Xiaoyan Mu

53 total papers · 560 total citations
43 papers, 432 citations indexed

About

Xiaoyan Mu is a scholar working on Spectroscopy, Computer Vision and Pattern Recognition and Media Technology. According to data from OpenAlex, Xiaoyan Mu has authored 43 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Spectroscopy, 10 papers in Computer Vision and Pattern Recognition and 8 papers in Media Technology. Recurrent topics in Xiaoyan Mu's work include Mass Spectrometry Techniques and Applications (12 papers), Face and Expression Recognition (10 papers) and Experimental Learning in Engineering (6 papers). Xiaoyan Mu is often cited by papers focused on Mass Spectrometry Techniques and Applications (12 papers), Face and Expression Recognition (10 papers) and Experimental Learning in Engineering (6 papers). Xiaoyan Mu collaborates with scholars based in United States, Hong Kong and China. Xiaoyan Mu's co-authors include Anthony Gar‐On Yeh, Xiaohu Zhang, Paul Watta, M.H. Hassoun, Ivan K. Chu, Chi‐Kit Siu, Bo Tang, Jiejing Wang, František Tureček and Wai Kit Tang and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and Analytical Chemistry.

In The Last Decade

Xiaoyan Mu

40 papers receiving 420 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Xiaoyan Mu	144	124	47	46	44	43	432
Kazuki Yoshizoe	39 0.3×	146 1.2×	25 0.5×	225 4.9×	21 0.5×	18	473
Debashis Mondal	192 1.3×	132 1.1×	2 0.0×	86 1.9×	30 0.7×	33	481
Jianbo Wang	37 0.3×	47 0.4×	6 0.1×	117 2.5×	87 2.0×	19	406
Zhiran Zhang	7 0.0×	82 0.7×	32 0.7×	153 3.3×	16 0.4×	38	489
Ivan Kryven	42 0.3×	78 0.6×	4 0.1×	76 1.7×	3 0.1×	34	431
P. A. Santoro	63 0.4×	26 0.2×	1 0.0×	74 1.6×	63 1.4×	22	406
Jing Wang	168 1.2×	79 0.6×	13 0.3×	237 5.2×	13 0.3×	29	446
Georgi Nikolaev	12 0.1×	108 0.9×	6 0.1×	17 0.4×	6 0.1×	28	455
Yohei Iwasaki	15 0.1×	53 0.4×	39 0.8×	97 2.1×	3 0.1×	32	487
Qiong Wu	80 0.6×	99 0.8×	22 0.5×	88 1.9×	9 0.2×	18	385

Countries citing papers authored by Xiaoyan Mu

Since Specialization

Citations

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

Fields of papers citing papers by Xiaoyan Mu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyan Mu

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

All Works

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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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