Xuejun Gu

163 papers receiving 3.6k citations

Xuejun Gu's Hit Papers

A feasibility study for predicting optimal radiation therapy dose distributions of prostate cancer patients from patient anatomy using deep learning 2019 · 281 citations
2810+2+4Years since publication50100150200250

Peers

Xuejun Gu
Comparison fields: 5 of 61
  • Radiation 1.6k
  • Health Informatics 52
  • Radiology, Nuclear Medicine and Imaging 463
  • Neurology 81
  • Computer Vision and Pattern Recognition 284
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Xun Jia United States
Lois Charlotte Holloway Australia
Quan Chen United States
Jun Lian United States
Indrin J. Chetty United States
Ke Sheng United States
Simon Doran United Kingdom
Jinzhong Yang United States
Annette Haworth Australia
Xuejun Gu relative to Xun Jia United States Xun Jia's profile →
Citations per field
00.5×5×11.6×
Xun Jia · 1×
Citations per year

Countries citing papers authored by Xuejun Gu

Since Specialization
Citations

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

Fields of papers citing papers by Xuejun Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xuejun Gu, 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 Xuejun Gu Line = papers co-authored together Xuejun Gu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 177 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A feasibility study for predicting optimal radiation therapy dose distributions of prostate cancer patients from patient anatomy using deep learning
Hit paper breakdown →
2019281
2
Generating synthesized computed tomography (CT) from cone-beam computed tomography (CBCT) using CycleGAN for adaptive radiation therapy
Hit paper breakdown →
2019226
3 2009195
4 2017156
5 2011147
6 2017139
7 2004106
8 2010106
9 2010100
10 201397
11 200996
12 200690
13 201266
14 200365
15 201165
16 200963
17 201262
18 201259
19 201956
20 201151

About Xuejun Gu

Xuejun Gu is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Genetics and Cancer Research, having authored 177 papers that have together received 3.7k indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (95 papers), Optical Imaging and Spectroscopy Techniques (18 papers), Medical Image Segmentation Techniques (12 papers), Glioma Diagnosis and Treatment (3 papers), Soft Robotics and Applications (3 papers), Breast Cancer Treatment Studies (3 papers), AI in cancer detection (2 papers) and Management of metastatic bone disease (2 papers). The work is most often cited by research in Radiation (1.6k citations), Health Informatics (52 citations), Radiology, Nuclear Medicine and Imaging (463 citations), Neurology (81 citations) and Computer Vision and Pattern Recognition (284 citations). Xuejun Gu has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Steve B Jiang, Xun Jia, Jing Wang, Weiguo Lu, Xin Zhen, Michael Folkerts, Chunhua Men, Linghong Zhou, Huabei Jiang and Brian A. Hrycushko. Their work appears in journals such as Medical Physics, Physics in Medicine and Biology, International Journal of Radiation Oncology*Biology*Physics, Journal of Applied Clinical Medical Physics and Practical Radiation Oncology.

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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