Yen-Yi Wu
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Hardware and Architecture top 10%
- Automotive Engineering
- Media Technology top 10%
- Co-authors
- Shang‐Hong LaiChe-Tsung LinSheng-Wei HuangYao‐Wen ChangChun-Ming TsaiChao‐Hung WangSy‐Yen KuoGenghua Fan
- Topics
- VLSI and FPGA Design Techniques (4 papers)Low-power high-performance VLSI design (3 papers)Generative Adversarial Networks and Image Synthesis (2 papers)
- Journals
- IEEE Transactions on Intelligent Transportation SystemsIEEE Transactions on Computer-Aided Design of Integrated Circuits and SystemsProceedings of the AAAI Conference on Artificial Intelligence
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Yen-Yi Wu
7 papers receiving 205 citations
Peers
Comparison fields: 5 of 40
- Computer Vision and Pattern Recognition 107
- Electrical and Electronic Engineering 74
- Hardware and Architecture 51
- Automotive Engineering 27
- Media Technology 27
Countries citing papers authored by Yen-Yi Wu
This map shows the geographic impact of Yen-Yi 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 Yen-Yi Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yen-Yi Wu more than expected).
Fields of papers citing papers by Yen-Yi Wu
This network shows the impact of papers produced by Yen-Yi 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 Yen-Yi Wu. The network helps show where Yen-Yi Wu may publish in the future.
Co-authorship network of co-authors of Yen-Yi Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Yen-Yi Wu. A scholar is included among the top collaborators of Yen-Yi 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 Yen-Yi Wu. Yen-Yi 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 | 14 | |
| 2 | 104 | |
| 3 | 13 | |
| 4 | 15 | |
| 5 | 39 | |
| 6 | 13 | |
| 7 | 11 |
About Yen-Yi Wu
Yen-Yi Wu is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 7 papers that have together received 209 indexed citations. Recurring topics across this work include VLSI and FPGA Design Techniques (4 papers), Low-power high-performance VLSI design (3 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). The work is most often cited by research in Hardware and Architecture (51 citations), Computer Vision and Pattern Recognition (107 citations) and Media Technology (27 citations). Yen-Yi Wu has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Shang‐Hong Lai, Che-Tsung Lin, Sheng-Wei Huang, Yao‐Wen Chang, Chun-Ming Tsai, Chao‐Hung Wang, Sy‐Yen Kuo, Genghua Fan, Wenxing Zhu and Jianli Chen. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems and Proceedings of the AAAI Conference on Artificial Intelligence.
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.