Yang Chen

2.8k citations
145 papers · 2.0k · 1 hit paper · h-index 22

Impact in

Papers in

Yang Chen

131 papers receiving 1.9k citations

Yang Chen's Hit Papers

Spiking Deep Convolutional Neural Networks for Energy-Efficient Object Recognition 2014 · 625 citations
6250+4+8Years since publication200400600

Peers

Yang Chen
Comparison fields: 5 of 88
  • Electrical and Electronic Engineering 1.6k
  • Atomic and Molecular Physics, and Optics 793
  • Cognitive Neuroscience 362
  • Acoustics and Ultrasonics 8
  • Instrumentation 29
Replace Mable P. Fok with:
Mable P. Fok United States
Arthur J. Lowery Australia
Shuiying Xiang China
Shijie Zhao China
Ryosho Nakane Japan
Nicolas Blanc Switzerland
Nanjian Wu China
Kazuo Kyuma Japan
Hao Wu China
Yang Chen relative to Mable P. Fok United States Mable P. Fok's profile →
Citations per field
00.5×3.4×
Mable P. Fok · 1×
Citations per year

Countries citing papers authored by Yang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 145 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Spiking Deep Convolutional Neural Networks for Energy-Efficient Object Recognition
Hit paper breakdown →
2014625
2 201473
3 202253
4 201851
5 202047
6 201747
7 201042
8 201135
9 201635
10 201034
11 201932
12 201931
13 201830
14 201727
15 201727
16 201827
17 201325
18 202225
19 202223
20 202023

About Yang Chen

Yang Chen is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Aerospace Engineering, Mechanical Engineering and Automotive Engineering, having authored 145 papers that have together received 2.0k indexed citations. Recurring topics across this work include Advanced Photonic Communication Systems (73 papers), Advanced Fiber Laser Technologies (57 papers), Optical Network Technologies (41 papers), Photonic and Optical Devices (23 papers), Full-Duplex Wireless Communications (18 papers), Advanced Fiber Optic Sensors (11 papers), Radar Systems and Signal Processing (10 papers) and Photorefractive and Nonlinear Optics (6 papers). The work is most often cited by research in Electrical and Electronic Engineering (1.6k citations), Atomic and Molecular Physics, and Optics (793 citations), Cognitive Neuroscience (362 citations), Acoustics and Ultrasonics (8 citations) and Instrumentation (29 citations). Yang Chen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Deepak Khosla, Yongqiang Cao, Aijun Wen, Shilong Pan, Jianping Yao, Pengcheng Zuo, Guoxiang Huang, Lei Shang, Zhengyang Bai and Xiaojie Yin. Their work appears in journals such as Journal of Lightwave Technology, IEEE Photonics Technology Letters, Optics Letters, Applied Optics and Optics 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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