Mu‐Han Lin

1.6k total citations
104 papers, 993 citations indexed

About

Mu‐Han Lin is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Mu‐Han Lin has authored 104 papers receiving a total of 993 indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Radiation, 65 papers in Radiology, Nuclear Medicine and Imaging and 59 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Mu‐Han Lin's work include Advanced Radiotherapy Techniques (88 papers), Medical Imaging Techniques and Applications (33 papers) and Radiation Therapy and Dosimetry (32 papers). Mu‐Han Lin is often cited by papers focused on Advanced Radiotherapy Techniques (88 papers), Medical Imaging Techniques and Applications (33 papers) and Radiation Therapy and Dosimetry (32 papers). Mu‐Han Lin collaborates with scholars based in United States, China and Taiwan. Mu‐Han Lin's co-authors include Steve Jiang, Dan Nguyen, Anjali Balagopal, Weiguo Lu, Ana María Barragán Montero, Raquibul Hannan, Edmond Sterpin, Xavier Geets, David J. Sher and Amir Owrangi and has published in prestigious journals such as Journal of Clinical Oncology, JNCI Journal of the National Cancer Institute and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Mu‐Han Lin

90 papers receiving 985 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mu‐Han Lin United States 17 773 658 466 250 74 104 993
Wouter Crijns Belgium 18 850 1.1× 662 1.0× 559 1.2× 218 0.9× 68 0.9× 59 1.1k
Hui Yan China 16 875 1.1× 821 1.2× 553 1.2× 266 1.1× 64 0.9× 66 1.1k
Michalis Aristophanous United States 19 642 0.8× 773 1.2× 454 1.0× 164 0.7× 65 0.9× 51 1.0k
Taoran Li United States 20 932 1.2× 668 1.0× 594 1.3× 225 0.9× 38 0.5× 59 1.1k
H. Harold Li United States 17 997 1.3× 877 1.3× 596 1.3× 144 0.6× 40 0.5× 46 1.2k
Vasant Kearney United States 14 461 0.6× 613 0.9× 182 0.4× 305 1.2× 118 1.6× 29 821
Dong Joo Rhee United States 15 429 0.6× 467 0.7× 167 0.4× 170 0.7× 85 1.1× 43 660
Tingliang Zhuang United States 13 360 0.5× 451 0.7× 367 0.8× 171 0.7× 43 0.6× 53 718
Matteo Maspero Netherlands 18 632 0.8× 835 1.3× 249 0.5× 309 1.2× 78 1.1× 45 1.1k
Jianrong Dai China 11 443 0.6× 483 0.7× 241 0.5× 171 0.7× 53 0.7× 44 616

