Xin Yuan

14.0k total citations · 3 hit papers
342 papers, 8.0k citations indexed

About

Xin Yuan is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Xin Yuan has authored 342 papers receiving a total of 8.0k indexed citations (citations by other indexed papers that have themselves been cited), including 108 papers in Computational Mechanics, 89 papers in Computer Vision and Pattern Recognition and 87 papers in Biomedical Engineering. Recurrent topics in Xin Yuan's work include Sparse and Compressive Sensing Techniques (102 papers), Image and Signal Denoising Methods (57 papers) and Photoacoustic and Ultrasonic Imaging (55 papers). Xin Yuan is often cited by papers focused on Sparse and Compressive Sensing Techniques (102 papers), Image and Signal Denoising Methods (57 papers) and Photoacoustic and Ultrasonic Imaging (55 papers). Xin Yuan collaborates with scholars based in China, United States and Singapore. Xin Yuan's co-authors include David J. Brady, Lawrence Carin, Zhiyuan Zha, Qionghai Dai, Patrick Llull, Ce Zhu, Bihan Wen, Jiantao Zhou, Jinli Suo and Yang Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

Xin Yuan

307 papers receiving 7.7k citations

Hit Papers

Rank Minimization for Snapshot Compressive Imaging 2018 2026 2020 2023 2018 2021 2022 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
Xin Yuan China 48 3.4k 2.9k 2.4k 1.7k 926 342 8.0k
Edmund Y. Lam Hong Kong 40 3.1k 0.9× 451 0.2× 1.4k 0.6× 2.2k 1.3× 322 0.3× 432 6.8k
Ravi Ramamoorthi United States 63 12.4k 3.6× 4.2k 1.5× 627 0.3× 1.7k 1.0× 308 0.3× 280 16.1k
Jian Zhang China 35 2.8k 0.8× 1.5k 0.5× 1.1k 0.4× 683 0.4× 529 0.6× 204 4.5k
Xudong Jiang Singapore 53 4.9k 1.4× 353 0.1× 758 0.3× 704 0.4× 1.8k 1.9× 414 10.8k
Hua Huang China 37 3.7k 1.1× 577 0.2× 1.1k 0.4× 2.1k 1.2× 148 0.2× 267 5.8k
Yi Ma China 14 5.6k 1.6× 2.5k 0.9× 623 0.3× 1.6k 0.9× 1.5k 1.6× 41 8.3k
Xin Li China 49 5.0k 1.5× 1.8k 0.6× 565 0.2× 1.2k 0.7× 371 0.4× 484 9.9k
Xudong Chen Singapore 48 2.4k 0.7× 343 0.1× 3.8k 1.6× 699 0.4× 160 0.2× 362 12.1k
Wei‐Shi Zheng China 59 10.7k 3.1× 915 0.3× 3.3k 1.4× 1.1k 0.6× 905 1.0× 345 13.2k
Xiao–Ping Zhang China 47 4.8k 1.4× 384 0.1× 758 0.3× 2.6k 1.5× 754 0.8× 483 10.7k

