Weichen Yang
Impact in
- Polymers and Plastics top 5%
- Conducting polymers and applications
Papers in
-
- Organic Electronics and Photovoltaics 13
- Advanced Memory and Neural Computing 13
- Energy Load and Power Forecasting 7
- Smart Grid and Power Systems 5
-
- Conducting polymers and applications 14
- Co-authors
- Wen‐Chang Chen (25 shared papers)Yan‐Cheng Lin (22 shared papers)Ender Ercan (12 shared papers)Shihong Miao (17 shared papers)Yaowang Li (12 shared papers)Ji Han (13 shared papers)Chu‐Chen Chueh (7 shared papers)Li‐Che Hsu (8 shared papers)
In The Last Decade
Weichen Yang
70 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 72
- Polymers and Plastics 273
- Energy Engineering and Power Technology 42
- Electrical and Electronic Engineering 772
- Cellular and Molecular Neuroscience 135
- Bioengineering 38
Countries citing papers authored by Weichen Yang
This map shows the geographic impact of Weichen Yang'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 Weichen Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weichen Yang more than expected).
Fields of papers citing papers by Weichen Yang
This network shows the impact of papers produced by Weichen Yang. 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 Weichen Yang. The network helps show where Weichen Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Weichen Yang, 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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 75 | |
| 2 | 2022 | 65 | |
| 3 | 2018 | 61 | |
| 4 | 2021 | 53 | |
| 5 | 2021 | 52 | |
| 6 | 2021 | 36 | |
| 7 | 2020 | 36 | |
| 8 | 2022 | 34 | |
| 9 | 2021 | 34 | |
| 10 | 2020 | 27 | |
| 11 | 2022 | 26 | |
| 12 | 2021 | 26 | |
| 13 | 2022 | 23 | |
| 14 | 2022 | 22 | |
| 15 | 2020 | 20 | |
| 16 | 2021 | 19 | |
| 17 | 2021 | 19 | |
| 18 | 2022 | 19 | |
| 19 | 2011 | 18 | |
| 20 | 2020 | 18 |
About Weichen Yang
Weichen Yang is a scholar working on Electrical and Electronic Engineering, Polymers and Plastics, Energy Engineering and Power Technology, Control and Systems Engineering and Condensed Matter Physics, having authored 71 papers that have together received 1.0k indexed citations. Recurring topics across this work include Conducting polymers and applications (14 papers), Organic Electronics and Photovoltaics (13 papers), Advanced Memory and Neural Computing (13 papers), Microgrid Control and Optimization (10 papers), Power Systems and Renewable Energy (8 papers), Energy Load and Power Forecasting (7 papers), GaN-based semiconductor devices and materials (7 papers) and Smart Grid and Power Systems (5 papers). The work is most often cited by research in Polymers and Plastics (273 citations), Energy Engineering and Power Technology (42 citations), Electrical and Electronic Engineering (772 citations), Cellular and Molecular Neuroscience (135 citations) and Bioengineering (38 citations). Weichen Yang has collaborated with scholars based in Taiwan, China and Japan. Frequent co-authors include Wen‐Chang Chen, Yan‐Cheng Lin, Ender Ercan, Shihong Miao, Yaowang Li, Ji Han, Chu‐Chen Chueh, Li‐Che Hsu, Dennis K. Hore and Chun‐Kai Chen. Their work appears in journals such as International Journal of Electrical Power & Energy Systems, ACS Applied Materials & Interfaces, Advanced Electronic Materials, Synthetic Metals and Electric Power Systems Research.
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.