Fong-Ling Fu
Impact in
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- Educational Games and Gamification
- Flow Experience in Various Fields
- Innovative Teaching and Learning Methods
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- Online Learning and Analytics
Papers in
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- Technology Adoption and User Behaviour 3
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- Online and Blended Learning 3
- Education and Communication Studies 2
- Co-authors
- Sheng-Chin Yu (5 shared papers)Ya‐Ling Wu (1 shared paper)Travis K. Huang (1 shared paper)Chien‐Liang Lin (2 shared papers)Yu-Sheng Su (1 shared paper)
- Journals
- Computers & Education (2 papers)Behaviour and Information Technology (1 paper)網際網路技術學刊 (1 paper)Procedia - Social and Behavioral Sciences (1 paper)
- Partner nations
- TaiwanUnited States
In The Last Decade
Fong-Ling Fu
8 papers receiving 547 citations
Fong-Ling Fu's Hit Papers
Peers
Comparison fields: 5 of 78
- Developmental and Educational Psychology 397
- Computer Science Applications 138
- Human-Computer Interaction 99
- Information Systems and Management 55
- Education 123
Countries citing papers authored by Fong-Ling Fu
This map shows the geographic impact of Fong-Ling Fu'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 Fong-Ling Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fong-Ling Fu more than expected).
Fields of papers citing papers by Fong-Ling Fu
This network shows the impact of papers produced by Fong-Ling Fu. 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 Fong-Ling Fu. The network helps show where Fong-Ling Fu may publish in the future.
Co-authors
The 5 scholars most cited alongside Fong-Ling Fu, 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 | EGameFlow: A scale to measure learners’ enjoyment of e-learning games Hit paper breakdown → | 2008 | 488 |
| 2 | 2009 | 83 | |
| 3 | 2009 | 11 | |
| 4 | 2006 | 8 | |
| 5 | Charismatic Learning: Students’ Satisfaction with E-Learning in Higher Education | 2019 | 4 |
| 6 | 2015 | 1 | |
| 7 | 2013 | 1 | |
| 8 | 2010 | 1 | |
| 9 | 2015 | 1 |
About Fong-Ling Fu
Fong-Ling Fu is a scholar working on Information Systems and Management, Education, Developmental and Educational Psychology, Strategy and Management and Sociology and Political Science, having authored 9 papers that have together received 598 indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (3 papers), Online and Blended Learning (3 papers), Education and Communication Studies (2 papers), Customer Service Quality and Loyalty (2 papers), Online Learning and Analytics (2 papers), Consumer Retail Behavior Studies (2 papers), Educational Games and Gamification (2 papers) and Virtual Reality Applications and Impacts (1 paper). The work is most often cited by research in Developmental and Educational Psychology (397 citations), Computer Science Applications (138 citations), Human-Computer Interaction (99 citations), Information Systems and Management (55 citations) and Education (123 citations). Fong-Ling Fu has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Sheng-Chin Yu, Ya‐Ling Wu, Travis K. Huang, Chien‐Liang Lin and Yu-Sheng Su. Their work appears in journals such as Computers & Education, Behaviour and Information Technology, 網際網路技術學刊 and Procedia - Social and Behavioral Sciences.
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.