Troy Long
Impact in
- Radiation top 1%
- Advanced Radiotherapy Techniques
- Health Informatics top 5%
Papers in
- Radiation 12
- Advanced Radiotherapy Techniques 12
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- Advanced X-ray and CT Imaging 2
- Wireless Body Area Networks 1
- Co-authors
- Steve Jiang (7 shared papers)Xun Jia (3 shared papers)Dan Nguyen (5 shared papers)Weiguo Lu (6 shared papers)Zohaib Iqbal (3 shared papers)Xuejun Gu (3 shared papers)Daniel A. Low (4 shared papers)Ke Sheng (4 shared papers)
- Journals
- Medical Physics (5 papers)International Journal of Radiation Oncology*Biology*Physics (2 papers)Physics in Medicine and Biology (1 paper)Practical Radiation Oncology (1 paper)Scientific Reports (1 paper)
- Partner nations
- United StatesGermanyChina
In The Last Decade
Troy Long
13 papers receiving 867 citations
Troy Long's Hit Papers
Peers
Comparison fields: 5 of 64
- Radiation 658
- Health Informatics 30
- Radiology, Nuclear Medicine and Imaging 307
- Pulmonary and Respiratory Medicine 260
- Otorhinolaryngology 15
Countries citing papers authored by Troy Long
This map shows the geographic impact of Troy Long'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 Troy Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Troy Long more than expected).
Fields of papers citing papers by Troy Long
This network shows the impact of papers produced by Troy Long. 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 Troy Long. The network helps show where Troy Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Troy Long, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | A feasibility study for predicting optimal radiation therapy dose distributions of prostate cancer patients from patient anatomy using deep learning Hit paper breakdown → | 2019 | 269 |
| 2 | 2012 | 142 | |
| 3 | 2013 | 120 | |
| 4 | 2014 | 88 | |
| 5 | 2014 | 65 | |
| 6 | 2018 | 50 | |
| 7 | 2013 | 40 | |
| 8 | Dose Prediction with U-net: A Feasibility Study for Predicting Dose Distributions from Contours using Deep Learning on Prostate IMRT Patients. | 2017 | 29 |
| 9 | 2013 | 22 | |
| 10 | 2013 | 21 | |
| 11 | 2018 | 12 | |
| 12 | 2018 | 12 | |
| 13 | 2016 | 7 |
About Troy Long
Troy Long is a scholar working on Radiation, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 13 papers that have together received 877 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (12 papers), Advanced X-ray and CT Imaging (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Machine Learning and Algorithms (1 paper), Wireless Body Area Networks (1 paper), Context-Aware Activity Recognition Systems (1 paper), Statistical Methods in Clinical Trials (1 paper) and Medical Imaging Techniques and Applications (1 paper). The work is most often cited by research in Radiation (658 citations), Health Informatics (30 citations), Radiology, Nuclear Medicine and Imaging (307 citations), Pulmonary and Respiratory Medicine (260 citations) and Otorhinolaryngology (15 citations). Troy Long has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Steve Jiang, Xun Jia, Dan Nguyen, Weiguo Lu, Zohaib Iqbal, Xuejun Gu, Daniel A. Low, Ke Sheng, Dan Ruan and Peng Dong. Their work appears in journals such as Medical Physics, International Journal of Radiation Oncology*Biology*Physics, Physics in Medicine and Biology, Practical Radiation Oncology and Scientific Reports.
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.