Xiaoying Wu

72 total papers · 670 total citations
46 papers, 470 citations indexed

About

Xiaoying Wu is a scholar working on Biomedical Engineering, Cognitive Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Xiaoying Wu has authored 46 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Biomedical Engineering, 13 papers in Cognitive Neuroscience and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Xiaoying Wu's work include Muscle activation and electromyography studies (12 papers), EEG and Brain-Computer Interfaces (10 papers) and Neuroscience and Neural Engineering (6 papers). Xiaoying Wu is often cited by papers focused on Muscle activation and electromyography studies (12 papers), EEG and Brain-Computer Interfaces (10 papers) and Neuroscience and Neural Engineering (6 papers). Xiaoying Wu collaborates with scholars based in China, United States and Canada. Xiaoying Wu's co-authors include Xiaofeng Sun, Yanfeng Shen, Xiaohong Chen, Cheng Gong, Yan Xiong, Long Bai, Baocheng Wang, Wensheng Hou, Zhigang Lu and Xin Li and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Power Electronics and IEEE Access.

In The Last Decade

Xiaoying Wu

40 papers receiving 459 citations

Author Peers

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

Author						Papers	Cites
Xiaoying Wu	148	146	135	104	47	46	470
István Bíró	139 0.9×	62 0.4×	87 0.6×	135 1.3×	35 0.7×	30	484
Chong Wang	87 0.6×	58 0.4×	96 0.7×	33 0.3×	43 0.9×	24	524
Chen Xie	63 0.4×	35 0.2×	113 0.8×	75 0.7×	21 0.4×	56	443
Xiansheng Qin	168 1.1×	60 0.4×	46 0.3×	69 0.7×	28 0.6×	58	549
Fahad Almaskari	284 1.9×	64 0.4×	111 0.8×	101 1.0×	16 0.3×	41	456
Sérgio Francisco Pichorim	47 0.3×	31 0.2×	233 1.7×	170 1.6×	57 1.2×	38	440
Qiang Ma	310 2.1×	29 0.2×	42 0.3×	224 2.2×	46 1.0×	27	475
David Blanco	189 1.3×	146 1.0×	68 0.5×	79 0.8×	8 0.2×	27	445
Xiong Yan	105 0.7×	73 0.5×	122 0.9×	273 2.6×	24 0.5×	27	541
Ahmed Jaffar	139 0.9×	23 0.2×	33 0.2×	112 1.1×	36 0.8×	59	531

Countries citing papers authored by Xiaoying Wu

Since Specialization

Citations

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

Fields of papers citing papers by Xiaoying Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoying Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoying Wu. A scholar is included among the top collaborators of Xiaoying 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 Xiaoying Wu. Xiaoying 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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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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