William Shieh

10.9k total citations · 2 hit papers
379 papers, 7.9k citations indexed

About

William Shieh is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Computer Networks and Communications. According to data from OpenAlex, William Shieh has authored 379 papers receiving a total of 7.9k indexed citations (citations by other indexed papers that have themselves been cited), including 373 papers in Electrical and Electronic Engineering, 83 papers in Atomic and Molecular Physics, and Optics and 10 papers in Computer Networks and Communications. Recurrent topics in William Shieh's work include Optical Network Technologies (341 papers), Advanced Photonic Communication Systems (253 papers) and Photonic and Optical Devices (162 papers). William Shieh is often cited by papers focused on Optical Network Technologies (341 papers), Advanced Photonic Communication Systems (253 papers) and Photonic and Optical Devices (162 papers). William Shieh collaborates with scholars based in Australia, China and United States. William Shieh's co-authors include Yan Tang, Qi Yang, Xingwen Yi, Di Che, C.R.N. Athaudage, Xi Chen, Hongchun Bao, Yiran Ma, Chuanbowen Sun and Qian Hu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Physical review. B, Condensed matter and Scientific Reports.

In The Last Decade

William Shieh

351 papers receiving 7.5k citations

Hit Papers

Coherent optical OFDM: th... 2006 2026 2012 2019 2008 2006 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
William Shieh 7.7k 1.9k 197 188 187 379 7.9k
Peter A. Andrekson 8.8k 1.1× 4.9k 2.5× 199 1.0× 119 0.6× 228 1.2× 494 9.1k
A.H. Gnauck 10.0k 1.3× 2.9k 1.5× 256 1.3× 129 0.7× 161 0.9× 320 10.2k
Gee‐Kung Chang 7.4k 1.0× 2.2k 1.2× 161 0.8× 335 1.8× 88 0.5× 502 7.6k
A.M.J. Koonen 7.0k 0.9× 1.3k 0.7× 192 1.0× 350 1.9× 156 0.8× 642 7.3k
Polina Bayvel 6.8k 0.9× 1.4k 0.7× 161 0.8× 466 2.5× 329 1.8× 458 7.0k
Yoshinari Awaji 4.2k 0.5× 1.0k 0.5× 126 0.6× 253 1.3× 241 1.3× 305 4.7k
C.R. Doerr 5.0k 0.6× 2.0k 1.0× 344 1.7× 123 0.7× 288 1.5× 206 5.3k
Sandeep K. Gupta 3.3k 0.4× 657 0.3× 295 1.5× 318 1.7× 108 0.6× 191 3.8k
Daniel J. Blumenthal 6.6k 0.9× 3.2k 1.7× 296 1.5× 283 1.5× 328 1.8× 402 7.1k
A.R. Chraplyvy 4.8k 0.6× 1.7k 0.9× 124 0.6× 103 0.5× 152 0.8× 124 5.1k

Countries citing papers authored by William Shieh

Since Specialization
Citations

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

Fields of papers citing papers by William Shieh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Shieh

