Xuejun Gu

4.2k total citations · 1 hit paper
154 papers, 2.8k citations indexed

About

Xuejun Gu is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Xuejun Gu has authored 154 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 105 papers in Radiology, Nuclear Medicine and Imaging, 102 papers in Radiation and 55 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Xuejun Gu's work include Advanced Radiotherapy Techniques (101 papers), Medical Imaging Techniques and Applications (59 papers) and Radiomics and Machine Learning in Medical Imaging (25 papers). Xuejun Gu is often cited by papers focused on Advanced Radiotherapy Techniques (101 papers), Medical Imaging Techniques and Applications (59 papers) and Radiomics and Machine Learning in Medical Imaging (25 papers). Xuejun Gu collaborates with scholars based in United States, China and Canada. Xuejun Gu's co-authors include Steve Jiang, Xun Jia, Jing Wang, Weiguo Lu, Xin Zhen, Linghong Zhou, Huabei Jiang, Troy Long, Zohaib Iqbal and Michael Folkerts and has published in prestigious journals such as Journal of Clinical Oncology, Applied Physics Letters and PLoS ONE.

In The Last Decade

Xuejun Gu

141 papers receiving 2.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A feasibility study for predicting optimal radiation therapy dose distributions of prostate cancer patients from patient anatomy using deep learning

2019 254 citations Xun Jia, Weiguo Lu et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Xuejun Gu United States	28	2.1k	1.6k	1.0k	867	280	154	2.8k
Quan Chen United States	32	1.8k 0.9×	1.1k 0.7×	1.1k 1.1×	736 0.8×	210 0.8×	187	3.2k
Dan Ruan United States	32	1.8k 0.9×	1.9k 1.2×	576 0.6×	1.4k 1.7×	322 1.1×	193	3.2k
A.N.T.J. Kotte Netherlands	24	1.3k 0.6×	1.1k 0.7×	899 0.9×	830 1.0×	281 1.0×	71	2.5k
Xun Jia United States	37	3.3k 1.6×	2.7k 1.7×	1.7k 1.7×	1.7k 1.9×	393 1.4×	240	4.9k
Lei Ren United States	25	1.5k 0.7×	1.1k 0.7×	659 0.7×	632 0.7×	186 0.7×	138	2.1k
Dan Nguyen United States	30	1.7k 0.8×	1.7k 1.0×	601 0.6×	1.1k 1.2×	272 1.0×	120	2.8k
Pretesh Patel United States	33	1.4k 0.7×	949 0.6×	636 0.6×	1.3k 1.5×	596 2.1×	180	3.1k
Eric C. Frey United States	40	5.1k 2.5×	1.6k 1.0×	2.3k 2.3×	907 1.0×	344 1.2×	239	6.0k
Yaoqin Xie China	29	2.0k 0.9×	793 0.5×	1.0k 1.0×	568 0.7×	900 3.2×	211	3.2k
Lois Holloway Australia	28	2.6k 1.3×	2.2k 1.4×	623 0.6×	1.5k 1.7×	281 1.0×	260	4.1k

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-authorship network of co-authors of Xuejun Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Xuejun Gu. A scholar is included among the top collaborators of Xuejun Gu 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 Xuejun Gu. Xuejun Gu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Zhang, Zhiwang, et al.. (2025). A novel closed-form solution for automatic calibration of extrinsic parameters based on plane-induced homography. Robotics and Autonomous Systems. 194. 105144–105144.

Wang, Jen‐Yeu, Weiguo Lu, Hao Jiang, et al.. (2024). Where Does Auto-Segmentation for Brain Metastases Radiosurgery Stand Today?. Bioengineering. 11(5). 454–454. 3 indexed citations

Parsons, David, Zohaib Iqbal, Andrew Godley, et al.. (2023). Stability and reproducibility comparisons between deep inspiration breath‐hold techniques for left‐sided breast cancer patients: A prospective study. Journal of Applied Clinical Medical Physics. 24(5). e13906–e13906. 6 indexed citations

Yang, Zi, et al.. (2023). Leveraging global binary masks for structure segmentation in medical images. Physics in Medicine and Biology. 68(18). 185023–185023.

