Yufeng Yuan

3.8k total citations
50 papers, 816 citations indexed

About

Yufeng Yuan is a scholar working on Biomedical Engineering, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Yufeng Yuan has authored 50 papers receiving a total of 816 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Biomedical Engineering, 22 papers in Molecular Biology and 10 papers in Materials Chemistry. Recurrent topics in Yufeng Yuan's work include Plasmonic and Surface Plasmon Research (14 papers), Advanced biosensing and bioanalysis techniques (9 papers) and Gold and Silver Nanoparticles Synthesis and Applications (8 papers). Yufeng Yuan is often cited by papers focused on Plasmonic and Surface Plasmon Research (14 papers), Advanced biosensing and bioanalysis techniques (9 papers) and Gold and Silver Nanoparticles Synthesis and Applications (8 papers). Yufeng Yuan collaborates with scholars based in China, Singapore and France. Yufeng Yuan's co-authors include Junle Qu, Jun Song, Ken‐Tye Yong, Xiantong Yu, Shuwen Zeng, Xiao Peng, Jianhua Xu, Swee Chuan Tjin, Nishtha Panwar and Kai Zheng and has published in prestigious journals such as Analytical Chemistry, Coordination Chemistry Reviews and Journal of Controlled Release.

In The Last Decade

Yufeng Yuan

47 papers receiving 799 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yufeng Yuan China 15 462 234 227 206 203 50 816
Maung Kyaw Khaing Oo United States 19 837 1.8× 318 1.4× 366 1.6× 339 1.6× 413 2.0× 27 1.4k
Betty C. Galarreta Peru 15 772 1.7× 431 1.8× 424 1.9× 87 0.4× 220 1.1× 28 1.0k
Ian Bruzas United States 10 482 1.0× 413 1.8× 398 1.8× 198 1.0× 99 0.5× 10 830
Giorgia Giovannini Switzerland 15 493 1.1× 301 1.3× 318 1.4× 230 1.1× 108 0.5× 28 910
Regivaldo G. Sobral-Filho Canada 10 309 0.7× 315 1.3× 164 0.7× 125 0.6× 44 0.2× 11 535
Fani Madzharova Germany 11 225 0.5× 302 1.3× 211 0.9× 163 0.8× 69 0.3× 24 607
Graeme McNay United Kingdom 9 338 0.7× 424 1.8× 254 1.1× 136 0.7× 52 0.3× 11 662
Adelaide Miranda Portugal 10 300 0.6× 249 1.1× 299 1.3× 274 1.3× 69 0.3× 20 770
Ruohu Zhang China 20 554 1.2× 488 2.1× 390 1.7× 245 1.2× 415 2.0× 63 1.1k

