Liu Ke
Impact in
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques
Papers in
-
- Advanced Memory and Neural Computing 7
- Ferroelectric and Negative Capacitance Devices 4
- CCD and CMOS Imaging Sensors 3
- Electrowetting and Microfluidic Technologies 2
- Semiconductor Lasers and Optical Devices 2
- Co-authors
- Xuan Zhang (7 shared papers)Xin He (4 shared papers)Wenyan Lü (2 shared papers)Guihai Yan (2 shared papers)Weidong Cao (2 shared papers)Ayan Chakrabarti (2 shared papers)Kyomin Sohn (2 shared papers)Sung Joo Park (1 shared paper)
- Journals
- Sensors and Actuators B Chemical (2 papers)IEEE Design and Test (1 paper)Optics Express (1 paper)IEEE Micro (1 paper)Science China Materials (1 paper)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Liu Ke
12 papers receiving 189 citations
Peers
Comparison fields: 5 of 34
- Hardware and Architecture 72
- Computational Mathematics 5
- Computer Networks and Communications 58
- Computer Vision and Pattern Recognition 44
- Electrical and Electronic Engineering 108
Countries citing papers authored by Liu Ke
This map shows the geographic impact of Liu Ke'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 Liu Ke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liu Ke more than expected).
Fields of papers citing papers by Liu Ke
This network shows the impact of papers produced by Liu Ke. 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 Liu Ke. The network helps show where Liu Ke may publish in the future.
Co-authors
The 25 scholars most cited alongside Liu Ke, 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 | 2021 | 79 | |
| 2 | 2018 | 27 | |
| 3 | 2018 | 21 | |
| 4 | 2022 | 16 | |
| 5 | 2023 | 15 | |
| 6 | 2020 | 13 | |
| 7 | 2010 | 8 | |
| 8 | 2022 | 7 | |
| 9 | 2019 | 7 | |
| 10 | 2020 | 4 | |
| 11 | 2019 | 3 | |
| 12 | 2024 | 2 | |
| 13 | 2025 | 0 | |
| 14 | 2025 | 0 | |
| 15 | 2024 | 0 | |
| 16 | 2024 | 0 | |
| 17 | 2012 | 0 |
About Liu Ke
Liu Ke is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Computer Vision and Pattern Recognition and Hardware and Architecture, having authored 17 papers that have together received 202 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (7 papers), Ferroelectric and Negative Capacitance Devices (4 papers), CCD and CMOS Imaging Sensors (3 papers), Parallel Computing and Optimization Techniques (2 papers), Microfluidic and Capillary Electrophoresis Applications (2 papers), Electrowetting and Microfluidic Technologies (2 papers), Semiconductor Lasers and Optical Devices (2 papers) and Privacy-Preserving Technologies in Data (2 papers). The work is most often cited by research in Hardware and Architecture (72 citations), Computational Mathematics (5 citations), Computer Networks and Communications (58 citations), Computer Vision and Pattern Recognition (44 citations) and Electrical and Electronic Engineering (108 citations). Liu Ke has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Xuan Zhang, Xin He, Wenyan Lü, Guihai Yan, Weidong Cao, Ayan Chakrabarti, Kyomin Sohn, Sung Joo Park, Honghua Xu and Jin Chul Jung. Their work appears in journals such as Sensors and Actuators B Chemical, IEEE Design and Test, Optics Express, IEEE Micro and Science China 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.