Meng‐Chuan Tsai
- Education top 10%
- Computer Science Applications top 5%
- Management Science and Operations Research top 10%
- Developmental and Educational Psychology
- Health, Toxicology and Mutagenesis
- Co-authors
- Chin‐Tsai LinChia‐Wen TsaiPei‐Di ShenChung‐Yen LuChih‐Hsin MuoChin-Ching WuFung‐Chang SungWenyu Chen
- Topics
- Online Learning and Analytics (4 papers)Innovative Teaching and Learning Methods (4 papers)Multi-Criteria Decision Making (3 papers)
- Cited by
- Computer Science ApplicationsManagement Science and Operations ResearchDevelopmental and Educational Psychology
In The Last Decade
Meng‐Chuan Tsai
18 papers receiving 323 citations
Peers
Comparison fields: 5 of 97
- Education 79
- Computer Science Applications 72
- Management Science and Operations Research 61
- Developmental and Educational Psychology 60
- Health, Toxicology and Mutagenesis 44
Countries citing papers authored by Meng‐Chuan Tsai
This map shows the geographic impact of Meng‐Chuan Tsai'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 Meng‐Chuan Tsai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meng‐Chuan Tsai more than expected).
Fields of papers citing papers by Meng‐Chuan Tsai
This network shows the impact of papers produced by Meng‐Chuan Tsai. 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 Meng‐Chuan Tsai. The network helps show where Meng‐Chuan Tsai may publish in the future.
Co-authorship network of co-authors of Meng‐Chuan Tsai
This figure shows the co-authorship network connecting the top 25 collaborators of Meng‐Chuan Tsai. A scholar is included among the top collaborators of Meng‐Chuan Tsai 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 Meng‐Chuan Tsai. Meng‐Chuan Tsai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 13 | |
| 3 | 7 | |
| 4 | 15 | |
| 5 | 1 | |
| 6 | 31 | |
| 7 | 68 | |
| 8 | 24 | |
| 9 | 18 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 9 | |
| 13 | 5 | |
| 14 | 60 | |
| 15 | 28 | |
| 16 | 2 | |
| 17 | 55 | |
| 18 | 1 |
About Meng‐Chuan Tsai
Meng‐Chuan Tsai is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Management Science and Operations Research, having authored 18 papers that have together received 345 indexed citations. Recurring topics across this work include Online Learning and Analytics (4 papers), Innovative Teaching and Learning Methods (4 papers) and Multi-Criteria Decision Making (3 papers). The work is most often cited by research in Computer Science Applications (72 citations), Management Science and Operations Research (61 citations) and Developmental and Educational Psychology (60 citations). Meng‐Chuan Tsai has collaborated with scholars based in Taiwan, Canada and Russia. Frequent co-authors include Chin‐Tsai Lin, Chia‐Wen Tsai, Pei‐Di Shen, Chung‐Yen Lu, Chih‐Hsin Muo, Chin-Ching Wu, Fung‐Chang Sung, Wenyu Chen, Li‐Yun Tsai and Chung‐Yu Lai. Their work appears in journals such as Expert Systems with Applications, Computers & Education and International Journal of Environmental Research and Public Health.
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.