Minhui Ouyang

3.5k total citations
42 papers, 986 citations indexed

About

Minhui Ouyang is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Minhui Ouyang has authored 42 papers receiving a total of 986 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Radiology, Nuclear Medicine and Imaging, 25 papers in Cognitive Neuroscience and 18 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Minhui Ouyang's work include Advanced Neuroimaging Techniques and Applications (26 papers), Functional Brain Connectivity Studies (22 papers) and Advanced MRI Techniques and Applications (15 papers). Minhui Ouyang is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (26 papers), Functional Brain Connectivity Studies (22 papers) and Advanced MRI Techniques and Applications (15 papers). Minhui Ouyang collaborates with scholars based in United States, China and France. Minhui Ouyang's co-authors include Hao Huang, Tina Jeon, Qinlin Yu, Virendra Mishra, Lina Chalak, Pratik Mukherjee, Jessica Dubois, Qinmu Peng, Nancy Rollins and Timothy P. L. Roberts and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and NeuroImage.

In The Last Decade

Minhui Ouyang

42 papers receiving 978 citations

Peers

Minhui Ouyang
Steven Kecskemeti United States
Nicole Waskiewicz United Kingdom
Neel Madan United States
Joelle E. Sarlls United States
Minhui Ouyang
Citations per year, relative to Minhui Ouyang Minhui Ouyang (= 1×) peers Sofya Kulikova

Countries citing papers authored by Minhui Ouyang

Since Specialization
Citations

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

Fields of papers citing papers by Minhui Ouyang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minhui Ouyang

This figure shows the co-authorship network connecting the top 25 collaborators of Minhui Ouyang. A scholar is included among the top collaborators of Minhui Ouyang 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 Minhui Ouyang. Minhui Ouyang 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.
Xu, Yuehua, Xuhong Liao, Tianyuan Lei, et al.. (2024). Development of neonatal connectome dynamics and its prediction for cognitive and language outcomes at age 2. Cerebral Cortex. 34(5). 2 indexed citations
2.
Ouyang, Minhui, et al.. (2024). Machine-learning based prediction of future outcome using multimodal MRI during early childhood. Seminars in Fetal and Neonatal Medicine. 29(2-3). 101561–101561. 4 indexed citations
3.
Peng, Yun, Minhui Ouyang, Qinmu Peng, et al.. (2024). Diffusion‐tensor‐imaging 1‐year‐old and 2‐year‐old infant brain atlases with comprehensive gray and white matter labels. Human Brain Mapping. 45(7). e26695–e26695. 2 indexed citations
4.
Kirschen, Matthew P., Minhui Ouyang, Bhavesh Patel, et al.. (2024). Association between ASL MRI-derived cerebral blood flow and outcomes after pediatric cardiac arrest. Resuscitation. 196. 110128–110128. 1 indexed citations
5.
Ouyang, Minhui, et al.. (2024). Spatiotemporal cerebral blood flow dynamics underlies emergence of the limbic-sensorimotor-association cortical gradient in human infancy. Nature Communications. 15(1). 8944–8944. 4 indexed citations
6.
Ouyang, Minhui, Hao Huang, Arastoo Vossough, et al.. (2023). A Patch-Based Deep Learning Approach for Detecting Rib Fractures on Frontal Radiographs in Young Children. Journal of Digital Imaging. 36(4). 1302–1313. 8 indexed citations
7.
Sotardi, Susan, Michael L. Francavilla, Minhui Ouyang, et al.. (2023). Automating Angle Measurements on Foot Radiographs in Young Children: Feasibility and Performance of a Convolutional Neural Network Model. Journal of Digital Imaging. 36(4). 1419–1430. 2 indexed citations
8.
Ouyang, Minhui, Hao Huang, Arastoo Vossough, et al.. (2023). Deep learning-based prediction of rib fracture presence in frontal radiographs of children under two years of age: a proof-of-concept study. British Journal of Radiology. 96(1145). 20220778–20220778. 8 indexed citations
9.
Yu, Qinlin, Minhui Ouyang, John A. Detre, et al.. (2023). Infant brain regional cerebral blood flow increases supporting emergence of the default-mode network. eLife. 12. 15 indexed citations
10.
Ouyang, Minhui, Yun Peng, Susan Sotardi, et al.. (2022). Flattened Structural Network Changes and Association of Hyperconnectivity With Symptom Severity in 2–7-Year-Old Children With Autism. Frontiers in Neuroscience. 15. 757838–757838. 6 indexed citations
11.
Cristancho, Ana G., Minhui Ouyang, Sergey Magnitsky, et al.. (2022). Deficits in Seizure Threshold and Other Behaviors in Adult Mice without Gross Neuroanatomic Injury after Late Gestation Transient Prenatal Hypoxia. Developmental Neuroscience. 44(4-5). 246–265. 5 indexed citations
12.
Lv, Bin, Tongning Wu, Jishui Zhang, et al.. (2020). Altered structural cerebral cortex in children with Tourette syndrome. European Journal of Radiology. 129. 109119–109119. 8 indexed citations
13.
Zheng, Qiang, Juan Sebastián Martín-Saavedra, Arastoo Vossough, et al.. (2020). Cerebral Pulsed Arterial Spin Labeling Perfusion Weighted Imaging Predicts Language and Motor Outcomes in Neonatal Hypoxic-Ischemic Encephalopathy. Frontiers in Pediatrics. 8. 576489–576489. 14 indexed citations
14.
Feng, Lei, Hang Li, Kenichi Oishi, et al.. (2018). Age-specific gray and white matter DTI atlas for human brain at 33, 36 and 39 postmenstrual weeks. NeuroImage. 185. 685–698. 33 indexed citations
15.
Zhao, Tengda, Virendra Mishra, Tina Jeon, et al.. (2018). Structural network maturation of the preterm human brain. NeuroImage. 185. 699–710. 42 indexed citations
16.
Ouyang, Minhui, Huiying Kang, John A. Detre, Timothy P. L. Roberts, & Hao Huang. (2017). Short-range connections in the developmental connectome during typical and atypical brain maturation. Neuroscience & Biobehavioral Reviews. 83. 109–122. 76 indexed citations
17.
Cao, Miao, Yong He, Zhengjia Dai, et al.. (2016). Early Development of Functional Network Segregation Revealed by Connectomic Analysis of the Preterm Human Brain. Cerebral Cortex. 27(3). bhw038–bhw038. 134 indexed citations
19.
Zhang, Dan, et al.. (2012). Employing an active mental task to enhance the performance of auditory attention-based brain–computer interfaces. Clinical Neurophysiology. 124(1). 83–90. 19 indexed citations
20.
Gao, Haiyang, Minhui Ouyang, Dan Zhang, & Bo Hong. (2011). An auditory brain-computer interface using virtual sound field. PubMed. 39. 4568–4571. 9 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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