Countries citing papers authored by Yufeng Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Yufeng Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yufeng Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Yufeng Yuan. A scholar is included among the top collaborators of Yufeng 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 Yufeng Yuan. Yufeng 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.
Qu, Haoran, Yan Xie, Shan Hu, et al.. (2025). HBV upregulates TNNT1 expression through PI3K/AKT/mTOR-c-Myc axis, which in turn induces EMT and liver fibrosis in mice. Cellular Signalling. 134. 111899–111899.
3.
He, Xiaoyong, et al.. (2024). Rapid and accurate identification of steel alloys by femtosecond laser-ablation spark-induced breakdown spectroscopy and machine learning. Spectrochimica Acta Part B Atomic Spectroscopy. 220. 107031–107031. 1 indexed citations
4.
He, Lin, Guiwen Wang, Liwei Liu, et al.. (2024). Rapid and accurate identification of marine bacteria spores at a single‐cell resolution by laser tweezers Raman spectroscopy and deep learning. Journal of Biophotonics. 17(5). e202300510–e202300510. 5 indexed citations
5.
Ma, Cunbao, et al.. (2024). Mid-infrared deep subwavelength confinement in graphene plasmonic waveguides. Diamond and Related Materials. 144. 111046–111046. 3 indexed citations
6.
Chen, Fangfang, Yihan Li, Ziwei Ma, et al.. (2024). A sensing platform for highly sensitive immunoassay based on metal-enhanced fluorescence of CdSe@ZnS. Sensors and Actuators B Chemical. 408. 135537–135537. 7 indexed citations
7.
Yuan, Yufeng, et al.. (2024). Phase-tilting and rotation interferometry for dynamic optical measurement. Optics & Laser Technology. 174. 110574–110574.
8.
Li, Yongping, Xiaoyu Weng, Yiping Wang, et al.. (2023). Rhenium diselenide nanosheets as an excellent bi-color probe for intracellular two-photon imaging. Optics and Lasers in Engineering. 171. 107817–107817. 5 indexed citations
9.
Zheng, Kai, et al.. (2023). Sensitivity enhanced tunable plasmonic biosensor using two‐dimensional twisted bilayer graphene superlattice. Nanophotonics. 12(7). 1271–1284. 14 indexed citations
10.
Ma, Cunbao, et al.. (2023). Highly confined low-loss light transmission in linear array-enabled hybrid plasmonic waveguides. Journal of Optics. 25(6). 65802–65802. 12 indexed citations
11.
Zhang, Xiujuan, et al.. (2023). Highly sensitive plasmonic biosensor enhanced by perovskite-graphene hybrid configuration. Journal of Optics. 25(7). 75002–75002. 5 indexed citations
12.
Du, Fu‐Sheng, Lin He, Xiaoxu Lü, Yong-qing Li, & Yufeng Yuan. (2022). Accurate identification of living Bacillus spores using laser tweezers Raman spectroscopy and deep learning. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 289. 122216–122216. 11 indexed citations
13.
Zheng, Kai, et al.. (2022). Sensitivity Enhanced Plasmonic Biosensor Using Bi2Se3-Graphene Heterostructures: A Theoretical Analysis. Nanomaterials. 12(22). 4078–4078. 10 indexed citations
14.
Tian, Ming, Peng Xia, Zhang Chen, et al.. (2022). Multi-omics analysis revealed the role of extracellular vesicles in hepatobiliary & pancreatic tumor. Journal of Controlled Release. 350. 11–25. 8 indexed citations
15.
Liu, Weifang, Chengzhang Yang, Feng Wan, et al.. (2021). Risk factors for COVID-19 progression and mortality in hospitalized patients without pre-existing comorbidities. Journal of Infection and Public Health. 15(1). 13–20. 30 indexed citations
16.
Peng, Xiao, Yingxin Zhou, Kaixuan Nie, et al.. (2020). Promising near-infrared plasmonic biosensor employed for specific detection of SARS-CoV-2 and its spike glycoprotein. New Journal of Physics. 22(10). 103046–103046. 49 indexed citations
17.
Zheng, Kai, Yufeng Yuan, Litao Zhao, et al.. (2019). Ultra-compact, low-loss terahertz waveguide based on graphene plasmonic technology. 2D Materials. 7(1). 15016–15016. 28 indexed citations
18.
Li, Yongping, Xiao Peng, Jun Song, et al.. (2019). Ultrasensitive Deep-Ultraviolet Surface Plasmon Resonance Sensors Using Aluminum-Graphene Metasurface: a Theoretical Insight. Plasmonics. 15(1). 135–143. 2 indexed citations
19.
Jiang, Ping, et al.. (2016). Expression of Scavenger receptor class A, member 5 protein in hepatocellular carcinoma and the relationship with promoter methylation. Zhonghua shiyan waike zazhi. 33(5). 1318–1321. 1 indexed citations
20.
Su, Liangbi, et al.. (2013). Femtosecond laser-inscribed waveguides in Nd3+:Y3+:SrF2 crystals. Chinese Optics Letters. 11(11). 112301–112301. 4 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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