Xiangyu Long

3.8k citations
44 papers · 3.0k indexed · 1 hit paper · h-index 20
Topics
Functional Brain Connectivity Studies (20 papers)Advanced Neuroimaging Techniques and Applications (13 papers)Neonatal and fetal brain pathology (8 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONENeuroImage
Partner nations
CanadaUnited StatesChina

In The Last Decade

Xiangyu Long

37 papers receiving 3.0k citations

Hit Papers

REST: A Toolkit for Resting-State Functional Magnetic Res...2011202620162021201150010001.5k

Peers

Xiangyu Long
Comparison fields: 5 of 125
  • Cognitive Neuroscience 2.2k
  • Radiology, Nuclear Medicine and Imaging 870
  • Psychiatry and Mental health 533
  • Experimental and Cognitive Psychology 429
  • Complementary and alternative medicine 297
Replace Steven M. Hodge with:
Steven M. Hodge United States
Choong‐Wan Woo South Korea
Aaron Kucyi United States
Yiheng Tu China
Stan Colcombe United States
Karleyton C. Evans United States
Yijun Liu United States
Konrad Maurer Germany
Xiangyu Long relative to Steven M. Hodge United States Steven M. Hodge's profile →
Citations per field
00.5×1.5×
Steven M. Hodge · 1×
Citations per year

Countries citing papers authored by Xiangyu Long

Since Specialization
Citations

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

Fields of papers citing papers by Xiangyu Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiangyu Long

This figure shows the co-authorship network connecting the top 25 collaborators of Xiangyu Long. A scholar is included among the top collaborators of Xiangyu Long 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 Xiangyu Long. Xiangyu Long 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 0
2 0
3 0
4 0
5 0
6 1
7 0
8 3
9 2
10 5
11 3
12 2
13 1
14 27
15 27
16 15
17 13
18 32
19 265
20 121

About Xiangyu Long

Xiangyu Long is a scholar working on Cognitive Neuroscience, Pediatrics, Perinatology and Child Health and Radiology, Nuclear Medicine and Imaging, having authored 44 papers that have together received 3.0k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (20 papers), Advanced Neuroimaging Techniques and Applications (13 papers) and Neonatal and fetal brain pathology (8 papers). The work is most often cited by research in Cognitive Neuroscience (2.2k citations), Radiology, Nuclear Medicine and Imaging (870 citations) and Complementary and alternative medicine (297 citations). Xiangyu Long has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Yu‐Feng Zang, Chaozhe Zhu, Xi‐Nian Zuo, Yong He, Chao‐Gan Yan, Xiaowei Song, Zhang-Ye Dong, Sufang Li, Catherine Lebel and Qihong Zou. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

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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