Xiaomin Zheng

639 total citations
27 papers, 417 citations indexed

About

Xiaomin Zheng is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Radiation. According to data from OpenAlex, Xiaomin Zheng has authored 27 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Pulmonary and Respiratory Medicine and 10 papers in Radiation. Recurrent topics in Xiaomin Zheng's work include Advanced Radiotherapy Techniques (10 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Medical Imaging Techniques and Applications (5 papers). Xiaomin Zheng is often cited by papers focused on Advanced Radiotherapy Techniques (10 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Medical Imaging Techniques and Applications (5 papers). Xiaomin Zheng collaborates with scholars based in China, United States and Belgium. Xiaomin Zheng's co-authors include Congying Xie, Ce Han, Xiance Jin, Yongqiang Zhou, Liting Qian, Yaogang Wang, Xia Deng, Zhi Cao, Xilin Yang and Shu Li and has published in prestigious journals such as British Journal of Cancer, The Lancet Infectious Diseases and Physics in Medicine and Biology.

In The Last Decade

Xiaomin Zheng

24 papers receiving 411 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaomin Zheng China 13 245 129 104 99 75 27 417
A.I. Ghanem United States 11 175 0.7× 95 0.7× 95 0.9× 41 0.4× 58 0.8× 56 390
Tian‐Tian Zhai China 13 273 1.1× 166 1.3× 68 0.7× 81 0.8× 152 2.0× 35 486
Durmuş Etiz Türkiye 11 103 0.4× 196 1.5× 56 0.5× 119 1.2× 57 0.8× 30 350
Kwun-Ye Chu United Kingdom 10 174 0.7× 59 0.5× 56 0.5× 74 0.7× 42 0.6× 24 329
Geetha Menon Canada 10 146 0.6× 128 1.0× 234 2.3× 24 0.2× 90 1.2× 34 367
Alessandra Franzetti-Pellanda Switzerland 8 88 0.4× 147 1.1× 155 1.5× 75 0.8× 91 1.2× 19 360
Danny Lee United States 14 283 1.2× 170 1.3× 291 2.8× 42 0.4× 13 0.2× 35 463
Federica Elisei Italy 17 280 1.1× 152 1.2× 79 0.8× 75 0.8× 117 1.6× 31 748
Florent Hugonnet France 10 209 0.9× 151 1.2× 22 0.2× 46 0.5× 105 1.4× 17 419

Countries citing papers authored by Xiaomin Zheng

Since Specialization
Citations

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

Fields of papers citing papers by Xiaomin Zheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaomin Zheng

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaomin Zheng. A scholar is included among the top collaborators of Xiaomin Zheng 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 Xiaomin Zheng. Xiaomin Zheng 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.
Zheng, Xiaomin, Mengmeng Zhao, Cuiping Li, et al.. (2025). Automatic segmentation and CT-based deep learning radiomics nomogram for predicting overall survival in patients with small cell lung cancer: A multicenter cohort study. Computer Methods and Programs in Biomedicine. 274. 109161–109161.
2.
Zhang, Mingzhu, Run‐Ze Ye, Xiaoming Cui, et al.. (2024). A series of patients infected with the emerging tick-borne Yezo virus in China: an active surveillance and genomic analysis. The Lancet Infectious Diseases. 25(4). 390–398. 11 indexed citations
3.
Zheng, Xiaomin, Na Shen, Yankun Gao, et al.. (2024). Predicting overall survival and prophylactic cranial irradiation benefit in small-cell lung cancer with CT-based deep learning: A retrospective multicenter study. Radiotherapy and Oncology. 195. 110221–110221. 5 indexed citations
4.
5.
Zheng, Xiaomin, Cuiping Li, Chao Zhu, et al.. (2023). A CT-based radiomics nomogram for predicting the progression-free survival in small cell lung cancer: a multicenter cohort study. La radiologia medica. 128(11). 1386–1397. 14 indexed citations
6.
Li, Cuiping, et al.. (2021). Predictive Ki-67 Proliferation Index of Cervical Squamous Cell Carcinoma Based on IVIM-DWI Combined with Texture Features. Contrast Media & Molecular Imaging. 2021. 1–8. 12 indexed citations
7.
Zheng, Xiaomin, Wei Song, Xiaoqing Liu, et al.. (2021). Association of anaplastic lymphoma kinase variants and alterations with ensartinib response duration in non‐small cell lung cancer. Thoracic Cancer. 12(17). 2388–2399. 9 indexed citations
8.
9.
Zhao, Shijun, Xiaomin Zheng, Wei Song, et al.. (2021). MRI radiomic signature predicts intracranial progression-free survival in patients with brain metastases of ALK-positive non-small cell lung cancer. Translational Lung Cancer Research. 10(1). 368–380. 21 indexed citations
10.
Cao, Zhi, Xiaomin Zheng, Hongxi Yang, et al.. (2020). Association of obesity status and metabolic syndrome with site-specific cancers: a population-based cohort study. British Journal of Cancer. 123(8). 1336–1344. 57 indexed citations
11.
Han, Ce, Yongqiang Zhou, Yao Ai, et al.. (2020). Cross verification of independent dose recalculation, log files based, and phantom measurement‐based pretreatment quality assurance for volumetric modulated arc therapy. Journal of Applied Clinical Medical Physics. 21(11). 98–104. 12 indexed citations
12.
Zhou, Yongqiang, Yao Ai, Ce Han, et al.. (2020). Impact of setup errors on multi‐isocenter volumetric modulated arc therapy for craniospinal irradiation. Journal of Applied Clinical Medical Physics. 21(11). 115–123. 10 indexed citations
13.
14.
Shen, Lanxiao, Juebin Jin, Ce Han, et al.. (2019). <p>Association of lung and heart dose with survival in patients with non-small cell lung cancer underwent volumetric modulated arc therapy</p>. Cancer Management and Research. Volume 11. 6091–6098. 6 indexed citations
15.
Jin, Xiance, Baochai Lin, Didi Chen, et al.. (2019). Safety and outcomes of volumetric modulated arc therapy in the treatment of patients with inoperable lung cancer. Journal of Cancer. 10(13). 2868–2873. 8 indexed citations
16.
Jin, Xiance, Xiaomin Zheng, Didi Chen, et al.. (2019). Prediction of response after chemoradiation for esophageal cancer using a combination of dosimetry and CT radiomics. European Radiology. 29(11). 6080–6088. 64 indexed citations
17.
Chen, Didi, Ce Han, Xiaomin Zheng, et al.. (2018). Partial and Full Arc Volumetric Modulated Arc Therapy in Lung Cancer Stereotactic Body Radiotherapy with Different Definitions of Internal Target Volume Based on 4D CT. International Journal of Medical Physics Clinical Engineering and Radiation Oncology. 7(4). 491–502. 3 indexed citations
18.
19.
Shen, Lanxiao, Xiaomin Zheng, Yongqiang Zhou, et al.. (2017). Dosimetric advantage of volumetric modulated arc therapy in the treatment of intraocular cancer. Radiation Oncology. 12(1). 83–83. 12 indexed citations
20.
Cao, Xun, Lin Zhang, Juan Yang, et al.. (2012). Preoperative Cyfra21-1 and SCC-Ag serum titers predict survival in patients with stage II esophageal squamous cell carcinoma. Journal of Translational Medicine. 10(1). 197–197. 34 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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