Jie Chao
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- Teaching and Learning Programming 11
- Online Learning and Analytics 7
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- Innovative Teaching and Learning Methods 5
- Human-Computer Interaction top 5%
- Architecture top 5%
- Media Technology top 5%
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- Design Education and Practice 5
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- Genetics, Bioinformatics, and Biomedical Research 4
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- Statistics Education and Methodologies 4
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- Gender and Technology in Education 3
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- Software Engineering Research 2
- Co-authors
- Jennifer L. ChiuChangzhao WangJi ShenCharles XieSaeid NourianDavid F. FeldonCorey SchimpfBriana E. Timmerman
- Cited by
- Computer Science ApplicationsDevelopmental and Educational PsychologyHuman-Computer Interaction
- Journals
- Computers & Education (2 papers)Journal of Research in Science Teaching (1 paper)Learning and Instruction (1 paper)
- Partner nations
- United StatesHong KongChina
In The Last Decade
Jie Chao
33 papers receiving 668 citations
Peers
Comparison fields: 5 of 80
- Computer Science Applications 219
- Developmental and Educational Psychology 188
- Human-Computer Interaction 74
- Architecture 18
- Media Technology 99
Countries citing papers authored by Jie Chao
This map shows the geographic impact of Jie Chao'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 Jie Chao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jie Chao more than expected).
Fields of papers citing papers by Jie Chao
This network shows the impact of papers produced by Jie Chao. 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 Jie Chao. The network helps show where Jie Chao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jie Chao, 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 | 2024 | 9 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 5 | |
| 5 | 2023 | 8 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 6 | |
| 9 | 2022 | 12 | |
| 10 | 2022 | 29 | |
| 11 | 2022 | 4 | |
| 12 | 2021 | 105 | |
| 13 | 2020 | 30 | |
| 14 | Using Machine Learning Techniques to Capture Engineering Design Behaviors. | 2018 | 2 |
| 15 | 2018 | 5 | |
| 16 | 2018 | 3 | |
| 17 | 2017 | 11 | |
| 18 | 2013 | 55 | |
| 19 | 2009 | 8 | |
| 20 | Design of Turntable of EBH-120 Road Header | 2008 | 1 |
About Jie Chao
Jie Chao is a scholar working on Computer Science Applications, Architecture and Developmental and Educational Psychology, having authored 35 papers that have together received 711 indexed citations. Recurring topics across this work include Teaching and Learning Programming (11 papers), Online Learning and Analytics (7 papers), Innovative Teaching and Learning Methods (5 papers), Design Education and Practice (5 papers), Genetics, Bioinformatics, and Biomedical Research (4 papers), Statistics Education and Methodologies (4 papers), Gender and Technology in Education (3 papers) and Software Engineering Research (2 papers). The work is most often cited by research in Computer Science Applications (219 citations), Developmental and Educational Psychology (188 citations) and Human-Computer Interaction (74 citations). Jie Chao has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Jennifer L. Chiu, Changzhao Wang, Ji Shen, Charles Xie, Saeid Nourian, David F. Feldon, Corey Schimpf, Briana E. Timmerman, Michelle Maher and Carolyn Penstein Rosé. Their work appears in journals such as Computers & Education, Journal of Research in Science Teaching 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.