Xingrui Yang

610 total citations
12 papers, 274 citations indexed

About

Xingrui Yang is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Computational Mechanics. According to data from OpenAlex, Xingrui Yang has authored 12 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 8 papers in Aerospace Engineering and 2 papers in Computational Mechanics. Recurrent topics in Xingrui Yang's work include Robotics and Sensor-Based Localization (7 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Advanced Vision and Imaging (2 papers). Xingrui Yang is often cited by papers focused on Robotics and Sensor-Based Localization (7 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Advanced Vision and Imaging (2 papers). Xingrui Yang collaborates with scholars based in China, United Kingdom and United States. Xingrui Yang's co-authors include Zhiqian Yi, Guofeng Zhang, Yuhang Ming, Andrew Calway, Hujun Bao, Yuqian Liu, Zhaopeng Cui, Huimin Lu, Hui Zhang and Yubo Li and has published in prestigious journals such as Applied Surface Science, Electronics Letters and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

Xingrui Yang

10 papers receiving 263 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xingrui Yang China 7 233 173 42 21 18 12 274
Olivier Saurer Switzerland 9 292 1.3× 230 1.3× 30 0.7× 30 1.4× 12 0.7× 11 365
Fei-Peng Tian China 8 297 1.3× 133 0.8× 90 2.1× 14 0.7× 8 0.4× 11 346
Enliang Zheng United States 7 233 1.0× 94 0.5× 26 0.6× 32 1.5× 17 0.9× 11 266
Zhelun Shen China 8 310 1.3× 65 0.4× 76 1.8× 9 0.4× 20 1.1× 16 340
Xiaoyan Hu China 9 282 1.2× 58 0.3× 87 2.1× 14 0.7× 13 0.7× 16 345
Yafei Hu United States 4 212 0.9× 160 0.9× 20 0.5× 7 0.3× 14 0.8× 5 250
Li Fan China 7 217 0.9× 87 0.5× 59 1.4× 7 0.3× 6 0.3× 29 285
Lang Nie China 9 251 1.1× 74 0.4× 30 0.7× 6 0.3× 6 0.3× 29 285
V. V. Kniaz Russia 8 163 0.7× 76 0.4× 37 0.9× 7 0.3× 18 1.0× 40 250
Yiliu Feng China 7 342 1.5× 76 0.4× 105 2.5× 19 0.9× 10 0.6× 12 388

Countries citing papers authored by Xingrui Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xingrui Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xingrui Yang

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

All Works

12 of 12 papers shown
1.
Ming, Yuhang, et al.. (2025). VIPeR: Visual Incremental Place Recognition With Adaptive Mining and Continual Learning. IEEE Robotics and Automation Letters. 10(3). 3038–3045.
3.
Ming, Yuhang, et al.. (2024). Benchmarking neural radiance fields for autonomous robots: An overview. Engineering Applications of Artificial Intelligence. 140. 109685–109685. 6 indexed citations
4.
Ming, Yuhang, et al.. (2024). AEGIS-Net: Attention-Guided Multi-Level Feature Aggregation for Indoor Place Recognition. 4030–4034. 3 indexed citations
5.
Yang, Xingrui, et al.. (2023). ImTooth: Neural Implicit Tooth for Dental Augmented Reality. IEEE Transactions on Visualization and Computer Graphics. 29(5). 2837–2846. 8 indexed citations
6.
Ming, Yuhang, Xingrui Yang, Guofeng Zhang, & Andrew Calway. (2022). CGiS-Net: Aggregating Colour, Geometry and Implicit Semantic Features for Indoor Place Recognition. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 7 indexed citations
7.
Yang, Xingrui, et al.. (2022). Vox-Surf: Voxel-Based Implicit Surface Representation. IEEE Transactions on Visualization and Computer Graphics. 30(3). 1743–1755. 38 indexed citations
8.
Yang, Xingrui, Yuhang Ming, Zhaopeng Cui, & Andrew Calway. (2022). FD-SLAM: 3-D Reconstruction Using Features and Dense Matching. 2022 International Conference on Robotics and Automation (ICRA). 8040–8046. 15 indexed citations
9.
Ming, Yuhang, Xingrui Yang, & Andrew Calway. (2021). Object-Augmented RGB-D SLAM for Wide-Disparity Relocalisation. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 2203–2209. 9 indexed citations
10.
Du, Ning, et al.. (2020). Recursive identification for choke finger system in wind tunnel. ISA Transactions. 107. 173–180. 3 indexed citations
11.
Lu, Huimin, et al.. (2013). Stereo vision based traversable region detection for mobile robots using u-v-disparity. Chinese Control Conference. 5785–5790. 11 indexed citations
12.
Yi, Zhiqian, et al.. (2008). Multi-spectral remote image registration based on SIFT. Electronics Letters. 44(2). 107–108. 174 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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