Xiaodong Zhang

6.0k total citations · 1 hit paper
112 papers, 4.4k citations indexed

About

Xiaodong Zhang is a scholar working on Pulmonary and Respiratory Medicine, Radiation and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Xiaodong Zhang has authored 112 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Pulmonary and Respiratory Medicine, 82 papers in Radiation and 39 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Xiaodong Zhang's work include Radiation Therapy and Dosimetry (82 papers), Advanced Radiotherapy Techniques (78 papers) and Medical Imaging Techniques and Applications (24 papers). Xiaodong Zhang is often cited by papers focused on Radiation Therapy and Dosimetry (82 papers), Advanced Radiotherapy Techniques (78 papers) and Medical Imaging Techniques and Applications (24 papers). Xiaodong Zhang collaborates with scholars based in United States, China and Japan. Xiaodong Zhang's co-authors include Radhe Mohan, Yupeng Li, Joe Y. Chang, Wei Liu, Michael T. Gillin, James D. Cox, Heng Li, X Zhu, Ritsuko Komaki and Narayan Sahoo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Applied Physics and Scientific Reports.

In The Last Decade

Xiaodong Zhang

109 papers receiving 4.3k citations

Hit Papers

Robust optimization of intensity modulated proton therapy 2012 2026 2016 2021 2012 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
Xiaodong Zhang United States 37 3.6k 3.3k 1.5k 386 365 112 4.4k
X Zhu United States 36 3.2k 0.9× 3.2k 1.0× 1.4k 0.9× 268 0.7× 286 0.8× 134 4.1k
Peter G. Maxim United States 33 2.4k 0.7× 1.8k 0.5× 1.5k 1.0× 381 1.0× 406 1.1× 145 3.4k
Stefan Both United States 33 2.1k 0.6× 2.0k 0.6× 1.3k 0.9× 406 1.1× 232 0.6× 206 3.4k
M. Alber Germany 39 2.9k 0.8× 3.4k 1.0× 3.1k 2.0× 182 0.5× 264 0.7× 160 5.0k
Zuofeng Li United States 36 2.8k 0.8× 2.7k 0.8× 1.4k 0.9× 438 1.1× 106 0.3× 160 4.1k
Wilko F.A.R. Verbakel Netherlands 37 3.1k 0.9× 3.7k 1.1× 2.4k 1.6× 480 1.2× 437 1.2× 139 4.6k
Michael T. Gillin United States 46 5.9k 1.6× 5.9k 1.8× 2.8k 1.8× 606 1.6× 286 0.8× 220 7.8k
Craig Stevens United States 38 4.0k 1.1× 2.9k 0.9× 2.6k 1.7× 564 1.5× 160 0.4× 164 5.1k
Daniel L. McShan United States 43 2.4k 0.7× 3.4k 1.0× 2.5k 1.6× 416 1.1× 222 0.6× 128 4.5k
Sanford L. Meeks United States 43 2.8k 0.8× 4.2k 1.3× 3.1k 2.1× 494 1.3× 274 0.8× 175 5.5k

Countries citing papers authored by Xiaodong Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaodong Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaodong Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaodong Zhang. A scholar is included among the top collaborators of Xiaodong Zhang 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 Xiaodong Zhang. Xiaodong Zhang 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.
3.
Zhang, Xiaodong, et al.. (2023). A deep learning-based approach for statistical robustness evaluation in proton therapy treatment planning: a feasibility study. Physics in Medicine and Biology. 68(9). 95014–95014. 7 indexed citations
5.
Chen, Mei, Wenhua Cao, Fada Guan, et al.. (2022). Impact of dose calculation accuracy on inverse linear energy transfer optimization for intensity‐modulated proton therapy. SHILAP Revista de lepidopterología. 7(1). 36–44. 2 indexed citations
6.
Brooks, Eric D., Xiaochun Wang, Brian De, et al.. (2022). An algorithm for thoracic re-irradiation using biologically effective dose: a common language on how to treat in a “no-treat zone”. Radiation Oncology. 17(1). 4–4. 10 indexed citations
7.
Taku, Nicolette, Li Wang, Adam S. Garden, et al.. (2021). Proton Therapy for HPV-Associated Oropharyngeal Cancers of the Head and Neck: a De-Intensification Strategy. Current Treatment Options in Oncology. 22(6). 54–54. 11 indexed citations
8.
Gjyshi, Olsi, Ting Xu, Adnan Elhammali, et al.. (2020). Toxicity and Survival After Intensity-Modulated Proton Therapy Versus Passive Scattering Proton Therapy for NSCLC. Journal of Thoracic Oncology. 16(2). 269–277. 28 indexed citations
9.
Bronk, Lawrence F., M. Kerr, Mary Sobieski, et al.. (2020). Exploring the advantages of intensity-modulated proton therapy: experimental validation of biological effects using two different beam intensity-modulation patterns. Scientific Reports. 10(1). 19101–19101. 14 indexed citations
10.
Yang, Zhiyong, Heng Li, Yupeng Li, et al.. (2019). Statistical evaluation of worst-case robust optimization intensity-modulated proton therapy plans using an exhaustive sampling approach. Radiation Oncology. 14(1). 129–129. 16 indexed citations
11.
Li, Yansheng, et al.. (2017). Hagen-Poiseuille equation: A non-invasive tool for detecting renal pelvic pressure. Biomedical Research-tokyo. 28(6). 2865–2869. 3 indexed citations
12.
Yu, Jen, Xiaodong Zhang, Li Liao, et al.. (2016). Motion‐robust intensity‐modulated proton therapy for distal esophageal cancer. Medical Physics. 43(3). 1111–1118. 56 indexed citations
13.
Wang, Jingqian, Heng Li, Li Liao, et al.. (2016). Novel Hybrid Scattering- and Scanning-Beam Proton Therapy Approach. International Journal of Particle Therapy. 3(1). 37–50. 1 indexed citations
14.
Cao, Wenhua, Gino J. Lim, Li Liao, et al.. (2014). Proton energy optimization and reduction for intensity-modulated proton therapy. Physics in Medicine and Biology. 59(21). 6341–6354. 32 indexed citations
15.
Quan, Enzhuo, Wei Liu, Richard Wu, et al.. (2013). Preliminary evaluation of multifield and single-field optimization for the treatment planning of spot-scanning proton therapy of head and neck cancer. Medical Physics. 40(8). 81709–81709. 71 indexed citations
16.
Zhang, Xiaodong, Wei Liu, Yupeng Li, et al.. (2011). Parameterization of multiple Bragg curves for scanning proton beams using simultaneous fitting of multiple curves. Physics in Medicine and Biology. 56(24). 7725–7735. 24 indexed citations
17.
Zhang, Xiaodong, et al.. (2010). Proton Stereotactic Body Radiation Therapy for Clinically Challenging Cases of Centrally and Superiorly Located Stage I Non-Small-Cell Lung Cancer. International Journal of Radiation Oncology*Biology*Physics. 80(4). 1015–1022. 97 indexed citations
19.
Zhang, Xiaodong, Thomas Guerrero, Sean E. McGuire, et al.. (2008). Four-Dimensional Computed Tomography–Based Treatment Planning for Intensity-Modulated Radiation Therapy and Proton Therapy for Distal Esophageal Cancer. International Journal of Radiation Oncology*Biology*Physics. 72(1). 278–287. 99 indexed citations
20.
Li, Yupeng, Xiaodong Zhang, MingFwu Lii, et al.. (2008). Incorporating partial shining effects in proton pencil-beam dose calculation. Physics in Medicine and Biology. 53(3). 605–616. 10 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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