Ruixuan Yu

529 total citations · 1 hit paper
10 papers, 315 citations indexed

About

Ruixuan Yu is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Occupational Therapy. According to data from OpenAlex, Ruixuan Yu has authored 10 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 7 papers in Computational Mechanics and 1 paper in Occupational Therapy. Recurrent topics in Ruixuan Yu's work include 3D Shape Modeling and Analysis (7 papers), Medical Image Segmentation Techniques (4 papers) and Image Processing and 3D Reconstruction (2 papers). Ruixuan Yu is often cited by papers focused on 3D Shape Modeling and Analysis (7 papers), Medical Image Segmentation Techniques (4 papers) and Image Processing and 3D Reconstruction (2 papers). Ruixuan Yu collaborates with scholars based in China, Germany and South Korea. Ruixuan Yu's co-authors include Jian Sun, Xin Wei, Kai Sun, Jiangshe Zhang, Junmin Liu, Huibin Li, Horace H. S. Ip, Junseok Kim, Yibao Li and Changbo He and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Sensors.

In The Last Decade

Ruixuan Yu

10 papers receiving 300 citations

Hit Papers

View-GCN: View-Based Graph Convolutional Network for 3D S... 2020 2026 2022 2024 2020 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruixuan Yu China 6 190 175 108 47 46 10 315
Cho-Ying Wu United States 6 150 0.8× 136 0.8× 95 0.9× 45 1.0× 68 1.5× 9 272
Shiyi Lan United States 5 208 1.1× 100 0.6× 78 0.7× 29 0.6× 55 1.2× 6 310
Matthias Niesner Germany 7 205 1.1× 230 1.3× 135 1.3× 90 1.9× 80 1.7× 8 361
Marie‐Julie Rakotosaona United States 7 208 1.1× 159 0.9× 96 0.9× 104 2.2× 77 1.7× 8 350
Songfang Han United States 8 308 1.6× 114 0.7× 117 1.1× 77 1.6× 70 1.5× 12 412
Yachao Zhang China 9 132 0.7× 145 0.8× 131 1.2× 14 0.3× 125 2.7× 25 291
Jiantao Gao China 8 224 1.2× 115 0.7× 69 0.6× 36 0.8× 60 1.3× 16 329
Lintao Zheng China 9 191 1.0× 100 0.6× 67 0.6× 24 0.5× 22 0.5× 15 267
Qingan Yan China 15 325 1.7× 127 0.7× 111 1.0× 102 2.2× 39 0.8× 26 440

Countries citing papers authored by Ruixuan Yu

Since Specialization
Citations

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

Fields of papers citing papers by Ruixuan Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruixuan Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Ruixuan Yu. A scholar is included among the top collaborators of Ruixuan Yu 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 Ruixuan Yu. Ruixuan Yu 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.
Chen, Peng, et al.. (2025). Metric-guided graph contrastive learning: an unsupervised approach for few-shot gearbox fault diagnosis. Measurement Science and Technology. 36(7). 76110–76110. 3 indexed citations
2.
Yu, Ruixuan, et al.. (2025). Predictive model establishment for forward-head posture disorder in primary-school-aged children based on multiple machine learning algorithms. Frontiers in Bioengineering and Biotechnology. 13. 1607419–1607419. 1 indexed citations
3.
Yu, Ruixuan & Jian Sun. (2024). Pose-Transformed Equivariant Network for 3D Point Trajectory Prediction. 5503–5512. 1 indexed citations
4.
Wei, Xin, Ruixuan Yu, & Jian Sun. (2022). Learning View-Based Graph Convolutional Network for Multi-View 3D Shape Analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(6). 7525–7541. 22 indexed citations
5.
Yu, Ruixuan & Jian Sun. (2021). Learning Polynomial-Based Separable Convolution for 3D Point Cloud Analysis. Sensors. 21(12). 4211–4211. 2 indexed citations
6.
Yu, Ruixuan, Jian Sun, & Huibin Li. (2020). Second-Order Spectral Transform Block for 3D Shape Classification and Retrieval. IEEE Transactions on Image Processing. 29. 4530–4543. 8 indexed citations
7.
Sun, Kai, et al.. (2020). DRCNN: Dynamic Routing Convolutional Neural Network for Multi-View 3D Object Recognition. IEEE Transactions on Image Processing. 30. 868–877. 48 indexed citations
8.
Wei, Xin, Ruixuan Yu, & Jian Sun. (2020). View-GCN: View-Based Graph Convolutional Network for 3D Shape Analysis. 1847–1856. 209 indexed citations breakdown →
9.
Li, Huibin, Yibao Li, Ruixuan Yu, Jian Sun, & Junseok Kim. (2018). Surface reconstruction from unorganized points with l0 gradient minimization. Computer Vision and Image Understanding. 169. 108–118. 13 indexed citations
10.
Ip, Horace H. S. & Ruixuan Yu. (1996). Recursive splitting of active contours in multipleclump segmentation. Electronics Letters. 32(17). 1564–1566. 8 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026