Xinjun Sheng

5.4k citations
218 papers · 3.9k indexed · 1 hit paper · h-index 34
Topics
Muscle activation and electromyography studies (112 papers)EEG and Brain-Computer Interfaces (101 papers)Neuroscience and Neural Engineering (90 papers)

In The Last Decade

Xinjun Sheng

204 papers receiving 3.8k citations

Hit Papers

A soft neuroprosthetic hand providing simultaneous myoele...20212026202220242021100200300

Peers

Xinjun Sheng
Comparison fields: 5 of 114
  • Biomedical Engineering 2.5k
  • Cognitive Neuroscience 2.1k
  • Cellular and Molecular Neuroscience 1.3k
  • Human-Computer Interaction 616
  • Control and Systems Engineering 430
Replace Strahinja Došen with:
Strahinja Došen Denmark
Hiroshi Yokoi Japan
Claudio Castellini Germany
Erik Scheme Canada
Marco Controzzi Italy
Teodiano Bastos-Filho Brazil
Christian Cipriani Italy
Dingguo Zhang China
José M. Azorín Spain
Xiang Chen China
Xinjun Sheng relative to Strahinja Došen Denmark Strahinja Došen's profile →
Citations per field
00.5×1.5×2.0×
Strahinja Došen · 1×
Citations per year

Countries citing papers authored by Xinjun Sheng

Since Specialization
Citations

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

Fields of papers citing papers by Xinjun Sheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinjun Sheng

This figure shows the co-authorship network connecting the top 25 collaborators of Xinjun Sheng. A scholar is included among the top collaborators of Xinjun Sheng 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 Xinjun Sheng. Xinjun Sheng 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
#WorkIndexed citations
1 0
2 0
3 0
4 4
5 1
6 2
7 1
8 7
9 9
10 29
11 16
12 12
13 2
14 6
15 4
16 0
17 5
18 34
19 73
20 11

About Xinjun Sheng

Xinjun Sheng is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Human-Computer Interaction, having authored 218 papers that have together received 3.9k indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (112 papers), EEG and Brain-Computer Interfaces (101 papers) and Neuroscience and Neural Engineering (90 papers). The work is most often cited by research in Human-Computer Interaction (616 citations), Cognitive Neuroscience (2.1k citations) and Cellular and Molecular Neuroscience (1.3k citations). Xinjun Sheng has collaborated with scholars based in China, Canada and United Kingdom. Frequent co-authors include Xiangyang Zhu, Dingguo Zhang, Weichao Guo, Ning Jiang, Dario Farina, Lin Yao, Jiayuan He, Yang Yu, Chen Chen and Jianjun Meng. Their work appears in journals such as PLoS ONE, NeuroImage and Carbon.

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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