Xiaolin Huang

782 citations
32 papers · 519 indexed · h-index 12
Topics
Stroke Rehabilitation and Recovery (10 papers)Transcranial Magnetic Stimulation Studies (9 papers)Muscle activation and electromyography studies (8 papers)
Journals
SHILAP Revista de lepidopterologíaStrokeBrain Research
Partner nations
ChinaEgyptPakistan

In The Last Decade

Xiaolin Huang

31 papers receiving 504 citations

Peers

Xiaolin Huang
Comparison fields: 5 of 75
  • Neurology 191
  • Biomedical Engineering 191
  • Rehabilitation 188
  • Cognitive Neuroscience 90
  • Surgery 50
Replace Yu. P. Gerasimenko with:
Yu. P. Gerasimenko Russia
Dina I. Drubach United States
Giuseppe Lamola Italy
Meegan G. Van Straaten United States
Andrea Willhite United States
Cesar Lopez United States
Т. Р. Мошонкина Russia
Margaux B. Linde United States
Sonia M. Brodie Canada
Megan L. Gill United States
Xiaolin Huang relative to Yu. P. Gerasimenko Russia Yu. P. Gerasimenko's profile →
Citations per field
00.5×2.5×
Yu. P. Gerasimenko · 1×
Citations per year

Countries citing papers authored by Xiaolin Huang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolin Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaolin Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaolin Huang. A scholar is included among the top collaborators of Xiaolin Huang 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 Xiaolin Huang. Xiaolin Huang 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 1
2 0
3 2
4 7
5 6
6 9
7 24
8 8
9 3
10 62
11 3
12 32
13 3
14 6
15 86
16 26
17 21
18 6
19 39
20 4

About Xiaolin Huang

Xiaolin Huang is a scholar working on Rehabilitation, Neurology and Developmental Neuroscience, having authored 32 papers that have together received 519 indexed citations. Recurring topics across this work include Stroke Rehabilitation and Recovery (10 papers), Transcranial Magnetic Stimulation Studies (9 papers) and Muscle activation and electromyography studies (8 papers). The work is most often cited by research in Rehabilitation (188 citations), Neurology (191 citations) and Developmental Neuroscience (30 citations). Xiaolin Huang has collaborated with scholars based in China, Egypt and Pakistan. Frequent co-authors include Caihua Xiong, Feng Guo, Wenbin Chen, Xiaohua Han, Jicheng Lou, Youlun Xiong, Min Zhang, Fengxia Zhang, Yuanyuan Qin and Juanjuan Zhang. Their work appears in journals such as SHILAP Revista de lepidopterología, Stroke and Brain Research.

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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