X.X. Wei

48 papers receiving 1.3k citations

Peers

X.X. Wei
Comparison fields: 5 of 104
  • Rehabilitation 517
  • Civil and Structural Engineering 406
  • Neurology 174
  • Cognitive Neuroscience 209
  • Biomedical Engineering 460
Replace Marco Troncossi with:
Marco Troncossi Italy
Bruno Dehez Belgium
Wei-Chun Hsu Taiwan
Weijun Tao China
Hideyuki Hirata Japan
Rafhael M. Andrade Brazil
Hidenori Ishihara Japan
Mickaël Begon Canada
Leonardo Cappello Italy
Glenn K. Klute United States
X.X. Wei relative to Marco Troncossi Italy Marco Troncossi's profile →
Citations per field
00.5×5.6×
Marco Troncossi · 1×
Citations per year

Countries citing papers authored by X.X. Wei

Since Specialization
Citations

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

Fields of papers citing papers by X.X. Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside X.X. Wei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with X.X. Wei Line = papers co-authored together X.X. Wei links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011229
2 2003115
3 2001111
4 2013105
5 2010104
6 200094
7 201157
8 201743
9 200043
10 199939
11 201332
12 201630
13 199930
14 200127
15 201826
16 201419
17 200019
18 200918
19 200216
20 200914

About X.X. Wei

X.X. Wei is a scholar working on Civil and Structural Engineering, Rehabilitation, Mechanics of Materials, Biomedical Engineering and Materials Chemistry, having authored 52 papers that have together received 1.3k indexed citations. Recurring topics across this work include Stroke Rehabilitation and Recovery (15 papers), Botulinum Toxin and Related Neurological Disorders (6 papers), Geotechnical Engineering and Underground Structures (6 papers), Muscle activation and electromyography studies (6 papers), Fatigue and fracture mechanics (5 papers), Musculoskeletal pain and rehabilitation (5 papers), EEG and Brain-Computer Interfaces (5 papers) and Rock Mechanics and Modeling (5 papers). The work is most often cited by research in Rehabilitation (517 citations), Civil and Structural Engineering (406 citations), Neurology (174 citations), Cognitive Neuroscience (209 citations) and Biomedical Engineering (460 citations). X.X. Wei has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include K.T. Chau, Xiaoling Hu, Raymond Kai‐Yu Tong, Evan A. Susanto, W. Rong, R.H.C. Wong, Xuyun Guo, Tongxi Yu, Kenneth N. K. Fong and Wing-kin Tam. Their work appears in journals such as International Journal of Solids and Structures, Journal of Engineering Mechanics, Journal of NeuroEngineering and Rehabilitation, International Journal of Mechanical Sciences and Mechanics of Advanced Materials and Structures.

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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