Ming Jin

1.4k citations
45 papers · 878 · 1 hit paper · h-index 15

Impact in

Papers in

Ming Jin

39 papers receiving 791 citations

Ming Jin's Hit Papers

Microcomb-driven silicon photonic systems 2022 · 274 citations
2740+1+2Years since publication50100150200250

Peers

Ming Jin
Comparison fields: 5 of 55
  • Atomic and Molecular Physics, and Optics 441
  • Electrical and Electronic Engineering 666
  • Artificial Intelligence 143
  • Metals and Alloys 6
  • Instrumentation 8
Replace Tristan Braun with:
Tristan Braun Germany
Xiao Hu China
Woosung Kim South Korea
Ning Zhu China
Xiaoyi Xu China
Chenchen Wang China
Sheng Feng China
W.E. Stanchina United States
Paris Varytis Germany
Ming Jin relative to Tristan Braun Germany Tristan Braun's profile →
Citations per field
00.5×10.4×
Tristan Braun · 1×
Citations per year

Countries citing papers authored by Ming Jin

Since Specialization
Citations

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

Fields of papers citing papers by Ming Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Microcomb-driven silicon photonic systems
Hit paper breakdown →
2022274
2 202394
3 202159
4 202054
5 202147
6 202340
7 201935
8 202234
9 202224
10 201924
11 202222
12 202318
13 202216
14 202215
15 201915
16 202014
17 200614
18 201913
19 202212
20 20227

About Ming Jin

Ming Jin is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Mechanical Engineering, Biomedical Engineering and Materials Chemistry, having authored 45 papers that have together received 878 indexed citations. Recurring topics across this work include Photonic and Optical Devices (27 papers), Advanced Fiber Laser Technologies (13 papers), Optical Network Technologies (12 papers), Advanced Photonic Communication Systems (8 papers), Neural Networks and Reservoir Computing (4 papers), Photonic Crystals and Applications (4 papers), Advanced Fiber Optic Sensors (3 papers) and Photorefractive and Nonlinear Optics (3 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (441 citations), Electrical and Electronic Engineering (666 citations), Artificial Intelligence (143 citations), Metals and Alloys (6 citations) and Instrumentation (8 citations). Ming Jin has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Haowen Shu, Yuansheng Tao, Xingjun Wang, Bitao Shen, Jun Qin, Zihan Tao, Ruixuan Chen, Lin Chang, John E. Bowers and Bowen Bai. Their work appears in journals such as Photonics Research, Optics Letters, Laser & Photonics Review, Nature Communications and Journal of Neuroinflammation.

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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