovative Teaching and Learning Methods (21 papers), Teaching and Learning Programming (12 papers), Mobile Learning in Education (12 papers), Online Learning and Analytics (8 papers), Educational Games and Gamification (6 papers), Impact of Technology on Adolescents (5 papers) and Educational Research and Pedagogy (4 papers). The work is most often cited by research in Computer Science Applications (556 citations), Developmental and Educational Psychology (349 citations), Health Informatics (33 citations), Education (624 citations) and Information Systems (398 citations). Yu‐Hui Ching has collaborated with scholars based in United States and Taiwan. Frequent co-authors include Yu‐Chang Hsu, Sally Baldwin, Youngkyun Baek, Jui-Long Hung, Dazhi Yang, Bhaskar Chittoori, Norm Friesen, Chareen Snelson, Francis M. Dwyer and Kerry Rice. Their work appears in journals such as TechTrends, The International Review of Research in Open and Distributed Learning, Online Learning, Australasian Journal of Educational Technology and British Journal of Educational Technology.

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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