Ming‐Chung Wu
Impact in
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- Advanced Photocatalysis Techniques
- TiO2 Photocatalysis and Solar Cells
- Polymers and Plastics top 1%
- Conducting polymers and applications
Papers in
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- Perovskite Materials and Applications 45
- Chalcogenide Semiconductor Thin Films 25
- Gas Sensing Nanomaterials and Sensors 18
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- Quantum Dots Synthesis And Properties 33
- Co-authors
- Wei‐Fang Su (71 shared papers)Shun‐Hsiang Chan (34 shared papers)Ting‐Han Lin (43 shared papers)Kun‐Mu Lee (28 shared papers)Kai‐Chi Hsiao (25 shared papers)Yin‐Hsuan Chang (34 shared papers)Yang‐Fang Chen (20 shared papers)Meng‐Huan Jao (17 shared papers)
In The Last Decade
Ming‐Chung Wu
156 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 94
- Renewable Energy, Sustainability and the Environment 1.2k
- Polymers and Plastics 1.0k
- Materials Chemistry 2.0k
- Electrical and Electronic Engineering 2.0k
- Bioengineering 99
Countries citing papers authored by Ming‐Chung Wu
This map shows the geographic impact of Ming‐Chung 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 Ming‐Chung Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming‐Chung Wu more than expected).
Fields of papers citing papers by Ming‐Chung Wu
This network shows the impact of papers produced by Ming‐Chung 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 Ming‐Chung Wu. The network helps show where Ming‐Chung Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming‐Chung Wu, 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 159 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 182 | |
| 2 | 2011 | 136 | |
| 3 | 2011 | 101 | |
| 4 | 2016 | 99 | |
| 5 | 2008 | 99 | |
| 6 | 2017 | 93 | |
| 7 | 2017 | 92 | |
| 8 | 2008 | 87 | |
| 9 | 2018 | 81 | |
| 10 | 2015 | 79 | |
| 11 | 2017 | 74 | |
| 12 | 2024 | 66 | |
| 13 | 2014 | 66 | |
| 14 | 2014 | 65 | |
| 15 | 2012 | 61 | |
| 16 | 2012 | 60 | |
| 17 | 2019 | 57 | |
| 18 | 2019 | 56 | |
| 19 | 2017 | 55 | |
| 20 | 2011 | 55 |
About Ming‐Chung Wu
Ming‐Chung Wu is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Polymers and Plastics, Biomedical Engineering and Renewable Energy, Sustainability and the Environment, having authored 159 papers that have together received 3.7k indexed citations. Recurring topics across this work include Conducting polymers and applications (48 papers), Perovskite Materials and Applications (45 papers), Quantum Dots Synthesis And Properties (33 papers), Advanced Photocatalysis Techniques (31 papers), Chalcogenide Semiconductor Thin Films (25 papers), TiO2 Photocatalysis and Solar Cells (23 papers), Advanced Sensor and Energy Harvesting Materials (19 papers) and Gas Sensing Nanomaterials and Sensors (18 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (1.2k citations), Polymers and Plastics (1.0k citations), Materials Chemistry (2.0k citations), Electrical and Electronic Engineering (2.0k citations) and Bioengineering (99 citations). Ming‐Chung Wu has collaborated with scholars based in Taiwan, Finland and India. Frequent co-authors include Wei‐Fang Su, Shun‐Hsiang Chan, Ting‐Han Lin, Kun‐Mu Lee, Kai‐Chi Hsiao, Yin‐Hsuan Chang, Yang‐Fang Chen, Meng‐Huan Jao, Shih‐Hsuan Chen and Hsueh‐Chung Liao. Their work appears in journals such as Journal of the Taiwan Institute of Chemical Engineers, Applied Surface Science, Solar RRL, Chemical Engineering Journal and Japanese Journal of Applied Physics.
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.