Xiaopeng Zong

6.9k total citations
56 papers, 1.6k citations indexed

About

Xiaopeng Zong is a scholar working on Radiology, Nuclear Medicine and Imaging, Pediatrics, Perinatology and Child Health and Cellular and Molecular Neuroscience. According to data from OpenAlex, Xiaopeng Zong has authored 56 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Pediatrics, Perinatology and Child Health and 11 papers in Cellular and Molecular Neuroscience. Recurrent topics in Xiaopeng Zong's work include Advanced MRI Techniques and Applications (15 papers), Fetal and Pediatric Neurological Disorders (12 papers) and Cerebrospinal fluid and hydrocephalus (11 papers). Xiaopeng Zong is often cited by papers focused on Advanced MRI Techniques and Applications (15 papers), Fetal and Pediatric Neurological Disorders (12 papers) and Cerebrospinal fluid and hydrocephalus (11 papers). Xiaopeng Zong collaborates with scholars based in United States, China and South Korea. Xiaopeng Zong's co-authors include Seong‐Gi Kim, Tao Jin, Ping Wang, Weili Lin, Dinggang Shen, Ping Wang, Sang Hyun Park, Jie Huang, Jun Zhang and Alberto L. Vazquez and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Xiaopeng Zong

51 papers receiving 1.6k citations

Peers

Xiaopeng Zong

RNMI

CMN

BIOPH

Jay J. Pillai United States

Benjamin Bender Germany

Loukas G. Astrakas Greece

Ruopeng Wang United States

Jongho Lee South Korea

Graham C. Wiggins United States

Kim Butts Pauly United States

Weibo Chen China

Tobias Wood United Kingdom

Akifumi Hagiwara Japan

Jay J. Pillai United States

Xiaopeng Zong

1.6k ×2.2

RNMI

374 ×0.8

186 ×0.7

CMN

157 ×0.6

BIOPH

1.2k ×5.2

Citations per year, relative to Xiaopeng Zong Xiaopeng Zong (= 1×) peers Jay J. Pillai

Countries citing papers authored by Xiaopeng Zong

Since Specialization

Citations

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

Fields of papers citing papers by Xiaopeng Zong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaopeng Zong

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

All Works

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20 of 20 papers shown

Xiong, Yongqin, et al.. (2025). Subcortical nuclei and glymphatic system alterations in migraine with aura: a comparative 7T multimodal MRI analysis. The Journal of Headache and Pain. 27(1). 22–22.

Qi, Haikun, Junwei Yang, Xiaopeng Zong, et al.. (2024). SRM-Net: Joint Sampling and Reconstruction and Mapping Network for Accelerated 3T Brain Multi-Parametric MR Imaging. IEEE Transactions on Biomedical Engineering. 72(6). 1811–1824. 2 indexed citations

McGrath, Cody, Gabriel M. Pagnotti, Buer Sen, et al.. (2024). Diet-Stimulated Marrow Adiposity Fails to Worsen Early, Age-Related Bone Loss. Obesity Facts. 17(2). 145–157. 3 indexed citations

Hu, Siyuan, Yong Chen, Xiaopeng Zong, et al.. (2023). Improving motion robustness of 3D MR fingerprinting with a fat navigator. Magnetic Resonance in Medicine. 90(5). 1802–1817. 5 indexed citations

Zhang, Jiadong, Junwei Yang, Yan Hu, et al.. (2023). A generalized dual-domain generative framework with hierarchical consistency for medical image reconstruction and synthesis. SHILAP Revista de lepidopterología. 2(1). 8 indexed citations

Cheng, Feng, Yong Chen, Xiaopeng Zong, et al.. (2020). Acceleration of High-Resolution 3D MR Fingerprinting via a Graph Convolutional Network. Lecture notes in computer science. 12262. 158–166. 5 indexed citations

McGrath, Cody, Buer Sen, Zhihui Xie, et al.. (2019). Exercise Degrades Bone in Caloric Restriction, Despite Suppression of Marrow Adipose Tissue (MAT). Journal of Bone and Mineral Research. 35(1). 106–115. 35 indexed citations

Zhang, Qian, Li Wang, Xiaopeng Zong, et al.. (2019). Frnet: Flattened Residual Network for Infant MRI Skull Stripping. PubMed. 2019. 999–1002. 18 indexed citations

Chikontwe, Philip, et al.. (2019). Enhancement of Perivascular Spaces Using Densely Connected Deep Convolutional Neural Network. IEEE Access. 7. 18382–18391. 24 indexed citations

10.

Wei, Hongjiang, Russell Dibb, Kyle Decker, et al.. (2017). Investigating magnetic susceptibility of human knee joint at 7 Tesla. Magnetic Resonance in Medicine. 78(5). 1933–1943. 50 indexed citations

11.

Hou, Yingkun, Sang Hyun Park, Jun Zhang, et al.. (2017). Enhancement of Perivascular Spaces in 7 T MR Image using Haar Transform of Non-local Cubes and Block-matching Filtering. Scientific Reports. 7(1). 8569–8569. 29 indexed citations

12.

Styner, Maya, Gabriel M. Pagnotti, Cody McGrath, et al.. (2017). Exercise Decreases Marrow Adipose Tissue Through ß-Oxidation in Obese Running Mice. Journal of Bone and Mineral Research. 32(8). 1692–1702. 82 indexed citations

13.

Bahrami, Khosro, Feng Shi, Xiaopeng Zong, et al.. (2016). Reconstruction of 7T-Like Images From 3T MRI. IEEE Transactions on Medical Imaging. 35(9). 2085–2097. 50 indexed citations

14.

Zhang, Jun, Yaozong Gao, Sang Hyun Park, et al.. (2016). Segmentation of Perivascular Spaces Using Vascular Features and Structured Random Forest from 7T MR Image. Lecture notes in computer science. 10019. 61–68. 8 indexed citations

15.

Park, Sang Hyun, Xiaopeng Zong, Yaozong Gao, Weili Lin, & Dinggang Shen. (2016). Segmentation of perivascular spaces in 7 T MR image using auto-context model with orientation-normalized features. NeuroImage. 134. 223–235. 36 indexed citations

16.

Bahrami, Khosro, Feng Shi, Xiaopeng Zong, et al.. (2015). Hierarchical Reconstruction of 7T-like Images from 3T MRI Using Multi-level CCA and Group Sparsity. Lecture notes in computer science. 9350. 659–666. 13 indexed citations

17.

Jin, Tao, Ping Wang, Xiaopeng Zong, & Seong‐Gi Kim. (2012). MR imaging of the amide‐proton transfer effect and the pH‐insensitive nuclear overhauser effect at 9.4 T. Magnetic Resonance in Medicine. 69(3). 760–770. 232 indexed citations

18.

Huang, Jie, et al.. (2011). Improving suspicious breast lesion characterization using semi‐automatic lesion fractional volume washout kinetic analysis. Medical Physics. 38(11). 5998–6009. 4 indexed citations

19.

Jin, Tao, Ping Wang, Xiaopeng Zong, & Seong‐Gi Kim. (2011). Magnetic resonance imaging of the Amine–Proton EXchange (APEX) dependent contrast. NeuroImage. 59(2). 1218–1227. 143 indexed citations

20.

Johnston, D. C., S.-H. Baek, Xiaopeng Zong, et al.. (2005). Dynamics of Magnetic Defects in Heavy FermionLiV2O4from Stretched ExponentialLi7NMR Relaxation. Physical Review Letters. 95(17). 176408–176408. 33 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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