Countries citing papers authored by Xin Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Xin Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Xin Yuan. A scholar is included among the top collaborators of Xin Yuan 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 Xin Yuan. Xin Yuan 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
2.
Ma, Jianhua, et al.. (2024). The roles of B cells in cardiovascular diseases. Molecular Immunology. 171. 36–46. 5 indexed citations
3.
Yuan, Xin, Lianshan Yan, Song-Sui Li, et al.. (2024). The optoelectronic reservoir computing system based on parallel multi-time-delay feedback loops for time-series prediction and optical performance monitoring. Chaos Solitons & Fractals. 186. 115306–115306. 8 indexed citations
4.
Lei, Bing, et al.. (2024). Enhanced mechanical and protective properties of silicone epoxy coatings doped with modified boron nitride nanosheets. Progress in Organic Coatings. 197. 108803–108803. 6 indexed citations
5.
Hong, Jingke, et al.. (2024). Understanding the optimal strategy of carbon labelled product advertising delivery: A dynamic differential equation analysis. Journal of Retailing and Consumer Services. 81. 103950–103950. 2 indexed citations
6.
Zhang, Zhihong, Guohai Situ, David J. Brady, et al.. (2024). A Decade Review of Video Compressive Sensing: A Roadmap to Practical Applications. Engineering. 46. 172–185. 4 indexed citations
7.
Yuan, Xin, et al.. (2024). An Improved NLM Modulation Scheme for Modular Multilevel Converters. 126–131. 1 indexed citations
8.
Wang, Xia, et al.. (2023). Synthesis and biological evaluation of novel pteridin-7(8H)-one derivatives as potent CDK2 inhibitors. Bioorganic & Medicinal Chemistry Letters. 88. 129284–129284. 3 indexed citations
9.
Yuan, Xin, Honggang Hu, Shi‐Hong Luo, et al.. (2023). Clerodane diterpenoids from the Uygur medicine Salvia deserta with immunosuppressive activity. Phytochemistry. 214. 113823–113823. 12 indexed citations
10.
Zhang, Jinlong, Yinyan Huang, N. Zhou, et al.. (2023). Contribution of anthropogenic emission changes to the evolution of PM2.5 concentrations and composition in the Pearl River Delta during the period of 2006–2020. Atmospheric Environment. 318. 120228–120228. 9 indexed citations
11.
Meng, Ziyi, Xin Yuan, & Shirin Jalali. (2023). Deep Unfolding for Snapshot Compressive Imaging. International Journal of Computer Vision. 131(11). 2933–2958. 39 indexed citations
12.
Xu, Ping, et al.. (2023). Degradation-Aware Dynamic Fourier-Based Network for Spectral Compressive Imaging. IEEE Transactions on Multimedia. 26. 2838–2850. 8 indexed citations
13.
Zha, Zhiyuan, Bihan Wen, Xin Yuan, et al.. (2023). Multiple Complementary Priors for Multispectral Image Compressive Sensing Reconstruction. IEEE Transactions on Cybernetics. 54(5). 3338–3351. 6 indexed citations
14.
Yuan, Xin, et al.. (2023). An Image Generation Method of Unbalanced Ship Coating Defects Based on IGASEN-EMWGAN. Coatings. 13(3). 620–620. 4 indexed citations
15.
Shi, Hongshuo, et al.. (2023). Stem Cell Therapy for Diabetic Foot: An Umbrella Review of Systematic Reviews and Meta-Analyses. Advances in Wound Care. 13(5). 201–216. 3 indexed citations
16.
Xu, Feng, Kelin Hu, Siyuan Wang, et al.. (2022). ZIF-8 derived Ni(OH)2 hollow nanocages for non-enzymatic glucose electrochemical sensing. Journal of Materials Science. 57(39). 18589–18600. 19 indexed citations
17.
Yuan, Xin, David J. Brady, & Aggelos K. Katsaggelos. (2021). Snapshot Compressive Imaging: Theory, Algorithms, and Applications. IEEE Signal Processing Magazine. 38(2). 65–88. 242 indexed citations breakdown →
18.
Zha, Zhiyuan, Bihan Wen, Xin Yuan, et al.. (2021). A Hybrid Structural Sparsification Error Model for Image Restoration. IEEE Transactions on Neural Networks and Learning Systems. 33(9). 4451–4465. 45 indexed citations
19.
Jalali, Shirin & Xin Yuan. (2019). Snapshot Compressed Sensing: Performance Bounds and Algorithms. IEEE Transactions on Information Theory. 65(12). 8005–8024. 67 indexed citations
20.
Zha, Zhiyuan, Xin Yuan, Bihan Wen, Jiantao Zhou, & Ce Zhu. (2018). Joint Patch-Group Based Sparse Representation for Image Inpainting. Asian Conference on Machine Learning. 145–160. 6 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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