Ming‐Yuan Cheng
- Biomedical Engineering top 5%
- Electrical and Electronic Engineering top 5%
- Cognitive Neuroscience top 5%
- Atomic and Molecular Physics, and Optics top 10%
- Molecular Biology
- Co-authors
- Yao‐Joe YangKuang–Chao FanAlmantas GalvanauskasWen‐Pin ShihHung‐Yu WeiGuan-Yu LinYu-Tse LaiAlex Hsu
- Topics
- Advanced Sensor and Energy Harvesting Materials (19 papers)Neuroscience and Neural Engineering (11 papers)Analytical Chemistry and Sensors (9 papers)
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaBioresource Technology
- Partner nations
- TaiwanSingaporeUnited States
In The Last Decade
Ming‐Yuan Cheng
69 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 109
- Biomedical Engineering 762
- Electrical and Electronic Engineering 744
- Cognitive Neuroscience 311
- Atomic and Molecular Physics, and Optics 273
- Molecular Biology 189
Countries citing papers authored by Ming‐Yuan Cheng
This map shows the geographic impact of Ming‐Yuan Cheng'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 Ming‐Yuan Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming‐Yuan Cheng more than expected).
Fields of papers citing papers by Ming‐Yuan Cheng
This network shows the impact of papers produced by Ming‐Yuan Cheng. 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 Ming‐Yuan Cheng. The network helps show where Ming‐Yuan Cheng may publish in the future.
Co-authorship network of co-authors of Ming‐Yuan Cheng
This figure shows the co-authorship network connecting the top 25 collaborators of Ming‐Yuan Cheng. A scholar is included among the top collaborators of Ming‐Yuan Cheng 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 Ming‐Yuan Cheng. Ming‐Yuan Cheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 6 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 5 | |
| 8 | 2 | |
| 9 | 11 | |
| 10 | 11 | |
| 11 | 10 | |
| 12 | 5 | |
| 13 | 0 | |
| 14 | 0 | |
| 15 | 57 | |
| 16 | 41 | |
| 17 | 7 | |
| 18 | 9 | |
| 19 | 7 | |
| 20 | 10 |
About Ming‐Yuan Cheng
Ming‐Yuan Cheng is a scholar working on Bioengineering, Cognitive Neuroscience and Biomedical Engineering, having authored 76 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (19 papers), Neuroscience and Neural Engineering (11 papers) and Analytical Chemistry and Sensors (9 papers). The work is most often cited by research in Bioengineering (144 citations), Biomedical Engineering (762 citations) and Cognitive Neuroscience (311 citations). Ming‐Yuan Cheng has collaborated with scholars based in Taiwan, Singapore and United States. Frequent co-authors include Yao‐Joe Yang, Kuang–Chao Fan, Almantas Galvanauskas, Wen‐Pin Shih, Hung‐Yu Wei, Guan-Yu Lin, Yu-Tse Lai, Alex Hsu, Fu-Yu Chang and Chienliu Chang. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Bioresource 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.