Zukun Lu
Impact in
- Aerospace Engineering top 5%
- GNSS positioning and interference
- Radar Systems and Signal Processing
- Antenna Design and Optimization
- Inertial Sensor and Navigation
- Signal Processing top 10%
- Direction-of-Arrival Estimation Techniques
Papers in
-
- GNSS positioning and interference 33
- Radar Systems and Signal Processing 14
- Inertial Sensor and Navigation 8
- Antenna Design and Optimization 6
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- Indoor and Outdoor Localization Technologies 13
- Co-authors
- Feiqiang Chen (19 shared papers)Baiyu Li (12 shared papers)Feixue Wang (6 shared papers)Wenxiang Liu (5 shared papers)Gang Ou (6 shared papers)Chao Ren (3 shared papers)Peiguo Liu (3 shared papers)Guangfu Sun (7 shared papers)
In The Last Decade
Zukun Lu
36 papers receiving 351 citations
Peers
Comparison fields: 5 of 43
- Aerospace Engineering 267
- Signal Processing 64
- Artificial Intelligence 88
- Electrical and Electronic Engineering 137
- Computer Networks and Communications 52
Countries citing papers authored by Zukun Lu
This map shows the geographic impact of Zukun Lu'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 Zukun Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zukun Lu more than expected).
Fields of papers citing papers by Zukun Lu
This network shows the impact of papers produced by Zukun Lu. 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 Zukun Lu. The network helps show where Zukun Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Zukun Lu, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 51 | |
| 2 | 2022 | 35 | |
| 3 | 2017 | 32 | |
| 4 | 2021 | 22 | |
| 5 | 2018 | 19 | |
| 6 | 2022 | 17 | |
| 7 | 2017 | 15 | |
| 8 | 2020 | 13 | |
| 9 | 2016 | 13 | |
| 10 | 2022 | 13 | |
| 11 | 2023 | 12 | |
| 12 | 2023 | 12 | |
| 13 | 2022 | 12 | |
| 14 | 2023 | 12 | |
| 15 | 2022 | 12 | |
| 16 | 2022 | 11 | |
| 17 | 2023 | 10 | |
| 18 | 2022 | 6 | |
| 19 | 2024 | 5 | |
| 20 | 2023 | 4 |
About Zukun Lu
Zukun Lu is a scholar working on Aerospace Engineering, Electrical and Electronic Engineering, Artificial Intelligence, Signal Processing and Computer Networks and Communications, having authored 48 papers that have together received 361 indexed citations. Recurring topics across this work include GNSS positioning and interference (33 papers), Radar Systems and Signal Processing (14 papers), Indoor and Outdoor Localization Technologies (13 papers), Target Tracking and Data Fusion in Sensor Networks (9 papers), Inertial Sensor and Navigation (8 papers), Direction-of-Arrival Estimation Techniques (7 papers), Wireless Communication Networks Research (6 papers) and Antenna Design and Optimization (6 papers). The work is most often cited by research in Aerospace Engineering (267 citations), Signal Processing (64 citations), Artificial Intelligence (88 citations), Electrical and Electronic Engineering (137 citations) and Computer Networks and Communications (52 citations). Zukun Lu has collaborated with scholars based in China, Australia and Belgium. Frequent co-authors include Feiqiang Chen, Baiyu Li, Feixue Wang, Wenxiang Liu, Gang Ou, Chao Ren, Peiguo Liu, Guangfu Sun, Yifan Sun and Xianghao Li. Their work appears in journals such as Remote Sensing, IEEE Sensors Journal, IEEE Transactions on Instrumentation and Measurement, IET Radar Sonar & Navigation and Frontiers in Physics.
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.