Yunlu Yan

538 total citations · 1 hit paper
6 papers, 213 citations indexed

About

Yunlu Yan is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Neurology. According to data from OpenAlex, Yunlu Yan has authored 6 papers receiving a total of 213 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Artificial Intelligence and 2 papers in Neurology. Recurrent topics in Yunlu Yan's work include Privacy-Preserving Technologies in Data (3 papers), MRI in cancer diagnosis (2 papers) and Medical Imaging Techniques and Applications (2 papers). Yunlu Yan is often cited by papers focused on Privacy-Preserving Technologies in Data (3 papers), MRI in cancer diagnosis (2 papers) and Medical Imaging Techniques and Applications (2 papers). Yunlu Yan collaborates with scholars based in China, Singapore and Hong Kong. Yunlu Yan's co-authors include Yong Xu, Chun-Mei Feng, Ling Shao, Huazhu Fu, Geng Chen, Shanshan Wang, Jian Yang, Kai Yu, Yuexiang Li and Yawen Huang and has published in prestigious journals such as IEEE Transactions on Medical Imaging, IEEE Transactions on Neural Networks and Learning Systems and IEEE Journal of Biomedical and Health Informatics.

In The Last Decade

Yunlu Yan

6 papers receiving 210 citations

Hit Papers

align trajectories

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.

Multimodal Transformer for Accelerated MR Imaging

2022 107 citations Chun-Mei Feng, Yunlu Yan et al. IEEE Transactions on Medical Imaging profile →

Peers

Yunlu Yan

RNMI

CVPR

AI

BE

NEURO

Carlos Tor-Díez France

Yinzhe Wu United Kingdom

Amirali Molaei Iran

Yılmaz Korkmaz Türkiye

Taohui Xiao China

Yinghua Fu China

Kyuseok Kim South Korea

Worku Jifara China

Dinggang Shen United States

Neerav Karani Switzerland

Carlos Tor-Díez France

Yunlu Yan

103 ×0.9

RNMI

127 ×1.5

CVPR

32 ×0.5

AI

28 ×0.5

BE

17 ×0.7

NEURO

Citations per year, relative to Yunlu Yan Yunlu Yan (= 1×) peers Carlos Tor-Díez

Countries citing papers authored by Yunlu Yan

Since Specialization

Citations

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

Fields of papers citing papers by Yunlu Yan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunlu Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Yunlu Yan. A scholar is included among the top collaborators of Yunlu 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 Yunlu Yan. Yunlu 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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6 of 6 papers shown

1.

Yan, Yunlu, Chun-Mei Feng, Yuexiang Li, et al.. (2025). Federated Pseudo Modality Generation for Incomplete Multi-Modal MRI Reconstruction. IEEE Journal of Biomedical and Health Informatics. 29(8). 5849–5861. 1 indexed citations

2.

Yan, Yunlu, Huazhu Fu, Yuexiang Li, et al.. (2025). A Simple Data Augmentation for Feature Distribution Skewed Federated Learning. 25749–25758. 1 indexed citations

3.

Feng, Chun-Mei, Yunlu Yan, Kai Yu, et al.. (2024). Exploring Separable Attention for Multi-Contrast MR Image Super-Resolution. IEEE Transactions on Neural Networks and Learning Systems. 35(9). 12251–12262. 26 indexed citations

4.

Yan, Yunlu, Hong Wang, Yawen Huang, et al.. (2024). Cross-Modal Vertical Federated Learning for MRI Reconstruction. IEEE Journal of Biomedical and Health Informatics. 28(11). 6384–6394. 8 indexed citations

5.

Feng, Chun-Mei, Yunlu Yan, Shanshan Wang, et al.. (2023). Specificity-Preserving Federated Learning for MR Image Reconstruction. IEEE Transactions on Medical Imaging. 42(7). 2010–2021. 70 indexed citations

6.

Feng, Chun-Mei, Yunlu Yan, Geng Chen, et al.. (2022). Multimodal Transformer for Accelerated MR Imaging. IEEE Transactions on Medical Imaging. 42(10). 2804–2816. 107 indexed citations breakdown →

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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