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
- Human Pose and Action Recognition 3
- Advanced Image and Video Retrieval Techniques 3
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- Advanced battery technologies research 3
- Advancements in Battery Materials 2
- Co-authors
- Jing Liu (4 shared papers)Longteng Guo (5 shared papers)Hanqing Lu (2 shared papers)Peng Yao (1 shared paper)Xinxin Zhu (2 shared papers)Yuqing Wen (5 shared papers)Likui Wang (3 shared papers)Wei Shang (3 shared papers)
In The Last Decade
Shichen Lu
13 papers receiving 388 citations
Peers
Comparison fields: 5 of 61
- Computer Vision and Pattern Recognition 243
- Instrumentation 17
- Artificial Intelligence 111
- Electronic, Optical and Magnetic Materials 43
- Aerospace Engineering 45
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 | 171 | |
| 2 | 2023 | 81 | |
| 3 | 2019 | 42 | |
| 4 | 2023 | 27 | |
| 5 | 2023 | 25 | |
| 6 | 2023 | 20 | |
| 7 | 2025 | 10 | |
| 8 | 2023 | 9 | |
| 9 | 2014 | 4 | |
| 10 | 2016 | 3 | |
| 11 | Multi-View Features and Hybrid Reward Strategies for Vatex Video Captioning Challenge 2019. | 2019 | 2 |
| 12 | 2019 | 2 | |
| 13 | 2024 | 1 |
About Shichen Lu
Shichen Lu is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Artificial Intelligence, Electronic, Optical and Magnetic Materials and Aerospace Engineering, having authored 13 papers that have together received 397 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (5 papers), Supercapacitor Materials and Fabrication (3 papers), Human Pose and Action Recognition (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Advanced battery technologies research (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Advancements in Battery Materials (2 papers) and Robotics and Sensor-Based Localization (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (243 citations), Instrumentation (17 citations), Artificial Intelligence (111 citations), Electronic, Optical and Magnetic Materials (43 citations) and Aerospace Engineering (45 citations). Shichen Lu has collaborated with scholars based in China and Canada. Frequent co-authors include Jing Liu, Longteng Guo, Hanqing Lu, Peng Yao, Xinxin Zhu, Yuqing Wen, Likui Wang, Wei Shang, Feng Xie and Haowei Zhang. Their work appears in journals such as Journal of Industrial and Engineering Chemistry, Applied Sciences, Journal of Alloys and Compounds, Journal of Energy Storage and Electrochimica Acta.
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.