Chun-Yao Wang
- Electrical and Electronic Engineering top 10%
- Computational Theory and Mathematics top 5%
- Hardware and Architecture top 5%
- Artificial Intelligence top 10%
- Automotive Engineering
- Co-authors
- Yung‐Chih ChenChia-Chun LinChun‐Chieh WangJingling YangKuei‐Hsien ChenVijaykrishnan NarayananSuman DattaChung‐Yuan Mou
- Topics
- VLSI and Analog Circuit Testing (27 papers)Semiconductor materials and devices (23 papers)Low-power high-performance VLSI design (21 papers)
- Cited by
- Hardware and ArchitectureComputational Theory and MathematicsElectrical and Electronic Engineering
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Chun-Yao Wang
95 papers receiving 608 citations
Peers
Comparison fields: 5 of 54
- Electrical and Electronic Engineering 462
- Computational Theory and Mathematics 169
- Hardware and Architecture 131
- Artificial Intelligence 129
- Automotive Engineering 49
Countries citing papers authored by Chun-Yao Wang
This map shows the geographic impact of Chun-Yao Wang'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 Chun-Yao Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun-Yao Wang more than expected).
Fields of papers citing papers by Chun-Yao Wang
This network shows the impact of papers produced by Chun-Yao Wang. 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 Chun-Yao Wang. The network helps show where Chun-Yao Wang may publish in the future.
Co-authorship network of co-authors of Chun-Yao Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Chun-Yao Wang. A scholar is included among the top collaborators of Chun-Yao Wang 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 Chun-Yao Wang. Chun-Yao Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 10 | |
| 7 | 5 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 6 | |
| 11 | 10 | |
| 12 | 23 | |
| 13 | 8 | |
| 14 | 1 | |
| 15 | 0 | |
| 16 | 5 | |
| 17 | 3 | |
| 18 | 11 | |
| 19 | 7 | |
| 20 | 1 |
About Chun-Yao Wang
Chun-Yao Wang is a scholar working on Hardware and Architecture, Computational Theory and Mathematics and Electrical and Electronic Engineering, having authored 104 papers that have together received 629 indexed citations. Recurring topics across this work include VLSI and Analog Circuit Testing (27 papers), Semiconductor materials and devices (23 papers) and Low-power high-performance VLSI design (21 papers). The work is most often cited by research in Hardware and Architecture (131 citations), Computational Theory and Mathematics (169 citations) and Electrical and Electronic Engineering (462 citations). Chun-Yao Wang has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Yung‐Chih Chen, Chia-Chun Lin, Chun‐Chieh Wang, Jingling Yang, Kuei‐Hsien Chen, Vijaykrishnan Narayanan, Suman Datta, Chung‐Yuan Mou, Heng‐Liang Wu and Xuemin Shen. Their work appears in journals such as Journal of Materials Chemistry A, Electrochimica Acta and IEEE Electron Device Letters.
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.