Zhengwang Wu

2.5k total citations
99 papers, 1.2k citations indexed

About

Zhengwang Wu is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Zhengwang Wu has authored 99 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Radiology, Nuclear Medicine and Imaging, 50 papers in Cognitive Neuroscience and 47 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Zhengwang Wu's work include Functional Brain Connectivity Studies (45 papers), Advanced Neuroimaging Techniques and Applications (44 papers) and Neonatal and fetal brain pathology (43 papers). Zhengwang Wu is often cited by papers focused on Functional Brain Connectivity Studies (45 papers), Advanced Neuroimaging Techniques and Applications (44 papers) and Neonatal and fetal brain pathology (43 papers). Zhengwang Wu collaborates with scholars based in United States, China and South Korea. Zhengwang Wu's co-authors include Gang Li, Li Wang, Weili Lin, Dinggang Shen, Fan Wang, Fenqiang Zhao, Yu Meng, John H. Gilmore, Shunren Xia and Dan Hu 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

Zhengwang Wu

88 papers receiving 1.2k citations

Peers

Countries citing papers authored by Zhengwang Wu

Since Specialization

Citations

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

Fields of papers citing papers by Zhengwang Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhengwang Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhengwang Wu. A scholar is included among the top collaborators of Zhengwang 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 Zhengwang Wu. Zhengwang Wu 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

#	Work	Indexed citations
1	Identification and improvement of urban underground living center system based on POI data: A case study in Nanjing 2025 ·Sustainable Cities and Society ·(unknown), (unknown), (unknown), Zhengwang Wu, (unknown), (unknown)	0
2	Learning lifespan brain anatomical correspondence via cortical developmental continuity transfer 2024 ·Medical Image Analysis ·Lu Zhang, Zhengwang Wu, (unknown), (unknown), Zihao Wu, (unknown), Lin Zhao, Li Wang, (unknown), Xianqiao Wang, Tianming Liu, Dajiang Zhu	3
3	Generation of Anatomy-Realistic 4d Infant Brain Atlases with Tissue Maps Using Generative Adversarial Networks 2024 ·(unknown), Liangjun Chen, Zhengwang Wu, Fenqiang Zhao, Ya Wang, (unknown), Li Wang, Gang Li	0
4	Longitudinal prediction of postnatal brain magnetic resonance images via a metamorphic generative adversarial network 2023 ·Pattern Recognition ·Yunzhi Huang, Sahar Ahmad, Luyi Han, Shuai Wang, Zhengwang Wu, Weili Lin, Gang Li, Li Wang, Pew‐Thian Yap	1
5	Longitudinal development of the cerebellum in human infants during the first 800 days 2023 ·Cell Reports ·(unknown), Liangjun Chen, Zhengwang Wu, Tengfei Li, Yue Sun, (unknown), Hongtu Zhu, Weili Lin, Li Wang, Wenhua Huang, Gang Li	2
6	Fine-grained functional parcellation maps of the infant cerebral cortex 2023 ·eLife ·Fan Wang, Han Zhang, Zhengwang Wu, Dan Hu, Zhen Zhou, Jessica B. Girault, Li Wang, Weili Lin, Gang Li	14
7	Path Signature Neural Network of Cortical Features for Prediction of Infant Cognitive Scores 2022 ·UCL Discovery (University College London) ·Hao Ni, (unknown), Xin Zhang, (unknown), Xiangmin Xu, Zhengwang Wu, Li Wang, Weili Lin, Gang Li	3
8	Brain Connectivity Based Graph Convolutional Networks and Its Application to Infant Age Prediction 2022 ·IEEE Transactions on Medical Imaging ·(unknown), Xin Zhang, Jingxin Nie, Guowei Zhang, (unknown), Xiangmin Xu, Zhengwang Wu, Dan Hu, Li Wang, Han Zhang, Weili Lin, Gang Li	32
9	Mother’s physical activity during pregnancy and newborn’s brain cortical development 2022 ·Frontiers in Human Neuroscience ·(unknown), Rajikha Raja, (unknown), (unknown), (unknown), Zhengwang Wu, Li Wang, Gang Li, Charles M. Glasier, (unknown), Aline Andres, Xiawei Ou	10
10	Developmental abnormalities of structural covariance networks of cortical thickness and surface area in autistic infants within the first 2 years 2021 ·Cerebral Cortex ·(unknown), Dan Hu, Zhengwang Wu, Li Wang, Wenhua Huang, Gang Li	8
11	Learning 4D Infant Cortical Surface Atlas with Unsupervised Spherical Networks 2021 ·Lecture notes in computer science ·Fenqiang Zhao, Zhengwang Wu, Li Wang, Weili Lin, Shunren Xia, Gang Li, (unknown)	3
12	ABCnet: Adversarial bias correction network for infant brain MR images 2021 ·Medical Image Analysis ·Liangjun Chen, Zhengwang Wu, Dan Hu, Fan Wang, J. Keith Smith, Weili Lin, Li Wang, Dinggang Shen, Gang Li	9
13	Developmental topography of cortical thickness during infancy 2019 ·Proceedings of the National Academy of Sciences ·Fan Wang, Chunfeng Lian, Zhengwang Wu, Han Zhang, Tengfei Li, Yu Meng, Li Wang, Weili Lin, Dinggang Shen, Gang Li	78
14	Surface-Volume Consistent Construction of Longitudinal Atlases for the Early Developing Brain 2019 ·Lecture notes in computer science ·Sahar Ahmad, Zhengwang Wu, Gang Li, Li Wang, Weili Lin, Pew‐Thian Yap, Dinggang Shen, (unknown)	3
15	Surface-constrained volumetric registration for the early developing brain 2019 ·Medical Image Analysis ·Sahar Ahmad, Zhengwang Wu, Gang Li, Li Wang, Weili Lin, Pew‐Thian Yap, Dinggang Shen	7
16	Intrinsic Patch-Based Cortical Anatomical Parcellation Using Graph Convolutional Neural Network on Surface Manifold 2019 ·Lecture notes in computer science ·Zhengwang Wu, Fenqiang Zhao, Jing Xia, Li Wang, Weili Lin, John H. Gilmore, Gang Li, Dinggang Shen	7
17	Spherical U-Net on Cortical Surfaces: Methods and Applications 2019 ·Lecture notes in computer science ·Fenqiang Zhao, Shunren Xia, Zhengwang Wu, Dingna Duan, Li Wang, Weili Lin, John H. Gilmore, Dinggang Shen, (unknown)	34
18	A computational method for longitudinal mapping of orientation-specific expansion of cortical surface area in infants 2018 ·PubMed ·Jing Xia, Caiming Zhang, Fan Wang, Yu Meng, Zhengwang Wu, Li Wang, Weili Lin, Dinggang Shen, Gang Li	2
19	Construction of spatiotemporal infant cortical surface atlas of rhesus macaque 2018 ·PubMed ·Fan Wang, Chunfeng Lian, Jing Xia, Zhengwang Wu, Dingna Duan, Li Wang, Dinggang Shen, Gang Li	11
20	4D Infant Cortical Surface Atlas Construction Using Spherical Patch-Based Sparse Representation 2017 ·Lecture notes in computer science ·Zhengwang Wu, Gang Li, Yu Meng, Li Wang, Weili Lin, Dinggang Shen	10

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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