Shoufa Chen

909 total citations · 1 hit paper
13 papers, 422 citations indexed

About

Shoufa Chen is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Computational Mechanics. According to data from OpenAlex, Shoufa Chen has authored 13 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 7 papers in Electrical and Electronic Engineering and 3 papers in Computational Mechanics. Recurrent topics in Shoufa Chen's work include Optical Wireless Communication Technologies (6 papers), PAPR reduction in OFDM (5 papers) and Sparse and Compressive Sensing Techniques (3 papers). Shoufa Chen is often cited by papers focused on Optical Wireless Communication Technologies (6 papers), PAPR reduction in OFDM (5 papers) and Sparse and Compressive Sensing Techniques (3 papers). Shoufa Chen collaborates with scholars based in China and Hong Kong. Shoufa Chen's co-authors include Ping Luo, Yibing Song, Peize Sun, Zhongpeng Wang, Ding Liang, Runjian Chen, Enze Xie, Chongjian Ge, Weiwei Qiu and Ziqing Wang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Optics Communications and Optical Engineering.

In The Last Decade

Shoufa Chen

13 papers receiving 399 citations

Hit Papers

DiffusionDet: Diffusion Model for Object Detection 2023 2026 2024 2025 2023 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shoufa Chen China 7 226 90 73 56 40 13 422
Chunwei Song China 10 271 1.2× 76 0.8× 68 0.9× 124 2.2× 39 1.0× 25 472
Hamed Habibi Aghdam Spain 8 200 0.9× 118 1.3× 27 0.4× 77 1.4× 31 0.8× 20 410
Jin Yuan China 7 157 0.7× 117 1.3× 31 0.4× 50 0.9× 32 0.8× 10 374
Xiaoping Liu China 13 316 1.4× 41 0.5× 54 0.7× 68 1.2× 53 1.3× 57 492
ShahRukh Athar United States 8 239 1.1× 118 1.3× 48 0.7× 65 1.2× 19 0.5× 17 413
Xiaotian Wang China 11 223 1.0× 72 0.8× 66 0.9× 57 1.0× 84 2.1× 42 402
Zhisheng Zhang China 10 187 0.8× 47 0.5× 31 0.4× 93 1.7× 37 0.9× 52 304
Yi Wan China 11 341 1.5× 44 0.5× 81 1.1× 130 2.3× 24 0.6× 88 502
Guofeng Zou China 13 293 1.3× 144 1.6× 77 1.1× 54 1.0× 43 1.1× 52 474

Countries citing papers authored by Shoufa Chen

Since Specialization
Citations

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

Fields of papers citing papers by Shoufa Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shoufa Chen

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

All Works

13 of 13 papers shown
1.
Chen, Shoufa, Enze Xie, Chongjian Ge, et al.. (2023). CycleMLP: A MLP-Like Architecture for Dense Visual Predictions. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(12). 14284–14300. 61 indexed citations
2.
Chen, Shoufa, Peize Sun, Yibing Song, & Ping Luo. (2023). DiffusionDet: Diffusion Model for Object Detection. 19773–19786. 272 indexed citations breakdown →
3.
Wang, Zhongpeng, et al.. (2022). Image parallel block compressive sensing scheme using DFT measurement matrix. Multimedia Tools and Applications. 82(14). 21561–21583. 10 indexed citations
4.
Wang, Zhongpeng & Shoufa Chen. (2022). BER performance analysis of an OFDM-based visible light communication system using DHT post-coding. Optoelectronics Letters. 18(5). 288–292. 1 indexed citations
5.
Wang, Zhongpeng, et al.. (2020). Secure Image Block Compressive Sensing Using Chaotic DCT Sparse Basis and Partial Chaotic DHT Measurement Matrix. Sensing and Imaging. 21(1). 5 indexed citations
6.
Chen, Shoufa & Xinggang Wang. (2019). Single-Shot Detector with Multiple Inference Paths. 2005–2009. 2 indexed citations
7.
Wang, Zhongpeng, Ziqing Wang, & Shoufa Chen. (2018). Encrypted image transmission in OFDM-based VLC systems using symbol scrambling and chaotic DFT precoding. Optics Communications. 431. 229–237. 11 indexed citations
8.
Wang, Zhongpeng, et al.. (2017). A two layer chaotic encryption scheme of secure image transmission for DCT precoded OFDM-VLC transmission. Optics Communications. 410. 94–101. 27 indexed citations
10.
Wang, Zhongpeng & Shoufa Chen. (2016). A Chaos-Based Encryption Scheme for DCT Precoded OFDM-Based Visible Light Communication Systems. Journal of Electrical and Computer Engineering. 2016. 1–7. 5 indexed citations
12.
Wang, Zhongpeng & Shoufa Chen. (2015). Combined discrete Fourier transform precoding and clipping using direct detection optical OFDM. Optics Communications. 347. 147–154. 7 indexed citations
13.
Wang, Zhongpeng, Shoufa Chen, Yang Zhou, et al.. (2014). Combining discrete cosine transform with clipping for PAPR reduction in intensity-modulated OFDM systems. Optoelectronics Letters. 10(5). 356–359. 13 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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