Yuqian Fu

420 total citations
14 papers, 237 citations indexed

About

Yuqian Fu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Yuqian Fu has authored 14 papers receiving a total of 237 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Yuqian Fu's work include Domain Adaptation and Few-Shot Learning (7 papers), Multimodal Machine Learning Applications (4 papers) and COVID-19 diagnosis using AI (4 papers). Yuqian Fu is often cited by papers focused on Domain Adaptation and Few-Shot Learning (7 papers), Multimodal Machine Learning Applications (4 papers) and COVID-19 diagnosis using AI (4 papers). Yuqian Fu collaborates with scholars based in China, Switzerland and Bulgaria. Yuqian Fu's co-authors include Yanwei Fu, Yu–Gang Jiang, Jingjing Chen, Li Zhang, Junke Wang, Yu Xie, Yu-Xiong Wang, Chengrong Wang, Cong Bai and Xiangyang Xue and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Yuqian Fu

13 papers receiving 236 citations

Peers

Yuqian Fu

AI

CVPR

RNMI

EDM

OE

Guoqiang Wei China

Yuliang Zou United States

Mamshad Nayeem Rizve United States

Xinzhe Li China

Zheng Shou China

Yunhao Ge United States

Yucen Luo China

Zhe Xu China

Xiangyi Yan United States

Minki Jeong South Korea

Guoqiang Wei China

Yuqian Fu

103 ×0.5

AI

198 ×1.4

CVPR

13 ×0.3

RNMI

7 ×0.3

EDM

8 ×0.4

OE

Citations per year, relative to Yuqian Fu Yuqian Fu (= 1×) peers Guoqiang Wei

Countries citing papers authored by Yuqian Fu

Since Specialization

Citations

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

Fields of papers citing papers by Yuqian Fu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuqian Fu

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

All Works

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14 of 14 papers shown

1.

Zhang, Xiaoming, Linze Li, Yuqian Fu, et al.. (2025). MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution. IEEE Transactions on Circuits and Systems for Video Technology. 35(9). 8945–8957. 1 indexed citations

2.

Sakaridis, Christos, et al.. (2025). CAFuser: Condition-Aware Multimodal Fusion for Robust Semantic Perception of Driving Scenes. IEEE Robotics and Automation Letters. 10(4). 3134–3141. 2 indexed citations

3.

Fu, Yanwei, et al.. (2025). MinD-3D++: Advancing fMRI-Based 3D Reconstruction With High-Quality Textured Mesh Generation and a Comprehensive Dataset. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(12). 11802–11816.

4.

Tian, Wentao, et al.. (2024). Open-Vocabulary Video Relation Extraction. Proceedings of the AAAI Conference on Artificial Intelligence. 38(6). 5215–5223. 1 indexed citations

5.

Liu, Tong, et al.. (2024). Test-Time Linear Out-of-Distribution Detection. 23752–23761. 2 indexed citations

6.

Fu, Yuqian, et al.. (2024). Unified View Empirical Study for Large Pretrained Model on Cross-Domain Few-Shot Learning. ACM Transactions on Multimedia Computing Communications and Applications. 20(9). 1–18. 2 indexed citations

7.

Fu, Yuqian, Xingjun Ma, Lizhe Qi, et al.. (2023). On the Importance of Spatial Relations for Few-shot Action Recognition. 2243–2251. 7 indexed citations

8.

Fu, Yuqian, Yu Xie, Yanwei Fu, & Yu–Gang Jiang. (2023). StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning. 24575–24584. 44 indexed citations

9.

Fu, Yuqian, Yanwei Fu, Jingjing Chen, & Yu–Gang Jiang. (2022). Generalized Meta-FDMixup: Cross-Domain Few-Shot Learning Guided by Labeled Target Data. IEEE Transactions on Image Processing. 31. 7078–7090. 23 indexed citations

10.

Fu, Yuqian, et al.. (2022). ME-D2N: Multi-Expert Domain Decompositional Network for Cross-Domain Few-Shot Learning. Proceedings of the 30th ACM International Conference on Multimedia. 6609–6617. 12 indexed citations

11.

Zhuo, Linhai, Yuqian Fu, Jingjing Chen, Yixin Cao, & Yu–Gang Jiang. (2022). TGDM: Target Guided Dynamic Mixup for Cross-Domain Few-Shot Learning. Proceedings of the 30th ACM International Conference on Multimedia. 6368–6376. 10 indexed citations

12.

Fu, Yuqian, et al.. (2021). Meta-FDMixup. 5326–5334. 50 indexed citations

13.

Fu, Yuqian, Li Zhang, Junke Wang, Yanwei Fu, & Yu–Gang Jiang. (2020). Depth Guided Adaptive Meta-Fusion Network for Few-shot Video Recognition. 1142–1151. 58 indexed citations

14.

Fu, Yuqian, Chengrong Wang, Yanwei Fu, et al.. (2019). Embodied One-Shot Video Recognition. 411–419. 25 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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