Liuxian Wang

597 total citations
16 papers, 402 citations indexed

About

Liuxian Wang is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Neurology. According to data from OpenAlex, Liuxian Wang has authored 16 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Cognitive Neuroscience and 4 papers in Neurology. Recurrent topics in Liuxian Wang's work include Advanced Neuroimaging Techniques and Applications (10 papers), Functional Brain Connectivity Studies (6 papers) and Moyamoya disease diagnosis and treatment (3 papers). Liuxian Wang is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (10 papers), Functional Brain Connectivity Studies (6 papers) and Moyamoya disease diagnosis and treatment (3 papers). Liuxian Wang collaborates with scholars based in China and Australia. Liuxian Wang's co-authors include Yibin Xi, Long‐Biao Cui, Hong Yin, Huaning Wang, Ping Tian, Fan Guo, Chen Li, Wenming Liu, Kang Liu and Li Guo and has published in prestigious journals such as Scientific Reports, Neuroscience and Journal of neurosurgery.

In The Last Decade

Liuxian Wang

16 papers receiving 396 citations

Peers

Liuxian Wang
Comparison fields: 5 of 55
  • Cognitive Neuroscience 256
  • Radiology, Nuclear Medicine and Imaging 196
  • Psychiatry and Mental health 87
  • Experimental and Cognitive Psychology 54
  • Pulmonary and Respiratory Medicine 32
Replace Tun‐Wei Hsu with:
Tun‐Wei Hsu Taiwan
Yi Liang China
Alexander D. Cohen United States
Ryuta Kinno Japan
Xinyue Huang China
Xiangzhu Zeng China
Francesca Schiavone United Kingdom
Caroline Malherbe Germany
Yanqing Tang China
JL Lancaster United States
Tun‐Wei Hsu Taiwan View profile →
Citations per field, relative to Liuxian Wang
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Citations per year, relative to Liuxian Wang
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Countries citing papers authored by Liuxian Wang

Since Specialization
Citations

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

Fields of papers citing papers by Liuxian Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liuxian Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Liuxian Wang. A scholar is included among the top collaborators of Liuxian Wang 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 Liuxian Wang. Liuxian Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
# Work Indexed citations
1 1
2 1
3 7
4 7
5 29
6 31
7 25
8 12
9 55
10 18
11 18
12 5
13 113
14 52
15 11
16 17

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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