Xiaolin Huo

590 citations
44 papers · 506 · h-index 14

Impact in

Papers in

Xiaolin Huo

39 papers receiving 501 citations

Peers

Xiaolin Huo
Comparison fields: 5 of 66
  • Psychiatry and Mental health 162
  • Cognitive Neuroscience 176
  • Neurology 61
  • Cellular and Molecular Neuroscience 115
  • Biophysics 27
Replace Francis Odeh with:
Francis Odeh Norway
Jeremy J. Theriot United States
Fanny Munsch France
Laura Parisi Italy
Hyoung-Ihl Kim South Korea
Tsung‐Hsun Hsieh Taiwan
Paolo Misci Italy
Edoardo Mazzucchi Italy
Yu‐Rong Gao United States
Bornali Kundu United States
Xiaolin Huo relative to Francis Odeh Norway Francis Odeh's profile →
Citations per field
00.5×2×3×3.7×
Francis Odeh · 1×
Citations per year

Countries citing papers authored by Xiaolin Huo

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolin Huo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaolin Huo, 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 Xiaolin Huo Line = papers co-authored together Xiaolin Huo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200973
2 200957
3 201033
4 200928
5 200628
6 200827
7 200926
8 201722
9 201421
10 201420
11 201020
12 201119
13 200519
14 201519
15 20189
16 20169
17 20058
18 20137
19 20157
20 20136

About Xiaolin Huo

Xiaolin Huo is a scholar working on Pathology and Forensic Medicine, Neurology, Cellular and Molecular Neuroscience, Cognitive Neuroscience and Biomedical Engineering, having authored 44 papers that have together received 506 indexed citations. Recurring topics across this work include Spinal Cord Injury Research (12 papers), Muscle activation and electromyography studies (8 papers), Transcranial Magnetic Stimulation Studies (8 papers), Functional Brain Connectivity Studies (6 papers), Neuroscience and Neural Engineering (5 papers), EEG and Brain-Computer Interfaces (5 papers), Nerve injury and regeneration (5 papers) and Planarian Biology and Electrostimulation (5 papers). The work is most often cited by research in Psychiatry and Mental health (162 citations), Cognitive Neuroscience (176 citations), Neurology (61 citations), Cellular and Molecular Neuroscience (115 citations) and Biophysics (27 citations). Xiaolin Huo has collaborated with scholars based in China and United States. Frequent co-authors include Jing Xiang, Yingying Wang, Douglas F. Rose, Ton J. deGrauw, Rupesh R Kotecha, Hisako Fujiwara, Nat Hemasilpin, Cheng Zhang, Tao Song and Blaise V. Jones. Their work appears in journals such as Bio-Medical Materials and Engineering, Bioelectromagnetics, Brain and Development, Scientific Reports and International Journal of Psychophysiology.

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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