Xiaokun Yang
Impact in
- Hardware and Architecture top 10%
- Embedded Systems Design Techniques
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- Face and Expression Recognition
Papers in
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- Embedded Systems Design Techniques 9
- Parallel Computing and Optimization Techniques 8
- VLSI and Analog Circuit Testing 6
- Co-authors
- Baoqi Huang (3 shared papers)Jean H. Andrian (5 shared papers)Long Zhao (1 shared paper)Han Zou (1 shared paper)Jiang Lu (7 shared papers)Wujie Wen (3 shared papers)Tao Liu (1 shared paper)Ming Yu Fan (2 shared papers)
- Journals
- ACM Transactions on Design Automation of Electronic Systems (1 paper)Photonics (1 paper)Journal of Nanoelectronics and Optoelectronics (1 paper)IEEE Transactions on Very Large Scale Integration (VLSI) Systems (1 paper)Optical Fiber Technology (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Xiaokun Yang
60 papers receiving 446 citations
Peers
Comparison fields: 5 of 63
- Hardware and Architecture 57
- Computer Vision and Pattern Recognition 174
- Signal Processing 61
- Computer Networks and Communications 98
- Electrical and Electronic Engineering 206
Countries citing papers authored by Xiaokun Yang
This map shows the geographic impact of Xiaokun Yang'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 Xiaokun Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaokun Yang more than expected).
Fields of papers citing papers by Xiaokun Yang
This network shows the impact of papers produced by Xiaokun Yang. 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 Xiaokun Yang. The network helps show where Xiaokun Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaokun Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 62 | |
| 2 | 2017 | 51 | |
| 3 | 2021 | 34 | |
| 4 | 2015 | 25 | |
| 5 | 2014 | 21 | |
| 6 | 2021 | 21 | |
| 7 | 2017 | 16 | |
| 8 | 2016 | 15 | |
| 9 | 2015 | 14 | |
| 10 | 2018 | 13 | |
| 11 | 2019 | 12 | |
| 12 | 2014 | 12 | |
| 13 | 2017 | 11 | |
| 14 | 2017 | 10 | |
| 15 | 2019 | 10 | |
| 16 | 2017 | 8 | |
| 17 | 2013 | 7 | |
| 18 | 2019 | 7 | |
| 19 | 2018 | 6 | |
| 20 | 2019 | 6 |
About Xiaokun Yang
Xiaokun Yang is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Computer Networks and Communications and Signal Processing, having authored 65 papers that have together received 467 indexed citations. Recurring topics across this work include Embedded Systems Design Techniques (9 papers), Parallel Computing and Optimization Techniques (8 papers), VLSI and Analog Circuit Testing (6 papers), IoT and Edge/Fog Computing (5 papers), IoT-based Smart Home Systems (5 papers), CCD and CMOS Imaging Sensors (5 papers), Optical Network Technologies (5 papers) and Interconnection Networks and Systems (5 papers). The work is most often cited by research in Hardware and Architecture (57 citations), Computer Vision and Pattern Recognition (174 citations), Signal Processing (61 citations), Computer Networks and Communications (98 citations) and Electrical and Electronic Engineering (206 citations). Xiaokun Yang has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Baoqi Huang, Jean H. Andrian, Long Zhao, Han Zou, Jiang Lu, Wujie Wen, Tao Liu, Ming Yu Fan, Hui Wang and Lei Wu. Their work appears in journals such as ACM Transactions on Design Automation of Electronic Systems, Photonics, Journal of Nanoelectronics and Optoelectronics, IEEE Transactions on Very Large Scale Integration (VLSI) Systems and Optical Fiber Technology.
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.