Yan Kang

685 citations
63 papers · 456 indexed · h-index 11
Topics
Medical Imaging Techniques and Applications (13 papers)Advanced X-ray and CT Imaging (13 papers)Medical Image Segmentation Techniques (8 papers)

In The Last Decade

Yan Kang

60 papers receiving 446 citations

Peers

Yan Kang
Comparison fields: 5 of 92
  • Radiology, Nuclear Medicine and Imaging 203
  • Computer Vision and Pattern Recognition 127
  • Biomedical Engineering 100
  • Artificial Intelligence 59
  • Electrical and Electronic Engineering 50
Replace Felix Ritter with:
Felix Ritter Germany
Grzegorz Soza Germany
Florian Link Germany
Matthew McCormick United States
Nicholas Dowson Australia
Daniel Goldberg‐Zimring United States
Xiaodong Guo China
Juan J. Cerrolaza United States
Carole Frindel France
Yan Kang relative to Felix Ritter Germany Felix Ritter's profile →
Citations per field
00.5×3.6×
Felix Ritter · 1×
Citations per year

Countries citing papers authored by Yan Kang

Since Specialization
Citations

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

Fields of papers citing papers by Yan Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Kang. A scholar is included among the top collaborators of Yan Kang 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 Yan Kang. Yan Kang 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
#WorkIndexed citations
1 1
2 1
3 5
4 6
5 16
6 4
7 20
8 11
9 45
10 7
11 72
12 1
13 4
14 1
15 3
16 5
17 4
18
Application of Ant Colony Optimization in Estimating Motion Vectors of Ultrasound Images
2
19 1
20 2

About Yan Kang

Yan Kang is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Computer Graphics and Computer-Aided Design, having authored 63 papers that have together received 456 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (13 papers), Advanced X-ray and CT Imaging (13 papers) and Medical Image Segmentation Techniques (8 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (203 citations), Computer Vision and Pattern Recognition (127 citations) and Radiation (33 citations). Yan Kang has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include E. Mark Haacke, Saifeng Liu, Yongsheng Chen, Yu Wang, Hao Hao, Xiangnan Xie, Yabo Chen, Tao Xu, Tian Jiang and Yinlong Tan. Their work appears in journals such as Advanced Materials, IEEE Access and Physics in Medicine and Biology.

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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