Sigang Yang

3.1k total citations · 2 hit papers
217 papers, 2.1k citations indexed

About

Sigang Yang is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Artificial Intelligence. According to data from OpenAlex, Sigang Yang has authored 217 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 181 papers in Electrical and Electronic Engineering, 115 papers in Atomic and Molecular Physics, and Optics and 27 papers in Artificial Intelligence. Recurrent topics in Sigang Yang's work include Advanced Fiber Laser Technologies (103 papers), Optical Network Technologies (95 papers) and Photonic and Optical Devices (84 papers). Sigang Yang is often cited by papers focused on Advanced Fiber Laser Technologies (103 papers), Optical Network Technologies (95 papers) and Photonic and Optical Devices (84 papers). Sigang Yang collaborates with scholars based in China, Hong Kong and United States. Sigang Yang's co-authors include Hongwei Chen, Minghua Chen, Shizhong Xie, Chengyang Hu, Honghao Huang, Tingzhao Fu, Kenneth K. Y. Wong, Yubin Zang, Yue Zhou and Yuyao Huang and has published in prestigious journals such as Nature Communications, Science Advances and Optics Letters.

In The Last Decade

Sigang Yang

196 papers receiving 1.9k citations

Hit Papers

Photonic machine learning with on-chip diffractive optics 2023 2026 2024 2025 2023 2024 50 100 150

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sigang Yang China 22 1.6k 993 426 251 146 217 2.1k
Minghua Chen China 24 1.8k 1.1× 1.1k 1.1× 351 0.8× 263 1.0× 165 1.1× 240 2.2k
Shizhong Xie China 23 1.9k 1.2× 1.3k 1.3× 72 0.2× 214 0.9× 124 0.8× 232 2.2k
Ryan P. Scott United States 30 2.4k 1.5× 1.3k 1.4× 234 0.5× 313 1.2× 129 0.9× 144 2.8k
Kelvin Wagner United States 19 1.0k 0.6× 1.1k 1.2× 345 0.8× 239 1.0× 48 0.3× 165 1.8k
Roland Ryf United States 42 7.6k 4.6× 2.3k 2.4× 311 0.7× 453 1.8× 58 0.4× 351 8.1k
Joel Carpenter Australia 19 1.1k 0.7× 780 0.8× 248 0.6× 285 1.1× 32 0.2× 92 1.6k
Ravindra A. Athale United States 15 1.4k 0.9× 518 0.5× 237 0.6× 297 1.2× 56 0.4× 79 1.9k
Mehdi Alouini France 23 1.1k 0.7× 991 1.0× 57 0.1× 341 1.4× 65 0.4× 140 1.6k
Omar S. Magaña‐Loaiza United States 23 311 0.2× 1.3k 1.3× 631 1.5× 396 1.6× 60 0.4× 69 1.6k
Haoshuo Chen United States 27 2.5k 1.5× 894 0.9× 242 0.6× 264 1.1× 32 0.2× 214 2.8k

