Dan Nguyen

4.3k total citations · 2 hit papers
120 papers, 2.8k citations indexed

About

Dan Nguyen is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Dan Nguyen has authored 120 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Radiation, 62 papers in Radiology, Nuclear Medicine and Imaging and 47 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Dan Nguyen's work include Advanced Radiotherapy Techniques (68 papers), Medical Imaging Techniques and Applications (32 papers) and Radiation Therapy and Dosimetry (29 papers). Dan Nguyen is often cited by papers focused on Advanced Radiotherapy Techniques (68 papers), Medical Imaging Techniques and Applications (32 papers) and Radiation Therapy and Dosimetry (29 papers). Dan Nguyen collaborates with scholars based in United States, China and Belgium. Dan Nguyen's co-authors include Steve Jiang, Xun Jia, Ke Sheng, Weiguo Lu, Mu‐Han Lin, Victoria Yu, Zohaib Iqbal, Chenyang Shen, Ana María Barragán Montero and Troy Long and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Dan Nguyen

109 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 Dan Nguyen, Troy Long et al. profile →
Artificial intelligence and machine learning for medical imaging: A technology review

2021 236 citations Ana María Barragán Montero, Umair Javaid et al. Physica Medica profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dan Nguyen United States	30	1.7k	1.7k	1.1k	601	359	120	2.8k
Lois Holloway Australia	28	2.6k 1.5×	2.2k 1.3×	1.5k 1.4×	623 1.0×	448 1.2×	260	4.1k
Jason Dowling Australia	24	1.7k 1.0×	1.1k 0.7×	550 0.5×	662 1.1×	381 1.1×	129	2.7k
Weiguo Lu United States	28	2.3k 1.4×	2.5k 1.5×	1.4k 1.3×	745 1.2×	215 0.6×	132	3.2k
Annette Haworth Australia	28	1.4k 0.8×	1.5k 0.9×	1.4k 1.3×	387 0.6×	230 0.6×	143	2.7k
Pretesh Patel United States	33	1.4k 0.8×	949 0.6×	1.3k 1.2×	636 1.1×	274 0.8×	180	3.1k
Xuejun Gu United States	28	2.1k 1.2×	1.6k 1.0×	867 0.8×	1.0k 1.7×	246 0.7×	154	2.8k
Geoffrey Zhang United States	28	2.3k 1.4×	1.5k 0.9×	1.5k 1.5×	825 1.4×	236 0.7×	100	3.1k
Sergios Gatidis Germany	32	1.9k 1.1×	230 0.1×	615 0.6×	527 0.9×	313 0.9×	168	3.4k
Quan Chen United States	32	1.8k 1.1×	1.1k 0.7×	736 0.7×	1.1k 1.9×	164 0.5×	187	3.2k
Mark J. Gooding United Kingdom	21	1.1k 0.7×	781 0.5×	378 0.4×	453 0.8×	252 0.7×	64	1.6k

Countries citing papers authored by Dan Nguyen

Since Specialization

Citations

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

Fields of papers citing papers by Dan Nguyen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Nguyen

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Nguyen. A scholar is included among the top collaborators of Dan Nguyen 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 Dan Nguyen. Dan Nguyen 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

Nguyen, Dan, et al.. (2025). Geometry-encoded deep learning (GeoDL) framework for real-time 3D dose verification for online adaptive radiotherapy. PubMed. 1(1). 15004–15004.

Weisbein, Jacqueline, Douglas P. Beall, Dan Nguyen, et al.. (2025). Safety and initial effectiveness of minimally invasive sacroiliac joint fusion with metal implants using a lateral transiliac approach: a prospective trial. Pain Medicine. 26(12). 918–923.

