Kui Xiang

1.0k citations
78 papers · 707 indexed · h-index 14
Topics
Muscle activation and electromyography studies (26 papers)Prosthetics and Rehabilitation Robotics (18 papers)Stroke Rehabilitation and Recovery (10 papers)
Journals
SHILAP Revista de lepidopterologíaIEEE AccessSensors
Partner nations
ChinaUnited KingdomJapan

In The Last Decade

Kui Xiang

71 papers receiving 691 citations

Peers

Kui Xiang
Comparison fields: 5 of 106
  • Biomedical Engineering 341
  • Computer Vision and Pattern Recognition 107
  • Electrical and Electronic Engineering 104
  • Control and Systems Engineering 100
  • Rehabilitation 77
Replace Matteo Lancini with:
Matteo Lancini Italy
Shinsuk Park South Korea
S. Parasuraman Malaysia
Ehsan T. Esfahani United States
Xiaodong Zhang China
Simone Pasinetti Italy
Kuangen Zhang China
Yuquan Leng China
Wenlong Zhang United States
Daisuke Chugo Japan
Kui Xiang relative to Matteo Lancini Italy Matteo Lancini's profile →
Citations per field
00.5×4.2×
Matteo Lancini · 1×
Citations per year

Countries citing papers authored by Kui Xiang

Since Specialization
Citations

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

Fields of papers citing papers by Kui Xiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kui Xiang

This figure shows the co-authorship network connecting the top 25 collaborators of Kui Xiang. A scholar is included among the top collaborators of Kui Xiang 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 Kui Xiang. Kui Xiang 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 11
4 0
5 4
6 1
7 47
8 21
9 1
10 4
11 35
12 9
13 11
14 12
15 1
16 7
17 19
18 19
19
Fast screening algorithm for electrical alternans in ECG based on dynamical pattern recognition framework
1
20 8

About Kui Xiang

Kui Xiang is a scholar working on Physical Therapy, Sports Therapy and Rehabilitation, Rehabilitation and Biomedical Engineering, having authored 78 papers that have together received 707 indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (26 papers), Prosthetics and Rehabilitation Robotics (18 papers) and Stroke Rehabilitation and Recovery (10 papers). The work is most often cited by research in Rehabilitation (77 citations), Human-Computer Interaction (61 citations) and Biomedical Engineering (341 citations). Kui Xiang has collaborated with scholars based in China, United Kingdom and Japan. Frequent co-authors include Muye Pang, Benyue Su, Jie Wang, Shuangqing Liu, Jing Jiang, Min Sheng, Zhaojie Ju, Honghai Liu, Bing Nan Li and Jing Chen. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

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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