Kai Jin

5.3k citations
158 papers · 3.8k · 1 hit paper · h-index 33

Impact in

Papers in

Kai Jin

145 papers receiving 3.7k citations

Kai Jin's Hit Papers

FIVES: A Fundus Image Dataset for Artificial Intelligence based Vessel Segmentation 2022 · 122 citations
1220+1+2Years since publication4080120

Peers

Kai Jin
Comparison fields: 5 of 169
  • Ophthalmology 647
  • Health Informatics 110
  • Radiology, Nuclear Medicine and Imaging 1.0k
  • Biomaterials 558
  • Pharmaceutical Science 160
Replace Ming Li with:
Ming Li China
Ronald X. Xu China
Jyotirmoy Chatterjee India
Qi Yan China
Weirong Chen China
Siping Chen China
Baowei Fei United States
Takeshi Hara Japan
Muneeb Ahmed United States
Nenad Filipović Serbia
Kai Jin relative to Ming Li China Ming Li's profile →
Citations per field
00.5×12.4×
Ming Li · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Kai Jin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kai Jin Line = papers co-authored together Kai Jin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 158 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017302
2 2017186
3 2021137
4 2016133
5 2016128
6
FIVES: A Fundus Image Dataset for Artificial Intelligence based Vessel Segmentation
Hit paper breakdown →
2022122
7 2021121
8 2019118
9 2017114
10 201789
11 201686
12 201586
13 202279
14 202278
15 201669
16 201766
17 202065
18 202457
19 200256
20 201552

About Kai Jin

Kai Jin is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology, Molecular Biology, Biomedical Engineering and Computer Vision and Pattern Recognition, having authored 158 papers that have together received 3.8k indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (43 papers), Retinal and Optic Conditions (18 papers), Retinal Diseases and Treatments (15 papers), Nanoparticle-Based Drug Delivery (10 papers), Glaucoma and retinal disorders (9 papers), Nanoplatforms for cancer theranostics (9 papers), Ocular Disorders and Treatments (5 papers) and Artificial Intelligence in Healthcare and Education (5 papers). The work is most often cited by research in Ophthalmology (647 citations), Health Informatics (110 citations), Radiology, Nuclear Medicine and Imaging (1.0k citations), Biomaterials (558 citations) and Pharmaceutical Science (160 citations). Kai Jin has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Juan Ye, Zhiqing Pang, Zimiao Luo, Bo Zhang, Lixia Lou, Dahong Qian, Juan Ye, Shaoze Wang, Juan Ye and Ting Jiang. Their work appears in journals such as Ophthalmology and Therapy, npj Digital Medicine, Graefe s Archive for Clinical and Experimental Ophthalmology, Acta Ophthalmologica and Scientific Reports.

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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