Deyuan Chang

466 total citations
26 papers, 348 citations indexed

About

Deyuan Chang is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Deyuan Chang has authored 26 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Electrical and Electronic Engineering, 9 papers in Computer Networks and Communications and 3 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Deyuan Chang's work include Optical Network Technologies (23 papers), Advanced Photonic Communication Systems (13 papers) and Error Correcting Code Techniques (8 papers). Deyuan Chang is often cited by papers focused on Optical Network Technologies (23 papers), Advanced Photonic Communication Systems (13 papers) and Error Correcting Code Techniques (8 papers). Deyuan Chang collaborates with scholars based in Canada, China and Germany. Deyuan Chang's co-authors include Zhiyu Xiao, Fan Yu, Changsong Xie, Nebojša Stojanović, Xiaogeng Xu, Qianjin Xiong, Octavia A. Dobre, Liangchuan Li, Fabian N. Hauske and R. Venkatesan and has published in prestigious journals such as Optics Express, Journal of Lightwave Technology and Electronics Letters.

In The Last Decade

Deyuan Chang

25 papers receiving 334 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Deyuan Chang Canada	9	342	101	37	20	10	26	348
Marianna Angelou Greece	14	653 1.9×	81 0.8×	31 0.8×	22 1.1×	6 0.6×	52	694
Haibo Li China	12	457 1.3×	67 0.7×	38 1.0×	14 0.7×	5 0.5×	38	477
Stefan Dahlfort Sweden	9	508 1.5×	129 1.3×	15 0.4×	13 0.7×	8 0.8×	22	528
Juan Pedro Fernández-Palacios Giménez Spain	8	572 1.7×	92 0.9×	26 0.7×	11 0.6×	6 0.6×	18	590
Jiakai Yu United States	10	198 0.6×	66 0.7×	44 1.2×	24 1.2×	3 0.3×	24	273
P. Gunning United Kingdom	10	458 1.3×	100 1.0×	70 1.9×	16 0.8×	7 0.7×	52	501
Qianjin Xiong China	8	411 1.2×	114 1.1×	61 1.6×	20 1.0×	7 0.7×	26	429
Setsuo Yoshida Japan	10	346 1.0×	25 0.2×	41 1.1×	14 0.7×	6 0.6×	49	365
Amitkumar Mahadevan United States	14	452 1.3×	57 0.6×	51 1.4×	40 2.0×	4 0.4×	41	465
Andrew Lord United Kingdom	12	736 2.2×	101 1.0×	29 0.8×	16 0.8×	6 0.6×	27	760

Countries citing papers authored by Deyuan Chang

Since Specialization

Citations

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

Fields of papers citing papers by Deyuan Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deyuan Chang

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Dobre, Octavia A., et al.. (2022). Learned Signal-to-Noise Ratio Estimation in Optical Fiber Communication Links. IEEE photonics journal. 14(6). 1–7. 5 indexed citations

Dobre, Octavia A., et al.. (2022). Joint Estimation of Linear and Nonlinear Coherent Optical Fiber Signal-to-Noise Ratio. IEEE Photonics Technology Letters. 35(1). 23–26. 9 indexed citations

Lin, Xiang, et al.. (2022). Perturbation-aided deep neural network for dual-polarization optical communication systems. Optical Fiber Communication Conference (OFC) 2022. W2A.35–W2A.35. 2 indexed citations

Lin, Xiang, et al.. (2021). Perturbation Theory-Aided Learned Digital Back-Propagation Scheme for Optical Fiber Nonlinearity Compensation. Journal of Lightwave Technology. 40(7). 1981–1988. 22 indexed citations

Huang, Kechao, et al.. (2021). Dynamic Decoding of Zipper Codes. W6A.39–W6A.39.

Chang, Deyuan, et al.. (2021). Novel Design of Irregular Polar Codes for Latency Reduction in Fast Polar Decoders. 1–5. 4 indexed citations

Chang, Deyuan, et al.. (2020). Low-PAPR Polarization-Time Code with Improved Four-Dimensional Detection for PDL Mitigation. 1–3. 2 indexed citations

Dobre, Octavia A., et al.. (2018). Training-Aided Joint Frame and Frequency Synchronization for THP FTN Coherent Optical Systems. 1–4. 1 indexed citations

Chang, Deyuan, et al.. (2017). Training Symbol-Based Equalization for Quadrature Duobinary PDM-FTN Systems. IEEE Photonics Technology Letters. 29(5). 454–457. 6 indexed citations

10.

Dobre, Octavia A., et al.. (2017). A spectrally-efficient linear polarization coding scheme for fiber nonlinearity compensation in CO-OFDM systems. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10130. 101300P–101300P. 5 indexed citations

11.

Chang, Deyuan, et al.. (2015). Joint timing and frequency synchronization based on weighted CAZAC sequences for reduced-guard-interval CO-OFDM systems. Optics Express. 23(5). 5777–5777. 15 indexed citations

12.

Li, Liangchuan, et al.. (2014). 20×224Gbps (56Gbaud) PDM-QPSK Transmission in 50GHz grid over 3040km G.652 fiber and EDFA only link Using Soft Output Faster than Nyquist Technology. Optical Fiber Communication Conference. W3J.2–W3J.2. 8 indexed citations

13.

Zhao, Yu, Nebojša Stojanović, Deyuan Chang, et al.. (2014). Adaptive Joint Carrier Recovery and Turbo Decoding for Nyquist Terabit Optical Transmission in the Presence of Phase Noise. Optical Fiber Communication Conference. W3J.3–W3J.3. 1 indexed citations

14.

Yu, Fan, Changsong Xie, Liangchuan Li, et al.. (2013). Hybrid Soft/Hard Decision Multilevel Coded Modulation for Beyond 100Gbps Optical Transmission. 438–440. 5 indexed citations

15.

Stojanović, Nebojša, Yu Zhao, Deyuan Chang, Zhiyu Xiao, & Fan Yu. (2013). Reusing Common Uncoded Experimental Data in Performance Estimation of Different FEC Codes. IEEE Photonics Technology Letters. 25(24). 2494–2497. 7 indexed citations

16.

Chang, Deyuan, Fan Yu, Zhiyu Xiao, et al.. (2012). LDPC Convolutional Codes using Layered Decoding Algorithm for High Speed Coherent Optical Transmission. Optical Fiber Communication Conference. OW1H.4–OW1H.4. 108 indexed citations

17.

Xie, Changsong, Yu Zhao, Zhiyu Xiao, Deyuan Chang, & Fan Yu. (2011). FEC for high-speed optical transmission. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8309. 83091R–83091R. 4 indexed citations

18.

Chang, Deyuan, Fan Yu, Zhiyu Xiao, et al.. (2011). FPGA Verification of a Single QC-LDPC Code for 100 Gb/s Optical Systems without Error Floor down to BER of 10−15. OTuN2–OTuN2. 84 indexed citations

19.

Yu, Fan, Nebojša Stojanović, Fabian N. Hauske, et al.. (2011). Soft-Decision LDPC Turbo Decoding for DQPSK Modulation in Coherent Optical Receivers. We.10.P1.70–We.10.P1.70. 18 indexed citations

20.

Chang, Deyuan, et al.. (2006). Kalman Carrier Recovery Algorithm for High-Order QAM. IEICE Transactions on Communications. E89-B(11). 3117–3119. 1 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