Ting‐Ting Wu
- Education top 1%
- Developmental and Educational Psychology top 2%
- Information Systems top 1%
- Computer Science Applications top 0.5%
- Artificial Intelligence top 5%
- Co-authors
- Yueh‐Min HuangHsin‐Yu LeeYu-Tzu WuLusia Maryani SilitongaGwo‐Jen HwangWei‐Sheng WangRustam ShadievHui‐Chun Chu
- Topics
- Online Learning and Analytics (31 papers)Innovative Teaching and Learning Methods (25 papers)Educational Games and Gamification (25 papers)
- Journals
- SHILAP Revista de lepidopterologíaComputers in Human BehaviorComputers & Education
In The Last Decade
Ting‐Ting Wu
92 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Education 681
- Developmental and Educational Psychology 619
- Information Systems 590
- Computer Science Applications 533
- Artificial Intelligence 330
Countries citing papers authored by Ting‐Ting Wu
This map shows the geographic impact of Ting‐Ting Wu'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 Ting‐Ting Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting‐Ting Wu more than expected).
Fields of papers citing papers by Ting‐Ting Wu
This network shows the impact of papers produced by Ting‐Ting Wu. 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 Ting‐Ting Wu. The network helps show where Ting‐Ting Wu may publish in the future.
Co-authorship network of co-authors of Ting‐Ting Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Ting‐Ting Wu. A scholar is included among the top collaborators of Ting‐Ting Wu 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 Ting‐Ting Wu. Ting‐Ting Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 7 | |
| 7 | 5 | |
| 8 | 3 | |
| 9 | 19 | |
| 10 | 5 | |
| 11 | 14 | |
| 12 | 9 | |
| 13 | Empowering ChatGPT with guidance mechanism in blended learning: effect of self-regulated learning, higher-order thinking skills, and knowledge constructionbreakdown → | 78 |
| 14 | 10 | |
| 15 | 3 | |
| 16 | 41 | |
| 17 | 31 | |
| 18 | Promoting Self-Regulation Progress and Knowledge Construction in Blended Learning via ChatGPT-Based Learning Aidbreakdown → | 118 |
| 19 | Effectiveness of Remote-Control Cars and Authentic Learning in Strengthening Creative Thinking and Problem-Solving Abilities | 2 |
| 20 | 5 |
About Ting‐Ting Wu
Ting‐Ting Wu is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Health Informatics, having authored 99 papers that have together received 2.0k indexed citations. Recurring topics across this work include Online Learning and Analytics (31 papers), Innovative Teaching and Learning Methods (25 papers) and Educational Games and Gamification (25 papers). The work is most often cited by research in Computer Science Applications (533 citations), Health Informatics (81 citations) and Developmental and Educational Psychology (619 citations). Ting‐Ting Wu has collaborated with scholars based in Taiwan, China and Indonesia. Frequent co-authors include Yueh‐Min Huang, Hsin‐Yu Lee, Yu-Tzu Wu, Lusia Maryani Silitonga, Gwo‐Jen Hwang, Wei‐Sheng Wang, Rustam Shadiev, Hui‐Chun Chu, Chia‐Ju Lin and Shu-Hsien Huang. Their work appears in journals such as SHILAP Revista de lepidopterología, Computers in Human Behavior and Computers & Education.
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.