Yen-Ning Su
Impact in
- Computer Science Applications top 10%
- Online Learning and Analytics
- Information Systems top 5%
- Mobile Learning in Education
- Educational Methods and Media Use
- Library Collection Development and Digital Resources
Papers in
-
- Mobile Learning in Education 2
- Library Collection Development and Digital Resources 1
-
- Educational Games and Gamification 3
- Co-authors
- Yueh‐Min Huang (6 shared papers)Tsung Ho Liang (1 shared paper)Nian‐Shing Chen (1 shared paper)Ting‐Ting Wu (1 shared paper)Hsin‐Chin Chen (2 shared papers)Wei-Fan Chen (1 shared paper)Chih‐En Kuo (1 shared paper)Tsung‐Yen Chuang (2 shared papers)
- Journals
- Computers in Human Behavior (1 paper)Educational Technology Research and Development (1 paper)Engineering Applications of Artificial Intelligence (1 paper)Sensors (1 paper)Engineering Computations (1 paper)
- Partner nations
- TaiwanUnited States
In The Last Decade
Yen-Ning Su
10 papers receiving 282 citations
Peers
Comparison fields: 5 of 63
- Computer Science Applications 47
- Information Systems 163
- Information Systems and Management 39
- Human-Computer Interaction 31
- Developmental and Educational Psychology 64
Countries citing papers authored by Yen-Ning Su
This map shows the geographic impact of Yen-Ning Su'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 Yen-Ning Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yen-Ning Su more than expected).
Fields of papers citing papers by Yen-Ning Su
This network shows the impact of papers produced by Yen-Ning Su. 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 Yen-Ning Su. The network helps show where Yen-Ning Su may publish in the future.
Co-authors
The 11 scholars most cited alongside Yen-Ning Su, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 166 | |
| 2 | 2017 | 62 | |
| 3 | 2012 | 25 | |
| 4 | 2018 | 21 | |
| 5 | 2014 | 10 | |
| 6 | 2011 | 5 | |
| 7 | 2018 | 3 | |
| 8 | 2015 | 3 | |
| 9 | 2024 | 2 | |
| 10 | 2022 | 1 | |
| 11 | 2025 | 0 |
About Yen-Ning Su
Yen-Ning Su is a scholar working on Information Systems, Developmental and Educational Psychology, Experimental and Cognitive Psychology, Computer Science Applications and Computer Networks and Communications, having authored 11 papers that have together received 298 indexed citations. Recurring topics across this work include Educational Games and Gamification (3 papers), Mobile Learning in Education (2 papers), Online Learning and Analytics (2 papers), Advanced Malware Detection Techniques (1 paper), COVID-19 diagnosis using AI (1 paper), Augmented Reality Applications (1 paper), Library Collection Development and Digital Resources (1 paper) and Smart Parking Systems Research (1 paper). The work is most often cited by research in Computer Science Applications (47 citations), Information Systems (163 citations), Information Systems and Management (39 citations), Human-Computer Interaction (31 citations) and Developmental and Educational Psychology (64 citations). Yen-Ning Su has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Yueh‐Min Huang, Tsung Ho Liang, Nian‐Shing Chen, Ting‐Ting Wu, Hsin‐Chin Chen, Wei-Fan Chen, Chih‐En Kuo, Tsung‐Yen Chuang, Hung-Hsu Tsai and Simon S. Lo. Their work appears in journals such as Computers in Human Behavior, Educational Technology Research and Development, Engineering Applications of Artificial Intelligence, Sensors and Engineering Computations.
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.