Quan Yu

1.7k total citations
92 papers, 1.4k citations indexed

About

Quan Yu is a scholar working on Spectroscopy, Biomedical Engineering and Analytical Chemistry. According to data from OpenAlex, Quan Yu has authored 92 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Spectroscopy, 38 papers in Biomedical Engineering and 31 papers in Analytical Chemistry. Recurrent topics in Quan Yu's work include Mass Spectrometry Techniques and Applications (59 papers), Analytical Chemistry and Chromatography (31 papers) and Analytical chemistry methods development (29 papers). Quan Yu is often cited by papers focused on Mass Spectrometry Techniques and Applications (59 papers), Analytical Chemistry and Chromatography (31 papers) and Analytical chemistry methods development (29 papers). Quan Yu collaborates with scholars based in China, Russia and Saudi Arabia. Quan Yu's co-authors include Wei Hang, Benli Huang, J. Y. Zhang, Zhiheng Huang, Lin Lin, Xiaohao Wang, Kai Ni, Xiang Qian, Jiaxin Zheng and Jian He and has published in prestigious journals such as Journal of the American Chemical Society, Analytical Chemistry and Scientific Reports.

In The Last Decade

Quan Yu

83 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Quan Yu China 20 743 384 320 313 196 92 1.4k
Liang Gao China 26 1.1k 1.5× 567 1.5× 409 1.3× 471 1.5× 120 0.6× 61 1.9k
Chunping Wu United States 22 1.6k 2.1× 753 2.0× 449 1.4× 469 1.5× 193 1.0× 37 2.3k
Yury Kostyukevich Russia 26 905 1.2× 565 1.5× 369 1.2× 356 1.1× 97 0.5× 103 1.7k
J. Larry Campbell Canada 30 1.8k 2.4× 1.3k 3.5× 213 0.7× 282 0.9× 53 0.3× 70 2.4k
Edward Voigtman United States 18 663 0.9× 366 1.0× 614 1.9× 403 1.3× 154 0.8× 62 1.9k
Richard H. Perry United States 18 623 0.8× 371 1.0× 105 0.3× 207 0.7× 38 0.2× 32 1.2k
Mark P. Barrow United Kingdom 32 1.4k 1.9× 547 1.4× 1.6k 5.0× 270 0.9× 1.1k 5.8× 105 3.3k
Alfred L. Yergey United States 25 829 1.1× 733 1.9× 226 0.7× 188 0.6× 25 0.1× 75 1.8k
Jørgen Mollerup Denmark 27 528 0.7× 580 1.5× 208 0.7× 1.6k 5.1× 132 0.7× 82 2.5k
Sandilya Garimella United States 28 2.0k 2.7× 846 2.2× 392 1.2× 355 1.1× 38 0.2× 56 2.2k

Countries citing papers authored by Quan Yu

Since Specialization
Citations

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

Fields of papers citing papers by Quan Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Quan Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Quan Yu. A scholar is included among the top collaborators of Quan Yu 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 Quan Yu. Quan Yu 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.
Lin, Lin, et al.. (2024). Explore the feasibility of electrospray ionization high-resolution mass spectrometry in elemental analysis. Spectrochimica Acta Part B Atomic Spectroscopy. 217. 106959–106959. 1 indexed citations
2.
Huang, Yang, et al.. (2024). Rapid classification of coffee origin by combining mass spectrometry analysis of coffee aroma with deep learning. Food Chemistry. 446. 138811–138811. 13 indexed citations
3.
Yang, Shuyuan, et al.. (2024). Structural annotation of unknown molecules in a miniaturized mass spectrometer based on a transformer enabled fragment tree method. Communications Chemistry. 7(1). 109–109. 5 indexed citations
4.
Yu, Quan, et al.. (2024). Enhancing Clinical Accuracy of Medical Chatbots With Large Language Models. IEEE Journal of Biomedical and Health Informatics. 29(9). 6395–6405. 6 indexed citations
5.
6.
Gao, Jing, et al.. (2023). Capillary self-aspirating electrospray ionization (CSESI) for convenient and versatile mass spectrometry analysis. Talanta. 266(Pt 1). 125008–125008. 2 indexed citations
7.
Yan, Yiyong, et al.. (2023). Deep learning enabled miniature mass spectrometer for rapid qualitative and quantitative analysis of pesticides on vegetable surfaces. Food and Chemical Toxicology. 180. 114000–114000. 10 indexed citations
8.
Huo, Xinming, et al.. (2022). Rapid screening of illegally added drugs in functional food using a miniature ion trap mass spectrometer. Food Chemistry. 386. 132808–132808. 22 indexed citations
9.
Zhang, Qian, et al.. (2021). Fabricating an Electrospray Ionization Chip Based on Induced Polarization and Liquid Splitting. Micromachines. 12(9). 1034–1034. 3 indexed citations
10.
Huo, Xinming, Yuan Tian, Lili Yang, et al.. (2021). Development of membrane inlet photoionization ion trap mass spectrometer for trace VOCs analysis. Talanta. 230. 122352–122352. 20 indexed citations
11.
Lin, Lin, et al.. (2020). Advancing serum peptidomic profiling by data-independent acquisition for clear-cell renal cell carcinoma detection and biomarker discovery. Journal of Proteomics. 215. 103671–103671. 18 indexed citations
12.
Lin, Lin, et al.. (2018). Fast quantitative urinary proteomic profiling workflow for biomarker discovery in kidney cancer. Clinical Proteomics. 15(1). 42–42. 20 indexed citations
13.
Ni, Kai, et al.. (2017). Reducing mass peak instability caused by the phase changes of RF and AC signals in a rectilinear ion-trap analyzer. Review of Scientific Instruments. 88(3). 34103–34103. 5 indexed citations
14.
Lin, Lin, Jiaxin Zheng, Quan Yu, et al.. (2017). High throughput and accurate serum proteome profiling by integrated sample preparation technology and single-run data independent mass spectrometry analysis. Journal of Proteomics. 174. 9–16. 60 indexed citations
15.
Qian, Xiang, Jie Xu, Cilong Yu, et al.. (2015). A Reliable and Simple Method for Fabricating a Poly(Dimethylsiloxane) Electrospray Ionization Chip with a Corner-Integrated Emitter. Sensors. 15(4). 8931–8944. 12 indexed citations
16.
Yu, Cilong, Xiang Qian, Yan Chen, et al.. (2015). Three-Dimensional Electro-Sonic Flow Focusing Ionization Microfluidic Chip for Mass Spectrometry. Micromachines. 6(12). 1890–1902. 14 indexed citations
17.
Ni, Kai, et al.. (2014). Study of ion transmission for a linear mode Bradbury–Nielsen gate in ion mobility spectrometer. International Journal of Mass Spectrometry. 379. 75–79. 4 indexed citations
18.
Huang, Rongfu, Quan Yu, Lingfeng Li, et al.. (2011). High irradiance laser ionization orthogonal time‐of‐flight mass spectrometry: A versatile tool for solid analysis. Mass Spectrometry Reviews. 30(6). 1256–1268. 38 indexed citations
19.
Lin, Lin, Quan Yu, Xiaomei Yan, et al.. (2010). Direct infusion mass spectrometry or liquid chromatography mass spectrometry for human metabonomics? A serum metabonomic study of kidney cancer. The Analyst. 135(11). 2970–2970. 126 indexed citations
20.
Huang, Desheng, Quan Yu, Miao He, & Baosen Zhou. (2009). Comparison of linear discriminant analysis methods for the classification of cancer based on gene expression data. Journal of Experimental & Clinical Cancer Research. 28(1). 149–149. 33 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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