This figure shows the co-authorship network connecting the top 25 collaborators of William Shieh. A scholar is included among the top collaborators of William Shieh 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 William Shieh. William Shieh 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.
Chen, Zhuo, et al.. (2025). Bidirectional symmetrical 200G simplified coherent PON system with laser-free ONUs. Optics Express. 33(14). 29527–29527.
2.
Sun, Biao, Bo Tang, Yiheng Tang, et al.. (2025). Hybrid silicon-chalcogenide glass-integrated photonic platform for EDFA-free four-wave mixing. Optics Letters. 50(17). 5426–5426.
3.
Chen, Zhuo, Zipeng Liang, Xinyu Chang, et al.. (2024). Cost-Effective 40-Gbaud THP PS-PAM-4 C-Band IM/DD Transmission for 50-km Inter-DCI Utilizing 2-bit DAC. IEEE photonics journal. 16(3). 1–7. 1 indexed citations
4.
Xu, Zhaopeng, Qi Wu, Honglin Ji, et al.. (2024). Advanced Neural Network-Based Equalization in Intensity-Modulated Direct-Detection Optical Systems: Current Status and Future Trends. Photonics. 11(8). 702–702. 5 indexed citations
5.
Xu, Zhaopeng, Qi Wu, Honglin Ji, et al.. (2024). Weight-adaptive joint mixed-precision quantization and pruning for neural network-based equalization in short-reach direct detection links. Optics Letters. 49(12). 3500–3500. 7 indexed citations
6.
Li, Jingchi, Zhen Wang, Honglin Ji, et al.. (2022). Silicon Photonic Carrier-Assisted Differential Detection Receiver With High Electrical Spectral Efficiency for Short-Reach Interconnects. Journal of Lightwave Technology. 41(3). 919–925. 16 indexed citations
7.
Ji, Honglin, Zhen Wang, Xingfeng Li, et al.. (2022). Photonic Integrated Self-Coherent Homodyne Receiver Without Optical Polarization Control for Polarization-Multiplexing Short-Reach Optical Interconnects. Journal of Lightwave Technology. 41(3). 911–918. 10 indexed citations
8.
Ji, Honglin, Shuangyu Dong, Zhaopeng Xu, et al.. (2021). Carrier Assisted Differential Detection With Generalized and Simplified Receiver Structure. Journal of Lightwave Technology. 39(22). 7159–7167. 11 indexed citations
9.
Xu, Zhaopeng, Shuangyu Dong, Jonathan H. Manton, & William Shieh. (2021). Low-Complexity Multi-Task Learning Aided Neural Networks for Equalization in Short-Reach Optical Interconnects. Journal of Lightwave Technology. 40(1). 45–54. 29 indexed citations
10.
Xu, Zhaopeng, et al.. (2020). Feedforward and Recurrent Neural Network-Based Transfer Learning for Nonlinear Equalization in Short-Reach Optical Links. Journal of Lightwave Technology. 39(2). 475–480. 44 indexed citations
11.
Xu, Zhaopeng, Chuanbowen Sun, Jonathan H. Manton, & William Shieh. (2019). Computational Complexity Analysis of Neural Network-Based Nonlinear Equalization for Short Reach Direct Detection Systems. 3 indexed citations
12.
Sun, Miao, et al.. (2018). Tuning of Plasmonic Resonances in the Near Infrared Spectrum Using a Double Coaxial Aperture Array. IEEE photonics journal. 10(6). 1–8. 1 indexed citations
13.
Che, Di, et al.. (2014). 160-Gb/s stokes vector direct detection for short reach optical communication. 21 indexed citations
14.
Hu, Qian, Xi Chen, & William Shieh. (2014). Comparison of channel fluctuation between single-mode fibers and few-mode fibers using stokes-space analysis. Australian Conference on Optical Fibre Technology. 92–94. 1 indexed citations
15.
Chen, Xi, Jiayuan He, Di Che, & William Shieh. (2014). Low complexity phase noise compensation for multiband coherent optical OFDM. Australian Conference on Optical Fibre Technology. 910–912. 1 indexed citations
16.
Li, An, et al.. (2013). Impact of constant linear mode coupling on the nonlinear transmission performance of few-mode fibers. 1–3. 1 indexed citations
17.
Amin, Abdullah Al, et al.. (2011). Spatial mode division multiplexing for overcoming capacity barrier of optical fibers. 415–416. 3 indexed citations
18.
Yang, Qi, et al.. (2010). Experimental demonstration of 44-Gb/s coherent optical OFDM with trellis-coded 32-QAM. 474–475. 1 indexed citations
19.
Yang, Qi, Yiran Ma, & William Shieh. (2008). 107 Gb/s Coherent Optical OFDM Reception Using Orthogonal Band Multiplexing. Optical Fiber Communication Conference. 50 indexed citations
20.
Shieh, William & Alan E. Willner. (1996). SNR improvement of four-wave mixing wavelength shifting by noise prefiltering in a semiconductor optical amplifier. Conference on Lasers and Electro-Optics. 347–348. 2 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026