Kejun Wu
Impact in
- Biomedical Engineering top 10%
- Analog and Mixed-Signal Circuit Design
- Advanced Sensor and Energy Harvesting Materials
- Bioengineering top 10%
- Analytical Chemistry and Sensors
Papers in
-
- CCD and CMOS Imaging Sensors 19
- Advancements in Semiconductor Devices and Circuit Design 10
- Low-power high-performance VLSI design 6
- Advancements in PLL and VCO Technologies 5
- Radio Frequency Integrated Circuit Design 5
- Thin-Film Transistor Technologies 4
-
- Analog and Mixed-Signal Circuit Design 26
- Co-authors
- Ning Ning (27 shared papers)Qi Yu (25 shared papers)Jing Li (19 shared papers)Kaikai Xu (5 shared papers)Zhong Zhang (16 shared papers)Yanxu Chen (2 shared papers)Qihui Zhang (12 shared papers)Qian Luo (1 shared paper)
In The Last Decade
Kejun Wu
36 papers receiving 412 citations
Peers
Comparison fields: 5 of 59
- Biomedical Engineering 264
- Bioengineering 30
- Electrical and Electronic Engineering 299
- Acoustics and Ultrasonics 4
- Polymers and Plastics 34
Countries citing papers authored by Kejun Wu
This map shows the geographic impact of Kejun Wu'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 Kejun Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kejun Wu more than expected).
Fields of papers citing papers by Kejun Wu
This network shows the impact of papers produced by Kejun Wu. 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 Kejun Wu. The network helps show where Kejun Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Kejun Wu, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 105 | |
| 2 | 2022 | 56 | |
| 3 | 2020 | 29 | |
| 4 | 2022 | 26 | |
| 5 | 2022 | 21 | |
| 6 | 2020 | 20 | |
| 7 | 2019 | 20 | |
| 8 | 2020 | 18 | |
| 9 | 2020 | 14 | |
| 10 | 2018 | 14 | |
| 11 | 2023 | 9 | |
| 12 | 2020 | 9 | |
| 13 | 2021 | 8 | |
| 14 | 2019 | 8 | |
| 15 | 2020 | 8 | |
| 16 | 2023 | 7 | |
| 17 | 2020 | 6 | |
| 18 | 2024 | 5 | |
| 19 | 2019 | 5 | |
| 20 | 2020 | 4 |
About Kejun Wu
Kejun Wu is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Materials Chemistry, Cellular and Molecular Neuroscience and Computer Vision and Pattern Recognition, having authored 44 papers that have together received 429 indexed citations. Recurring topics across this work include Analog and Mixed-Signal Circuit Design (26 papers), CCD and CMOS Imaging Sensors (19 papers), Advancements in Semiconductor Devices and Circuit Design (10 papers), Low-power high-performance VLSI design (6 papers), Advancements in PLL and VCO Technologies (5 papers), Radio Frequency Integrated Circuit Design (5 papers), Neuroscience and Neural Engineering (4 papers) and Thin-Film Transistor Technologies (4 papers). The work is most often cited by research in Biomedical Engineering (264 citations), Bioengineering (30 citations), Electrical and Electronic Engineering (299 citations), Acoustics and Ultrasonics (4 citations) and Polymers and Plastics (34 citations). Kejun Wu has collaborated with scholars based in China, Singapore and Macao. Frequent co-authors include Ning Ning, Qi Yu, Jing Li, Kaikai Xu, Zhong Zhang, Yanxu Chen, Qihui Zhang, Qian Luo, Hongqiao Zhang and Qinglei Guo. Their work appears in journals such as IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Access, IEEE Transactions on Circuits and Systems I Regular Papers, Optics Express and International Journal of Refractory Metals and Hard Materials.
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.