Naijun Jin

769 citations
22 papers · 385 indexed · 1 hit paper · h-index 8

Naijun Jin

21 papers receiving 363 citations

Hit Papers

422 Million intrinsic quality factor planar integrated al...179202120262022202450100150

Peers

Naijun Jin
Comparison fields: 5 of 23
  • Atomic and Molecular Physics, and Optics 324
  • Electrical and Electronic Engineering 288
  • Artificial Intelligence 52
  • Instrumentation 4
  • Acoustics and Ultrasonics 1
Replace Mario Dumont with:
Mario Dumont United States
Andrei Isichenko United States
Christos T. Santis United States
Youwen Fan Netherlands
Eric A. Kittlaus United States
Martijn J. R. Heck United States
Jesse Morgan United States
Junlei Xia China
Hannah R. Grant United States
Naijun Jin relative to Mario Dumont United States Mario Dumont's profile →
Citations per field
00.5×1.5×
Mario Dumont · 1×
Citations per year

Countries citing papers authored by Naijun Jin

Since Specialization
Citations

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

Fields of papers citing papers by Naijun Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Naijun 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 Naijun Jin Line = papers co-authored together Naijun Jin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20246
3 202410
4 20242
5 202417
6 20240
7 202311
8 20232
9 20231
10 20232
11 202240
12 20223
13 20221
14 20222
15 202268
16
422 Million intrinsic quality factor planar integrated all-waveguide resonator with sub-MHz linewidthbreakdown →
2021179
17 20215
18 20211
19 201913
20 20192

About Naijun Jin

Naijun Jin is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering, Ocean Engineering, Artificial Intelligence and Mechanical Engineering, having authored 22 papers that have together received 385 indexed citations. Recurring topics across this work include Advanced Fiber Laser Technologies (17 papers), Photonic and Optical Devices (12 papers), Advanced Frequency and Time Standards (9 papers), Cold Atom Physics and Bose-Einstein Condensates (5 papers), Semiconductor Lasers and Optical Devices (4 papers), Mechanical and Optical Resonators (4 papers), Advanced Measurement and Metrology Techniques (2 papers) and Quantum Information and Cryptography (2 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (324 citations), Electrical and Electronic Engineering (288 citations), Artificial Intelligence (52 citations), Instrumentation (4 citations) and Acoustics and Ultrasonics (1 citation). Naijun Jin has collaborated with scholars based in United States, Egypt and China. Frequent co-authors include Peter T. Rakich, Daniel J. Blumenthal, Haotian Cheng, Matthew W. Puckett, Kaikai Liu, Ryan O. Behunin, Karl D. Nelson, Qiancheng Zhao, Jianfeng Wu and Nitesh Chauhan. Their work appears in journals such as APL Photonics, Optica, Physical Review Applied, Journal of the Optical Society of America B and Nature Communications.

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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