Muh-Cherng Wu
- Sociology and Political Science top 10%
- Management Science and Operations Research top 5%
- Education top 10%
- Developmental and Educational Psychology top 10%
- Artificial Intelligence
- Topics
- Manufacturing Process and Optimization (4 papers)Educational Games and Gamification (3 papers)Digital Games and Media (2 papers)
- Cited by
- Management Science and Operations ResearchInformation Systems and ManagementSociology and Political Science
- Journals
- Expert Systems with ApplicationsComputers & EducationThe International Journal of Advanced Manufacturing Technology
- Partner nations
- Taiwan
In The Last Decade
Muh-Cherng Wu
14 papers receiving 452 citations
Peers
Comparison fields: 5 of 71
- Sociology and Political Science 235
- Management Science and Operations Research 107
- Education 90
- Developmental and Educational Psychology 64
- Artificial Intelligence 56
Countries citing papers authored by Muh-Cherng Wu
This map shows the geographic impact of Muh-Cherng Wu'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 Muh-Cherng Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muh-Cherng Wu more than expected).
Fields of papers citing papers by Muh-Cherng Wu
This network shows the impact of papers produced by Muh-Cherng Wu. 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 Muh-Cherng Wu. The network helps show where Muh-Cherng Wu may publish in the future.
Co-authorship network of co-authors of Muh-Cherng Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Muh-Cherng Wu. A scholar is included among the top collaborators of Muh-Cherng Wu 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 Muh-Cherng Wu. Muh-Cherng Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 221 | |
| 2 | 6 | |
| 3 | 12 | |
| 4 | 11 | |
| 5 | 54 | |
| 6 | 46 | |
| 7 | 1 | |
| 8 | 6 | |
| 9 | 92 | |
| 10 | 19 | |
| 11 | 1 | |
| 12 | 4 | |
| 13 | Genetic algorithm for the optimal design of microwave filters | 13 |
| 14 | 0 | |
| 15 | A new methodology for automatic process planning and execution based on adaptive information modeling | 7 |
About Muh-Cherng Wu
Muh-Cherng Wu is a scholar working on Industrial and Manufacturing Engineering, Developmental and Educational Psychology and Geology, having authored 15 papers that have together received 493 indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (4 papers), Educational Games and Gamification (3 papers) and Digital Games and Media (2 papers). The work is most often cited by research in Management Science and Operations Research (107 citations), Information Systems and Management (51 citations) and Sociology and Political Science (235 citations). Muh-Cherng Wu has collaborated with scholars based in Taiwan. Frequent co-authors include Shang Hwa Hsu, Ming-Hui Wen, Shang-Hwa Hsu, Hsi-Mei Hsu and Jung‐Hong Chuang. Their work appears in journals such as Expert Systems with Applications, Computers & Education and The International Journal of Advanced Manufacturing Technology.
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.