Warren Jin

2.5k citations
59 papers · 1.4k indexed · 2 hit papers · h-index 19

Warren Jin

50 papers receiving 1.3k citations

Hit Papers

3D integration enables ultralow-noise isolator-free laser...137202220262023202450100150

Peers

Warren Jin
Comparison fields: 5 of 38
  • Atomic and Molecular Physics, and Optics 1.0k
  • Electrical and Electronic Engineering 1.3k
  • Instrumentation 21
  • Artificial Intelligence 149
  • Acoustics and Ultrasonics 2
Replace Joel Guo with:
Joel Guo United States
Rebecca Cheng United States
Duanni Huang United States
P Juodawlkis United States
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Davide Grassani Switzerland
Hojoong Jung South Korea
Warren Jin relative to Joel Guo United States Joel Guo's profile →
Citations per field
00.5×1.5×
Joel Guo · 1×
Citations per year

Countries citing papers authored by Warren Jin

Since Specialization
Citations

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

Fields of papers citing papers by Warren Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20257
2 20252
3 20256
4 20251
5 20240
6 20248
7 20240
8 20243
9 20240
10 20241
11 202332
12 20233
13 20230
14
3D integration enables ultralow-noise isolator-free lasers in silicon photonicsbreakdown →
2023137
15 202231
16 20211
17 20213
18 202191
19 20217
20 2020189

About Warren Jin

Warren Jin is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering, Statistical and Nonlinear Physics, Ocean Engineering and Artificial Intelligence, having authored 59 papers that have together received 1.4k indexed citations. Recurring topics across this work include Photonic and Optical Devices (47 papers), Advanced Fiber Laser Technologies (42 papers), Mechanical and Optical Resonators (13 papers), Advanced Fiber Optic Sensors (12 papers), Advanced Photonic Communication Systems (8 papers), Semiconductor Lasers and Optical Devices (7 papers), Optical Network Technologies (7 papers) and Neural Networks and Reservoir Computing (4 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (1.0k citations), Electrical and Electronic Engineering (1.3k citations), Instrumentation (21 citations), Artificial Intelligence (149 citations) and Acoustics and Ultrasonics (2 citations). Warren Jin has collaborated with scholars based in United States, China and Australia. Frequent co-authors include John E. Bowers, Chao Xiang, Joel Guo, Kerry J. Vahala, Lin Chang, Avi Feshali, Mario Paniccia, Paul A. Morton, Lue Wu and Heming Wang. Their work appears in journals such as Optica, Optics Letters, Optics Express, Nature Communications and Photonics Research.

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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