Feifei Han
Impact in
- Computer Science Applications top 0.5%
- Online Learning and Analytics
- E-Learning and Knowledge Management
-
- Innovative Teaching and Learning Methods
Papers in
- Education 53
- Online and Blended Learning 30
- Evaluation of Teaching Practices 13
- Early Childhood Education and Development 9
- Innovative Teaching Methods 7
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- Innovative Teaching and Learning Methods 17
- Reading and Literacy Development 8
- Co-authors
- Robert A. Ellis (22 shared papers)Abelardo Pardo (7 shared papers)Robert A. Ellis (2 shared papers)Keith Trigwell (2 shared papers)Robert Ellis (1 shared paper)Sheila Degotardi (7 shared papers)Jane Torr (4 shared papers)Zehua Wang (2 shared papers)
In The Last Decade
Feifei Han
77 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 86
- Computer Science Applications 389
- Developmental and Educational Psychology 380
- Education 807
- Health Informatics 12
- Information Systems 174
Countries citing papers authored by Feifei Han
This map shows the geographic impact of Feifei Han'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 Feifei Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feifei Han more than expected).
Fields of papers citing papers by Feifei Han
This network shows the impact of papers produced by Feifei Han. 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 Feifei Han. The network helps show where Feifei Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Feifei Han, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 167 | |
| 2 | 2016 | 149 | |
| 3 | 2018 | 108 | |
| 4 | 2019 | 87 | |
| 5 | 2016 | 68 | |
| 6 | 2011 | 55 | |
| 7 | Improving learning analytics – Combining observational and self-report data on student learning | 2017 | 44 |
| 8 | 2016 | 37 | |
| 9 | 2019 | 31 | |
| 10 | 2019 | 30 | |
| 11 | 2021 | 26 | |
| 12 | 2020 | 24 | |
| 13 | 2018 | 23 | |
| 14 | 2021 | 22 | |
| 15 | 2018 | 21 | |
| 16 | 2021 | 20 | |
| 17 | 2022 | 20 | |
| 18 | 2014 | 19 | |
| 19 | 2017 | 18 | |
| 20 | 2020 | 17 |
About Feifei Han
Feifei Han is a scholar working on Education, Developmental and Educational Psychology, Computer Science Applications, Artificial Intelligence and Language and Linguistics, having authored 80 papers that have together received 1.3k indexed citations. Recurring topics across this work include Online and Blended Learning (30 papers), Online Learning and Analytics (21 papers), Innovative Teaching and Learning Methods (17 papers), Evaluation of Teaching Practices (13 papers), Early Childhood Education and Development (9 papers), Reading and Literacy Development (8 papers), Innovative Teaching Methods (7 papers) and EFL/ESL Teaching and Learning (7 papers). The work is most often cited by research in Computer Science Applications (389 citations), Developmental and Educational Psychology (380 citations), Education (807 citations), Health Informatics (12 citations) and Information Systems (174 citations). Feifei Han has collaborated with scholars based in Australia, China and Czechia. Frequent co-authors include Robert A. Ellis, Abelardo Pardo, Robert A. Ellis, Keith Trigwell, Robert Ellis, Sheila Degotardi, Jane Torr, Zehua Wang, Zehua Wang and Zehua Wang. Their work appears in journals such as Frontiers in Psychology, Australasian Journal of Educational Technology, PLoS ONE, Sustainability and Education and Information Technologies.
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.