Parsons, David, Tze Yee Lim, Jose R. Teruel, et al.. (2023). Considerations for intensity modulated total body or total marrow and lymphoid irradiation. Clinical and Translational Radiation Oncology. 43. 100674–100674. 4 indexed citations

Yang, Zi, Asal Rahimi, Nathan Kim, et al.. (2023). A deep learning approach for automatic delineation of clinical target volume in stereotactic partial breast irradiation (S-PBI). Physics in Medicine and Biology. 68(10). 105011–105011. 7 indexed citations

Pham, Daniel, Jonathan K. Lewis, Beth M. Beadle, et al.. (2023). Prospective Clinical Adoption of Artificial Intelligence for Organ Contouring in Head and Neck Radiation Treatment Planning. International Journal of Radiation Oncology*Biology*Physics. 117(2). e490–e491. 1 indexed citations

Yang, Zi, Lin Ma, Strahinja Stojadinović, et al.. (2022). Ensemble learning for glioma patients overall survival prediction using pre-operative MRIs. Physics in Medicine and Biology. 67(24). 245002–245002. 2 indexed citations

Yang, Zi, Lin Ma, Strahinja Stojadinović, et al.. (2021). Deep-learning and radiomics ensemble classifier for false positive reduction in brain metastases segmentation. Physics in Medicine and Biology. 67(2). 25004–25004. 16 indexed citations

10.

Chen, Haibin, Weiguo Lu, Bo Zhao, et al.. (2018). Deep-learning based surface region selection for deep inspiration breath hold (DIBH) monitoring in left breast cancer radiotherapy. Physics in Medicine and Biology. 63(24). 245013–245013. 8 indexed citations

11.

Chen, Haibin, Weiguo Lu, Linghong Zhou, et al.. (2018). A recursive ensemble organ segmentation (REOS) framework: application in brain radiotherapy. Physics in Medicine and Biology. 64(2). 25015–25015. 21 indexed citations

12.

Mohamad, Osama, Bo Zhao, Dat T. Vo, et al.. (2016). Deep Inspiration Breath Hold for Left-Sided Lymph Node-Positive Breast Cancer Treated With Comprehensive Nodal Irradiation Including Internal Mammary Nodes. International Journal of Radiation Oncology*Biology*Physics. 96(2). E680–E680.

13.

Mao, Weihua, Weiguo Lu, Xuejun Gu, et al.. (2016). Online dosimetric evaluation of larynx SBRT: A pilot study to assess the necessity of adaptive replanning. Journal of Applied Clinical Medical Physics. 18(1). 157–163. 5 indexed citations

14.

Zhen, H, Brian Hrycushko, Robert Timmerman, et al.. (2015). Dosimetric comparison of Acuros XB with collapsed cone convolution/superposition and anisotropic analytic algorithm for stereotactic ablative radiotherapy of thoracic spinal metastases. Journal of Applied Clinical Medical Physics. 16(4). 181–192. 24 indexed citations

15.

Song, Ting, Weiguo Lu, Zhen Tian, et al.. (2015). Patient-specific dosimetric endpoints based treatment plan quality control in radiotherapy. Physics in Medicine and Biology. 60(21). 8213–8227. 20 indexed citations

16.

Peng, Fei, Xun Jia, Xuejun Gu, et al.. (2012). A new column-generation-based algorithm for VMAT treatment plan optimization. Physics in Medicine and Biology. 57(14). 4569–4588. 45 indexed citations

17.

Jia, Xun, Yifei Lou, John H. Lewis, et al.. (2010). GPU-based Cone Beam CT Reconstruction via Total Variation Regularization. arXiv (Cornell University). 5 indexed citations

18.

Gu, Xuejun, Dongju Choi, Chunhua Men, et al.. (2009). GPU-based ultra-fast dose calculation using a finite pencil beam model. Physics in Medicine and Biology. 54(20). 6287–6297. 51 indexed citations

19.

Gu, Xuejun, Kui Ren, & Andreas H. Hielscher. (2007). Frequency-domain sensitivity analysis for small imaging domains using the equation of radiative transfer. Applied Optics. 46(10). 1624–1624. 18 indexed citations

20.

Xu, Yong, Xuejun Gu, Taufiquar Khan, & Huabei Jiang. (2002). Absorption and scattering images of heterogeneous scattering media can be simultaneously reconstructed by use of dc data. Applied Optics. 41(25). 5427–5427. 49 indexed citations

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.

Explore authors with similar magnitude of impact