Qi Wei
Impact in
- Hardware and Architecture top 10%
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- Advanced Neural Network Applications
Papers in
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- CCD and CMOS Imaging Sensors 22
- Advancements in Semiconductor Devices and Circuit Design 10
- Low-power high-performance VLSI design 7
- Advancements in PLL and VCO Technologies 5
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- Analog and Mixed-Signal Circuit Design 25
- Co-authors
- Huazhong Yang (20 shared papers)Xueqing Li (5 shared papers)Haoliang Sun (6 shared papers)Yilong Yin (6 shared papers)Hua Fan (10 shared papers)Xue Han (6 shared papers)Hui Wang (4 shared papers)Zhongyi Han (2 shared papers)
- Journals
- Journal of Semiconductors (10 papers)International Journal of Computer Vision (2 papers)Pattern Recognition (2 papers)Energy & Fuels (2 papers)Analog Integrated Circuits and Signal Processing (2 papers)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Qi Wei
45 papers receiving 346 citations
Peers
Comparison fields: 5 of 61
- Hardware and Architecture 29
- Computer Vision and Pattern Recognition 73
- Artificial Intelligence 109
- Electrical and Electronic Engineering 194
- Biomedical Engineering 137
Countries citing papers authored by Qi Wei
This map shows the geographic impact of Qi Wei'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 Qi Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qi Wei more than expected).
Fields of papers citing papers by Qi Wei
This network shows the impact of papers produced by Qi Wei. 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 Qi Wei. The network helps show where Qi Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Qi Wei, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 37 | |
| 2 | 2021 | 33 | |
| 3 | 2023 | 32 | |
| 4 | 2014 | 31 | |
| 5 | 2021 | 24 | |
| 6 | 2015 | 21 | |
| 7 | 2012 | 18 | |
| 8 | 2001 | 18 | |
| 9 | 2020 | 17 | |
| 10 | 2020 | 12 | |
| 11 | 2006 | 9 | |
| 12 | 2011 | 9 | |
| 13 | 2005 | 7 | |
| 14 | 2019 | 6 | |
| 15 | 2017 | 6 | |
| 16 | 2024 | 6 | |
| 17 | 2015 | 6 | |
| 18 | 2013 | 5 | |
| 19 | 2021 | 5 | |
| 20 | 2013 | 5 |
About Qi Wei
Qi Wei is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 50 papers that have together received 364 indexed citations. Recurring topics across this work include Analog and Mixed-Signal Circuit Design (25 papers), CCD and CMOS Imaging Sensors (22 papers), Advancements in Semiconductor Devices and Circuit Design (10 papers), Sensor Technology and Measurement Systems (9 papers), Low-power high-performance VLSI design (7 papers), Machine Learning and Data Classification (6 papers), Advancements in PLL and VCO Technologies (5 papers) and Machine Learning and Algorithms (3 papers). The work is most often cited by research in Hardware and Architecture (29 citations), Computer Vision and Pattern Recognition (73 citations), Artificial Intelligence (109 citations), Electrical and Electronic Engineering (194 citations) and Biomedical Engineering (137 citations). Qi Wei has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Huazhong Yang, Xueqing Li, Haoliang Sun, Yilong Yin, Hua Fan, Xue Han, Hui Wang, Zhongyi Han, Zhenmiao Deng and Lei Feng. Their work appears in journals such as Journal of Semiconductors, International Journal of Computer Vision, Pattern Recognition, Energy & Fuels and Analog Integrated Circuits and Signal Processing.
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.