Jue Wu

1.9k total citations · 1 hit paper
53 papers, 1.3k citations indexed

About

Jue Wu is a scholar working on Pediatrics, Perinatology and Child Health, Computer Vision and Pattern Recognition and Obstetrics and Gynecology. According to data from OpenAlex, Jue Wu has authored 53 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Pediatrics, Perinatology and Child Health, 13 papers in Computer Vision and Pattern Recognition and 8 papers in Obstetrics and Gynecology. Recurrent topics in Jue Wu's work include Birth, Development, and Health (11 papers), Pregnancy and preeclampsia studies (8 papers) and Medical Image Segmentation Techniques (8 papers). Jue Wu is often cited by papers focused on Birth, Development, and Health (11 papers), Pregnancy and preeclampsia studies (8 papers) and Medical Image Segmentation Techniques (8 papers). Jue Wu collaborates with scholars based in China, United States and Hong Kong. Jue Wu's co-authors include Brian Avants, James C. Gee, Philip A. Cook, Nicholas J. Tustison, Martha J. Farah, Jeffrey Duda, Gwendolyn M. Lawson, Albert C. S. Chung, Hallam Hurt and Laura M. Betancourt and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Jue Wu

52 papers receiving 1.3k citations

Hit Papers

An Open Source Multivariate Framework for n-Tissue Segmen... 2011 2026 2016 2021 2011 100 200 300 400

Peers

Jue Wu
Comparison fields: 5 of 141
  • Radiology, Nuclear Medicine and Imaging 335
  • Cognitive Neuroscience 303
  • Pediatrics, Perinatology and Child Health 280
  • Computer Vision and Pattern Recognition 153
  • Clinical Psychology 118
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Chaeryon Kang United States View profile →
Citations per field, relative to Jue Wu
Jue Wu · 1×
Citations per year, relative to Jue Wu
Jue Wu · 1×

Countries citing papers authored by Jue Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jue Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jue Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Jue Wu. A scholar is included among the top collaborators of Jue 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 Jue Wu. Jue Wu 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
# Work Indexed citations
1 2
2 5
3 1
4 26
5 15
6 25
7 2
8 24
9 4
10 23
11 31
12 19
13
An Open Source Multivariate Framework for n-Tissue Segmentation with Evaluation on Public Data breakdown →
413
14 8
15 38
16 3
17 11
18 43
19 8
20
Multimodal brain image registration based on wavelet transform using SAD and MI
4

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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