Yang Jiang
Impact in
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- Online Learning and Analytics
- Health Informatics top 10%
Papers in
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- Intelligent Tutoring Systems and Adaptive Learning 10
- Anomaly Detection Techniques and Applications 3
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- Innovative Teaching and Learning Methods 14
- Co-authors
- Hubert P. H. Shum (1 shared paper)Edmond S. L. Ho (1 shared paper)Shu Takagi (1 shared paper)Chengdong Wu (6 shared papers)Ryan S. Baker (7 shared papers)Luc Paquette (7 shared papers)Mingyu Li (1 shared paper)Wenjiang Feng (1 shared paper)
- Journals
- Computers & Education (3 papers)Sensors (3 papers)Applied Sciences (2 papers)Journal of Science Education and Technology (2 papers)Behavior Research Methods (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yang Jiang
60 papers receiving 802 citations
Peers
Comparison fields: 5 of 131
- Computer Science Applications 101
- Health Informatics 22
- Human-Computer Interaction 61
- Developmental and Educational Psychology 112
- Computer Vision and Pattern Recognition 161
Countries citing papers authored by Yang Jiang
This map shows the geographic impact of Yang Jiang'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 Yang Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang Jiang more than expected).
Fields of papers citing papers by Yang Jiang
This network shows the impact of papers produced by Yang Jiang. 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 Yang Jiang. The network helps show where Yang Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yang Jiang, 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 113 | |
| 2 | 2018 | 56 | |
| 3 | 2012 | 54 | |
| 4 | 2019 | 42 | |
| 5 | 2020 | 41 | |
| 6 | 2019 | 35 | |
| 7 | 2024 | 35 | |
| 8 | 2020 | 27 | |
| 9 | 2018 | 25 | |
| 10 | 2019 | 24 | |
| 11 | 2021 | 23 | |
| 12 | 2021 | 22 | |
| 13 | 2021 | 22 | |
| 14 | 2024 | 21 | |
| 15 | 2020 | 20 | |
| 16 | 2020 | 18 | |
| 17 | 2022 | 18 | |
| 18 | 2019 | 14 | |
| 19 | 2020 | 14 | |
| 20 | 2021 | 13 |
About Yang Jiang
Yang Jiang is a scholar working on Artificial Intelligence, Developmental and Educational Psychology, Education, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 67 papers that have together received 842 indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (14 papers), Intelligent Tutoring Systems and Adaptive Learning (10 papers), Student Assessment and Feedback (4 papers), Online Learning and Analytics (4 papers), Visual and Cognitive Learning Processes (4 papers), Online and Blended Learning (3 papers), Writing and Handwriting Education (3 papers) and Anomaly Detection Techniques and Applications (3 papers). The work is most often cited by research in Computer Science Applications (101 citations), Health Informatics (22 citations), Human-Computer Interaction (61 citations), Developmental and Educational Psychology (112 citations) and Computer Vision and Pattern Recognition (161 citations). Yang Jiang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Hubert P. H. Shum, Edmond S. L. Ho, Shu Takagi, Chengdong Wu, Ryan S. Baker, Luc Paquette, Mingyu Li, Wenjiang Feng, Xiaosheng Yu and Jaclyn Ocumpaugh. Their work appears in journals such as Computers & Education, Sensors, Applied Sciences, Journal of Science Education and Technology and Behavior Research Methods.
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.