Yuhua Chen

4.1k total citations · 1 hit paper
37 papers, 858 citations indexed

About

Yuhua Chen is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Yuhua Chen has authored 37 papers receiving a total of 858 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Radiology, Nuclear Medicine and Imaging, 15 papers in Computer Vision and Pattern Recognition and 5 papers in Artificial Intelligence. Recurrent topics in Yuhua Chen's work include Advanced MRI Techniques and Applications (12 papers), Medical Imaging Techniques and Applications (10 papers) and Cardiac Imaging and Diagnostics (7 papers). Yuhua Chen is often cited by papers focused on Advanced MRI Techniques and Applications (12 papers), Medical Imaging Techniques and Applications (10 papers) and Cardiac Imaging and Diagnostics (7 papers). Yuhua Chen collaborates with scholars based in United States, China and Switzerland. Yuhua Chen's co-authors include Jinhong Deng, Li Wen, Lixin Duan, Cordelia Schmid, Cristian Sminchisescu, Debiao Li, Paula J. Foster, Luc Van Gool, Yibin Xie and Zhaoyang Fan and has published in prestigious journals such as PLoS ONE, Advanced Functional Materials and Magnetic Resonance in Medicine.

In The Last Decade

Yuhua Chen

36 papers receiving 841 citations

Hit Papers

Unbiased Mean Teacher for Cross-domain Object Detection 2021 2026 2022 2024 2021 50 100 150 200
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.

  1. Unbiased Mean Teacher for Cross-domain Object Detection
    2021 232 citations Yuhua Chen et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuhua Chen United States 14 470 263 207 115 91 37 858
Binjie Qin China 14 226 0.5× 351 1.3× 158 0.8× 65 0.6× 24 0.3× 37 759
Yun Jiang China 18 471 1.0× 577 2.2× 341 1.6× 24 0.2× 22 0.2× 64 1.3k
Walter Blondel France 17 428 0.9× 133 0.5× 68 0.3× 45 0.4× 98 1.1× 86 950
Zhe Guo China 10 134 0.3× 217 0.8× 117 0.6× 39 0.3× 11 0.1× 36 576
Xiao Jin China 13 223 0.5× 146 0.6× 52 0.3× 45 0.4× 22 0.2× 34 548
Sir Michael Brady United Kingdom 10 486 1.0× 416 1.6× 106 0.5× 38 0.3× 86 0.9× 30 839
Changyang Li Australia 14 389 0.8× 153 0.6× 208 1.0× 85 0.7× 18 0.2× 35 734
Salman Khan United Arab Emirates 6 244 0.5× 299 1.1× 249 1.2× 45 0.4× 14 0.2× 18 742
Christoph Brüne Netherlands 15 174 0.4× 181 0.7× 74 0.4× 30 0.3× 18 0.2× 47 743
Fábio J. Ayres Canada 16 438 0.9× 366 1.4× 429 2.1× 62 0.5× 8 0.1× 42 954

Countries citing papers authored by Yuhua Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yuhua Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuhua Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Yuhua Chen. A scholar is included among the top collaborators of Yuhua Chen 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 Yuhua Chen. Yuhua Chen 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.
Di, Yi‐Ming, Yuhua Chen, S. C. Yuan, et al.. (2025). Crown Ether‐Assisted Alkali‐Metal Copper(I) Iodide Supramolecular Scintillators with Near‐Unity Emission for Ultrahigh‐Resolution X‐Ray Imaging. Advanced Functional Materials. 35(33). 8 indexed citations
2.
Chen, Yuhua, Guozhen Zhang, Fuhai Chen, et al.. (2024). Halogen-bonded charge-transfer co-crystal scintillators for high-resolution X-ray imaging. Chemical Science. 15(20). 7659–7666. 13 indexed citations
3.
Hoyer, Lukas, et al.. (2023). Improving Semi-Supervised and Domain-Adaptive Semantic Segmentation with Self-Supervised Depth Estimation. International Journal of Computer Vision. 131(8). 2070–2096. 16 indexed citations
4.
5.
Chen, Yuhua, Sen Ma, Zhaoyang Fan, et al.. (2021). Multiparametric mapping in the brain from conventional contrast‐weighted images using deep learning. Magnetic Resonance in Medicine. 87(1). 488–495. 11 indexed citations
6.
Gong, Rui, Dengxin Dai, Yuhua Chen, et al.. (2021). Analogical Image Translation for Fog Generation. Proceedings of the AAAI Conference on Artificial Intelligence. 35(2). 1433–1441. 11 indexed citations
7.
Hsiao, Wen-Yi, et al.. (2021). Source Separation-based Data Augmentation for Improved Joint Beat and Downbeat Tracking. 2021 29th European Signal Processing Conference (EUSIPCO). 391–395. 6 indexed citations
8.
Chen, Xiaoran, et al.. (2020). Towards Good Practice for CNN-Based Monocular Depth Estimation. 1080–1089. 34 indexed citations
9.
Chen, Yuhua, Dan Ruan, Jiayu Xiao, et al.. (2020). Fully automated multiorgan segmentation in abdominal magnetic resonance imaging with deep neural networks. Medical Physics. 47(10). 4971–4982. 74 indexed citations
10.
11.
Wang, Jiancong, Yuhua Chen, Yifan Wu, Jianbo Shi, & James C. Gee. (2020). Enhanced generative adversarial network for 3D brain MRI super-resolution. 3616–3625. 46 indexed citations
12.
Chen, Yuhua, Jaime L. Shaw, Yibin Xie, Debiao Li, & Anthony Christodoulou. (2019). Deep Learning Within a Priori Temporal Feature Spaces for Large-Scale Dynamic MR Image Reconstruction: Application to 5-D Cardiac MR Multitasking. Lecture notes in computer science. 11765. 495–504. 21 indexed citations
13.
Chen, Yuhua, Cordelia Schmid, & Cristian Sminchisescu. (2019). Self-Supervised Learning With Geometric Constraints in Monocular Video: Connecting Flow, Depth, and Camera. 7062–7071. 143 indexed citations
14.
Chen, Yuhua, Jianing Pang, Yibin Xie, et al.. (2016). Fully automated left ventricle function analysis with self-gated 4D MRI. Journal of Cardiovascular Magnetic Resonance. 18. P37–P37. 2 indexed citations
15.
Siegers, Gabrielle M., et al.. (2016). Pre-Labeling of Immune Cells in Normal Bone Marrow and Spleen for Subsequent Cell Tracking by MRI. Tomography. 2(1). 26–34. 4 indexed citations
16.
Dai, Dengxin, Yujian Wang, Yuhua Chen, & Luc J. Van Gool. (2015). How Useful Is Image Super-resolution to Other Vision Tasks?. arXiv (Cornell University). 1 indexed citations
17.
Gaudet, Jeffrey M., Emeline J. Ribot, Yuhua Chen, Kyle M. Gilbert, & Paula J. Foster. (2015). Tracking the Fate of Stem Cell Implants with Fluorine-19 MRI. PLoS ONE. 10(3). e0118544–e0118544. 62 indexed citations
18.
Hu, Kai, et al.. (2015). Role of matrix metalloproteinases in radiation-induced lung injury in alveolar epithelial cells of Bama minipigs. Experimental and Therapeutic Medicine. 10(4). 1437–1444. 11 indexed citations
19.
Chen, Yuhua, et al.. (2011). Cone-beam computed tomography reconstruction accelerated with CUDA. 42. 214–218. 4 indexed citations
20.
Chen, Yuhua, et al.. (2011). Improve on frequent access path algorithm in web page personalized recommendation model. 30. 83–86. 1 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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