Yueh‐Min Huang

13.2k citations
415 papers · 8.5k indexed · 4 hit papers · h-index 48
Topics
Innovative Teaching and Learning Methods (59 papers)Mobile Learning in Education (56 papers)Online Learning and Analytics (48 papers)
Partner nations
TaiwanChinaUnited States

In The Last Decade

Yueh‐Min Huang

398 papers receiving 8.0k citations

Hit Papers

Review of research on mobile language learning in authent...2017202620202023201720222023202450100150

Peers

Yueh‐Min Huang
Comparison fields: 5 of 172
  • Information Systems 2.5k
  • Education 1.9k
  • Developmental and Educational Psychology 1.7k
  • Computer Networks and Communications 1.4k
  • Artificial Intelligence 1.4k
Replace Nian‐Shing Chen with:
Nian‐Shing Chen Taiwan
Kinshuk Kinshuk Canada
Katrien Verbert Belgium
Peter Brusilovsky United States
Miltiadis D. Lytras Greece
Judy Kay Australia
Carlos Delgado Kloos Spain
Simon Buckingham Shum United Kingdom
Anastasios A. Economides Greece
Francisco José García‐Peñalvo Spain
Yueh‐Min Huang relative to Nian‐Shing Chen Taiwan Nian‐Shing Chen's profile →
Citations per field
00.5×3.4×
Nian‐Shing Chen · 1×
Citations per year

Countries citing papers authored by Yueh‐Min Huang

Since Specialization
Citations

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

Fields of papers citing papers by Yueh‐Min Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yueh‐Min Huang. 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 Yueh‐Min Huang. The network helps show where Yueh‐Min Huang may publish in the future.

Co-authorship network of co-authors of Yueh‐Min Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Yueh‐Min Huang. A scholar is included among the top collaborators of Yueh‐Min Huang 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 Yueh‐Min Huang. Yueh‐Min Huang 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
#WorkIndexed citations
1 5
2 1
3 0
4 5
5 3
6 3
7 19
8 5
9 14
10 9
11 3
12 41
13 31
14 9
15 17
16 21
17 36
18 22
19
Designing a Personalized Guide Recommendation System to Mitigate Information Overload in Museum Learning
30
20 3

About Yueh‐Min Huang

Yueh‐Min Huang is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Information Systems, having authored 415 papers that have together received 8.5k indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (59 papers), Mobile Learning in Education (56 papers) and Online Learning and Analytics (48 papers). The work is most often cited by research in Computer Science Applications (1.3k citations), Developmental and Educational Psychology (1.7k citations) and Information Systems (2.5k citations). Yueh‐Min Huang has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Ting‐Ting Wu, Rustam Shadiev, Yen-Ting Lin, Shu-Chen Cheng, Po‐Sheng Chiu, Han‐Chieh Chao, Chin‐Feng Lai, Wu‐Yuin Hwang, Shu-Hsien Huang and Hsin‐Yu Lee. Their work appears in journals such as PLoS ONE, Computers in Human Behavior and Expert Systems with Applications.

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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