Mu‐Han Lin

94 papers receiving 1.1k citations

Peers

Mu‐Han Lin
Comparison fields: 5 of 66
  • Radiation 726
  • Health Informatics 43
  • Radiology, Nuclear Medicine and Imaging 362
  • Otorhinolaryngology 37
  • Pulmonary and Respiratory Medicine 263
Replace Hui Yan with:
Hui Yan China
Wouter Crijns Belgium
Dong Joo Rhee United States
Andrea McNiven Canada
Mattea Welch Canada
H. Harold Li United States
Peter Kuess Austria
Vasant Kearney United States
Guillaume Cazoulat United States
Bin Cai United States
Mu‐Han Lin relative to Hui Yan China Hui Yan's profile →
Citations per field
00.5×3.3×
Hui Yan · 1×
Citations per year

Countries citing papers authored by Mu‐Han Lin

Since Specialization
Citations

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

Fields of papers citing papers by Mu‐Han Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019141
2 2018105
3 202073
4 201548
5 202146
6 202138
7 202029
8 202226
9 201326
10 202323
11 202222
12 201221
13 202120
14 201320
15 202220
16 202319
17 201318
18 201517
19 202117
20 200915

About Mu‐Han Lin

Mu‐Han Lin is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Biomedical Engineering and Otorhinolaryngology, having authored 106 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (78 papers), Radiation Therapy and Dosimetry (18 papers), Medical Imaging Techniques and Applications (14 papers), Radiation Dose and Imaging (10 papers), Head and Neck Cancer Studies (9 papers), Advanced X-ray and CT Imaging (9 papers), Prostate Cancer Diagnosis and Treatment (7 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). The work is most often cited by research in Radiation (726 citations), Health Informatics (43 citations), Radiology, Nuclear Medicine and Imaging (362 citations), Otorhinolaryngology (37 citations) and Pulmonary and Respiratory Medicine (263 citations). Mu‐Han Lin has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Steve Jiang, Dan Nguyen, Weiguo Lu, Anjali Balagopal, Ana María Barragán Montero, Raquibul Hannan, David J. Sher, Xavier Geets, Edmond Sterpin and Amir Owrangi. Their work appears in journals such as Medical Physics, Journal of Applied Clinical Medical Physics, International Journal of Radiation Oncology*Biology*Physics, Practical Radiation Oncology and Advances in Radiation Oncology.

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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