Kai Jin

5.0k citations
150 papers · 3.4k · 1 hit paper · h-index 32

Impact in

Papers in

Kai Jin

137 papers receiving 3.3k citations

Kai Jin's Hit Papers

FIVES: A Fundus Image Dataset for Artificial Intelligence based Vessel Segmentation 2022 · 96 citations
960+1+2Years since publication255075

Peers

Kai Jin
Comparison fields: 5 of 169
  • Health Informatics 126
  • Ophthalmology 777
  • Radiology, Nuclear Medicine and Imaging 1.1k
  • Biomaterials 507
  • Pharmaceutical Science 144
Replace Kwang Gi Kim with:
Kwang Gi Kim South Korea
Ming Li China
Siping Chen China
Ronald X. Xu China
Weirong Chen China
Jyotirmoy Chatterjee India
Qi Yan China
Nenad Filipović Serbia
Bin Li China
Takeshi Hara Japan
Kai Jin relative to Kwang Gi Kim South Korea Kwang Gi Kim's profile →
Citations per field
00.5×3.8×
Kwang Gi Kim · 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 150 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017280
2 2017165
3 2021133
4 2016122
5 2016119
6 2021114
7 2017109
8 2019102
9
FIVES: A Fundus Image Dataset for Artificial Intelligence based Vessel Segmentation
Hit paper breakdown →
202296
10 201783
11 201680
12 201574
13 202273
14 202272
15 201662
16 201756
17 202055
18 200253
19 201548
20 201747

About Kai Jin

Kai Jin is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology, Biomedical Engineering, Molecular Biology and Epidemiology, having authored 150 papers that have together received 3.4k indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (56 papers), Retinal Diseases and Treatments (32 papers), Retinal and Optic Conditions (30 papers), Glaucoma and retinal disorders (22 papers), Artificial Intelligence in Healthcare and Education (10 papers), Nanoparticle-Based Drug Delivery (9 papers), Nanoplatforms for cancer theranostics (9 papers) and Ocular Surface and Contact Lens (9 papers). The work is most often cited by research in Health Informatics (126 citations), Ophthalmology (777 citations), Radiology, Nuclear Medicine and Imaging (1.1k citations), Biomaterials (507 citations) and Pharmaceutical Science (144 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 Xiangji Pan. Their work appears in journals such as Ophthalmology and Therapy, Graefe s Archive for Clinical and Experimental Ophthalmology, npj Digital Medicine, 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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