Hanshu Yan

655 total citations · 1 hit paper
11 papers, 235 citations indexed

About

Hanshu Yan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Hanshu Yan has authored 11 papers receiving a total of 235 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Hanshu Yan's work include Domain Adaptation and Few-Shot Learning (4 papers), Multimodal Machine Learning Applications (3 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). Hanshu Yan is often cited by papers focused on Domain Adaptation and Few-Shot Learning (4 papers), Multimodal Machine Learning Applications (3 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). Hanshu Yan collaborates with scholars based in Singapore, China and Japan. Hanshu Yan's co-authors include Roger Zimmermann, Jiashi Feng, Changhu Wang, Henghui Ding, Jun Hao Liew, Jian Liang, Dapeng Hu, Vincent Y. F. Tan, Qibin Hou and Yunpeng Chen and has published in prestigious journals such as Analytical Chemistry, IEEE Transactions on Image Processing and Neural Networks.

In The Last Decade

Hanshu Yan

11 papers receiving 233 citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

DragDiffusion: Harnessing Diffusion Models for Interactive Point-Based Image Editing

2024 43 citations Yujun Shi, Chuhui Xue et al. profile →

Peers

Countries citing papers authored by Hanshu Yan

Since Specialization

Citations

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

Fields of papers citing papers by Hanshu Yan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hanshu Yan

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

All Works

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11 of 11 papers shown

#	Work	Indexed citations
1	DiG: Scalable and Efficient Diffusion Models with Gated Linear Attention 2025 ·Lianghui Zhu, (unknown), Bencheng Liao, (unknown), Hanshu Yan, Jiashi Feng, Xinggang Wang	2
2	DragDiffusion: Harnessing Diffusion Models for Interactive Point-Based Image Editing breakdown → 2024 ·Yujun Shi, Chuhui Xue, Jun Hao Liew, (unknown), Hanshu Yan, Wenqing Zhang, Vincent Y. F. Tan, Song Bai	43
3	MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model 2024 ·Zhongcong Xu, Jianfeng Zhang, Jun Hao Liew, Hanshu Yan, Jiawei Liu, Chenxu Zhang, (unknown), Mike Zheng Shou	26
4	Learning a robust foundation model against clean-label data poisoning attacks at downstream tasks 2023 ·Neural Networks ·(unknown), Hanshu Yan, Bo Han, Lei Liu, Jingfeng Zhang	4
5	Towards Adversarially Robust Deep Image Denoising 2022 ·Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence ·Hanshu Yan, Jingfeng Zhang, Jiashi Feng, Masashi Sugiyama, Vincent Y. F. Tan	9
6	Towards Understanding Why Lookahead Generalizes Better Than SGD and Beyond 2021 ·Singapore Management University Institutional Knowledge (InK) (Singapore Management University) ·Pan Zhou, Hanshu Yan, Xiao–Tong Yuan, Jiashi Feng, Shuicheng Yan	1
7	Recovering the Unbiased Scene Graphs from the Biased Ones 2021 ·(unknown), Henghui Ding, Hanshu Yan, Changhu Wang, Roger Zimmermann, Jiashi Feng	61
8	Adversarial Domain Adaptation With Prototype-Based Normalized Output Conditioner 2021 ·IEEE Transactions on Image Processing ·Dapeng Hu, Jian Liang, Qibin Hou, Hanshu Yan, Yunpeng Chen	33
9	Modeling Trajectories with Neural Ordinary Differential Equations 2021 ·Yuxuan Liang, Kun Ouyang, Hanshu Yan, Yiwei Wang, Zekun Tong, Roger Zimmermann	26
10	Deep Learning-Guided Fiberoptic Raman Spectroscopy Enables Real-Time In Vivo Diagnosis and Assessment of Nasopharyngeal Carcinoma and Post-treatment Efficacy during Endoscopy 2021 ·Analytical Chemistry ·Chi Shu, Hanshu Yan, Wei Zheng, Kan Lin, Anne James, Sathiyamoorthy Selvarajan, Chwee Ming Lim, Zhiwei Huang	26
11	PANDA: Prototypical Unsupervised Domain Adaptation. 2020 ·Dapeng Hu, Jian Liang, Qibin Hou, Hanshu Yan, Yunpeng Chen, Shuicheng Yan, Jiashi Feng	4

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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