Lele Sha
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
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- Online Learning and Analytics
Papers in
-
- Topic Modeling 5
- Imbalanced Data Classification Techniques 2
- Machine Learning and Data Classification 2
- Text Readability and Simplification 2
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- Online Learning and Analytics 7
- Co-authors
- Dragan Gašević (14 shared papers)Guanliang Chen (11 shared papers)Yuheng Li (7 shared papers)Lixiang Yan (3 shared papers)Linxuan Zhao (2 shared papers)Xinyu Li (2 shared papers)Roberto Martínez‐Maldonado (2 shared papers)Yueqiao Jin (2 shared papers)
- Journals
- IEEE Transactions on Learning Technologies (3 papers)British Journal of Educational Technology (2 papers)Behaviour and Information Technology (1 paper)Computers and Education Artificial Intelligence (1 paper)Expert Systems with Applications (1 paper)
- Partner nations
- AustraliaSaudi ArabiaUnited Kingdom
In The Last Decade
Lele Sha
13 papers receiving 433 citations
Lele Sha's Hit Papers
Peers
Comparison fields: 5 of 67
- Health Informatics 127
- Computer Science Applications 159
- Artificial Intelligence 246
- Safety Research 60
- Developmental and Educational Psychology 50
Countries citing papers authored by Lele Sha
This map shows the geographic impact of Lele Sha'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 Lele Sha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lele Sha more than expected).
Fields of papers citing papers by Lele Sha
This network shows the impact of papers produced by Lele Sha. 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 Lele Sha. The network helps show where Lele Sha may publish in the future.
Co-authors
The 25 scholars most cited alongside Lele Sha, 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 | Practical and ethical challenges of large language models in education: A systematic scoping review Hit paper breakdown → | 2023 | 288 |
| 2 | 2023 | 53 | |
| 3 | 2022 | 36 | |
| 4 | 2023 | 16 | |
| 5 | 2021 | 13 | |
| 6 | 2022 | 9 | |
| 7 | 2023 | 9 | |
| 8 | 2024 | 8 | |
| 9 | 2024 | 7 | |
| 10 | Which Hammer should I Use? A Systematic Evaluation of Approaches for Classifying Educational Forum Posts | 2021 | 7 |
| 11 | 2024 | 3 | |
| 12 | 2022 | 2 | |
| 13 | 2025 | 1 | |
| 14 | 2026 | 0 | |
| 15 | 2025 | 0 |
About Lele Sha
Lele Sha is a scholar working on Artificial Intelligence, Computer Science Applications, Developmental and Educational Psychology, Health Informatics and Safety Research, having authored 15 papers that have together received 452 indexed citations. Recurring topics across this work include Online Learning and Analytics (7 papers), Topic Modeling (5 papers), Innovative Teaching and Learning Methods (3 papers), Artificial Intelligence in Healthcare and Education (2 papers), Imbalanced Data Classification Techniques (2 papers), Machine Learning and Data Classification (2 papers), Text Readability and Simplification (2 papers) and Business Process Modeling and Analysis (1 paper). The work is most often cited by research in Health Informatics (127 citations), Computer Science Applications (159 citations), Artificial Intelligence (246 citations), Safety Research (60 citations) and Developmental and Educational Psychology (50 citations). Lele Sha has collaborated with scholars based in Australia, Saudi Arabia and United Kingdom. Frequent co-authors include Dragan Gašević, Guanliang Chen, Yuheng Li, Lixiang Yan, Linxuan Zhao, Xinyu Li, Roberto Martínez‐Maldonado, Yueqiao Jin, Mladen Raković and Jionghao Lin. Their work appears in journals such as IEEE Transactions on Learning Technologies, British Journal of Educational Technology, Behaviour and Information Technology, Computers and Education Artificial Intelligence and Expert Systems with Applications.
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.