Kai Jin

756 citations
92 papers · 535 · h-index 13

Impact in

Papers in

Kai Jin

81 papers receiving 469 citations

Peers

Kai Jin
Comparison fields: 5 of 105
  • Instrumentation 33
  • Atomic and Molecular Physics, and Optics 131
  • Media Technology 33
  • Computer Vision and Pattern Recognition 77
  • Electrical and Electronic Engineering 160
Replace Dongmei Wu with:
Dongmei Wu China
Xiaolong Pan China
David Brunner Austria
Mi Zhou China
Tianhua Xu China
Chen United States
Zilong Zhang China
Andrew W. Palmer United Kingdom
Kai Jin relative to Dongmei Wu China Dongmei Wu's profile →
Citations per field
00.5×2×3×4×4.7×
Dongmei Wu · 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 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202344
2 202341
3 201636
4 202426
5 202525
6 201421
7 201820
8 201520
9 201520
10 202416
11 202314
12 201414
13 202213
14 202411
15 201610
16 202310
17 202110
18 201710
19 20189
20 20228

About Kai Jin

Kai Jin is a scholar working on Electrical and Electronic Engineering, Aerospace Engineering, Atomic and Molecular Physics, and Optics, Instrumentation and Mechanical Engineering, having authored 92 papers that have together received 535 indexed citations. Recurring topics across this work include Optical Systems and Laser Technology (13 papers), Adaptive optics and wavefront sensing (10 papers), Particle accelerators and beam dynamics (8 papers), Gyrotron and Vacuum Electronics Research (8 papers), Advanced Optical Sensing Technologies (7 papers), Particle Accelerators and Free-Electron Lasers (6 papers), Solid State Laser Technologies (5 papers) and Stellar, planetary, and galactic studies (5 papers). The work is most often cited by research in Instrumentation (33 citations), Atomic and Molecular Physics, and Optics (131 citations), Media Technology (33 citations), Computer Vision and Pattern Recognition (77 citations) and Electrical and Electronic Engineering (160 citations). Kai Jin has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Andrew James Lew, Markus J. Buehler, Kai Wei, Yudong Zhang, Yong Bo, Feng Lu, Yaowen Shan, Stephen L. Taylor, shougang Chen and Qi Bian. Their work appears in journals such as Theoretical Computer Science, Optics Letters, Fuel, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment and Computers & Electrical Engineering.

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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