Xun Jia

7.2k total citations · 2 hit papers
240 papers, 4.9k citations indexed

About

Xun Jia is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Xun Jia has authored 240 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 170 papers in Radiology, Nuclear Medicine and Imaging, 158 papers in Radiation and 105 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Xun Jia's work include Advanced Radiotherapy Techniques (150 papers), Medical Imaging Techniques and Applications (133 papers) and Advanced X-ray and CT Imaging (69 papers). Xun Jia is often cited by papers focused on Advanced Radiotherapy Techniques (150 papers), Medical Imaging Techniques and Applications (133 papers) and Advanced X-ray and CT Imaging (69 papers). Xun Jia collaborates with scholars based in United States, China and Germany. Xun Jia's co-authors include Steve Jiang, Zhen Tian, Xuejun Gu, Chenyang Shen, Hao Yan, Dan Nguyen, Michael Folkerts, Tinsu Pan, Laura Cerviño and Yifei Lou and has published in prestigious journals such as Advanced Materials, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Xun Jia

225 papers receiving 4.8k citations

Hit Papers

A feasibility study for predicting optimal radiation ther... 2019 2026 2021 2023 2019 2022 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xun Jia United States 37 3.3k 2.7k 1.7k 1.7k 393 240 4.9k
Jing Wang China 42 4.6k 1.4× 1.3k 0.5× 3.1k 1.8× 941 0.6× 1.1k 2.7× 392 7.1k
G Sharp United States 46 3.7k 1.1× 4.4k 1.6× 1.3k 0.7× 3.2k 1.9× 932 2.4× 193 6.2k
Weiguo Lu United States 28 2.3k 0.7× 2.5k 0.9× 745 0.4× 1.4k 0.8× 348 0.9× 132 3.2k
Kyle J. Myers United States 34 3.7k 1.1× 578 0.2× 2.2k 1.3× 1.4k 0.8× 568 1.4× 186 5.2k
Dan Ruan United States 32 1.8k 0.6× 1.9k 0.7× 576 0.3× 1.4k 0.9× 322 0.8× 193 3.2k
Xuejun Gu United States 28 2.1k 0.6× 1.6k 0.6× 1.0k 0.6× 867 0.5× 280 0.7× 154 2.8k
Ruijiang Li United States 43 3.1k 0.9× 995 0.4× 931 0.5× 1.7k 1.0× 189 0.5× 153 5.3k
Eric C. Frey United States 40 5.1k 1.6× 1.6k 0.6× 2.3k 1.4× 907 0.5× 344 0.9× 239 6.0k
Xiaofeng Yang United States 45 5.0k 1.5× 2.2k 0.8× 2.4k 1.4× 1.7k 1.0× 2.1k 5.3× 569 8.6k
Jing Cai China 35 2.5k 0.8× 1.7k 0.6× 671 0.4× 1.2k 0.7× 283 0.7× 338 4.2k

Countries citing papers authored by Xun Jia

Since Specialization
Citations

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

Fields of papers citing papers by Xun Jia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xun Jia

This figure shows the co-authorship network connecting the top 25 collaborators of Xun Jia. A scholar is included among the top collaborators of Xun Jia 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 Xun Jia. Xun Jia 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
2.
Jia, Xun, et al.. (2025). Actor critic with experience replay‐based automatic treatment planning for prostate cancer intensity modulated radiotherapy. Medical Physics. 52(7). e17915–e17915. 2 indexed citations
3.
Jia, Xun, et al.. (2024). Advancing the Collaboration Between Imaging and Radiation Oncology. Seminars in Radiation Oncology. 34(4). 402–417. 1 indexed citations
4.
Yin, Lingshu, Masumi Umezawa, Daniel Sforza, et al.. (2024). Feasibility of Synchrotron-Based Ultra-High Dose Rate (UHDR) Proton Irradiation with Pencil Beam Scanning for FLASH Research. Cancers. 16(1). 221–221. 9 indexed citations
5.
Zhong, Yuncheng, et al.. (2024). Design and construction of gradient coils for an MRI-guided small animal radiation platform. Heliyon. 10(4). e26251–e26251. 1 indexed citations
6.
Huang, Ellen, Reza Farjam, Ian R. Marsh, et al.. (2024). Commissioning and validation of a single photon beam model in RayStation for multiple matched Elekta Linacs. Journal of Applied Clinical Medical Physics. 25(10). e14485–e14485. 1 indexed citations
7.
Jia, Xun, et al.. (2024). Review of dataset and algorithms for distribution network pseudo measurement. 2(1). 1–12. 1 indexed citations
8.
Lin, Jingying, Youfang Lai, Junjie Wu, et al.. (2023). ART2Dose: A comprehensive dose verification platform for online adaptive radiotherapy. Medical Physics. 51(1). 18–30. 7 indexed citations
9.
Jia, Xun, Sean Parker, Judit Kocsis, et al.. (2023). Meta-Analysis of Five Fraction Preoperative Radiotherapy for Soft Tissue Sarcoma. International Journal of Radiation Oncology*Biology*Physics. 117(2). S146–S147. 2 indexed citations
10.
Peng, Yuting, et al.. (2022). Top-Level Design and Simulated Performance of the First Portable CT-MR Scanner. IEEE Access. 10. 102325–102333. 2 indexed citations
11.
Hannan, Raquibul, Samer Salamekh, Neil Desai, et al.. (2021). SABR for High-Risk Prostate Cancer: A Prospective Multilevel MRI-Based Dose Escalation Trial. International Journal of Radiation Oncology*Biology*Physics. 113(2). 290–301. 20 indexed citations
12.
Jung, Hyunuk, Chenyang Shen, Yesenia Gonzalez, Kevin Albuquerque, & Xun Jia. (2019). Deep-learning assisted automatic digitization of interstitial needles in 3D CT image based high dose-rate brachytherapy of gynecological cancer. Physics in Medicine and Biology. 64(21). 215003–215003. 30 indexed citations
13.
Shen, Chenyang, Bin Li, You Zhang, et al.. (2019). A method to reconstruct intra-fractional liver motion in rotational radiotherapy using linear fiducial markers. Physics in Medicine and Biology. 64(22). 225013–225013. 5 indexed citations
14.
Lai, Youfang, et al.. (2019). gPET: a GPU-based, accurate and efficient Monte Carlo simulation tool for PET. Physics in Medicine and Biology. 64(24). 245002–245002. 12 indexed citations
15.
Tian, Zhen, et al.. (2016). Monte Carlo dose calculations for high-dose–rate brachytherapy using GPU-accelerated processing. Brachytherapy. 15(3). 387–398. 10 indexed citations
16.
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
17.
Jia, Xun, Todd Pawlicki, Kevin T. Murphy, & Arno J. Mundt. (2012). Proton therapy dose calculations on GPU: advances and challenges. Translational Cancer Research. 1(3). 207–216. 10 indexed citations
18.
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
19.
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
20.
Chen, Bin, Peng Sun, & Xun Jia. (2004). Energy Consumption Characteristics and Strategy to the Use of Renewable Energy in Residence in China. 411–419. 2 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.

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