Belle Li
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
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- Online Learning and Analytics
Papers in
-
- Intelligent Tutoring Systems and Adaptive Learning 5
- Topic Modeling 3
- Text Readability and Simplification 3
- AI in Service Interactions 2
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- Online Learning and Analytics 5
- Co-authors
- Xiaojing Kou (4 shared papers)Curtis J. Bonk (5 shared papers)Chaoran Wang (3 shared papers)Victoria L. Lowell (4 shared papers)Chaoran Wang (2 shared papers)Xiangning Li (1 shared paper)Su‐Je Cho (2 shared papers)Shiyan Jiang (1 shared paper)
- Journals
- Computers and Education Artificial Intelligence (3 papers)Languages (2 papers)International Journal of Computer-Assisted Language Learning and Teaching (2 papers)System (1 paper)Journal of Leadership & Organizational Studies (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Belle Li
15 papers receiving 215 citations
Peers
Comparison fields: 5 of 41
- Health Informatics 68
- Computer Science Applications 68
- Artificial Intelligence 107
- Developmental and Educational Psychology 30
- Safety Research 14
Countries citing papers authored by Belle Li
This map shows the geographic impact of Belle Li'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 Belle Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Belle Li more than expected).
Fields of papers citing papers by Belle Li
This network shows the impact of papers produced by Belle Li. 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 Belle Li. The network helps show where Belle Li may publish in the future.
Co-authors
The 14 scholars most cited alongside Belle Li, 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 | 41 | |
| 2 | 2024 | 39 | |
| 3 | 2023 | 36 | |
| 4 | 2023 | 27 | |
| 5 | 2023 | 25 | |
| 6 | 2023 | 15 | |
| 7 | 2024 | 11 | |
| 8 | 2025 | 8 | |
| 9 | 2025 | 6 | |
| 10 | 2025 | 5 | |
| 11 | 2025 | 2 | |
| 12 | 2025 | 2 | |
| 13 | 2024 | 1 | |
| 14 | 2025 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2025 | 0 | |
| 17 | 2026 | 0 |
About Belle Li
Belle Li is a scholar working on Artificial Intelligence, Computer Science Applications, Health Informatics, Developmental and Educational Psychology and Social Psychology, having authored 17 papers that have together received 220 indexed citations. Recurring topics across this work include Intelligent Tutoring Systems and Adaptive Learning (5 papers), Online Learning and Analytics (5 papers), Artificial Intelligence in Healthcare and Education (4 papers), Topic Modeling (3 papers), Text Readability and Simplification (3 papers), Innovative Teaching and Learning Methods (3 papers), Disability Education and Employment (2 papers) and AI in Service Interactions (2 papers). The work is most often cited by research in Health Informatics (68 citations), Computer Science Applications (68 citations), Artificial Intelligence (107 citations), Developmental and Educational Psychology (30 citations) and Safety Research (14 citations). Belle Li has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Xiaojing Kou, Curtis J. Bonk, Chaoran Wang, Victoria L. Lowell, Chaoran Wang, Xiangning Li, Su‐Je Cho, Shiyan Jiang, Kristin Herman and Neşe Alyüz. Their work appears in journals such as Computers and Education Artificial Intelligence, Languages, International Journal of Computer-Assisted Language Learning and Teaching, System and Journal of Leadership & Organizational Studies.
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.