Xuejun Hao

4.1k citations
67 papers · 3.0k · h-index 32

Impact in

Papers in

Xuejun Hao

65 papers receiving 2.9k citations

Peers

Xuejun Hao
Comparison fields: 5 of 177
  • Cognitive Neuroscience 1.1k
  • Computer Graphics and Computer-Aided Design 146
  • Health, Toxicology and Mutagenesis 470
  • Psychiatry and Mental health 508
  • Computational Mathematics 16
Replace Shantanu H. Joshi with:
Shantanu H. Joshi United States
Eric Kan United States
Marc Tittgemeyer Germany
Sarah K. Madsen United States
Govinda Poudel Australia
Zdenka Pausová Canada
José M. Maisog United States
Rachel M. Brouwer Netherlands
Ravi Duggirala United States
Gabriel Leonard Canada
Xuejun Hao relative to Shantanu H. Joshi United States Shantanu H. Joshi's profile →
Citations per field
00.5×10×14.7×
Shantanu H. Joshi · 1×
Citations per year

Countries citing papers authored by Xuejun Hao

Since Specialization
Citations

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

Fields of papers citing papers by Xuejun Hao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012340
2 2015274
3 2009192
4 2012152
5 2010139
6 2012111
7 2013101
8 200798
9 201083
10 200976
11 201471
12 201166
13 202263
14 201361
15 201055
16 201151
17 201050
18 200846
19 201346
20 200445

About Xuejun Hao

Xuejun Hao is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Psychiatry and Mental health, Pediatrics, Perinatology and Child Health and Clinical Psychology, having authored 67 papers that have together received 3.0k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (27 papers), Advanced Neuroimaging Techniques and Applications (18 papers), Computer Graphics and Visualization Techniques (7 papers), Advanced MRI Techniques and Applications (6 papers), Neural and Behavioral Psychology Studies (6 papers), Obsessive-Compulsive Spectrum Disorders (5 papers), Neurotransmitter Receptor Influence on Behavior (4 papers) and 3D Shape Modeling and Analysis (4 papers). The work is most often cited by research in Cognitive Neuroscience (1.1k citations), Computer Graphics and Computer-Aided Design (146 citations), Health, Toxicology and Mutagenesis (470 citations), Psychiatry and Mental health (508 citations) and Computational Mathematics (16 citations). Xuejun Hao has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Bradley S. Peterson, Ravi Bansal, Dongrong Xu, Myrna M. Weissman, Amitabh Varshney, Frederica P. Perera, Virginia Rauh, Jun Liu, Hongtu Zhu and Priya Wickramaratne. Their work appears in journals such as Magnetic Resonance Imaging, JAMA Psychiatry, Psychiatry Research Neuroimaging, American Journal of Psychiatry and Human Brain Mapping.

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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