Xiangyu Chen

654 total citations
10 papers, 453 citations indexed

About

Xiangyu Chen is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Automotive Engineering. According to data from OpenAlex, Xiangyu Chen has authored 10 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 3 papers in Control and Systems Engineering and 2 papers in Automotive Engineering. Recurrent topics in Xiangyu Chen's work include Robotic Path Planning Algorithms (4 papers), Advanced Neural Network Applications (3 papers) and Robotics and Sensor-Based Localization (2 papers). Xiangyu Chen is often cited by papers focused on Robotic Path Planning Algorithms (4 papers), Advanced Neural Network Applications (3 papers) and Robotics and Sensor-Based Localization (2 papers). Xiangyu Chen collaborates with scholars based in Japan, China and Singapore. Xiangyu Chen's co-authors include Masayuki Inaba, Kei Okada, Moju Zhao, Tomoki Anzai, Fan Shi, Zhiyong Liu, Xiangyu Zhu, Xu Yang, Zhen Lei and Lu Zhang and has published in prestigious journals such as IEEE Robotics and Automation Letters and Clinical Cosmetic and Investigational Dermatology.

In The Last Decade

Xiangyu Chen

10 papers receiving 447 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Xiangyu Chen Japan 6 294 179 144 75 68 10 453
Sankar Nath Shome India 13 216 0.7× 103 0.6× 197 1.4× 32 0.4× 101 1.5× 42 451
Sam Prentice United States 5 255 0.9× 189 1.1× 69 0.5× 21 0.3× 45 0.7× 5 393
Ezio Malis France 12 459 1.6× 317 1.8× 49 0.3× 123 1.6× 59 0.9× 19 538
Kaixuan Wang China 10 319 1.1× 223 1.2× 51 0.4× 47 0.6× 15 0.2× 37 430
Maximilian Laiacker Germany 10 298 1.0× 293 1.6× 229 1.6× 9 0.1× 74 1.1× 17 487
Javier Pérez Spain 11 177 0.6× 167 0.9× 66 0.5× 19 0.3× 25 0.4× 23 387
Xiaodong Yi China 12 238 0.8× 240 1.3× 45 0.3× 44 0.6× 17 0.3× 52 429
Xungao Zhong China 9 155 0.5× 72 0.4× 54 0.4× 52 0.7× 36 0.5× 28 250
K. S. Venkatesh India 11 319 1.1× 73 0.4× 59 0.4× 82 1.1× 29 0.4× 84 398
Jinbo Wu China 10 133 0.5× 34 0.2× 197 1.4× 42 0.6× 30 0.4× 37 367

Countries citing papers authored by Xiangyu Chen

Since Specialization
Citations

This map shows the geographic impact of Xiangyu Chen'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 Xiangyu Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiangyu Chen more than expected).

Fields of papers citing papers by Xiangyu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiangyu Chen. 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 Xiangyu Chen. The network helps show where Xiangyu Chen may publish in the future.

Co-authorship network of co-authors of Xiangyu Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Xiangyu Chen. A scholar is included among the top collaborators of Xiangyu Chen 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 Xiangyu Chen. Xiangyu Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Yang, Pu, et al.. (2025). Ellagic Acid Mediates the Delay of Dermal Fibroblast Senescence via CSNK2A1. Clinical Cosmetic and Investigational Dermatology. Volume 18. 1971–1983. 1 indexed citations
2.
Liu, Zichen, Jun Hao Liew, Xiangyu Chen, & Jiashi Feng. (2021). DANCE : A Deep Attentive Contour Model for Efficient Instance Segmentation. 345–354. 52 indexed citations
3.
Wang, Shuai, Leilei Cui, Jie Lai, et al.. (2020). Gain Scheduled Controller Design for Balancing an Autonomous Bicycle. 7595–7600. 13 indexed citations
4.
Zhang, Lu, Xiangyu Zhu, Xiangyu Chen, et al.. (2019). Weakly Aligned Cross-Modal Learning for Multispectral Pedestrian Detection. 5126–5136. 152 indexed citations
6.
Wada, Kentaro, et al.. (2018). Learning to Segment Generic Handheld Objects Using Class-Agnostic Deep Comparison and Segmentation Network. IEEE Robotics and Automation Letters. 3(4). 3844–3851. 5 indexed citations
7.
Zhao, Moju, Tomoki Anzai, Fan Shi, et al.. (2018). Design, Modeling, and Control of an Aerial Robot DRAGON: A Dual-Rotor-Embedded Multilink Robot With the Ability of Multi-Degree-of-Freedom Aerial Transformation. IEEE Robotics and Automation Letters. 3(2). 1176–1183. 135 indexed citations
8.
Zhao, Moju, Koji Kawasaki, Xiangyu Chen, et al.. (2017). Whole-body aerial manipulation by transformable multirotor with two-dimensional multilinks. 5175–5182. 66 indexed citations
9.
Anzai, Tomoki, Moju Zhao, Xiangyu Chen, et al.. (2017). Multilinked multirotor with internal communication system for multiple objects transportation based on form optimization method. 5977–5984. 25 indexed citations
10.
Chen, Xiangyu, Kohei Kimura, Moju Zhao, et al.. (2016). Development of task-oriented high power field robot platform with humanoid upper body and mobile wheeled base. 349–354. 3 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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