Yuexi Huang

6.3k citations
72 papers · 4.6k indexed · 4 hit papers · h-index 31

Yuexi Huang

71 papers receiving 4.6k citations

Hit Papers

Blood-Brain Barrier Opening in Primary Brain T...4642013202620172021200400600

Peers

Yuexi Huang
Comparison fields: 5 of 110
  • Radiology, Nuclear Medicine and Imaging 2.2k
  • Biomedical Engineering 3.3k
  • Neurology 484
  • Neurology 868
  • Cellular and Molecular Neuroscience 552
Replace Ying Meng with:
Ying Meng Canada
Chris Heyn Canada
Meaghan A. O’Reilly Canada
Natalia Vykhodtseva United States
Alexandre Carpentier France
Jiun‐Jie Wang Taiwan
Jens Wuerfel Germany
Bobbi K. Lewis United States
Tobias Engelhorn Germany
Allison Bethune Canada
Yuexi Huang relative to Ying Meng Canada Ying Meng's profile →
Citations per field
00.5×4.1×
Ying Meng · 1×
Citations per year

Countries citing papers authored by Yuexi Huang

Since Specialization
Citations

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

Fields of papers citing papers by Yuexi Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20254
3 202316
4 202130
5 2021139
6 20205
7 202067
8 20176
9 201698
10 201458
11
MR-guided focused ultrasound thalamotomy for essential tremor: a proof-of-concept studybreakdown →
2013425
12 2013252
13 201275
14 2010313
15 201072
16 201020
17 2010118
18 200922
19 20066
20 20056

About Yuexi Huang

Yuexi Huang is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Neurology, having authored 72 papers that have together received 4.6k indexed citations. Recurring topics across this work include Ultrasound and Hyperthermia Applications (48 papers), Advanced MRI Techniques and Applications (26 papers), Ultrasound Imaging and Elastography (25 papers), Photoacoustic and Ultrasonic Imaging (13 papers), Neurological disorders and treatments (10 papers), MRI in cancer diagnosis (8 papers), Ultrasound and Cavitation Phenomena (8 papers) and Neuroscience and Neural Engineering (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (2.2k citations), Biomedical Engineering (3.3k citations) and Neurology (484 citations). Yuexi Huang has collaborated with scholars based in Canada, United States and Finland. Frequent co-authors include Kullervo Hynynen, Nir Lipsman, Ying Meng, Isabelle Aubert, Michael L. Schwartz, Chris Heyn, Allison Bethune, Andrés M. Lozano, Sandra E. Black and Clement Hamani. Their work appears in journals such as Nature Communications, PLoS ONE and Annals of Neurology.

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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