Junyu Chen

1.1k total citations · 1 hit paper
6 papers, 555 citations indexed

About

Junyu Chen is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Neurology. According to data from OpenAlex, Junyu Chen has authored 6 papers receiving a total of 555 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Neurology. Recurrent topics in Junyu Chen's work include Medical Imaging Techniques and Applications (4 papers), Medical Image Segmentation Techniques (3 papers) and Radiation Dose and Imaging (2 papers). Junyu Chen is often cited by papers focused on Medical Imaging Techniques and Applications (4 papers), Medical Image Segmentation Techniques (3 papers) and Radiation Dose and Imaging (2 papers). Junyu Chen collaborates with scholars based in United States, China and Canada. Junyu Chen's co-authors include Yong Du, Ye Li, Eric C. Frey, W. Paul Segars, Yufan He, S. Kevin Zhou, Ce Wang, Yucheng Tang, Bennett A. Landman and Aaron Carass and has published in prestigious journals such as Medical Physics, Medical Image Analysis and Journal of Visual Communication and Image Representation.

In The Last Decade

Junyu Chen

6 papers receiving 543 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.

TransMorph: Transformer for unsupervised medical image registration

2022 320 citations Junyu Chen, Eric C. Frey et al. Medical Image Analysis profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Junyu Chen United States	5	311	253	165	139	99	6	555
Zhentai Lu China	14	316 1.0×	258 1.0×	100 0.6×	157 1.1×	121 1.2×	51	588
Dzhoshkun I. Shakir United Kingdom	9	160 0.5×	221 0.9×	105 0.6×	131 0.9×	60 0.6×	22	532
Hessam Sokooti Netherlands	6	346 1.1×	341 1.3×	169 1.0×	86 0.6×	42 0.4×	8	609
Lucas Fidon United Kingdom	6	138 0.4×	216 0.9×	84 0.5×	131 0.9×	60 0.6×	13	447
Bartłomiej W. Papież United Kingdom	12	249 0.8×	258 1.0×	112 0.7×	57 0.4×	31 0.3×	38	458
Yeqin Shao China	12	204 0.7×	204 0.8×	163 1.0×	91 0.7×	28 0.3×	38	458
Youngjin Yoo Canada	13	228 0.7×	388 1.5×	101 0.6×	203 1.5×	155 1.6×	30	748
Bo Zhan China	10	244 0.8×	226 0.9×	87 0.5×	167 1.2×	59 0.6×	16	493
Xabier Artaechevarria Spain	7	297 1.0×	189 0.7×	81 0.5×	55 0.4×	70 0.7×	10	563
Manav Bhushan United Kingdom	3	415 1.3×	294 1.2×	135 0.8×	61 0.4×	21 0.2×	4	622

Countries citing papers authored by Junyu Chen

Since Specialization

Citations

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

Fields of papers citing papers by Junyu Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junyu Chen

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

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Wang, Zekun, Yanni Zou, Hongyu Chen, Peter Liu, & Junyu Chen. (2024). Multi-scale features and attention guided for brain tumor segmentation. Journal of Visual Communication and Image Representation. 100. 104141–104141. 7 indexed citations

2.

Chen, Junyu, et al.. (2024). A survey on deep learning in medical image registration: New technologies, uncertainty, evaluation metrics, and beyond. Medical Image Analysis. 100. 103385–103385. 32 indexed citations

3.

Li, Ye, Jingyan Xu, Junyu Chen, et al.. (2023). Girth‐based administered activity for pediatric^99mTc‐DMSA SPECT. Medical Physics. 51(2). 1019–1033. 1 indexed citations

4.

Chen, Junyu, et al.. (2023). Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives. Medical Image Analysis. 85. 102762–102762. 189 indexed citations

5.

Chen, Junyu, Eric C. Frey, Yufan He, et al.. (2022). TransMorph: Transformer for unsupervised medical image registration. Medical Image Analysis. 82. 102615–102615. 320 indexed citations breakdown →

6.

Li, Ye, Junyu Chen, S. Ted Treves, et al.. (2021). DeepAMO: a multi-slice, multi-view anthropomorphic model observer for visual detection tasks performed on volume images. Journal of Medical Imaging. 8(4). 41204–41204. 6 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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