Nachuan Wang
Impact in
- Hardware and Architecture top 2%
- VLSI and Analog Circuit Testing
- Parallel Computing and Optimization Techniques
- Real-Time Systems Scheduling
- Software top 5%
- Software Reliability and Analysis Research
Papers in
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- VLSI and Analog Circuit Testing 3
-
- Natural Language Processing Techniques 1
- Neural Networks and Applications 1
- Co-authors
- S.J. Patel (3 shared papers)Zbigniew Kalbarczyk (1 shared paper)Ravishankar K. Iyer (1 shared paper)G.P. Saggese (1 shared paper)Amir Yazdanbakhsh (2 shared papers)Nam Sung Kim (3 shared papers)Minjia Zhang (1 shared paper)
- Journals
- IEEE Computer Architecture Letters (1 paper)IEEE Micro (1 paper)IEEE Transactions on Dependable and Secure Computing (1 paper)
- Partner nations
- United States
In The Last Decade
Nachuan Wang
6 papers receiving 559 citations
Peers
Comparison fields: 5 of 25
- Hardware and Architecture 436
- Software 79
- Electrical and Electronic Engineering 555
- Computer Networks and Communications 193
- Safety, Risk, Reliability and Quality 56
Countries citing papers authored by Nachuan Wang
This map shows the geographic impact of Nachuan 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 Nachuan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nachuan Wang more than expected).
Fields of papers citing papers by Nachuan Wang
This network shows the impact of papers produced by Nachuan 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 Nachuan Wang. The network helps show where Nachuan Wang may publish in the future.
Co-authors
The 7 scholars most cited alongside Nachuan 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 | 2004 | 309 | |
| 2 | 2006 | 153 | |
| 3 | 2005 | 118 | |
| 4 | 2024 | 7 | |
| 5 | 2025 | 1 | |
| 6 | 2025 | 1 |
About Nachuan Wang
Nachuan Wang is a scholar working on Hardware and Architecture, Artificial Intelligence, Electrical and Electronic Engineering, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 6 papers that have together received 589 indexed citations. Recurring topics across this work include VLSI and Analog Circuit Testing (3 papers), Radiation Effects in Electronics (3 papers), Advanced Data Storage Technologies (1 paper), Scientific Computing and Data Management (1 paper), Low-power high-performance VLSI design (1 paper), Natural Language Processing Techniques (1 paper), Distributed systems and fault tolerance (1 paper) and Neural Networks and Applications (1 paper). The work is most often cited by research in Hardware and Architecture (436 citations), Software (79 citations), Electrical and Electronic Engineering (555 citations), Computer Networks and Communications (193 citations) and Safety, Risk, Reliability and Quality (56 citations). Nachuan Wang has collaborated with scholars based in United States. Frequent co-authors include S.J. Patel, Zbigniew Kalbarczyk, Ravishankar K. Iyer, G.P. Saggese, Amir Yazdanbakhsh, Nam Sung Kim and Minjia Zhang. Their work appears in journals such as IEEE Computer Architecture Letters, IEEE Micro and IEEE Transactions on Dependable and Secure Computing.
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.