Kejuan Yue

739 citations
17 papers · 400 indexed · 1 hit paper · h-index 7
Topics
Retinal Imaging and Analysis (12 papers)Glaucoma and retinal disorders (7 papers)Digital Imaging for Blood Diseases (5 papers)

In The Last Decade

Kejuan Yue

17 papers receiving 385 citations

Hit Papers

Segment anything model for medical images?2023202620242025202350100150200

Peers

Kejuan Yue
Comparison fields: 5 of 76
  • Radiology, Nuclear Medicine and Imaging 241
  • Computer Vision and Pattern Recognition 203
  • Ophthalmology 120
  • Artificial Intelligence 87
  • Neurology 38
Replace Soochahn Lee with:
Soochahn Lee South Korea
Khin Yadanar Win Thailand
Yangqin Feng Singapore
Zaiwang Gu China
Hongyu Kong China
Yanda Meng United Kingdom
Pierre-Henri Conze France
Andres Diaz‐Pinto United Kingdom
Peyman Hosseinzadeh Kassani United States
André M. Santana Brazil
Kejuan Yue relative to Soochahn Lee South Korea Soochahn Lee's profile →
Citations per field
00.5×2.6×
Soochahn Lee · 1×
Citations per year

Countries citing papers authored by Kejuan Yue

Since Specialization
Citations

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

Fields of papers citing papers by Kejuan Yue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kejuan Yue

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 2
2 1
3 1
4 27
5 4
6 1
7
Segment anything model for medical images?breakdown →
215
8 3
9 4
10 15
11 22
12 22
13 3
14 3
15 69
16 6
17 2

About Kejuan Yue

Kejuan Yue is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 17 papers that have together received 400 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (12 papers), Glaucoma and retinal disorders (7 papers) and Digital Imaging for Blood Diseases (5 papers). The work is most often cited by research in Ophthalmology (120 citations), Radiology, Nuclear Medicine and Imaging (241 citations) and Computer Vision and Pattern Recognition (203 citations). Kejuan Yue has collaborated with scholars based in China, Finland and United States. Frequent co-authors include Zailiang Chen, Qing Liu, Beiji Zou, Guoying Zhao, Yuhao Huang, Xin Yang, Chaoyu Chen, Dong Ni, Xindi Hu and Jie Chen. Their work appears in journals such as Scientific Reports, Journal of Investigative Dermatology and Medical Image Analysis.

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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