Kaili Lu
Impact in
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological Disease Mechanisms and Treatments
- Amyotrophic Lateral Sclerosis Research
- Neurological Disorders and Treatments
Papers in
-
- Neuroinflammation and Neurodegeneration Mechanisms 4
- Amyotrophic Lateral Sclerosis Research 2
- Neurological Disease Mechanisms and Treatments 2
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- Inertial Sensor and Navigation 6
- Infrared Target Detection Methodologies 2
- Co-authors
- Yuwu Zhao (10 shared papers)Xiaofeng Xu (4 shared papers)Xiuzhe Wang (6 shared papers)Jiangshan Deng (6 shared papers)Qian Wang (4 shared papers)Yuzhen Xu (4 shared papers)Fei Linda Zhao (3 shared papers)Bin Zhang (2 shared papers)
- Journals
- Remote Sensing (3 papers)Journal of the Neurological Sciences (3 papers)International Journal of Pharmaceutics (2 papers)Photonics (2 papers)Journal of Neuroinflammation (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Kaili Lu
30 papers receiving 474 citations
Peers
Comparison fields: 5 of 94
- Neurology 83
- Biological Psychiatry 10
- Neurology 59
- Metals and Alloys 6
- Aging 4
Countries citing papers authored by Kaili Lu
This map shows the geographic impact of Kaili 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 Kaili Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaili Lu more than expected).
Fields of papers citing papers by Kaili Lu
This network shows the impact of papers produced by Kaili 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 Kaili Lu. The network helps show where Kaili Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Kaili 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 47 | |
| 2 | 2022 | 44 | |
| 3 | 2016 | 40 | |
| 4 | 2019 | 38 | |
| 5 | 2017 | 36 | |
| 6 | 2016 | 35 | |
| 7 | 2015 | 31 | |
| 8 | 2016 | 22 | |
| 9 | 2023 | 20 | |
| 10 | 2016 | 18 | |
| 11 | 2020 | 17 | |
| 12 | 2013 | 15 | |
| 13 | 2019 | 15 | |
| 14 | 2024 | 14 | |
| 15 | 2023 | 11 | |
| 16 | 2024 | 10 | |
| 17 | 2023 | 10 | |
| 18 | 2022 | 7 | |
| 19 | 2013 | 6 | |
| 20 | 2023 | 6 |
About Kaili Lu
Kaili Lu is a scholar working on Neurology, Aerospace Engineering, Computational Mechanics, Neurology and Pharmaceutical Science, having authored 34 papers that have together received 480 indexed citations. Recurring topics across this work include Inertial Sensor and Navigation (6 papers), Astronomical Observations and Instrumentation (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Infrared Target Detection Methodologies (2 papers), Advanced Drug Delivery Systems (2 papers), Amyotrophic Lateral Sclerosis Research (2 papers), Neurological Disease Mechanisms and Treatments (2 papers) and Geophysics and Gravity Measurements (2 papers). The work is most often cited by research in Neurology (83 citations), Biological Psychiatry (10 citations), Neurology (59 citations), Metals and Alloys (6 citations) and Aging (4 citations). Kaili Lu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yuwu Zhao, Xiaofeng Xu, Xiuzhe Wang, Jiangshan Deng, Qian Wang, Yuzhen Xu, Fei Linda Zhao, Bin Zhang, Yuwu Zhao and Yunling Liu. Their work appears in journals such as Remote Sensing, Journal of the Neurological Sciences, International Journal of Pharmaceutics, Photonics and Journal of Neuroinflammation.
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.