Kai Jin

5.0k total citations · 1 hit paper
150 papers, 3.4k citations indexed

About

Kai Jin is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology and Biomedical Engineering. According to data from OpenAlex, Kai Jin has authored 150 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Radiology, Nuclear Medicine and Imaging, 57 papers in Ophthalmology and 23 papers in Biomedical Engineering. Recurrent topics in Kai Jin's work include Retinal Imaging and Analysis (56 papers), Retinal Diseases and Treatments (32 papers) and Retinal and Optic Conditions (30 papers). Kai Jin is often cited by papers focused on Retinal Imaging and Analysis (56 papers), Retinal Diseases and Treatments (32 papers) and Retinal and Optic Conditions (30 papers). Kai Jin collaborates with scholars based in China, United States and Singapore. Kai Jin's co-authors include Juan Ye, Zhiqing Pang, Zimiao Luo, Bo Zhang, Lixia Lou, Dahong Qian, Juan Ye, Shaoze Wang, Juan Ye and Ting Jiang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Kai Jin

137 papers receiving 3.3k citations

Hit Papers

FIVES: A Fundus Image Dataset for Artificial Intelligence... 2022 2026 2023 2024 2022 25 50 75

Peers

Kai Jin
Comparison fields: 5 of 169
  • Radiology, Nuclear Medicine and Imaging 1.1k
  • Ophthalmology 777
  • Biomedical Engineering 760
  • Molecular Biology 619
  • Biomaterials 507
Replace Makoto Nagata with:
Makoto Nagata Japan
Jyotirmoy Chatterjee India
Kwang Gi Kim South Korea
Ji Yi United States
Qi Yan China
Quan Liu China
Ronald X. Xu China
Linbo Liu Singapore
Siping Chen China
Harvey Lui Canada
Makoto Nagata Japan View profile →
Citations per field, relative to Kai Jin
Kai Jin · 1×
Citations per year, relative to Kai Jin
Kai Jin · 1×

Countries citing papers authored by Kai Jin

Since Specialization
Citations

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

Fields of papers citing papers by Kai Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Jin. A scholar is included among the top collaborators of Kai Jin 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 Kai Jin. Kai Jin 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
# Work Indexed citations
1 6
2 0
3 0
4 0
5 1
6 8
7 2
8 3
9 1
10 2
11 24
12 3
13 5
14 5
15 26
16 22
17 55
18 83
19 56
20 80

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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