Aijun Wen

2.9k citations
157 papers · 2.3k · h-index 28

Impact in

Papers in

Aijun Wen

152 papers receiving 2.1k citations

Peers

Aijun Wen
Comparison fields: 5 of 50
  • Atomic and Molecular Physics, and Optics 1.3k
  • Electrical and Electronic Engineering 2.0k
  • Acoustics and Ultrasonics 14
  • Statistical and Nonlinear Physics 179
  • Artificial Intelligence 423
Replace Pei Zhou with:
Pei Zhou China
Sze-Chun Chan Hong Kong
Nianqiang Li China
Shuiying Xiang China
Qunbi Zhuge China
Fan-Yi Lin Taiwan
Tao Deng China
Qi Yang China
K.A. Shore United Kingdom
Valerio Annovazzi-Lodi Italy
Aijun Wen relative to Pei Zhou China Pei Zhou's profile →
Citations per field
00.5×2.9×
Pei Zhou · 1×
Citations per year

Countries citing papers authored by Aijun Wen

Since Specialization
Citations

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

Fields of papers citing papers by Aijun Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 157 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201545
2 201645
3 201444
4 201644
5 201444
6 201843
7 201742
8 201741
9 201741
10 201940
11 201040
12 201940
13 201439
14 201937
15 201437
16 201637
17 201135
18 201834
19 201734
20 201034

About Aijun Wen

Aijun Wen is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Artificial Intelligence, Computer Networks and Communications and Cognitive Neuroscience, having authored 157 papers that have together received 2.3k indexed citations. Recurring topics across this work include Advanced Photonic Communication Systems (117 papers), Optical Network Technologies (107 papers), Advanced Fiber Laser Technologies (104 papers), Photonic and Optical Devices (43 papers), Neural Networks and Reservoir Computing (21 papers), Neural dynamics and brain function (8 papers), Semiconductor Lasers and Optical Devices (7 papers) and Nonlinear Dynamics and Pattern Formation (6 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (1.3k citations), Electrical and Electronic Engineering (2.0k citations), Acoustics and Ultrasonics (14 citations), Statistical and Nonlinear Physics (179 citations) and Artificial Intelligence (423 citations). Aijun Wen has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Shuiying Xiang, Yongsheng Gao, Wu Zhang, Huixing Zhang, Yang Chen, Yue Hao, Xingxing Guo, Lei Shang, Yong Wang and Yahui Zhang. Their work appears in journals such as Optics Communications, Journal of Lightwave Technology, IEEE Transactions on Microwave Theory and Techniques, IEEE Photonics Technology Letters and IEEE photonics journal.

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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