Ai Jun Wen

433 total citations
12 papers, 347 citations indexed

About

Ai Jun Wen is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Ai Jun Wen has authored 12 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Electrical and Electronic Engineering, 8 papers in Artificial Intelligence and 4 papers in Computer Networks and Communications. Recurrent topics in Ai Jun Wen's work include Neural Networks and Reservoir Computing (8 papers), Optical Network Technologies (6 papers) and Chaos control and synchronization (4 papers). Ai Jun Wen is often cited by papers focused on Neural Networks and Reservoir Computing (8 papers), Optical Network Technologies (6 papers) and Chaos control and synchronization (4 papers). Ai Jun Wen collaborates with scholars based in China. Ai Jun Wen's co-authors include Shui Ying Xiang, Xing Guo, Lin Lin, Yue Hao, Yue Hao, Wei Pan, Hao Zhang, Shuiying Xiang, Lei Shang and Yang Wang and has published in prestigious journals such as Optics Letters, Optics Express and Journal of Lightwave Technology.

In The Last Decade

Ai Jun Wen

12 papers receiving 315 citations

Peers

Ai Jun Wen

EEE

AI

CNC

SNP

AMPO

André Röhm Japan

Shui Ying Xiang China

Bicky A. Márquez Canada

A. Baylón-Fuentes Mexico

Werner Coomans Belgium

Lina Jaurigue Germany

Andrea Grimaldi Italy

Piotr Antonik Belgium

Biwei Pan China

Romain Martinenghi France

André Röhm Japan

Ai Jun Wen

199 ×0.7

EEE

189 ×0.7

AI

60 ×1.0

CNC

57 ×1.1

SNP

74 ×1.6

AMPO

Citations per year, relative to Ai Jun Wen Ai Jun Wen (= 1×) peers André Röhm

Countries citing papers authored by Ai Jun Wen

Since Specialization

Citations

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

Fields of papers citing papers by Ai Jun Wen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ai Jun Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Ai Jun Wen. A scholar is included among the top collaborators of Ai Jun Wen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ai Jun Wen. Ai Jun Wen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

1.

Guo, Xing, et al.. (2020). High-Speed Neuromorphic Reservoir Computing Based on a Semiconductor Nanolaser With Optical Feedback Under Electrical Modulation. IEEE Journal of Selected Topics in Quantum Electronics. 26(5). 1–7. 24 indexed citations

2.

Guo, Xing, et al.. (2020). Enhanced Prediction Performance of a Neuromorphic Reservoir Computing System Using a Semiconductor Nanolaser With Double Phase Conjugate Feedbacks. Journal of Lightwave Technology. 39(1). 129–135. 23 indexed citations

3.

Xiang, Shuiying, et al.. (2019). Concealment of Time Delay Signature of Chaotic Semiconductor Nanolasers With Double Chaotic Optical Injections. IEEE Journal of Quantum Electronics. 55(2). 1–7. 26 indexed citations

4.

Wen, Ai Jun, et al.. (2019). Anti-chromatic dispersion transmission of frequency and bandwidth-doubling dual-chirp microwave waveform. Optics Letters. 44(16). 4004–4004. 20 indexed citations

5.

Guo, Xing, et al.. (2019). Polarization Multiplexing Reservoir Computing Based on a VCSEL With Polarized Optical Feedback. IEEE Journal of Selected Topics in Quantum Electronics. 26(1). 1–9. 72 indexed citations

6.

Xiang, Shui Ying, et al.. (2019). Photonic spiking neural network based on excitable VCSELs-SA for sound azimuth detection. Optics Express. 28(2). 1561–1561. 24 indexed citations

7.

Guo, Xing, et al.. (2019). Four-channels reservoir computing based on polarization dynamics in mutually coupled VCSELs system. Optics Express. 27(16). 23293–23293. 52 indexed citations

8.

Guo, Xing, et al.. (2018). Information-Theory-Based Complexity Quantifier for Chaotic Semiconductor Laser With Double Time Delays. IEEE Journal of Quantum Electronics. 54(1). 1–8. 9 indexed citations

9.

Xiang, Shui Ying, Hao Zhang, Xing Guo, et al.. (2017). Cascadable Neuron-Like Spiking Dynamics in Coupled VCSELs Subject to Orthogonally Polarized Optical Pulse Injection. IEEE Journal of Selected Topics in Quantum Electronics. 23(6). 1–7. 51 indexed citations

10.

Xiang, Shui Ying, et al.. (2016). Role of linewidth enhancement factor on time-delay signature concealment of chaos in mutually-coupled semiconductor ring lasers. 1–4. 3 indexed citations

11.

Xiang, Shui Ying, et al.. (2016). Effect of Gain Nonlinearity on Time Delay Signature of Chaos in External-Cavity Semiconductor Lasers. IEEE Journal of Quantum Electronics. 52(4). 1–7. 16 indexed citations

12.

Xiang, Shui Ying, et al.. (2013). Conceal Time Delay Signature of Chaos in Semiconductor Lasers With Dual-Path Injection. IEEE Photonics Technology Letters. 25(14). 1398–1401. 27 indexed citations

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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