Sharon Lynn Chu
- Computer Science Applications top 1%
- Human-Computer Interaction top 1%
- Education top 5%
- Developmental and Educational Psychology top 10%
- Mechanical Engineering
- Co-authors
- Francis QuekAndrew G. ChristyGenna AngelloKaiyuan ChenRebecca J. SchlegelHenry Been‐Lirn DuhAlan J. H. McGaugheyChris North
- Topics
- Teaching and Learning Programming (23 papers)Innovative Human-Technology Interaction (18 papers)Design Education and Practice (14 papers)
- Cited by
- Computer Science ApplicationsHuman-Computer InteractionDevelopmental and Educational Psychology
- Journals
- SHILAP Revista de lepidopterologíaComputers & EducationMeat Science
- Partner nations
- United StatesSingaporeCanada
In The Last Decade
Sharon Lynn Chu
63 papers receiving 706 citations
Peers
Comparison fields: 5 of 92
- Computer Science Applications 256
- Human-Computer Interaction 239
- Education 172
- Developmental and Educational Psychology 134
- Mechanical Engineering 119
Countries citing papers authored by Sharon Lynn Chu
This map shows the geographic impact of Sharon Lynn Chu'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 Sharon Lynn Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sharon Lynn Chu more than expected).
Fields of papers citing papers by Sharon Lynn Chu
This network shows the impact of papers produced by Sharon Lynn Chu. 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 Sharon Lynn Chu. The network helps show where Sharon Lynn Chu may publish in the future.
Co-authorship network of co-authors of Sharon Lynn Chu
This figure shows the co-authorship network connecting the top 25 collaborators of Sharon Lynn Chu. A scholar is included among the top collaborators of Sharon Lynn Chu 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 Sharon Lynn Chu. Sharon Lynn Chu 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 | 2 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 10 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 3 | |
| 9 | 0 | |
| 10 | 4 | |
| 11 | 3 | |
| 12 | 20 | |
| 13 | 11 | |
| 14 | 4 | |
| 15 | 11 | |
| 16 | 6 | |
| 17 | 13 | |
| 18 | 4 | |
| 19 | 10 | |
| 20 | 32 |
About Sharon Lynn Chu
Sharon Lynn Chu is a scholar working on Computer Science Applications, Human-Computer Interaction and Developmental and Educational Psychology, having authored 74 papers that have together received 737 indexed citations. Recurring topics across this work include Teaching and Learning Programming (23 papers), Innovative Human-Technology Interaction (18 papers) and Design Education and Practice (14 papers). The work is most often cited by research in Computer Science Applications (256 citations), Human-Computer Interaction (239 citations) and Developmental and Educational Psychology (134 citations). Sharon Lynn Chu has collaborated with scholars based in United States, Singapore and Canada. Frequent co-authors include Francis Quek, Andrew G. Christy, Genna Angello, Kaiyuan Chen, Rebecca J. Schlegel, Henry Been‐Lirn Duh, Alan J. H. McGaughey, Chris North, Jinsil Hwaryoung Seo and Sarah Anne Brown. Their work appears in journals such as SHILAP Revista de lepidopterología, Computers & Education and Meat Science.
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.