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-authorship network of co-authors of Mu‐Han Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Mu‐Han Lin. A scholar is included among the top collaborators of Mu‐Han Lin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mu‐Han Lin. Mu‐Han Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sher, David J., Vladimir Avkshtol, Mu‐Han Lin, et al.. (2025). Impact of daily adaptive head and neck radiotherapy on toxicity and quality of life: results of the DARTBOARD phase II randomized trial. JNCI Journal of the National Cancer Institute. 117(12). 2488–2494. 1 indexed citations
2.
3.
Lin, Mu‐Han, et al.. (2024). Safe Hypofractionation Amid Diverse Technologies: Using Teamwork to Manage the Complexity. Seminars in Radiation Oncology. 34(4). 395–401.
4.
Arbab, Mona, et al.. (2024). Master Breast Radiation Planning: Simple Guide for Radiation Oncology Residents. Advances in Radiation Oncology. 9(6). 101476–101476.
5.
Rahman, Mahbubur, Zohaib Iqbal, David Parsons, et al.. (2024). Mitigating Risks in Cone Beam Computed Tomography Guided Online Adaptive Radiation Therapy: A Preventative Reference Planning Review Approach. Advances in Radiation Oncology. 9(11). 101614–101614. 2 indexed citations
6.
Zhuang, Tingliang, David Parsons, Neil Desai, et al.. (2024). Simulation and pre-planning omitted radiotherapy (SPORT): a feasibility study for prostate cancer. Biomedical Physics & Engineering Express. 10(2). 25019–25019. 3 indexed citations
7.
Zhuang, Tingliang, Kai Wang, David Parsons, et al.. (2024). Adapt-On-Demand: A Novel Strategy for Personalized Adaptive Radiation Therapy for Locally Advanced Lung Cancer. Practical Radiation Oncology. 14(5). e395–e406. 7 indexed citations
8.
Zhong, Xinran, Hui‐Ju Wang, Arnold Pompoš, et al.. (2024). Assessing population‐based to personalized planning strategies for head and neck adaptive radiotherapy. Journal of Applied Clinical Medical Physics. 26(3). e14576–e14576.
9.
Zhong, Xinran, Md. Mahbubur Rahman, Margaret M. Kozak, et al.. (2024). Cone Beam Online Adaptive Radiation Therapy: A Promising Approach for Gastric Mucosa-Associated Lymphoid Tissue Lymphoma?. Advances in Radiation Oncology. 10(2). 101692–101692. 1 indexed citations
10.
Fanelli, C., Lino Oscar Gerlach, W. Guan, et al.. (2024). AI-assisted detector design for the EIC (AID(2)E). Journal of Instrumentation. 19(7). C07001–C07001. 2 indexed citations
11.
Lin, Mu‐Han, James Kavanaugh, Minsun Kim, Carlos Cárdenas, & Yi Rong. (2023). Physicists should perform reference planning for CBCT guided online adaptive radiotherapy. Journal of Applied Clinical Medical Physics. 24(10). e14163–e14163. 3 indexed citations
12.
Lin, Jingying, Youfang Lai, Junjie Wu, et al.. (2023). ART2Dose: A comprehensive dose verification platform for online adaptive radiotherapy. Medical Physics. 51(1). 18–30. 7 indexed citations
13.
Liang, Xiao, et al.. (2023). Single patient learning for adaptive radiotherapy dose prediction. Medical Physics. 50(12). 7324–7337. 6 indexed citations
14.
Avkshtol, Vladimir, et al.. (2023). Early Experience of Online Adaptive Radiation Therapy for Definitive Radiation of Patients With Head and Neck Cancer. Advances in Radiation Oncology. 8(5). 101256–101256. 19 indexed citations
15.
Parsons, David, Dominic H. Moon, Vladimir Avkshtol, et al.. (2023). Evaluating machine learning enhanced intelligent‐optimization‐engine (IOE) performance for ethos head‐and‐neck (HN) plan generation. Journal of Applied Clinical Medical Physics. 24(7). e13950–e13950. 18 indexed citations
16.
Sher, David J., Vladimir Avkshtol, Mu‐Han Lin, et al.. (2023). Acute Toxicity and Efficiency Outcomes in the DARTBOARD Randomized Trial of Daily Adaptive Radiotherapy for Head and Neck Squamous Cell Carcinoma. International Journal of Radiation Oncology*Biology*Physics. 117(4). e6–e6. 8 indexed citations
17.
Lin, Mu‐Han, et al.. (2022). Case Report: Adaptive radiotherapy in the radiation salvage of prostate cancer. Frontiers in Oncology. 12. 898822–898822. 4 indexed citations
18.
Nguyen, Dan, Ana María Barragán Montero, Sebastiaan Breedveld, et al.. (2020). Dose prediction with deep learning for prostate cancer radiation therapy: Model adaptation to different treatment planning practices. Radiotherapy and Oncology. 153. 228–235. 69 indexed citations
19.
Lin, Mu‐Han, et al.. (2015). Robotic radiosurgery system patient‐specific QA for extracranial treatments using the planar ion chamber array and the cylindrical diode array. Journal of Applied Clinical Medical Physics. 16(4). 290–305. 17 indexed citations
20.
Lin, Mu‐Han, et al.. (2013). Measurement comparison and Monte Carlo analysis for volumetric‐modulated arc therapy (VMAT) delivery verification using the ArcCHECK dosimetry system. Journal of Applied Clinical Medical Physics. 14(2). 220–233. 14 indexed citations

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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