Dee Wu

2.9k citations
96 papers · 2.4k · h-index 26

Impact in

Papers in

    • Advanced MRI Techniques and Applications 13
    • Advanced Neuroimaging Techniques and Applications 12
    • MRI in cancer diagnosis 7
    • Radiomics and Machine Learning in Medical Imaging 5
    • Radiation Dose and Imaging 4
    • Functional Brain Connectivity Studies 9

Dee Wu

93 papers receiving 2.3k citations

Peers

Dee Wu
Comparison fields: 5 of 166
  • Radiology, Nuclear Medicine and Imaging 603
  • Cognitive Neuroscience 439
  • Obstetrics and Gynecology 137
  • Catalysis 88
  • Geochemistry and Petrology 48
Replace Hongwei Li with:
Hongwei Li China
Xiaoping Zhu United States
Yuchun Zhang China
Hongyu An United States
Shun Zhang China
Chengyi Liu China
Haipeng Liu China
Koji Sakai Japan
Yuxin Jiang China
Bin Lou China
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 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991159
2 1998143
3 2016132
4 2007127
5 1996120
6 200987
7 200686
8 200971
9 201868
10 199766
11 201664
12 201464
13 201861
14 200261
15 200660
16 201758
17 201754
18 199652
19 200551
20 200848

About Dee Wu

Dee Wu is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Surgery, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 96 papers that have together received 2.4k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (13 papers), Advanced Neuroimaging Techniques and Applications (12 papers), Functional Brain Connectivity Studies (9 papers), Endometrial and Cervical Cancer Treatments (8 papers), MRI in cancer diagnosis (7 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Radiation Dose and Imaging (4 papers) and Glioma Diagnosis and Treatment (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (603 citations), Cognitive Neuroscience (439 citations), Obstetrics and Gynecology (137 citations), Catalysis (88 citations) and Geochemistry and Petrology (48 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, Labros Petropoulos, E. Mark Haacke, David A. Miller, Shichao Wang, Lee Friedman, Qing Yuan, 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 Roentgenology and Investigative Radiology.

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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