Dan Ruan

4.3k citations
193 papers · 3.2k indexed · h-index 32

Dan Ruan

177 papers receiving 3.2k citations

Peers

Dan Ruan
Comparison fields: 5 of 133
  • Radiation 1.9k
  • Radiology, Nuclear Medicine and Imaging 1.8k
  • Pulmonary and Respiratory Medicine 1.4k
  • Health Informatics 40
  • Computer Vision and Pattern Recognition 322
Replace Geoffrey Zhang with:
Geoffrey Zhang United States
Annette Haworth Australia
R. de Crevoisier France
Pretesh Patel United States
Simon Doran United Kingdom
Eduard Schreibmann United States
Carri Glide‐Hurst United States
Christoph Bert Germany
Robert A. Cormack United States
Lois Holloway Australia
Dan Ruan relative to Geoffrey Zhang United States Geoffrey Zhang's profile →
Citations per field
00.5×1.5×2.4×
Geoffrey Zhang · 1×
Citations per year

Countries citing papers authored by Dan Ruan

Since Specialization
Citations

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

Fields of papers citing papers by Dan Ruan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Dan Ruan, 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 Dan Ruan Line = papers co-authored together Dan Ruan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20240
4 20244
5 20230
6 20235
7 20238
8 202077
9 20201
10 202043
11 202023
12 202016
13 20192
14 201916
15
Fraction-variant beam orientation optimization for non-coplanar IMRT
201822
16 201848
17 20152
18 2012137
19 201041
20 201067

About Dan Ruan

Dan Ruan is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 193 papers that have together received 3.2k indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (100 papers), Medical Imaging Techniques and Applications (65 papers), Radiation Therapy and Dosimetry (38 papers), Medical Image Segmentation Techniques (28 papers), Advanced MRI Techniques and Applications (25 papers), Advanced X-ray and CT Imaging (23 papers), Radiomics and Machine Learning in Medical Imaging (21 papers) and Lung Cancer Diagnosis and Treatment (17 papers). The work is most often cited by research in Radiation (1.9k citations), Radiology, Nuclear Medicine and Imaging (1.8k citations) and Pulmonary and Respiratory Medicine (1.4k citations). Dan Ruan has collaborated with scholars based in United States, China and Denmark. Frequent co-authors include Ke Sheng, Paul Keall, Daniel A. Low, Jeffrey A. Fessler, James M. Balter, Amit Sawant, Byungchul Cho, Yingli Yang, P.R. Poulsen and Daniel O’Connor. Their work appears in journals such as Medical Physics, International Journal of Radiation Oncology*Biology*Physics, Physics in Medicine and Biology, Frontiers in Oncology and Journal of Wind Engineering and Industrial Aerodynamics.

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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