Bin Han

60 papers receiving 878 citations

Peers

Bin Han
Comparison fields: 5 of 98
  • Radiation 319
  • Health Informatics 27
  • Radiology, Nuclear Medicine and Imaging 334
  • Pulmonary and Respiratory Medicine 241
  • Gastroenterology 25
Replace Xiaokun Liang with:
Xiaokun Liang China
Kang‐Ping Lin Taiwan
B. Rigaud France
Anna M. Dinkla Netherlands
Shujun Liang China
Dakai Jin United States
Kevin Souris Belgium
Liesbeth Vandewinckele Belgium
Amy Zhao United States
Gregg Tracton United States
Bin Han relative to Xiaokun Liang China Xiaokun Liang's profile →
Citations per field
00.5×1.5×2.2×
Xiaokun Liang · 1×
Citations per year

Countries citing papers authored by Bin Han

Since Specialization
Citations

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

Fields of papers citing papers by Bin Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018102
2 201969
3 201959
4 201944
5 201936
6 201235
7 202334
8 201333
9 202030
10 201829
11 201926
12 202124
13 202021
14 200919
15 201118
16 201817
17 201617
18 202017
19
Clinical course and dosimetry of rectal fistulas after prostate brachytherapy
200116
20 201615

About Bin Han

Bin Han is a scholar working on Radiation, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 71 papers that have together received 903 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (41 papers), Radiation Therapy and Dosimetry (15 papers), Medical Imaging Techniques and Applications (12 papers), Advanced X-ray and CT Imaging (7 papers), Prostate Cancer Diagnosis and Treatment (7 papers), Advanced Neural Network Applications (6 papers), Radiation Dose and Imaging (6 papers) and Advances in Oncology and Radiotherapy (3 papers). The work is most often cited by research in Radiation (319 citations), Health Informatics (27 citations), Radiology, Nuclear Medicine and Imaging (334 citations), Pulmonary and Respiratory Medicine (241 citations) and Gastroenterology (25 citations). Bin Han has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Lei Xing, Mark K. Buyyounouski, Yixuan Yuan, Wenjian Qin, Bulat Ibragimov, Yong Yang, Albert C. Koong, Wei Zhao, H.P. Bagshaw and Daniel T. Chang. Their work appears in journals such as Medical Physics, International Journal of Radiation Oncology*Biology*Physics, Journal of Applied Clinical Medical Physics, Nuclear Technology and Radiation Protection Dosimetry.

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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