Nguyen, Dan, et al.. (2024). Can input reconstruction be used to directly estimate uncertainty of a dose prediction U‐Net model?. Medical Physics. 51(10). 7369–7377. 1 indexed citations

Zhuang, Tingliang, David Parsons, Neil Desai, et al.. (2024). Simulation and pre-planning omitted radiotherapy (SPORT): a feasibility study for prostate cancer. Biomedical Physics & Engineering Express. 10(2). 25019–25019. 3 indexed citations

Nguyen, Dan, et al.. (2024). Segmentation of liver and liver lesions using deep learning. Physical and Engineering Sciences in Medicine. 47(2). 611–619. 8 indexed citations

Nguyen, Dan, Luca Incrocci, A.W. Sharfo, et al.. (2024). Deep learning dose prediction to approach Erasmus-iCycle dosimetric plan quality within seconds for instantaneous treatment planning. Radiotherapy and Oncology. 203. 110662–110662. 1 indexed citations

Sayed, Dawood, Timothy R. Deer, Vinicius Tieppo Francio, et al.. (2024). American Society of Pain and Neuroscience Best Practice (ASPN) Guideline for the Treatment of Sacroiliac Disorders. Journal of Pain Research. Volume 17. 1601–1638. 4 indexed citations

Nguyen, Dan, et al.. (2024). Quality assurance for online adaptive radiotherapy: a secondary dose verification model with geometry-encoded U-Net. Machine Learning Science and Technology. 5(4). 45013–45013. 1 indexed citations

Nguyen, Dan, M. Sattler, András Zolnay, et al.. (2024). Deep learning prediction of scenario doses for direct plan robustness evaluations in IMPT for head-and-neck. Physics in Medicine and Biology. 69(22). 225014–225014.

10.

Liang, Xiao, et al.. (2023). Single patient learning for adaptive radiotherapy dose prediction. Medical Physics. 50(12). 7324–7337. 6 indexed citations

11.

Nguyen, Dan, et al.. (2022). SARS-CoV-2 Infection and Increased Risk for Pediatric Stroke. Pediatric Neurology. 142. 89–94. 5 indexed citations

12.

Montero, Ana María Barragán, Adrien Bibal, Gilmer Valdés, et al.. (2022). Towards a safe and efficient clinical implementation of machine learning in radiation oncology by exploring model interpretability, explainability and data-model dependency. Physics in Medicine and Biology. 67(11). 11TR01–11TR01. 48 indexed citations

13.

Montero, Ana María Barragán, Umair Javaid, Gilmer Valdés, et al.. (2021). Artificial intelligence and machine learning for medical imaging: A technology review. Physica Medica. 83. 242–256. 236 indexed citations breakdown →

14.

Balagopal, Anjali, Xinran Zhong, Azar Sadeghnejad Barkousaraie, et al.. (2021). Site-Agnostic 3D Dose Distribution Prediction with Deep Learning Neural Networks. arXiv (Cornell University). 19 indexed citations

15.

Nguyen, Dan, Ana María Barragán Montero, Sebastiaan Breedveld, et al.. (2020). Dose prediction with deep learning for prostate cancer radiation therapy: Model adaptation to different treatment planning practices. Radiotherapy and Oncology. 153. 228–235. 69 indexed citations

16.

O’Connor, Daniel, Victoria Yu, Dan Nguyen, Dan Ruan, & Ke Sheng. (2018). Fraction-variant beam orientation optimization for non-coplanar IMRT. eScholarship (California Digital Library). 22 indexed citations

17.

O’Connor, Daniel, Dan Nguyen, Victoria Yu, et al.. (2018). Integrated beam orientation and scanning‐spot optimization in intensity‐modulated proton therapy for brain and unilateral head and neck tumors. Medical Physics. 45(4). 1338–1350. 48 indexed citations

18.

Yu, Victoria, Kaley Woods, Dan Nguyen, et al.. (2018). A Prospective 4π Radiation Therapy Clinical Study in Recurrent High-Grade Glioma Patients. International Journal of Radiation Oncology*Biology*Physics. 101(1). 144–151. 39 indexed citations

19.

Nguyen, Dan, Troy Long, Xun Jia, et al.. (2017). Dose Prediction with U-net: A Feasibility Study for Predicting Dose Distributions from Contours using Deep Learning on Prostate IMRT Patients.. arXiv (Cornell University). 24 indexed citations

20.

Woods, Kaley, Dan Nguyen, Victoria Yu, et al.. (2016). Viability of Noncoplanar VMAT for liver SBRT compared with coplanar VMAT and beam orientation optimized 4π IMRT. Advances in Radiation Oncology. 1(1). 67–75. 47 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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