Danling Li
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Online Learning and Analytics
Papers in
- Education 10
- Evaluation of Teaching Practices 3
- Higher Education Practises and Engagement 2
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- Higher Education Governance and Development 8
- Global Educational Policies and Reforms 3
- Co-authors
- Kai Guo (9 shared papers)Yuchun Zhong (2 shared papers)Samuel Kai Wah Chu (3 shared papers)Yongyan Li (4 shared papers)William Yat Wai Lo (2 shared papers)Junxiang Peng (6 shared papers)Hui Li (1 shared paper)Weipeng Yang (1 shared paper)
In The Last Decade
Danling Li
23 papers receiving 269 citations
Danling Li's Hit Papers
Peers
Comparison fields: 5 of 70
- Health Informatics 26
- Computer Science Applications 71
- Developmental and Educational Psychology 51
- Artificial Intelligence 78
- Education 67
Countries citing papers authored by Danling Li
This map shows the geographic impact of Danling 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 Danling Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danling Li more than expected).
Fields of papers citing papers by Danling Li
This network shows the impact of papers produced by Danling 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 Danling Li. The network helps show where Danling Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Danling 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
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Effects of chatbot-assisted in-class debates on students’ argumentation skills and task motivation Hit paper breakdown → | 2023 | 92 |
| 2 | 2024 | 37 | |
| 3 | 2023 | 29 | |
| 4 | 2021 | 15 | |
| 5 | 2016 | 13 | |
| 6 | 2023 | 11 | |
| 7 | 2019 | 10 | |
| 8 | 2023 | 10 | |
| 9 | 2023 | 8 | |
| 10 | 2017 | 7 | |
| 11 | 2021 | 7 | |
| 12 | 2024 | 6 | |
| 13 | 2016 | 6 | |
| 14 | 2016 | 5 | |
| 15 | 2024 | 5 | |
| 16 | 2022 | 4 | |
| 17 | 2025 | 3 | |
| 18 | 2021 | 3 | |
| 19 | 2024 | 2 | |
| 20 | 2025 | 1 |
About Danling Li
Danling Li is a scholar working on Education, Political Science and International Relations, Endocrinology, Diabetes and Metabolism, Developmental and Educational Psychology and Artificial Intelligence, having authored 27 papers that have together received 277 indexed citations. Recurring topics across this work include Higher Education Governance and Development (8 papers), Pituitary Gland Disorders and Treatments (6 papers), AI in Service Interactions (5 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), Evaluation of Teaching Practices (3 papers), Innovative Teaching and Learning Methods (3 papers), Global Educational Policies and Reforms (3 papers) and Higher Education Practises and Engagement (2 papers). The work is most often cited by research in Health Informatics (26 citations), Computer Science Applications (71 citations), Developmental and Educational Psychology (51 citations), Artificial Intelligence (78 citations) and Education (67 citations). Danling Li has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Kai Guo, Yuchun Zhong, Samuel Kai Wah Chu, Yongyan Li, William Yat Wai Lo, Junxiang Peng, Hui Li, Weipeng Yang, Jun Pan and Songtao Qi. Their work appears in journals such as Innovation in Language Learning and Teaching, Higher Education Quarterly, Computers & Education, Higher Education Policy and Interactive Learning Environments.
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.