Countries citing papers authored by Sigang Yang

Since Specialization
Citations

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

Fields of papers citing papers by Sigang Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sigang Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Sigang Yang. A scholar is included among the top collaborators of Sigang Yang 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 Sigang Yang. Sigang Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hu, Junling, et al.. (2025). LSTM-assisted optical fiber interferometric sensing: breaking the limitation of free spectral range. Light Science & Applications. 14(1). 392–392.
2.
Shao, Shuai, et al.. (2025). Ultra-low-noise hybrid III–V/Si3N4 laser achieving wide-range wavelength switching. APL Photonics. 10(4). 1 indexed citations
3.
Huang, Yuyao, Wencan Liu, Run Sun, et al.. (2025). Photonic neuromorphic processor with high energy efficiency exceeding 100 GOPS/W/mm2. APL Photonics. 10(10).
4.
Liu, Wencan, Yuyao Huang, Run Cang Sun, et al.. (2025). Ultra-compact multi-task processor based on in-memory optical computing. Light Science & Applications. 14(1). 134–134. 4 indexed citations
5.
Yang, Sigang, et al.. (2024). Pre-sensor computing with compact multilayer optical neural network. Science Advances. 10(30). eado8516–eado8516. 13 indexed citations
6.
7.
Li, Jiachen, et al.. (2023). Reconfigurable RF Filter Based on Cascaded Microring Resonators. IEEE photonics journal. 15(3). 1–6. 4 indexed citations
8.
Shao, Shuai, Jiachen Li, Hongwei Chen, Sigang Yang, & Minghua Chen. (2022). Gain-Switched Optical Frequency Comb Source Using a Hybrid Integrated Self-Injection Locking DFB Laser. IEEE photonics journal. 14(1). 1–6. 8 indexed citations
9.
Zang, Yubin, Zhenming Yu, Kun Xu, et al.. (2022). Multi-span long-haul fiber transmission model based on cascaded neural networks with multi-head attention mechanism. Journal of Lightwave Technology. 1–8. 15 indexed citations
10.
Huang, Zheng, Honghao Huang, Chengyang Hu, et al.. (2022). LOEN: Lensless opto-electronic neural network empowered machine vision. Light Science & Applications. 11(1). 121–121. 62 indexed citations
11.
Tang, Liwei, Sigang Yang, Hongwei Chen, & Minghua Chen. (2021). Hybrid Integrated Low Noise Optical Phase-Locked Loop Based on Self-Injection Locked Semiconductor Laser. Journal of Lightwave Technology. 40(7). 2033–2039. 7 indexed citations
12.
Hu, Chengyang, Honghao Huang, Minghua Chen, Sigang Yang, & Hongwei Chen. (2021). Video object detection from one single image through opto-electronic neural network. APL Photonics. 6(4). 46104–46104. 19 indexed citations
13.
Zang, Yubin, Zhenming Yu, Kun Xu, et al.. (2021). Principle-Driven Fiber Transmission Model Based on PINN Neural Network. Journal of Lightwave Technology. 40(2). 404–414. 25 indexed citations
14.
Tang, Liwei, Jiachen Li, Sigang Yang, Hongwei Chen, & Minghua Chen. (2021). A Method for Improving Reflection Tolerance of Laser Source in Hybrid Photonic Packaged Micro-System. IEEE Photonics Technology Letters. 33(9). 465–468. 7 indexed citations
15.
Yang, Bo, Hongwei Chen, Sigang Yang, & Minghua Chen. (2020). A Design Method of Optical Phased Array With Insufficient Phase Tuning Range. IEEE photonics journal. 12(2). 1–9. 2 indexed citations
16.
Li, Jiachen, Sigang Yang, Hongwei Chen, & Minghua Chen. (2020). Reconfigurable Rectangular Filter With Continuously Tunable Bandwidth and Wavelength. IEEE photonics journal. 12(4). 1–9. 8 indexed citations
17.
Hu, Chengyang, Sigang Yang, Minghua Chen, & Hongwei Chen. (2020). Quadrature Multiplexed Structured Illumination Imaging. IEEE photonics journal. 12(2). 1–8. 4 indexed citations
18.
Huang, Honghao, Chengyang Hu, Sigang Yang, Minghua Chen, & Hongwei Chen. (2020). Temporal Ghost Imaging by Means of Fourier Spectrum Acquisition. IEEE photonics journal. 12(5). 1–12. 7 indexed citations
19.
Zang, Yubin, Minghua Chen, Sigang Yang, & Hongwei Chen. (2019). Electro-Optical Neural Networks Based on Time-Stretch Method. IEEE Journal of Selected Topics in Quantum Electronics. 26(1). 1–10. 18 indexed citations
20.
Yang, Sigang, Kenneth K. Y. Wong, Minghua Chen, & Shizhong Xie. (2013). Fiber optical parametric oscillator based on highly nonlinear dispersion-shifted fiber. Frontiers of Optoelectronics. 6(1). 25–29. 3 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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