Guangxiang Wu

611 total citations
10 papers, 486 citations indexed

About

Guangxiang Wu is a scholar working on Spectroscopy, Bioengineering and Food Science. According to data from OpenAlex, Guangxiang Wu has authored 10 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Spectroscopy, 3 papers in Bioengineering and 3 papers in Food Science. Recurrent topics in Guangxiang Wu's work include Mass Spectrometry Techniques and Applications (8 papers), Pesticide Residue Analysis and Safety (3 papers) and Analytical chemistry methods development (3 papers). Guangxiang Wu is often cited by papers focused on Mass Spectrometry Techniques and Applications (8 papers), Pesticide Residue Analysis and Safety (3 papers) and Analytical chemistry methods development (3 papers). Guangxiang Wu collaborates with scholars based in United States, Germany and China. Guangxiang Wu's co-authors include R. Graham Cooks, Zheng Ouyang, W. R. Plaß, Yishu Song, Hongyan Li, Matthew G. Blain, Leah S. Riter, Daniel E. Austin, Meng Yu and William J. Chappell and has published in prestigious journals such as Analytical Chemistry, Sensors and Journal of the American Society for Mass Spectrometry.

In The Last Decade

Guangxiang Wu

10 papers receiving 475 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Guangxiang Wu United States	7	445	176	109	89	70	10	486
Samuel E. Tolley United States	7	422 0.9×	238 1.4×	125 1.1×	75 0.8×	39 0.6×	8	504
Garth E. Patterson United States	10	575 1.3×	221 1.3×	160 1.5×	108 1.2×	36 0.5×	12	631
Stephen A. Lammert United States	15	695 1.6×	249 1.4×	217 2.0×	146 1.6×	84 1.2×	38	855
Jeffrey D. Maas United States	5	301 0.7×	171 1.0×	103 0.9×	41 0.5×	85 1.2×	7	415
Dunmin Mao Canada	9	402 0.9×	95 0.5×	66 0.6×	66 0.7×	81 1.2×	11	533
Yishu Song United States	9	502 1.1×	174 1.0×	129 1.2×	57 0.6×	28 0.4×	13	626
M. Yu. Sudakov Russia	10	320 0.7×	87 0.5×	38 0.3×	50 0.6×	120 1.7×	21	377
J. Franzen Germany	14	469 1.1×	94 0.5×	147 1.3×	108 1.2×	155 2.2×	25	610
S. Kumashiro Japan	9	323 0.7×	69 0.4×	59 0.5×	42 0.5×	46 0.7×	17	402

Countries citing papers authored by Guangxiang Wu

Since Specialization

Citations

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

Fields of papers citing papers by Guangxiang Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangxiang Wu

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

All Works

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10 of 10 papers shown

Shou, Zhaoyu, et al.. (2024). A Student Facial Expression Recognition Model Based on Multi-Scale and Deep Fine-Grained Feature Attention Enhancement. Sensors. 24(20). 6748–6748. 1 indexed citations

Shou, Zhaoyu, Guangxiang Wu, & Tong Zhang. (2014). Image super-resolution via PCA sub-dictionaries enhanced with non-local similarity. 55. 332–336. 1 indexed citations

Wu, Guangxiang, Robert J. Noll, W. R. Plaß, et al.. (2006). Ion trajectory simulations of axial ac dipolar excitation in the Orbitrap. International Journal of Mass Spectrometry. 254(1-2). 53–62. 11 indexed citations

Song, Yishu, Guangxiang Wu, Qingyu Song, et al.. (2006). Novel linear ion trap mass analyzer composed of four planar electrodes. Journal of the American Society for Mass Spectrometry. 17(4). 631–639. 22 indexed citations

Wu, Guangxiang, R. Graham Cooks, Zheng Ouyang, et al.. (2006). Ion trajectory simulation for electrode configurations with arbitrary geometries. Journal of the American Society for Mass Spectrometry. 17(9). 1216–1228. 32 indexed citations

Noll, Robert J., Qiaoyan Hu, Richard H. Perry, et al.. (2006). Driving Ion Axial Motion in the Orbitrap Mass Analyzer. NSUWorks (Nova Southeastern University). 1 indexed citations

Wu, Guangxiang, R. Graham Cooks, & Zheng Ouyang. (2005). Geometry optimization for the cylindrical ion trap: field calculations, simulations and experiments. International Journal of Mass Spectrometry. 241(2-3). 119–132. 75 indexed citations

Zhang, Chao, et al.. (2005). Instrumentation and methods for ion and reaction monitoring using a non-scanning rectilinear ion trap. International Journal of Mass Spectrometry. 255-256. 1–10. 16 indexed citations

Ouyang, Zheng, Guangxiang Wu, Yishu Song, et al.. (2004). Rectilinear Ion Trap: Concepts, Calculations, and Analytical Performance of a New Mass Analyzer. Analytical Chemistry. 76(16). 4595–4605. 216 indexed citations

10.

Blain, Matthew G., Leah S. Riter, Daniel E. Austin, et al.. (2004). Towards the hand-held mass spectrometer: design considerations, simulation, and fabrication of micrometer-scaled cylindrical ion traps. International Journal of Mass Spectrometry. 236(1-3). 91–104. 111 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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