Yung-Ning Tu
- Electrical and Electronic Engineering top 10%
- Hardware and Architecture top 5%
- Artificial Intelligence
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications
- Co-authors
- Meng‐Fan ChangXin SiChih-Cheng HsiehWei-Chen WeiYen-Cheng ChiuKea‐Tiong TangRen-Shuo LiuJiajing Chen
- Topics
- Advanced Memory and Neural Computing (9 papers)Ferroelectric and Negative Capacitance Devices (7 papers)Advanced Neural Network Applications (3 papers)
- Journals
- IEEE Journal of Solid-State CircuitsIET Generation Transmission & DistributionIET Power Electronics
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Yung-Ning Tu
10 papers receiving 516 citations
Peers
Comparison fields: 5 of 30
- Electrical and Electronic Engineering 495
- Hardware and Architecture 88
- Artificial Intelligence 81
- Computer Vision and Pattern Recognition 72
- Computer Networks and Communications 32
Countries citing papers authored by Yung-Ning Tu
This map shows the geographic impact of Yung-Ning Tu'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 Yung-Ning Tu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yung-Ning Tu more than expected).
Fields of papers citing papers by Yung-Ning Tu
This network shows the impact of papers produced by Yung-Ning Tu. 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 Yung-Ning Tu. The network helps show where Yung-Ning Tu may publish in the future.
Co-authorship network of co-authors of Yung-Ning Tu
This figure shows the co-authorship network connecting the top 25 collaborators of Yung-Ning Tu. A scholar is included among the top collaborators of Yung-Ning Tu 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 Yung-Ning Tu. Yung-Ning Tu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 8 | |
| 3 | 65 | |
| 4 | 159 | |
| 5 | 203 | |
| 6 | 12 | |
| 7 | 33 | |
| 8 | 10 | |
| 9 | 16 | |
| 10 | 8 | |
| 11 | 11 |
About Yung-Ning Tu
Yung-Ning Tu is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture and Computer Vision and Pattern Recognition, having authored 11 papers that have together received 525 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (9 papers), Ferroelectric and Negative Capacitance Devices (7 papers) and Advanced Neural Network Applications (3 papers). The work is most often cited by research in Hardware and Architecture (88 citations), Electrical and Electronic Engineering (495 citations) and Computational Mathematics (3 citations). Yung-Ning Tu has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Meng‐Fan Chang, Xin Si, Chih-Cheng Hsieh, Wei-Chen Wei, Yen-Cheng Chiu, Kea‐Tiong Tang, Ren-Shuo Liu, Jiajing Chen, Wei-Hsing Huang and Qiang Li. Their work appears in journals such as IEEE Journal of Solid-State Circuits, IET Generation Transmission & Distribution and IET Power Electronics.
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.