Shichen Lu
Impact in
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- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
- Video Analysis and Summarization
- Advanced Neural Network Applications
Papers in
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- Multimodal Machine Learning Applications 5
- Advanced Image and Video Retrieval Techniques 4
- Human Pose and Action Recognition 2
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- Supercapacitor Materials and Fabrication 3
- Co-authors
- Longteng Guo (5 shared papers)Jing Liu (5 shared papers)Hanqing Lu (2 shared papers)Xinxin Zhu (2 shared papers)Peng Yao (1 shared paper)Yuqing Wen (5 shared papers)Likui Wang (3 shared papers)Shang You Wei (3 shared papers)
In The Last Decade
Shichen Lu
13 papers receiving 458 citations
Peers
Comparison fields: 5 of 64
- Computer Vision and Pattern Recognition 270
- Instrumentation 17
- Artificial Intelligence 125
- Electronic, Optical and Magnetic Materials 53
- Aerospace Engineering 50
Countries citing papers authored by Shichen Lu
This map shows the geographic impact of Shichen 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 Shichen Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shichen Lu more than expected).
Fields of papers citing papers by Shichen Lu
This network shows the impact of papers produced by Shichen 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 Shichen Lu. The network helps show where Shichen Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Shichen 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
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 195 | |
| 2 | 2023 | 104 | |
| 3 | 2019 | 44 | |
| 4 | 2023 | 29 | |
| 5 | 2023 | 27 | |
| 6 | 2023 | 26 | |
| 7 | 2025 | 18 | |
| 8 | 2023 | 10 | |
| 9 | 2014 | 5 | |
| 10 | 2016 | 3 | |
| 11 | 2019 | 2 | |
| 12 | 2020 | 2 | |
| 13 | 2024 | 1 | |
| 14 | 2023 | 0 |
About Shichen Lu
Shichen Lu is a scholar working on Computer Vision and Pattern Recognition, Electronic, Optical and Magnetic Materials, Automotive Engineering, Artificial Intelligence and Renewable Energy, Sustainability and the Environment, having authored 14 papers that have together received 466 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (5 papers), Advanced Image and Video Retrieval Techniques (4 papers), Domain Adaptation and Few-Shot Learning (4 papers), Advanced battery technologies research (3 papers), Supercapacitor Materials and Fabrication (3 papers), Human Pose and Action Recognition (2 papers), Advancements in Battery Materials (2 papers) and Autonomous Vehicle Technology and Safety (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (270 citations), Instrumentation (17 citations), Artificial Intelligence (125 citations), Electronic, Optical and Magnetic Materials (53 citations) and Aerospace Engineering (50 citations). Shichen Lu has collaborated with scholars based in China and Canada. Frequent co-authors include Longteng Guo, Jing Liu, Hanqing Lu, Xinxin Zhu, Peng Yao, Yuqing Wen, Likui Wang, Shang You Wei, David Juny Yoon and Feng Xie. Their work appears in journals such as Journal of Industrial and Engineering Chemistry, Journal of Energy Storage, Journal of Alloys and Compounds, Applied Sciences and SAE technical papers on CD-ROM/SAE technical paper series.
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.