I‐Chun Hung

13 papers receiving 482 citations

Peers

I‐Chun Hung
Comparison fields: 5 of 75
  • Computer Science Applications 144
  • Developmental and Educational Psychology 149
  • Education 290
  • Human-Computer Interaction 53
  • Information Systems 121
Replace Lu‐Ho Hsia with:
Lu‐Ho Hsia Taiwan
Hsiu‐Ling Chen Taiwan
Jirarat Sitthiworachart Thailand
Yam San Chee Singapore
Claudia Nerdel Germany
Seokmin Kang United States
Stamatina Anastopoulou United Kingdom
Chen Chung Liu Taiwan
Gaoxia Zhu Singapore
Eric Poitras Canada
I‐Chun Hung relative to Lu‐Ho Hsia Taiwan Lu‐Ho Hsia's profile →
Citations per field
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Lu‐Ho Hsia · 1×
Citations per year

Countries citing papers authored by I‐Chun Hung

Since Specialization
Citations

This map shows the geographic impact of I‐Chun Hung'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 I‐Chun Hung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I‐Chun Hung more than expected).

Fields of papers citing papers by I‐Chun Hung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I‐Chun Hung. 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 I‐Chun Hung. The network helps show where I‐Chun Hung may publish in the future.

Co-authors

The 10 scholars most cited alongside I‐Chun Hung, 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 I‐Chun Hung Line = papers co-authored together I‐Chun Hung links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2010110
2 201796
3
A Joyful Classroom Learning System with Robot Learning Companion for Children to Learn Mathematics Multiplication
201186
4 201362
5 201953
6 201244
7 201432
8 201515
9 20169
10 20104
11 20193
12 20111
13 20121

About I‐Chun Hung

I‐Chun Hung is a scholar working on Developmental and Educational Psychology, Information Systems, Education, Computer Science Applications and Experimental and Cognitive Psychology, having authored 13 papers that have together received 516 indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (4 papers), Mobile Learning in Education (4 papers), Virtual Reality Applications and Impacts (3 papers), Visual and Cognitive Learning Processes (3 papers), Online and Blended Learning (3 papers), Action Observation and Synchronization (2 papers), Technology Adoption and User Behaviour (2 papers) and Impact of Technology on Adolescents (2 papers). The work is most often cited by research in Computer Science Applications (144 citations), Developmental and Educational Psychology (149 citations), Education (290 citations), Human-Computer Interaction (53 citations) and Information Systems (121 citations). I‐Chun Hung has collaborated with scholars based in Taiwan, United States and Canada. Frequent co-authors include Nian‐Shing Chen, Kinshuk Kinshuk, Ling Lee, Chun‐Wang Wei, Wei‐Chieh Fang, Gwo‐Jen Hwang, Liang‐In Lin, Sie Wai Chew, Junfeng Yang and Echo Huang. Their work appears in journals such as Computers & Education, Educational Technology Research and Development, Interacting with Computers, Smart Learning Environments and Innovations in Education and Teaching International.

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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