Mingjun Wang
Impact in
- Hardware and Architecture top 2%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
- VLSI and Analog Circuit Testing
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- Interconnection Networks and Systems
- Advanced Data Storage Technologies
- Distributed and Parallel Computing Systems
Papers in
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- VLSI and Analog Circuit Testing 3
- Parallel Computing and Optimization Techniques 2
- Embedded Systems Design Techniques 1
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- Radiation Effects in Electronics 2
- Advancements in PLL and VCO Technologies 1
- Low-power high-performance VLSI design 1
- VLSI and FPGA Design Techniques 1
- Integrated Circuits and Semiconductor Failure Analysis 1
- Co-authors
- Daniel Stasiak (2 shared papers)S. Weitzel (3 shared papers)James N. Warnock (2 shared papers)D. Wendel (2 shared papers)H. Peter Hofstee (1 shared paper)J. Keaty (2 shared papers)Taro Yamazaki (1 shared paper)Yoshio Masubuchi (1 shared paper)
- Journals
- IEEE Micro (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Mingjun Wang
3 papers receiving 387 citations
Mingjun Wang's Hit Papers
Peers
Comparison fields: 5 of 37
- Hardware and Architecture 294
- Computer Networks and Communications 233
- Electrical and Electronic Engineering 154
- Computer Graphics and Computer-Aided Design 8
- Computer Vision and Pattern Recognition 39
Countries citing papers authored by Mingjun Wang
This map shows the geographic impact of Mingjun 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 Mingjun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingjun Wang more than expected).
Fields of papers citing papers by Mingjun Wang
This network shows the impact of papers produced by Mingjun 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 Mingjun Wang. The network helps show where Mingjun Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingjun 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 | The design and implementation of a first-generation CELL processor Hit paper breakdown → | 2005 | 404 |
| 2 | 2005 | 11 | |
| 3 | 2007 | 3 | |
| 4 | 2024 | 0 | |
| 5 | 2025 | 0 |
About Mingjun Wang
Mingjun Wang is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering, Software, Computer Networks and Communications and Insect Science, having authored 5 papers that have together received 418 indexed citations. Recurring topics across this work include VLSI and Analog Circuit Testing (3 papers), Radiation Effects in Electronics (2 papers), Parallel Computing and Optimization Techniques (2 papers), Advancements in PLL and VCO Technologies (1 paper), Low-power high-performance VLSI design (1 paper), Embedded Systems Design Techniques (1 paper), VLSI and FPGA Design Techniques (1 paper) and Integrated Circuits and Semiconductor Failure Analysis (1 paper). The work is most often cited by research in Hardware and Architecture (294 citations), Computer Networks and Communications (233 citations), Electrical and Electronic Engineering (154 citations), Computer Graphics and Computer-Aided Design (8 citations) and Computer Vision and Pattern Recognition (39 citations). Mingjun Wang has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Daniel Stasiak, S. Weitzel, James N. Warnock, D. Wendel, H. Peter Hofstee, J. Keaty, Taro Yamazaki, Yoshio Masubuchi, Michael Day and Atsushi Kameyama. Their work appears in journals such as IEEE Micro.
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.