Dee Wu

2.9k citations
92 papers · 2.2k indexed · h-index 26

Impact in

Papers in

Dee Wu

88 papers receiving 2.1k citations

Peers

Dee Wu
Comparison fields: 5 of 168
  • Radiology, Nuclear Medicine and Imaging 733
  • Cognitive Neuroscience 493
  • Obstetrics and Gynecology 147
  • Catalysis 83
  • Neurology 73
Replace Hongwei Li with:
Hongwei Li China
Won‐Jin Moon South Korea
Xiaoping Zhu United States
Shun Zhang China
Yuxin Jiang China
Hongyu An United States
Wen‐Shiang Chen Taiwan
Hitoshi Yamada Japan
Dong Joon Kim South Korea
Dee Wu relative to Hongwei Li China Hongwei Li's profile →
Citations per field
00.5×10.5×
Hongwei Li · 1×
Citations per year

Countries citing papers authored by Dee Wu

Since Specialization
Citations

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

Fields of papers citing papers by Dee Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dee Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dee Wu Line = papers co-authored together Dee Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991151
2 1998134
3 2007126
4 2016124
5 1996116
6 200985
7 200681
8 200966
9 199763
10 201462
11 201861
12 201659
13 201857
14 200655
15 201753
16 200252
17 201751
18 200550
19 199646
20 200844

About Dee Wu

Dee Wu is a scholar working on Radiology, Nuclear Medicine and Imaging, Obstetrics and Gynecology, Cognitive Neuroscience, Health Informatics and Radiation, having authored 92 papers that have together received 2.2k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (15 papers), Functional Brain Connectivity Studies (13 papers), Advanced Neuroimaging Techniques and Applications (13 papers), MRI in cancer diagnosis (8 papers), Endometrial and Cervical Cancer Treatments (7 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Advanced Radiotherapy Techniques (5 papers) and Neural dynamics and brain function (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (733 citations), Cognitive Neuroscience (493 citations), Obstetrics and Gynecology (147 citations), Catalysis (83 citations) and Neurology (73 citations). Dee Wu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Jonathan S. Lewin, Jeffrey L. Duerk, E. Mark Haacke, Labros Petropoulos, David A. Miller, Shichao Wang, Qing Yuan, Lee Friedman, Alexandria Wise and Joshua D. Burks. Their work appears in journals such as Journal of Magnetic Resonance Imaging, Journal of Applied Clinical Medical Physics, International Journal of Radiation Oncology*Biology*Physics, American Journal of Neuroradiology and International Journal of Hydrogen Energy.

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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