Troy Long

1.1k citations
13 papers · 840 indexed · 1 hit paper · h-index 12

Impact in

Papers in

Troy Long

13 papers receiving 832 citations

Hit Papers

A feasibility study for predicting optimal radiation therapy dose distributions of prostate cancer patients from patient anatomy using deep learning 2019 · 254 citations
2540+2+4Years since publication50100150200250

Peers

Troy Long
Comparison fields: 5 of 69
  • Radiation 704
  • Health Informatics 33
  • Radiology, Nuclear Medicine and Imaging 510
  • Pulmonary and Respiratory Medicine 468
  • Otorhinolaryngology 20
Replace Wouter Crijns with:
Wouter Crijns Belgium
Kevin Souris Belgium
Jianrong Dai China
Steve Jiang United States
Linghong Zhou China
Mark Bangert Germany
Anna M. Dinkla Netherlands
Saikit Lam Hong Kong
Patricio Simari United States
Jason Xie Canada
Troy Long relative to Wouter Crijns Belgium Wouter Crijns's profile →
Citations per field
00.5×1.5×2.4×
Wouter Crijns · 1×
Citations per year

Countries citing papers authored by Troy Long

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Troy Long Line = papers co-authored together Troy Long links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#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 →
2019254
2 2012137
3 2013115
4 201488
5 201463
6 201847
7 201340
8
Dose Prediction with U-net: A Feasibility Study for Predicting Dose Distributions from Contours using Deep Learning on Prostate IMRT Patients.
201724
9 201322
10 201321
11 201812
12 201811
13 20166

About Troy Long

Troy Long is a scholar working on Radiation, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Computer Vision and Pattern Recognition, having authored 13 papers that have together received 840 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (12 papers), Radiation Therapy and Dosimetry (7 papers), Medical Imaging Techniques and Applications (5 papers), Advanced X-ray and CT Imaging (3 papers), Lung Cancer Diagnosis and Treatment (2 papers), Wireless Body Area Networks (2 papers), Effects of Radiation Exposure (1 paper) and Prostate Cancer Diagnosis and Treatment (1 paper). The work is most often cited by research in Radiation (704 citations), Health Informatics (33 citations), Radiology, Nuclear Medicine and Imaging (510 citations), Pulmonary and Respiratory Medicine (468 citations) and Otorhinolaryngology (20 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, Peng Dong, Edwin Romeijn, Daniel A. Low and Ke Sheng. Their work appears in journals such as Medical Physics, International Journal of Radiation Oncology*Biology*Physics, Scientific Reports, Practical Radiation Oncology and GigaScience.

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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