Justin Roper

1.6k total citations
93 papers, 972 citations indexed

About

Justin Roper is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Biomedical Engineering. According to data from OpenAlex, Justin Roper has authored 93 papers receiving a total of 972 indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Radiology, Nuclear Medicine and Imaging, 45 papers in Radiation and 33 papers in Biomedical Engineering. Recurrent topics in Justin Roper's work include Advanced Radiotherapy Techniques (45 papers), Medical Imaging Techniques and Applications (42 papers) and Radiomics and Machine Learning in Medical Imaging (27 papers). Justin Roper is often cited by papers focused on Advanced Radiotherapy Techniques (45 papers), Medical Imaging Techniques and Applications (42 papers) and Radiomics and Machine Learning in Medical Imaging (27 papers). Justin Roper collaborates with scholars based in United States and Canada. Justin Roper's co-authors include Xiaofeng Yang, Tonghe Wang, Yang Lei, Anees Dhabaan, Jeffrey M. Switchenko, Chih‐Wei Chang, Shaoyan Pan, Walter J. Curran, Pretesh Patel and Jeffrey D. Bradley and has published in prestigious journals such as Journal of neurosurgery, International Journal of Radiation Oncology*Biology*Physics and Physics in Medicine and Biology.

In The Last Decade

Justin Roper

79 papers receiving 957 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Justin Roper United States 17 643 427 319 242 174 93 972
Ana María Barragán Montero Belgium 18 587 0.9× 613 1.4× 482 1.5× 164 0.7× 64 0.4× 47 1.1k
Hesheng Wang United States 18 627 1.0× 341 0.8× 238 0.7× 255 1.1× 163 0.9× 77 1.1k
Guanzhong Gong China 15 470 0.7× 180 0.4× 239 0.7× 92 0.4× 156 0.9× 91 753
Hui Yan China 16 821 1.3× 875 2.0× 553 1.7× 266 1.1× 54 0.3× 66 1.1k
Pengpeng Zhang United States 19 1.1k 1.7× 1.1k 2.7× 788 2.5× 331 1.4× 110 0.6× 83 1.6k
Neelam Tyagi United States 23 1.2k 1.8× 900 2.1× 551 1.7× 290 1.2× 170 1.0× 82 1.6k
Michalis Aristophanous United States 19 773 1.2× 642 1.5× 454 1.4× 164 0.7× 67 0.4× 51 1.0k
Kuo Men China 16 1.1k 1.7× 793 1.9× 379 1.2× 364 1.5× 153 0.9× 85 1.4k
Soumya Ghose United States 15 909 1.4× 192 0.4× 566 1.8× 360 1.5× 336 1.9× 53 1.4k
P. Meyer France 16 394 0.6× 242 0.6× 229 0.7× 135 0.6× 81 0.5× 65 965

Countries citing papers authored by Justin Roper

Since Specialization
Citations

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

Fields of papers citing papers by Justin Roper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Justin Roper

This figure shows the co-authorship network connecting the top 25 collaborators of Justin Roper. A scholar is included among the top collaborators of Justin Roper 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 Justin Roper. Justin Roper 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
1.
Chang, Chih‐Wei, Sibo Tian, Yuan Shao, et al.. (2025). Comparison of proton and photon therapy in stereotactic arrhythmia radioablation for ventricular tachycardia. Physics and Imaging in Radiation Oncology. 35. 100807–100807.
2.
Zhou, Jun, Justin Roper, Anees Dhabaan, et al.. (2025). Photon-counting CT in cancer radiotherapy: technological advances and clinical benefits. Physics in Medicine and Biology. 70(10). 10TR01–10TR01. 2 indexed citations
3.
Chang, Chih‐Wei, Junbo Peng, Shaoyan Pan, et al.. (2024). High-resolution MRI synthesis using a data-driven framework with denoising diffusion probabilistic modeling. Physics in Medicine and Biology. 69(4). 45001–45001. 17 indexed citations
4.
Chang, Chih‐Wei, Yang Lei, Tonghe Wang, et al.. (2024). Deep Learning-Based Fast Volumetric Image Generation for Image-Guided Proton Radiotherapy. IEEE Transactions on Radiation and Plasma Medical Sciences. 8(8). 973–983.
5.
Roper, Justin, et al.. (2024). Lung SBRT: Dose gradient optimization based on target size. Medical dosimetry. 50(1). 70–73.
6.
Chang, Chih‐Wei, Justin Roper, Richard L. J. Qiu, et al.. (2024). Image-domain material decomposition for dual-energy CT using a conditional diffusion model. 80–80.
7.
8.
Sudmeier, Lisa, Zachary S. Buchwald, Mohammad K. Khan, et al.. (2024). Total scalp irradiation: A study comparing multiple types of bolus and VMAT optimization techniques. Journal of Applied Clinical Medical Physics. 25(4). e14260–e14260. 2 indexed citations
9.
Li, Yuheng, Jacob Wynne, Jing Wang, et al.. (2024). Cross‐shaped windows transformer with self‐supervised pretraining for clinically significant prostate cancer detection in bi‐parametric MRI. Medical Physics. 52(2). 993–1004. 5 indexed citations
10.
Hu, Mingzhe, Kailin Yang, Jing Wang, et al.. (2024). MGMT promoter methylation prediction based on multiparametric MRI via vision graph neural network. Journal of Medical Imaging. 11(1). 14503–14503. 1 indexed citations
11.
12.
Pan, Shaoyan, Elham Abouei, Jacob Wynne, et al.. (2024). Synthetic CT generation from MRI using 3D diffusion model. 91–91. 2 indexed citations
13.
Pan, Shaoyan, Elham Abouei, Junbo Peng, et al.. (2024). Full-dose PET synthesis from low-dose PET using 2D high efficiency denoising diffusion probabilistic model. 65–65. 3 indexed citations
14.
Lei, Yang, Yabo Fu, Tonghe Wang, et al.. (2023). Deformable lung 4DCT image registration via landmark‐driven cycle network. Medical Physics. 51(3). 1974–1984. 2 indexed citations
15.
Pan, Shaoyan, Chaoqiong Ma, Chih‐Wei Chang, et al.. (2023). Multi-structure segmentation on cardiac MRI using multilayer perceptron mixer network. 11–11. 1 indexed citations
16.
Lei, Yang, Zhen Tian, Tonghe Wang, et al.. (2023). Deep learning‐based fast volumetric imaging using kV and MV projection images for lung cancer radiotherapy: A feasibility study. Medical Physics. 50(9). 5518–5527. 6 indexed citations
17.
Lei, Yang, Yabo Fu, Tonghe Wang, et al.. (2023). Inter-fraction deformable image registration using unsupervised deep learning for CBCT-guided abdominal radiotherapy. Physics in Medicine and Biology. 68(9). 95003–95003. 2 indexed citations
18.
Pan, Shaoyan, Jacob Wynne, Mingzhe Hu, et al.. (2023). Multi-organ CT segmentation using shifted-window multilayer perceptron mixer. 62. 62–62. 2 indexed citations
19.
Lei, Yang, Neal S. McCall, Jiahan Zhang, et al.. (2022). Mutual enhancing learning-based automatic segmentation of CT cardiac substructure. Physics in Medicine and Biology. 67(10). 105008–105008. 13 indexed citations
20.
Roper, Justin, et al.. (2018). Computer-Aided Star Shot Analysis for Linac Quality Assurance Testing. Nuclear Technology. 205(7). 905–911.

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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