Xiangyi Yan

626 total citations
12 papers, 250 citations indexed

About

Xiangyi Yan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Xiangyi Yan has authored 12 papers receiving a total of 250 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 3 papers in Control and Systems Engineering. Recurrent topics in Xiangyi Yan's work include Medical Image Segmentation Techniques (4 papers), Human Pose and Action Recognition (4 papers) and Advanced Neural Network Applications (3 papers). Xiangyi Yan is often cited by papers focused on Medical Image Segmentation Techniques (4 papers), Human Pose and Action Recognition (4 papers) and Advanced Neural Network Applications (3 papers). Xiangyi Yan collaborates with scholars based in United States and China. Xiangyi Yan's co-authors include Xiaohui Xie, Shanlin Sun, Deying Kong, Hao Tang, Haoyu Ma, Hao Tang, Haoyu Ma, Kun Yeun Han, Wei Fan and Hao Tang and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

In The Last Decade

Xiangyi Yan

11 papers receiving 247 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiangyi Yan United States 6 177 100 77 40 38 12 250
Deying Kong United States 7 132 0.7× 65 0.7× 47 0.6× 31 0.8× 28 0.7× 12 201
Mingqi Gao China 11 232 1.3× 64 0.6× 48 0.6× 18 0.5× 20 0.5× 22 296
Meilu Zhu Hong Kong 8 143 0.8× 119 1.2× 68 0.9× 21 0.5× 11 0.3× 27 305
Yuliang Zou United States 5 234 1.3× 161 1.6× 33 0.4× 21 0.5× 7 0.2× 8 285
Duowen Chen China 4 153 0.9× 83 0.8× 68 0.9× 26 0.7× 56 1.5× 12 231
Constantin Seibold Germany 7 128 0.7× 127 1.3× 86 1.1× 40 1.0× 28 0.7× 22 258
Guanqi Chen China 9 297 1.7× 182 1.8× 87 1.1× 21 0.5× 23 0.6× 16 429
Adeel Abbasi Pakistan 8 105 0.6× 211 2.1× 166 2.2× 64 1.6× 51 1.3× 16 395
Jinzhuo Wang China 11 174 1.0× 85 0.8× 27 0.4× 51 1.3× 7 0.2× 34 299

Countries citing papers authored by Xiangyi Yan

Since Specialization
Citations

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

Fields of papers citing papers by Xiangyi Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiangyi Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Xiangyi Yan. A scholar is included among the top collaborators of Xiangyi Yan 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 Xiangyi Yan. Xiangyi Yan 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.
Han, Kun Yeun, Shanlin Sun, Xiangyi Yan, et al.. (2024). Hybrid Neural Diffeomorphic Flow for Shape Representation and Generation via Triplane. 7692–7702. 3 indexed citations
2.
Yan, Xiangyi, Shanlin Sun, Kun Han, et al.. (2024). AFTer-SAM: Adapting SAM with Axial Fusion Transformer for Medical Imaging Segmentation. 7960–7969. 2 indexed citations
3.
Ma, Haoyu, Tong Zhang, Shanlin Sun, et al.. (2024). CVTHead: One-shot Controllable Head Avatar with Vertex-feature Transformer. 6119–6129. 4 indexed citations
4.
Han, Kun, Shanlin Sun, Xiangyi Yan, et al.. (2023). Diffeomorphic Image Registration with Neural Velocity Field. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 1869–1879. 10 indexed citations
5.
Yan, Xiangyi, Shanlin Sun, Kun Han, et al.. (2023). Representation Recovering for Self-Supervised Pre-training on Medical Images. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 2684–2694. 6 indexed citations
6.
Yan, Xiangyi, Hao Tang, Shanlin Sun, et al.. (2022). AFTer-UNet: Axial Fusion Transformer UNet for Medical Image Segmentation. 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 3270–3280. 100 indexed citations
7.
Sun, Shanlin, Kun Yeun Han, Deying Kong, et al.. (2022). Topology-Preserving Shape Reconstruction and Registration via Neural Diffeomorphic Flow. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 20813–20823. 18 indexed citations
8.
Tang, Hao, et al.. (2021). Recurrent Mask Refinement for Few-Shot Medical Image Segmentation. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 3898–3908. 76 indexed citations
9.
Ma, Haoyu, Liangjian Chen, Deying Kong, et al.. (2021). TransFusion: Cross-view Fusion with Transformer for 3D Human Pose Estimation. 2 indexed citations
10.
Ma, Haoyu, et al.. (2020). Nonparametric Structure Regularization Machine for 2D Hand Pose Estimation. 370–379. 26 indexed citations
11.
Kong, Deying, Yifei Chen, Haoyu Ma, Xiangyi Yan, & Xiaohui Xie. (2019). Adaptive Graphical Model Network for 2D Handpose Estimation.. British Machine Vision Conference. 83. 3 indexed citations
12.
Yan, Xiangyi. (2013). Algorithm Research in Acceleration and Deceleration of Stepper Motor.

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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