Bingjun Xiao
Impact in
- Hardware and Architecture top 1%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
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- Advanced Neural Network Applications
Papers in
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- Embedded Systems Design Techniques 10
- Parallel Computing and Optimization Techniques 10
- VLSI and Analog Circuit Testing 2
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- Interconnection Networks and Systems 10
- Co-authors
- Jason Cong (14 shared papers)Peng Li (4 shared papers)Yijin Guan (1 shared paper)Guangyu Sun (1 shared paper)Chen Zhang (1 shared paper)Jason Cong (2 shared papers)Yiyu Shi (2 shared papers)Lei He (1 shared paper)
- Journals
- IEEE Transactions on Very Large Scale Integration (VLSI) Systems (1 paper)IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Bingjun Xiao
18 papers receiving 1.8k citations
Bingjun Xiao's Hit Papers
Peers
Comparison fields: 5 of 80
- Hardware and Architecture 497
- Computer Vision and Pattern Recognition 1.0k
- Electrical and Electronic Engineering 1.2k
- Computational Mathematics 11
- Artificial Intelligence 505
Countries citing papers authored by Bingjun Xiao
This map shows the geographic impact of Bingjun Xiao'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 Bingjun Xiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bingjun Xiao more than expected).
Fields of papers citing papers by Bingjun Xiao
This network shows the impact of papers produced by Bingjun Xiao. 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 Bingjun Xiao. The network helps show where Bingjun Xiao may publish in the future.
Co-authors
The 25 scholars most cited alongside Bingjun Xiao, 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 | Optimizing FPGA-based Accelerator Design for Deep Convolutional Neural Networks Hit paper breakdown → | 2015 | 1481 |
| 2 | 2011 | 106 | |
| 3 | 2013 | 78 | |
| 4 | 2010 | 42 | |
| 5 | 2014 | 31 | |
| 6 | 2014 | 30 | |
| 7 | 2013 | 28 | |
| 8 | 2013 | 20 | |
| 9 | 2013 | 15 | |
| 10 | 2015 | 14 | |
| 11 | 2015 | 13 | |
| 12 | 2013 | 12 | |
| 13 | 2011 | 8 | |
| 14 | 2014 | 7 | |
| 15 | 2016 | 7 | |
| 16 | 2015 | 4 | |
| 17 | 2013 | 3 | |
| 18 | 2015 | 2 |
About Bingjun Xiao
Bingjun Xiao is a scholar working on Hardware and Architecture, Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence and Automotive Engineering, having authored 18 papers that have together received 1.9k indexed citations. Recurring topics across this work include Embedded Systems Design Techniques (10 papers), Parallel Computing and Optimization Techniques (10 papers), Interconnection Networks and Systems (10 papers), VLSI and FPGA Design Techniques (3 papers), Advanced Memory and Neural Computing (3 papers), Low-power high-performance VLSI design (2 papers), VLSI and Analog Circuit Testing (2 papers) and Integrated Circuits and Semiconductor Failure Analysis (1 paper). The work is most often cited by research in Hardware and Architecture (497 citations), Computer Vision and Pattern Recognition (1.0k citations), Electrical and Electronic Engineering (1.2k citations), Computational Mathematics (11 citations) and Artificial Intelligence (505 citations). Bingjun Xiao has collaborated with scholars based in United States and China. Frequent co-authors include Jason Cong, Peng Li, Yijin Guan, Guangyu Sun, Chen Zhang, Jason Cong, Yiyu Shi, Lei He, Muhuan Huang and Peng Zhang. Their work appears in journals such as IEEE Transactions on Very Large Scale Integration (VLSI) Systems and IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.
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.