Shichen Lu

608 total citations
13 papers, 397 citations indexed

About

Shichen Lu is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Shichen Lu has authored 13 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Electrical and Electronic Engineering and 3 papers in Artificial Intelligence. Recurrent topics in Shichen Lu's work include Multimodal Machine Learning Applications (5 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Supercapacitor Materials and Fabrication (3 papers). Shichen Lu is often cited by papers focused on Multimodal Machine Learning Applications (5 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Supercapacitor Materials and Fabrication (3 papers). Shichen Lu collaborates with scholars based in China and Canada. Shichen Lu's co-authors include Longteng Guo, Jing Liu, Hanqing Lu, Xinxin Zhu, Peng Yao, Yuqing Wen, Likui Wang, Wei Shang, Feng Xie and Timothy D. Barfoot and has published in prestigious journals such as Electrochimica Acta, Journal of Alloys and Compounds and The International Journal of Robotics Research.

In The Last Decade

Shichen Lu

13 papers receiving 388 citations

Peers

Shichen Lu

CVPR

AI

EEE

AE

MC

Shengyu Zhao China

Guoqiang Liang China

Yurui Zhu China

Hanzhang Wang China

Xinhao Cai China

Anthony Hu United Kingdom

Meilin Li China

Dong Lao China

Jianyu Wang China

Shengyu Zhao China

Shichen Lu

169 ×0.7

CVPR

26 ×0.2

AI

284 ×5.8

EEE

16 ×0.4

AE

46 ×1.0

MC

Citations per year, relative to Shichen Lu Shichen Lu (= 1×) peers Shengyu Zhao

Countries citing papers authored by Shichen Lu

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Shichen Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Shichen Lu. A scholar is included among the top collaborators of Shichen Lu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shichen Lu. Shichen Lu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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13 of 13 papers shown

1.

Li, Bo, Ruirui Zhao, Yue Hao, et al.. (2025). In situ electrodeposition construction of a Ni/Mn bimetallic organic framework material and its electrochemical performance in flexible supercapacitors. Journal of Alloys and Compounds. 1020. 179340–179340. 10 indexed citations

2.

Lu, Shichen, et al.. (2024). Collaborative Training of Tiny-Large Vision Language Models. 4928–4937. 1 indexed citations

3.

Liu, Jiahong, Shichen Lu, Likui Wang, et al.. (2023). Constructed a bimetallic synergistic organic backbones electrode by the electrochemical deposition for high-performance flexible supercapacitors. Journal of Energy Storage. 68. 107885–107885. 27 indexed citations

4.

Cao, Yijun, Likui Wang, Shichen Lu, Yuqing Wen, & Wei Shang. (2023). Construction of porous anodic oxide/Ce-MOFs film by induced electrodeposition and its corrosion resistance. Journal of Industrial and Engineering Chemistry. 122. 378–388. 25 indexed citations

5.

Yoon, David J., Haowei Zhang, Shichen Lu, et al.. (2023). Boreas: A multi-season autonomous driving dataset. The International Journal of Robotics Research. 42(1-2). 33–42. 81 indexed citations

6.

Lu, Shichen, Feng Xie, Hanyu Liu, et al.. (2023). Construction and electrochemical properties of carbon nanotube composite Mn-MOFs materials electrode for high-performance flexible supercapacitors. Electrochimica Acta. 466. 143063–143063. 20 indexed citations

7.

Wang, Likui, Shichen Lu, Feng Xie, et al.. (2023). Influence of synergistic effect of phosphate on corrosion resistance of self-assembled superhydrophobic composite film on 6061 aluminum alloy surfaces. Journal of Industrial and Engineering Chemistry. 128. 335–345. 9 indexed citations

8.

Guo, Longteng, Jing Liu, Xinxin Zhu, et al.. (2020). Normalized and Geometry-Aware Self-Attention Network for Image Captioning. 10324–10333. 171 indexed citations

9.

Zhu, Xinxin, Longteng Guo, Shichen Lu, et al.. (2019). Multi-View Features and Hybrid Reward Strategies for Vatex Video Captioning Challenge 2019.. arXiv (Cornell University). 2 indexed citations

10.

Guo, Longteng, Jing Liu, Shichen Lu, & Hanqing Lu. (2019). Show, Tell, and Polish: Ruminant Decoding for Image Captioning. IEEE Transactions on Multimedia. 22(8). 2149–2162. 42 indexed citations

11.

Lu, Shichen, et al.. (2019). Structure Preserving Convolutional Attention for Image Captioning. Applied Sciences. 9(14). 2888–2888. 2 indexed citations

12.

Yang, Bo, et al.. (2016). The Research of Solar Organic Rankine Evaporation Cycle System for Vehicle. SAE technical papers on CD-ROM/SAE technical paper series. 1. 3 indexed citations

13.

Lu, Shichen, et al.. (2014). Situational awareness model based on attention allocation. Beijing Hangkong Hangtian Daxue xuebao. 40(8). 1066. 4 indexed citations

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.

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