Hui‐Chen Lin
Impact in
-
- Online Learning and Analytics
- Education top 5%
- Innovative Teaching Methods
- Online and Blended Learning
- Technology-Enhanced Education Studies
- Education and Critical Thinking Development
Papers in
-
- Myasthenia Gravis and Thymoma 2
- Neurological disorders and treatments 2
- Co-authors
- Gwo‐Jen Hwang (6 shared papers)Yaw‐Don Hsu (3 shared papers)Kuei‐Ru Chou (12 shared papers)Shao‐Chen Chang (2 shared papers)Ching‐Yi Chang (6 shared papers)Gwo‐Haur Hwang (1 shared paper)Patcharin Panjaburee (1 shared paper)Chiu‐Lin Lai (1 shared paper)
In The Last Decade
Hui‐Chen Lin
63 papers receiving 883 citations
Peers
Comparison fields: 5 of 124
- Computer Science Applications 70
- Education 241
- Hepatology 49
- Developmental and Educational Psychology 85
- Infectious Diseases 81
Countries citing papers authored by Hui‐Chen Lin
This map shows the geographic impact of Hui‐Chen Lin'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 Hui‐Chen Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui‐Chen Lin more than expected).
Fields of papers citing papers by Hui‐Chen Lin
This network shows the impact of papers produced by Hui‐Chen Lin. 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 Hui‐Chen Lin. The network helps show where Hui‐Chen Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Hui‐Chen Lin, 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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 125 | |
| 2 | 2021 | 69 | |
| 3 | 2022 | 58 | |
| 4 | 2019 | 56 | |
| 5 | 2011 | 42 | |
| 6 | 2014 | 38 | |
| 7 | 2022 | 33 | |
| 8 | 2022 | 32 | |
| 9 | 2013 | 30 | |
| 10 | 2014 | 29 | |
| 11 | 2020 | 29 | |
| 12 | 2018 | 26 | |
| 13 | 2023 | 22 | |
| 14 | 2023 | 19 | |
| 15 | 2015 | 16 | |
| 16 | 2016 | 16 | |
| 17 | Improving the Effectiveness of Organic Chemistry Experiments through Multimedia Teaching Materials for Junior High School Students | 2012 | 15 |
| 18 | 2017 | 14 | |
| 19 | 2020 | 12 | |
| 20 | 2011 | 12 |
About Hui‐Chen Lin
Hui‐Chen Lin is a scholar working on Neurology, Epidemiology, Education, Infectious Diseases and Pulmonary and Respiratory Medicine, having authored 68 papers that have together received 908 indexed citations. Recurring topics across this work include Simulation-Based Education in Healthcare (4 papers), Online and Blended Learning (4 papers), Innovative Teaching Methods (4 papers), Viral gastroenteritis research and epidemiology (2 papers), Myasthenia Gravis and Thymoma (2 papers), Nutrition and Health in Aging (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers) and Neurological disorders and treatments (2 papers). The work is most often cited by research in Computer Science Applications (70 citations), Education (241 citations), Hepatology (49 citations), Developmental and Educational Psychology (85 citations) and Infectious Diseases (81 citations). Hui‐Chen Lin has collaborated with scholars based in Taiwan, Indonesia and Malawi. Frequent co-authors include Gwo‐Jen Hwang, Yaw‐Don Hsu, Kuei‐Ru Chou, Shao‐Chen Chang, Ching‐Yi Chang, Gwo‐Haur Hwang, Patcharin Panjaburee, Chiu‐Lin Lai, Ruey Chen and Doresses Liu. Their work appears in journals such as Medicine, International Journal of Environmental Research and Public Health, International Journal of Nursing Studies, Educational Technology Research and Development 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.