Xueyi Zheng

989 total citations · 1 hit paper
15 papers, 605 citations indexed

About

Xueyi Zheng is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Biomedical Engineering. According to data from OpenAlex, Xueyi Zheng has authored 15 papers receiving a total of 605 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Oncology and 4 papers in Biomedical Engineering. Recurrent topics in Xueyi Zheng's work include Ultrasound Imaging and Elastography (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Photoacoustic and Ultrasonic Imaging (4 papers). Xueyi Zheng is often cited by papers focused on Ultrasound Imaging and Elastography (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Photoacoustic and Ultrasonic Imaging (4 papers). Xueyi Zheng collaborates with scholars based in China, Canada and United States. Xueyi Zheng's co-authors include Jianhua Zhou, Yubo Liu, Yini Huang, Fei Li, Yun Wang, Rushuang Mao, Yixin Hu, Yao Zhao, Yuanyuan Wang and Yanyan Yu and has published in prestigious journals such as Nature Communications, Nature Cell Biology and Frontiers in Immunology.

In The Last Decade

Xueyi Zheng

13 papers receiving 602 citations

Hit Papers

Deep learning radiomics can predict axillary lymph node s... 2020 2026 2022 2024 2020 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Deep learning radiomics can predict axillary lymph node status in early-stage breast cancer
    2020 402 citations Xueyi Zheng, Yao Zhao et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xueyi Zheng China 9 418 228 110 102 101 15 605
Yini Huang China 10 493 1.2× 266 1.2× 107 1.0× 67 0.7× 131 1.3× 23 665
Yixin Hu China 8 400 1.0× 239 1.0× 83 0.8× 60 0.6× 75 0.7× 14 522
Hongna Tan China 14 432 1.0× 188 0.8× 103 0.9× 82 0.8× 78 0.8× 29 688
Rushuang Mao China 7 415 1.0× 237 1.0× 85 0.8× 63 0.6× 93 0.9× 12 521
Shufang Pei China 12 833 2.0× 229 1.0× 212 1.9× 134 1.3× 137 1.4× 23 1.0k
Renée W. Y. Granzier Netherlands 13 574 1.4× 165 0.7× 154 1.4× 102 1.0× 169 1.7× 19 765
Isabel Schobert Germany 9 410 1.0× 167 0.7× 99 0.9× 127 1.2× 98 1.0× 18 694
Jose Net United States 10 743 1.8× 290 1.3× 143 1.3× 146 1.4× 96 1.0× 26 870

Countries citing papers authored by Xueyi Zheng

Since Specialization
Citations

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

Fields of papers citing papers by Xueyi Zheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xueyi Zheng

This figure shows the co-authorship network connecting the top 25 collaborators of Xueyi Zheng. A scholar is included among the top collaborators of Xueyi 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 Xueyi Zheng. Xueyi Zheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Yin, Yixin, Jinlong Lin, Run‐Cong Nie, et al.. (2025). Phase separation of ERCC6L2–CtIP regulates the extent of DNA end resection. Nature Cell Biology. 27(10). 1771–1784.
2.
Duan, Jin‐Ling, Ruixuan Wang, Xueyi Zheng, et al.. (2024). Deep learning model with pathological knowledge for detection of colorectal neuroendocrine tumor. Cell Reports Medicine. 5(10). 101785–101785. 3 indexed citations
3.
Zhang, Xinke, Zihan Zhao, Ruixuan Wang, et al.. (2024). A multicenter proof-of-concept study on deep learning-based intraoperative discrimination of primary central nervous system lymphoma. Nature Communications. 15(1). 3768–3768. 9 indexed citations
4.
Zhang, Hao, Xueyi Zheng, & Seok‐Bum Ko. (2023). High Performance and Energy Efficient Floating-Point Multiplier on FPGA. 178–182.
5.
Lu, Lianghe, Zhangping He, Run‐Cong Nie, et al.. (2022). C-Reactive Protein Levels Predict Responses to PD-1 Inhibitors in Hepatocellular Carcinoma Patients. Frontiers in Immunology. 13. 808101–808101. 29 indexed citations
6.
7.
Zheng, Xueyi, Yuhua Huang, Kai Li, et al.. (2022). Immunosuppressive Tumor Microenvironment and Immunotherapy of Epstein–Barr Virus-Associated Malignancies. Viruses. 14(5). 1017–1017. 26 indexed citations
8.
Zheng, Xueyi, Yao Zhao, Yini Huang, et al.. (2021). Author Correction: Deep learning radiomics can predict axillary lymph node status in early-stage breast cancer. Nature Communications. 12(1). 4370–4370. 13 indexed citations
9.
Huang, Yini, Yubo Liu, Yun Wang, et al.. (2021). Quantitative analysis of shear wave elastic heterogeneity for prediction of lymphovascular invasion in breast cancer. British Journal of Radiology. 94(1127). 20210682–20210682. 8 indexed citations
10.
Zheng, Xueyi, Yao Zhao, Yini Huang, et al.. (2020). Deep learning radiomics can predict axillary lymph node status in early-stage breast cancer. Nature Communications. 11(1). 1236–1236. 402 indexed citations breakdown →
11.
Wang, Yun, Yubo Liu, Xueyi Zheng, et al.. (2019). Added Value of Different Types of Elastography in Evaluating Ultrasonography Detected Breast Lesions: A Compared Study With Mammography. Clinical Breast Cancer. 20(3). e366–e372. 5 indexed citations
12.
13.
14.
Zheng, Xueyi, Yini Huang, Yubo Liu, et al.. (2019). Shear-Wave Elastography of the Breast: Added Value of a Quality Map in Diagnosis and Prediction of the Biological Characteristics of Breast Cancer. Korean Journal of Radiology. 21(2). 172–172. 22 indexed citations
15.
Zheng, Xueyi, Yini Huang, Yun Wang, et al.. (2018). Combination of different types of elastography in downgrading ultrasound Breast Imaging-Reporting and Data System category 4a breast lesions. Breast Cancer Research and Treatment. 174(2). 423–432. 21 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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