Penghe Chen
Impact in
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- Online Learning and Analytics
- Artificial Intelligence top 5%
- Intelligent Tutoring Systems and Adaptive Learning
- Topic Modeling
- Advanced Graph Neural Networks
- Semantic Web and Ontologies
Papers in
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- Intelligent Tutoring Systems and Adaptive Learning 7
- Topic Modeling 7
- Advanced Graph Neural Networks 5
- Natural Language Processing Techniques 2
- Domain Adaptation and Few-Shot Learning 2
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- Online Learning and Analytics 7
- Co-authors
- Yu Lu (15 shared papers)Vincent W. Zheng (5 shared papers)Xiyang Chen (2 shared papers)Boda Yang (1 shared paper)Shengquan Yu (4 shared papers)Qinggang Meng (2 shared papers)Deliang Wang (2 shared papers)Xiaoqing Li (1 shared paper)
- Journals
- IEEE Transactions on Learning Technologies (3 papers)IEEE Access (3 papers)Multimedia Tools and Applications (1 paper)International Journal of Artificial Intelligence in Education (1 paper)Neural Computation (1 paper)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Penghe Chen
22 papers receiving 413 citations
Peers
Comparison fields: 5 of 60
- Computer Science Applications 171
- Artificial Intelligence 292
- Health Informatics 7
- Developmental and Educational Psychology 61
- Information Systems 77
Countries citing papers authored by Penghe Chen
This map shows the geographic impact of Penghe Chen'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 Penghe Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Penghe Chen more than expected).
Fields of papers citing papers by Penghe Chen
This network shows the impact of papers produced by Penghe Chen. 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 Penghe Chen. The network helps show where Penghe Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Penghe Chen, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 153 | |
| 2 | 2018 | 94 | |
| 3 | 2022 | 28 | |
| 4 | 2018 | 23 | |
| 5 | 2022 | 18 | |
| 6 | 2023 | 17 | |
| 7 | 2021 | 16 | |
| 8 | 2021 | 12 | |
| 9 | 2019 | 11 | |
| 10 | 2024 | 9 | |
| 11 | 2021 | 8 | |
| 12 | 2019 | 7 | |
| 13 | 2019 | 6 | |
| 14 | 2023 | 5 | |
| 15 | 2020 | 3 | |
| 16 | 2012 | 3 | |
| 17 | 2020 | 3 | |
| 18 | A SQL-based Context Query Language for Context-aware Systems | 2014 | 3 |
| 19 | 2017 | 3 | |
| 20 | 2013 | 2 |
About Penghe Chen
Penghe Chen is a scholar working on Artificial Intelligence, Computer Science Applications, Developmental and Educational Psychology, Computer Networks and Communications and Information Systems, having authored 23 papers that have together received 427 indexed citations. Recurring topics across this work include Intelligent Tutoring Systems and Adaptive Learning (7 papers), Topic Modeling (7 papers), Online Learning and Analytics (7 papers), Advanced Graph Neural Networks (5 papers), Innovative Teaching and Learning Methods (4 papers), Context-Aware Activity Recognition Systems (3 papers), Natural Language Processing Techniques (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). The work is most often cited by research in Computer Science Applications (171 citations), Artificial Intelligence (292 citations), Health Informatics (7 citations), Developmental and Educational Psychology (61 citations) and Information Systems (77 citations). Penghe Chen has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Yu Lu, Vincent W. Zheng, Xiyang Chen, Boda Yang, Shengquan Yu, Qinggang Meng, Deliang Wang, Xiaoqing Li, Lanqin Zheng and Chen Chen. Their work appears in journals such as IEEE Transactions on Learning Technologies, IEEE Access, Multimedia Tools and Applications, International Journal of Artificial Intelligence in Education and Neural Computation.
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.