Guanliang Chen
- Artificial Intelligence top 1%
- Computer Science Applications top 0.2%
- Education top 2%
- Information Systems top 1%
- Health Informatics top 0.2%
- Co-authors
- Dragan GaševićLi ChenClaudia HauffFeng WangRoberto Martínez‐MaldonadoDan DavisLixiang YanLele Sha
- Topics
- Online Learning and Analytics (42 papers)Intelligent Tutoring Systems and Adaptive Learning (21 papers)Topic Modeling (18 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsComputers & Education
- Partner nations
- AustraliaChinaNetherlands
In The Last Decade
Guanliang Chen
76 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Artificial Intelligence 989
- Computer Science Applications 841
- Education 502
- Information Systems 494
- Health Informatics 304
Countries citing papers authored by Guanliang Chen
This map shows the geographic impact of Guanliang 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 Guanliang Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guanliang Chen more than expected).
Fields of papers citing papers by Guanliang Chen
This network shows the impact of papers produced by Guanliang 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 Guanliang Chen. The network helps show where Guanliang Chen may publish in the future.
Co-authorship network of co-authors of Guanliang Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Guanliang Chen. A scholar is included among the top collaborators of Guanliang Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Guanliang Chen. Guanliang Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 17 | |
| 11 | 3 | |
| 12 | 2 | |
| 13 | 4 | |
| 14 | 1 | |
| 15 | 17 | |
| 16 | 16 | |
| 17 | 116 | |
| 18 | Practical and ethical challenges of large language models in education: A systematic scoping reviewbreakdown → | 288 |
| 19 | Students’ experience of online learning during the COVID‐19 pandemic: A province‐wide survey studybreakdown → | 165 |
| 20 | Gauging MOOC Learners' Adherence to the Designed Learning Path. | 51 |
About Guanliang Chen
Guanliang Chen is a scholar working on Computer Science Applications, Health Informatics and Artificial Intelligence, having authored 84 papers that have together received 2.2k indexed citations. Recurring topics across this work include Online Learning and Analytics (42 papers), Intelligent Tutoring Systems and Adaptive Learning (21 papers) and Topic Modeling (18 papers). The work is most often cited by research in Health Informatics (304 citations), Computer Science Applications (841 citations) and Artificial Intelligence (989 citations). Guanliang Chen has collaborated with scholars based in Australia, China and Netherlands. Frequent co-authors include Dragan Gašević, Li Chen, Claudia Hauff, Feng Wang, Roberto Martínez‐Maldonado, Dan Davis, Lixiang Yan, Lele Sha, Hassan Khosravi and Yi‐Shan Tsai. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Computers & Education.
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.