Xuejun Hao

4.1k total citations
67 papers, 3.0k citations indexed

About

Xuejun Hao is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Psychiatry and Mental health. According to data from OpenAlex, Xuejun Hao has authored 67 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Cognitive Neuroscience, 19 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Psychiatry and Mental health. Recurrent topics in Xuejun Hao's work include Functional Brain Connectivity Studies (27 papers), Advanced Neuroimaging Techniques and Applications (18 papers) and Computer Graphics and Visualization Techniques (7 papers). Xuejun Hao is often cited by papers focused on Functional Brain Connectivity Studies (27 papers), Advanced Neuroimaging Techniques and Applications (18 papers) and Computer Graphics and Visualization Techniques (7 papers). Xuejun Hao collaborates with scholars based in United States, China and Canada. Xuejun Hao's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

Xuejun Hao

65 papers receiving 2.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Xuejun Hao United States 32 1.1k 525 508 470 405 67 3.0k
Olivier Boucher Canada 24 1.1k 1.0× 158 0.3× 657 1.3× 693 1.5× 262 0.6× 58 2.9k
Janie Corley United Kingdom 37 1.1k 1.0× 325 0.6× 1.2k 2.3× 608 1.3× 672 1.7× 92 5.5k
Leila Haddad Germany 18 2.1k 2.0× 432 0.8× 453 0.9× 485 1.0× 558 1.4× 22 4.1k
Mary Beth Nebel United States 28 2.2k 2.0× 301 0.6× 592 1.2× 376 0.8× 682 1.7× 54 3.2k
Simon R. Cox United Kingdom 38 1.8k 1.7× 254 0.5× 977 1.9× 660 1.4× 1.3k 3.1× 173 5.6k
Zdenka Pausová Canada 43 777 0.7× 267 0.5× 286 0.6× 332 0.7× 514 1.3× 142 5.2k
James H. Cole United Kingdom 40 2.3k 2.1× 199 0.4× 1.2k 2.3× 578 1.2× 1.4k 3.4× 159 6.4k
Marcel Romanos Germany 35 1.3k 1.2× 1.1k 2.1× 1.8k 3.6× 383 0.8× 76 0.2× 189 4.3k
Fabian Streit Germany 21 344 0.3× 333 0.6× 293 0.6× 503 1.1× 75 0.2× 86 2.4k
Tian Ge United States 28 1.5k 1.4× 272 0.5× 388 0.8× 189 0.4× 606 1.5× 89 3.8k

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-authorship network of co-authors of Xuejun Hao

This figure shows the co-authorship network connecting the top 25 collaborators of Xuejun Hao. A scholar is included among the top collaborators of Xuejun Hao 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 Xuejun Hao. Xuejun Hao 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
1.
Cheng, Bin, et al.. (2024). Brain age prediction and deviations from normative trajectories in the neonatal connectome. Nature Communications. 15(1). 10251–10251. 2 indexed citations
2.
Bansal, Ravi, Bin Cheng, Xuejun Hao, et al.. (2023). Utilizing maternal prenatal cognition as a predictor of newborn brain measures of intellectual development. Child Neuropsychology. 30(4). 582–601. 1 indexed citations
3.
Peterson, Bradley S., et al.. (2023). Aberrant hippocampus and amygdala morphology associated with cognitive deficits in schizophrenia. Frontiers in Cellular Neuroscience. 17. 1126577–1126577. 6 indexed citations
4.
Talati, Ardesheer, Milenna T. van Dijk, Xuejun Hao, et al.. (2022). Putamen Structure and Function in Familial Risk for Depression: A Multimodal Imaging Study. Biological Psychiatry. 92(12). 932–941. 27 indexed citations
5.
Bansal, Ravi, Bradley S. Peterson, Jay A. Gingrich, et al.. (2016). Serotonin signaling modulates the effects of familial risk for depression on cortical thickness. Psychiatry Research Neuroimaging. 248. 83–93. 6 indexed citations
6.
Bansal, Ravi, Xuejun Hao, Jun Liu, & Bradley S. Peterson. (2014). Using Copula distributions to support more accurate imaging-based diagnostic classifiers for neuropsychiatric disorders. Magnetic Resonance Imaging. 32(9). 1102–1113. 5 indexed citations
7.
Spann, Marisa N., Ravi Bansal, Xuejun Hao, et al.. (2014). Morphological features of the neonatal brain following exposure to regional anesthesia during labor and delivery. Magnetic Resonance Imaging. 33(2). 213–221. 20 indexed citations
8.
Colibazzi, Tiziano, Bruce E. Wexler, Ravi Bansal, et al.. (2013). Anatomical Abnormalities in Gray and White Matter of the Cortical Surface in Persons with Schizophrenia. PLoS ONE. 8(2). e55783–e55783. 20 indexed citations
9.
Goh, Suzanne, Ravi Bansal, Dongrong Xu, et al.. (2011). Neuroanatomical correlates of intellectual ability across the life span. Developmental Cognitive Neuroscience. 1(3). 305–312. 43 indexed citations
10.
Bruder, Gerard E., Ravi Bansal, Craig E. Tenke, et al.. (2011). Relationship of resting EEG with anatomical MRI measures in individuals at high and low risk for depression. Human Brain Mapping. 33(6). 1325–1333. 37 indexed citations
11.
Hao, Xuejun, Dongrong Xu, Ravi Bansal, et al.. (2011). Multimodal magnetic resonance imaging: The coordinated use of multiple, mutually informative probes to understand brain structure and function. Human Brain Mapping. 34(2). 253–271. 51 indexed citations
12.
13.
Miller, Ann M., Ravi Bansal, Xuejun Hao, et al.. (2010). Enlargement of Thalamic Nuclei in Tourette Syndrome. Archives of General Psychiatry. 67(9). 955–955. 55 indexed citations
14.
Peterson, Bradley S., Virginia Warner, Ravi Bansal, et al.. (2009). Cortical thinning in persons at increased familial risk for major depression. Proceedings of the National Academy of Sciences. 106(15). 6273–6278. 192 indexed citations
15.
Tobe, Russell H., Ravi Bansal, Dongrong Xu, et al.. (2009). Cerebellar morphology in Tourette syndrome and obsessive‐compulsive disorder. Annals of Neurology. 67(4). 479–487. 76 indexed citations
16.
Peterson, Bradley S., Xuejun Hao, José Amat, et al.. (2007). Morphologic Features of the Amygdala and Hippocampus in Children and Adults With Tourette Syndrome. Archives of General Psychiatry. 64(11). 1281–1281. 98 indexed citations
17.
Xu, Dongrong, Xuejun Hao, Ravi Bansal, et al.. (2007). Unifying the analyses of anatomical and diffusion tensor images using volume‐preserved warping. Journal of Magnetic Resonance Imaging. 25(3). 612–624. 12 indexed citations
18.
Hao, Xuejun, et al.. (2006). Geometry-dependent lighting. IEEE Transactions on Visualization and Computer Graphics. 12(2). 197–207. 36 indexed citations
19.
Zhu, Hongtu, Dongrong Xu, Aviad E. Raz, et al.. (2006). A statistical framework for the classification of tensor morphologies in diffusion tensor images. Magnetic Resonance Imaging. 24(5). 569–582. 11 indexed citations
20.
Hao, Xuejun, et al.. (2005). Geometry-Guided Computation of 3D Electrostatics for Large Molecular Datasets. 149(1). 17–21. 2 indexed citations

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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