Yu Wang
- Hardware and Architecture top 0.2%
- Parallel Computing and Optimization Techniques 69
-
- Advanced Memory and Neural Computing 98
- Ferroelectric and Negative Capacitance Devices 78
- Semiconductor materials and devices 58
- Low-power high-performance VLSI design 40
- Advancements in Semiconductor Devices and Circuit Design 38
-
- Advanced Neural Network Applications 41
- Computer Networks and Communications top 0.5%
- Interconnection Networks and Systems 37
- Computational Mathematics top 5%
- Cited by
- Hardware and ArchitectureElectrical and Electronic EngineeringComputer Vision and Pattern Recognition
- Journals
- IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (19 papers)Journal of Organometallic Chemistry (12 papers)IEEE Robotics and Automation Letters (11 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Yu Wang
610 papers receiving 11.6k citations
Hit Papers
Peers
Comparison fields: 5 of 181
- Hardware and Architecture 1.7k
- Electrical and Electronic Engineering 6.5k
- Computer Vision and Pattern Recognition 1.9k
- Computer Networks and Communications 1.9k
- Computational Mathematics 40
Countries citing papers authored by Yu Wang
This map shows the geographic impact of Yu 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 Yu Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Wang more than expected).
Fields of papers citing papers by Yu Wang
This network shows the impact of papers produced by Yu 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 Yu Wang. The network helps show where Yu Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yu Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 3 | |
| 11 | 2023 | 1 | |
| 12 | 2023 | 27 | |
| 13 | 2023 | 1 | |
| 14 | 2023 | 1 | |
| 15 | 2022 | 11 | |
| 16 | 2018 | 1 | |
| 17 | 2018 | 55 | |
| 18 | 2012 | 8 | |
| 19 | 2010 | 32 | |
| 20 | 2009 | 21 |
About Yu Wang
Yu Wang is a scholar working on Hardware and Architecture, Computational Mathematics and Computer Vision and Pattern Recognition, having authored 664 papers that have together received 11.9k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (98 papers), Ferroelectric and Negative Capacitance Devices (78 papers), Parallel Computing and Optimization Techniques (69 papers), Semiconductor materials and devices (58 papers), Advanced Neural Network Applications (41 papers), Low-power high-performance VLSI design (40 papers), Advancements in Semiconductor Devices and Circuit Design (38 papers) and Interconnection Networks and Systems (37 papers). The work is most often cited by research in Hardware and Architecture (1.7k citations), Electrical and Electronic Engineering (6.5k citations) and Computer Vision and Pattern Recognition (1.9k citations). Yu Wang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Huazhong Yang, Yuan Xie, Lixue Xia, Yongpan Liu, Jishen Zhao, Boxun Li, Shuangchen Li, Tao Zhang, Cong Xu and Ping Chi. Their work appears in journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Journal of Organometallic Chemistry, IEEE Robotics and Automation Letters, Organometallics and Inorganic Chemistry.
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.