Guorong Wu

10.6k total citations · 2 hit papers
204 papers, 7.0k citations indexed

About

Guorong Wu is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Cognitive Neuroscience. According to data from OpenAlex, Guorong Wu has authored 204 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 112 papers in Computer Vision and Pattern Recognition, 71 papers in Radiology, Nuclear Medicine and Imaging and 44 papers in Cognitive Neuroscience. Recurrent topics in Guorong Wu's work include Medical Image Segmentation Techniques (93 papers), Advanced Neuroimaging Techniques and Applications (47 papers) and Functional Brain Connectivity Studies (42 papers). Guorong Wu is often cited by papers focused on Medical Image Segmentation Techniques (93 papers), Advanced Neuroimaging Techniques and Applications (47 papers) and Functional Brain Connectivity Studies (42 papers). Guorong Wu collaborates with scholars based in United States, China and South Korea. Guorong Wu's co-authors include Dinggang Shen, Heung‐Il Suk, Qian Wang, Minjeong Kim, Feng Shi, Hongjun Jia, Weili Lin, Pew‐Thian Yap, Yaozong Gao and John H. Gilmore and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Guorong Wu

192 papers receiving 6.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Deep Learning in Medical Image Analysis

2017 3.1k citations Dinggang Shen, Guorong Wu et al. profile →
Infant Brain Atlases from Neonates to 1- and 2-Year-Olds

2011 425 citations Guorong Wu, Hongjun Jia et al. profile →

Peers

Countries citing papers authored by Guorong Wu

Since Specialization

Citations

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

Fields of papers citing papers by Guorong Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guorong Wu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Palladium-Catalyzed Regio-, Chemo-, and Stereoselective Access to Multisubstituted 1,3-Dienes via Redox-Neutral Dienylation Pathway 2025 ·CCS Chemistry ·(unknown), (unknown), (unknown), Guorong Wu, Liangliang Song, Liang‐An Chen	0
2	Explore brain-inspired machine intelligence for connecting dots on graphs through holographic blueprint of oscillatory synchronization 2025 ·Nature Communications ·Tingting Dan, Jiaqi Ding, Guorong Wu	0
3	Learning to Approximate Adaptive Kernel Convolution on Graphs 2024 ·Proceedings of the AAAI Conference on Artificial Intelligence ·(unknown), (unknown), (unknown), Guorong Wu, Won Hwa Kim	1
4	Style Classification and Generation of Furniture Design Styles: A Method Based on Generative Adversarial Networks 2024 ·Computer-Aided Design and Applications ·(unknown), (unknown), Guorong Wu	0
5	Multi-Atlas Segmentation of Anatomical Brain Structures Using Hierarchical Hypergraph Learning 2019 ·IEEE Transactions on Neural Networks and Learning Systems ·Pei Dong, Yanrong Guo, Yue Gao, Peipeng Liang, Yonghong Shi, Guorong Wu	9
6	Personalized Diagnosis for Alzheimer’s Disease 2017 ·Lecture notes in computer science ·Yingying Zhu, Minjeong Kim, Xiaofeng Zhu, (unknown), Daniel Kaufer, Guorong Wu	14
7	Dual-core steered non-rigid registration for multi-modal images via bi-directional image synthesis 2017 ·Medical Image Analysis ·Xiaohuan Cao, Jianhua Yang, Yaozong Gao, Yanrong Guo, Guorong Wu, Dinggang Shen	48
8	Joint Discriminative and Representative Feature Selection for Alzheimer’s Disease Diagnosis 2016 ·Lecture notes in computer science ·Xiaofeng Zhu, Heung‐Il Suk, Kim‐Han Thung, Yingying Zhu, Guorong Wu, Dinggang Shen	4
9	Automatic Cystocele Severity Grading in Ultrasound by Spatio-Temporal Regression 2016 ·Lecture notes in computer science ·Dong Ni, Xing Ji, Yaozong Gao, (unknown), Huifang Wang, Jing Qin, Baiying Lei, Tianfu Wang, Guorong Wu, Dinggang Shen	2
10	Identifying High Order Brain Connectome Biomarkers via Learning on Hypergraph 2016 ·Lecture notes in computer science ·Chen Zu, Yue Gao, Brent C. Munsell, Minjeong Kim, Ziwen Peng, Yingying Zhu, Wei Gao, Daoqiang Zhang, Dinggang Shen, Guorong Wu	16
11	Brain atlas fusion from high-thickness diagnostic magnetic resonance images by learning-based super-resolution 2016 ·Pattern Recognition ·Jinpeng Zhang, Lichi Zhang, Lei Xiang, Yeqin Shao, Guorong Wu, Xiaodong Zhou, Dinggang Shen, Qian Wang	19
12	Consistent Multi-Atlas Hippocampus Segmentation for Longitudinal MR Brain Images with Temporal Sparse Representation 2016 ·Lecture notes in computer science ·Lin Wang, Yanrong Guo, Xiaohuan Cao, Guorong Wu, Dinggang Shen	5
13	Prediction of Infant MRI Appearance and Anatomical Structure Evolution Using Sparse Patch-Based Metamorphosis Learning Framework 2015 ·Lecture notes in computer science ·Islem Rekik, Gang Li, Guorong Wu, Weili Lin, Dinggang Shen	12
14	Automatic hippocampus segmentation of 7.0Tesla MR images by combining multiple atlases and auto-context models 2013 ·NeuroImage ·Minjeong Kim, Guorong Wu, Wei Li, Li Wang, Young‐Don Son, Zang‐Hee Cho, Dinggang Shen	35
15	A Statistical Framework for Inter-Group Image Registration 2012 ·Neuroinformatics ·Shu Liao, Guorong Wu, Dinggang Shen	4
16	Hierarchical Attribute-Guided Symmetric Diffeomorphic Registration for MR Brain Images 2012 ·Lecture notes in computer science ·Guorong Wu, Minjeong Kim, Qian Wang, Dinggang Shen	13
17	A novel framework for longitudinal atlas construction with groupwise registration of subject image sequences 2011 ·NeuroImage ·Shu Liao, Hongjun Jia, Guorong Wu, Dinggang Shen, (unknown)	17
18	Groupwise registration from exemplar to group mean: Extending HAMMER to groupwise registration 2010 ·PubMed ·Guorong Wu, Pew‐Thian Yap, Qian Wang, Dinggang Shen	8
19	ABSORB: Atlas building by self-organized registration and bundling 2010 ·NeuroImage ·Hongjun Jia, Guorong Wu, Qian Wang, Dinggang Shen	86
20	Effect of acute hypervolemic hemodilution on expression of CD62P and CD63 on platelet 2003 ·Zhonghua mazuixue zazhi ·Guorong Wu	1

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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