Yu Lei

568 total citations
34 papers, 375 citations indexed

About

Yu Lei is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yu Lei has authored 34 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Radiation, 20 papers in Radiology, Nuclear Medicine and Imaging and 17 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yu Lei's work include Advanced Radiotherapy Techniques (24 papers), Medical Imaging Techniques and Applications (12 papers) and Radiation Therapy and Dosimetry (12 papers). Yu Lei is often cited by papers focused on Advanced Radiotherapy Techniques (24 papers), Medical Imaging Techniques and Applications (12 papers) and Radiation Therapy and Dosimetry (12 papers). Yu Lei collaborates with scholars based in United States and China. Yu Lei's co-authors include Dandan Zheng, S. Zhou, Qiuwen Wu, Georgios Kalantzis, Charles A. Enke, Nathan R. Bennion, Jiazhou Wang, Xiaofeng Zhu, Weigang Hu and Guang Han and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Yu Lei

29 papers receiving 370 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu Lei United States 12 229 205 189 55 54 34 375
Nataliya Kovalchuk United States 13 276 1.2× 275 1.3× 177 0.9× 38 0.7× 59 1.1× 64 484
James Kavanaugh United States 13 351 1.5× 300 1.5× 249 1.3× 25 0.5× 75 1.4× 39 503
Christian V. Guthier United States 9 183 0.8× 282 1.4× 146 0.8× 26 0.5× 71 1.3× 27 416
A. Scaggion Italy 10 212 0.9× 192 0.9× 119 0.6× 14 0.3× 81 1.5× 33 307
Claudio Votta Italy 10 178 0.8× 282 1.4× 99 0.5× 64 1.2× 75 1.4× 33 335
M. Fusella Italy 13 546 2.4× 400 2.0× 301 1.6× 24 0.4× 120 2.2× 36 642
L.C. Orlandini China 10 214 0.9× 210 1.0× 139 0.7× 36 0.7× 58 1.1× 41 334
Philip Whitehurst United Kingdom 11 240 1.0× 221 1.1× 212 1.1× 37 0.7× 52 1.0× 21 441
Dave Shepard Japan 3 276 1.2× 196 1.0× 208 1.1× 18 0.3× 51 0.9× 6 337
A. Roggio Italy 10 362 1.6× 248 1.2× 225 1.2× 18 0.3× 82 1.5× 20 416

Countries citing papers authored by Yu Lei

Since Specialization
Citations

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

Fields of papers citing papers by Yu Lei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Lei

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Lei. A scholar is included among the top collaborators of Yu Lei 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 Yu Lei. Yu Lei 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.
Lei, Yu, Feng Shi, Guoping Shan, et al.. (2025). Multicenter study on the versatility and adoption of AI-driven automated radiotherapy planning across cancer types. Nature Communications. 17(1). 867–867.
3.
Lei, Yang, Jiahan Zhang, Shouyi Wei, et al.. (2025). Beam orientation optimization in IMRT using sparse mixed integer programming and non-convex fluence map optimization. Physics in Medicine and Biology. 70(13). 135014–135014.
4.
Wang, Shuo, Yu Lei, Apar Kishor Ganti, et al.. (2024). Enhancing Survival Outcome Predictions in Metastatic Non-Small Cell Lung Cancer Through PET Radiomics Analysis. Cancers. 16(22). 3731–3731.
5.
Lei, Yu, Jun Zhao, Zhiyuan Zhang, et al.. (2023). Technical note: First implementation of a one‐stop solution of radiotherapy with full‐workflow automation based on CT‐linac combination. Medical Physics. 50(5). 3117–3126. 6 indexed citations
6.
Lei, Yu, et al.. (2022). Evaluation of a hybrid automatic planning solution for rectal cancer. Radiation Oncology. 17(1). 166–166. 4 indexed citations
7.
Wong, Jeffrey, Michael J. Baine, Nathan R. Bennion, et al.. (2021). Effects of interobserver and interdisciplinary segmentation variabilities on CT-based radiomics for pancreatic cancer. Scientific Reports. 11(1). 16328–16328. 28 indexed citations
8.
Lei, Yu, et al.. (2021). Evaluation of Daily CT for EPID-Based Transit In Vivo Dosimetry. Frontiers in Oncology. 11. 782263–782263. 10 indexed citations
9.
Zhong, Yang, Yu Lei, Jun Zhao, et al.. (2021). Clinical Implementation of Automated Treatment Planning for Rectum Intensity-Modulated Radiotherapy Using Voxel-Based Dose Prediction and Post-Optimization Strategies. Frontiers in Oncology. 11. 697995–697995. 11 indexed citations
10.
Zhou, S., Dandan Zheng, Ying Yan, et al.. (2020). Minimum dose rate estimation for pulsed FLASH radiotherapy: A dimensional analysis. Medical Physics. 47(7). 3243–3249. 32 indexed citations
11.
Wei, Wei, Dandan Zheng, Yu Lei, et al.. (2020). Radiotherapy workflow and protection procedures during the Coronavirus Disease 2019 (COVID-19) outbreak: Experience of the Hubei Cancer Hospital in Wuhan, China. Radiotherapy and Oncology. 148. 203–210. 63 indexed citations
12.
Lei, Yu, et al.. (2020). Primary Neuroendocrine Tumor of the Ileostomy Stoma on 68Ga-DOTATATE PET/CT. Clinical Nuclear Medicine. 45(6). 463–464. 1 indexed citations
13.
Zheng, Dandan, Chi Lin, Yu Lei, et al.. (2019). Technical Assessment of an Automated Treatment Planning on Dose Escalation of Pancreas Stereotactic Body Radiotherapy. Technology in Cancer Research & Treatment. 18. 1078119168–1078119168. 5 indexed citations
14.
Zhou, S., Qiuwen Wu, Dandan Zheng, et al.. (2017). Using weighted power mean for equivalent square estimation. Journal of Applied Clinical Medical Physics. 18(6). 194–199.
15.
Zhou, S., Xiaofeng Zhu, Mutian Zhang, et al.. (2016). Estimation of internal organ motion-induced variance in radiation dose in non-gated radiotherapy. Physics in Medicine and Biology. 61(23). 8157–8179. 12 indexed citations
16.
Zheng, Dandan, Xiaofeng Zhu, Qinghui Zhang, et al.. (2016). Target dose conversion modeling from pencil beam (PB) to Monte Carlo (MC) for lung SBRT. Radiation Oncology. 11(1). 83–83. 14 indexed citations
17.
Zheng, Dandan, Yu Lei, Bruno Morgan, et al.. (2014). A new variable for SRS plan quality evaluation based on normal tissue sparing: the effect of prescription isodose levels. British Journal of Radiology. 87(1043). 20140362–20140362. 14 indexed citations
18.
Kalantzis, Georgios & Yu Lei. (2014). A self-tuned bat algorithm for optimization in radiation therapy treatment planning. 1–6. 4 indexed citations
19.
Kalantzis, Georgios, et al.. (2011). Toward IMRT 2D dose modeling using artificial neural networks: A feasibility study. Medical Physics. 38(10). 5807–5817. 11 indexed citations
20.
Lei, Yu & Qiuwen Wu. (2010). A hybrid strategy of offline adaptive planning and online image guidance for prostate cancer radiotherapy. Physics in Medicine and Biology. 55(8). 2221–2234. 24 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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