Davy Tsz Kit Ng
- Computer Science Applications top 0.1%
- Education top 1%
- Information Systems top 1%
- Artificial Intelligence top 2%
- Developmental and Educational Psychology top 2%
- Co-authors
- Samuel Kai Wah ChuJac Ka Lok LeungShen QiaoJiahong SuChi Wui NgYuchun ZhongWeipeng YangChee Wei Tan
- Topics
- Online Learning and Analytics (18 papers)Teaching and Learning Programming (12 papers)Educational Games and Gamification (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaFrontiers in PsychologyLearning and Instruction
- Partner nations
- Hong KongChinaUnited Kingdom
In The Last Decade
Davy Tsz Kit Ng
48 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Computer Science Applications 1.4k
- Education 705
- Information Systems 701
- Artificial Intelligence 659
- Developmental and Educational Psychology 528
Countries citing papers authored by Davy Tsz Kit Ng
This map shows the geographic impact of Davy Tsz Kit Ng'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 Davy Tsz Kit Ng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davy Tsz Kit Ng more than expected).
Fields of papers citing papers by Davy Tsz Kit Ng
This network shows the impact of papers produced by Davy Tsz Kit Ng. 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 Davy Tsz Kit Ng. The network helps show where Davy Tsz Kit Ng may publish in the future.
Co-authorship network of co-authors of Davy Tsz Kit Ng
This figure shows the co-authorship network connecting the top 25 collaborators of Davy Tsz Kit Ng. A scholar is included among the top collaborators of Davy Tsz Kit Ng 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 Davy Tsz Kit Ng. Davy Tsz Kit Ng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | Understanding K–12 teachers’ technological pedagogical content knowledge readiness and attitudes toward artificial intelligence educationbreakdown → | 59 |
| 8 | 4 | |
| 9 | 2 | |
| 10 | 29 | |
| 11 | 26 | |
| 12 | 27 | |
| 13 | 32 | |
| 14 | 11 | |
| 15 | 70 | |
| 16 | 1 | |
| 17 | Teachers’ AI digital competencies and twenty-first century skills in the post-pandemic worldbreakdown → | 253 |
| 18 | 52 | |
| 19 | A review of AI teaching and learning from 2000 to 2020breakdown → | 186 |
| 20 | 12 |
About Davy Tsz Kit Ng
Davy Tsz Kit Ng is a scholar working on Computer Science Applications, Health Informatics and Safety Research, having authored 54 papers that have together received 3.0k indexed citations. Recurring topics across this work include Online Learning and Analytics (18 papers), Teaching and Learning Programming (12 papers) and Educational Games and Gamification (11 papers). The work is most often cited by research in Health Informatics (469 citations), Computer Science Applications (1.4k citations) and Safety Research (449 citations). Davy Tsz Kit Ng has collaborated with scholars based in Hong Kong, China and United Kingdom. Frequent co-authors include Samuel Kai Wah Chu, Jac Ka Lok Leung, Shen Qiao, Jiahong Su, Chi Wui Ng, Yuchun Zhong, Weipeng Yang, Chee Wei Tan, J. Stephen Downie and Min Lee. Their work appears in journals such as SHILAP Revista de lepidopterología, Frontiers in Psychology and Learning and Instruction.
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.