Boyuan Jiang

1.2k total citations · 1 hit paper
20 papers, 668 citations indexed

About

Boyuan Jiang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Boyuan Jiang has authored 20 papers receiving a total of 668 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 3 papers in Control and Systems Engineering. Recurrent topics in Boyuan Jiang's work include Human Pose and Action Recognition (5 papers), Advanced Vision and Imaging (4 papers) and Multimodal Machine Learning Applications (3 papers). Boyuan Jiang is often cited by papers focused on Human Pose and Action Recognition (5 papers), Advanced Vision and Imaging (4 papers) and Multimodal Machine Learning Applications (3 papers). Boyuan Jiang collaborates with scholars based in China, United States and Germany. Boyuan Jiang's co-authors include Wei Wu, Junjie Yan, Weihao Gan, Mengmeng Wang, Xinyu Jin, Chao Chen, Zhihong Chen, Donghao Luo, Ying Tai and Chengjie Wang and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Visualization and Computer Graphics and Neural Computing and Applications.

In The Last Decade

Boyuan Jiang

19 papers receiving 651 citations

Hit Papers

STM: SpatioTemporal and Motion Encoding for Action Recogn... 2019 2026 2021 2023 2019 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
Boyuan Jiang China 9 526 359 107 47 43 20 668
Pengxu Wei China 13 354 0.7× 210 0.6× 44 0.4× 32 0.7× 21 0.5× 41 522
Tianjian Meng United States 3 459 0.9× 193 0.5× 46 0.4× 17 0.4× 12 0.3× 4 587
Tianyu Yang China 9 430 0.8× 189 0.5× 47 0.4× 14 0.3× 10 0.2× 19 506
Min-Hung Chen United States 7 321 0.6× 192 0.5× 65 0.6× 29 0.6× 14 0.3× 13 375
Ziqi Zhang China 8 632 1.2× 319 0.9× 306 2.9× 142 3.0× 18 0.4× 16 798
Chun-Hao P. Huang Germany 9 359 0.7× 79 0.2× 46 0.4× 43 0.9× 85 2.0× 26 463
Debidatta Dwibedi United States 7 245 0.5× 258 0.7× 25 0.2× 9 0.2× 47 1.1× 9 416
Yifei Huang Japan 10 296 0.6× 213 0.6× 34 0.3× 40 0.9× 45 1.0× 32 414
Seokeon Choi South Korea 8 662 1.3× 258 0.7× 171 1.6× 31 0.7× 5 0.1× 13 774

Countries citing papers authored by Boyuan Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Boyuan Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Boyuan Jiang

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

All Works

20 of 20 papers shown
1.
Liang, Yujie, Xiaobin Hu, Boyuan Jiang, et al.. (2025). VTON-HandFit: Virtual Try-on for Arbitrary Hand Pose Guided by Hand Priors Embedding. 22616–22626.
2.
Shi, Yukai, Jun‐Yu Ou, Rui Chen, et al.. (2025). Koala-36M : A Large-Scale Video Dataset Improving Consistency between Fine-Grained Conditions and Video Content. 8428–8437. 2 indexed citations
3.
Xu, Pengcheng, Boyuan Jiang, Xiaobin Hu, et al.. (2025). Unveil Inversion and Invariance in Flow Transformer for Versatile Image Editing. 28479–28489. 1 indexed citations
4.
Luo, Donghao, Yujie Liang, Xiaobin Hu, et al.. (2025). CrossVTON: Mimicking the Logic Reasoning on Cross-Category Virtual Try-On Guided by Tri-Zone Priors. 1711–1719. 1 indexed citations
5.
Xu, Peng, Junwei Zhu, Boyuan Jiang, et al.. (2024). PortraitBooth: A Versatile Portrait Model for Fast Identity-Preserved Personalization. 27070–27080. 8 indexed citations
6.
Wang, Mengmeng, Jiazheng Xing, Boyuan Jiang, et al.. (2024). A Multimodal, Multi-Task Adapting Framework for Video Action Recognition. Proceedings of the AAAI Conference on Artificial Intelligence. 38(6). 5517–5525. 8 indexed citations
7.
Jiang, Boyuan, Donghao Luo, Wenqing Chu, et al.. (2023). Dynamic Frame Interpolation in Wavelet Domain. IEEE Transactions on Image Processing. 32. 5296–5309. 2 indexed citations
8.
Jiang, Boyuan, Lei Hu, & Shihong Xia. (2023). Probabilistic Triangulation for Uncalibrated Multi-View 3D Human Pose Estimation. 14804–14814. 7 indexed citations
9.
Hu, Lei, et al.. (2023). Pose-Aware Attention Network for Flexible Motion Retargeting by Body Part. IEEE Transactions on Visualization and Computer Graphics. 30(8). 4792–4808. 9 indexed citations
10.
Jiang, Boyuan, Donghao Luo, Wenqing Chu, et al.. (2022). IFRNet: Intermediate Feature Refine Network for Efficient Frame Interpolation. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 1959–1968. 87 indexed citations
11.
Li, Xin, Dayong Jin, Liyao Liu, et al.. (2021). Quantitative susceptibility mapping to evaluate brain iron deposition and its correlation with physiological parameters in hypertensive patients. Annals of Translational Medicine. 9(20). 1582–1582. 5 indexed citations
12.
Jiang, Boyuan, et al.. (2021). Imputation of Missing Traffic Flow Data Using Denoising Autoencoders. Procedia Computer Science. 184. 84–91. 10 indexed citations
13.
Jiang, Boyuan, Donghao Luo, Junchi Yan, et al.. (2021). Learning Comprehensive Motion Representation for Action Recognition. Proceedings of the AAAI Conference on Artificial Intelligence. 35(4). 2934–2942. 7 indexed citations
14.
Yan, Jingwei, Boyuan Jiang, Jingjing Wang, et al.. (2021). Multi-Level Adaptive Region of Interest and Graph Learning for Facial Action Unit Recognition. 10. 2005–2009. 3 indexed citations
15.
Jiang, Boyuan, et al.. (2021). Hyperparameter Tuning to Optimize Implementations of Denoising Autoencoders for Imputation of Missing Spatio-temporal Data. Procedia Computer Science. 184. 107–114. 2 indexed citations
16.
Chen, Zhihong, et al.. (2020). Selective Transfer With Reinforced Transfer Network for Partial Domain Adaptation. 12703–12711. 44 indexed citations
17.
Jiang, Boyuan, Mengmeng Wang, Weihao Gan, Wei Wu, & Junjie Yan. (2019). STM: SpatioTemporal and Motion Encoding for Action Recognition. 2000–2009. 291 indexed citations breakdown →
18.
Chen, Chao, Zhihong Chen, Boyuan Jiang, & Xinyu Jin. (2019). Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 3296–3303. 165 indexed citations
19.
Chen, Chao, Xinyu Jin, Boyuan Jiang, & Lanjuan Li. (2018). Optimizing Extreme Learning Machine via Generalized Hebbian Learning and Intrinsic Plasticity Learning. Neural Processing Letters. 49(3). 1593–1609. 8 indexed citations
20.
Jiang, Boyuan, Chao Chen, & Xinyu Jin. (2018). Unsupervised domain adaptation with target reconstruction and label confusion in the common subspace. Neural Computing and Applications. 32(9). 4743–4756. 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.

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