Jirui Yuan

798 total citations · 1 hit paper
10 papers, 448 citations indexed

About

Jirui Yuan is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Social Psychology. According to data from OpenAlex, Jirui Yuan has authored 10 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 4 papers in Automotive Engineering and 1 paper in Social Psychology. Recurrent topics in Jirui Yuan's work include Video Surveillance and Tracking Methods (4 papers), Autonomous Vehicle Technology and Safety (4 papers) and Face and Expression Recognition (3 papers). Jirui Yuan is often cited by papers focused on Video Surveillance and Tracking Methods (4 papers), Autonomous Vehicle Technology and Safety (4 papers) and Face and Expression Recognition (3 papers). Jirui Yuan collaborates with scholars based in China, Finland and Hong Kong. Jirui Yuan's co-authors include Haibao Yu, Zaiqing Nie, Yifeng Shi, Zebang Yang, Yizhen Luo, Xing Hu, Hanyu Li, Zhenglong Guo, Karen Egiazarian and Rakesh Mehta and has published in prestigious journals such as Pattern Recognition, Pattern Recognition Letters and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Jirui Yuan

9 papers receiving 437 citations

Hit Papers

DAIR-V2X: A Large-Scale D... 2022 2026 2023 2024 2022 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jirui Yuan China 7 291 139 91 65 51 10 448
Haibao Yu China 5 253 0.9× 138 1.0× 86 0.9× 60 0.9× 39 0.8× 11 395
Yifeng Shi China 10 388 1.3× 177 1.3× 127 1.4× 75 1.2× 78 1.5× 18 575
Yizhen Luo China 5 194 0.7× 91 0.7× 75 0.8× 49 0.8× 49 1.0× 6 314
Takashi Naito Japan 13 358 1.2× 225 1.6× 119 1.3× 120 1.8× 54 1.1× 35 557
Zhenchao Ouyang China 12 199 0.7× 106 0.8× 53 0.6× 38 0.6× 71 1.4× 39 423
Manato Hirabayashi Japan 6 195 0.7× 196 1.4× 99 1.1× 44 0.7× 63 1.2× 16 496
Hyunggi Cho United States 7 298 1.0× 179 1.3× 134 1.5× 37 0.6× 73 1.4× 7 487
Aseem Behl Germany 6 328 1.1× 148 1.1× 80 0.9× 38 0.6× 125 2.5× 8 519
Dominic Zeng Wang United Kingdom 5 323 1.1× 179 1.3× 186 2.0× 124 1.9× 81 1.6× 5 535
Yuki Kitsukawa Japan 5 148 0.5× 182 1.3× 119 1.3× 51 0.8× 58 1.1× 8 439

Countries citing papers authored by Jirui Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Jirui Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jirui Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Jirui Yuan. A scholar is included among the top collaborators of Jirui Yuan 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 Jirui Yuan. Jirui Yuan 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.
Fan, Siqi, Zhenlin Zhang, Haibao Yu, et al.. (2024). RCooper: A Real-world Large-scale Dataset for Roadside Cooperative Perception. 22347–22357. 16 indexed citations
2.
Fan, Siqi, Haibao Yu, Wenxian Yang, Jirui Yuan, & Zaiqing Nie. (2024). QUEST: Query Stream for Practical Cooperative Perception. 18436–18442. 7 indexed citations
3.
Ma, Lin, Longrui Chen, Yan Zhang, et al.. (2024). Evaluation of Pedestrian Safety in a High-Fidelity Simulation Environment Framework. 2035–2041.
4.
Yu, Haibao, Wenxian Yang, Z. Yang, et al.. (2023). V2X-Seq: A Large-Scale Sequential Dataset for Vehicle-Infrastructure Cooperative Perception and Forecasting. 5486–5495. 81 indexed citations
5.
Chen, Zheng, Wenjie Jiang, Yan Zhang, et al.. (2023). Annotating Covert Hazardous Driving Scenarios Online: Utilizing Drivers' Electroencephalography (EEG) Signals. 19. 1456–1462. 3 indexed citations
6.
Li, Pengfei, Yongliang Shi, Hao Zhao, et al.. (2023). LODE: Locally Conditioned Eikonal Implicit Scene Completion from Sparse LiDAR. 8269–8276. 18 indexed citations
7.
Yu, Haibao, Yizhen Luo, Zebang Yang, et al.. (2022). DAIR-V2X: A Large-Scale Dataset for Vehicle-Infrastructure Cooperative 3D Object Detection. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 21329–21338. 277 indexed citations breakdown →
8.
Yuan, Jirui, et al.. (2018). Multi-view predictive latent space learning. Pattern Recognition Letters. 132. 56–61. 6 indexed citations
9.
Mehta, Rakesh, Jirui Yuan, & Karen Egiazarian. (2013). Face recognition using scale-adaptive directional and textural features. Pattern Recognition. 47(5). 1846–1858. 37 indexed citations
10.
Mehta, Rakesh, Jirui Yuan, & Karen Egiazarian. (2011). Local polynomial approximation-local binary pattern (LPA-LBP) based face classification. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7881. 78810N–78810N. 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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