Zeyan Xu

1.4k total citations · 2 hit papers
42 papers, 758 citations indexed

About

Zeyan Xu is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Oncology. According to data from OpenAlex, Zeyan Xu has authored 42 papers receiving a total of 758 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Radiology, Nuclear Medicine and Imaging, 16 papers in Artificial Intelligence and 14 papers in Oncology. Recurrent topics in Zeyan Xu's work include Radiomics and Machine Learning in Medical Imaging (20 papers), AI in cancer detection (16 papers) and MRI in cancer diagnosis (9 papers). Zeyan Xu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (20 papers), AI in cancer detection (16 papers) and MRI in cancer diagnosis (9 papers). Zeyan Xu collaborates with scholars based in China, Hong Kong and Netherlands. Zeyan Xu's co-authors include Zaiyi Liu, Chu Han, Zhenwei Shi, Huan Lin, Changhong Liang, Xipeng Pan, Zhenhui Li, Yanfen Cui, Xiaomei Huang and Ke Zhao and has published in prestigious journals such as Nature Communications, Scientific Reports and Radiology.

In The Last Decade

Zeyan Xu

39 papers receiving 746 citations

Hit Papers

MRI-based Quantification of Intratumoral Heterogeneity fo... 2023 2026 2024 2025 2023 2023 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zeyan Xu China 13 440 301 180 149 109 42 758
Abhishek Midya United States 15 441 1.0× 249 0.8× 178 1.0× 162 1.1× 58 0.5× 37 683
Goshi Oda Japan 15 504 1.1× 376 1.2× 95 0.5× 69 0.5× 49 0.4× 63 796
Huangjing Lin Hong Kong 11 468 1.1× 560 1.9× 102 0.6× 280 1.9× 43 0.4× 20 805
José E. Velázquez Vega United States 7 414 0.9× 403 1.3× 120 0.7× 77 0.5× 84 0.8× 15 821
Fahdi Kanavati Japan 11 504 1.1× 500 1.7× 218 1.2× 122 0.8× 26 0.2× 20 794
Pooya Mobadersany United States 5 420 1.0× 432 1.4× 105 0.6× 94 0.6× 50 0.5× 9 716
Nikolas Stathonikos Netherlands 14 328 0.7× 508 1.7× 124 0.7× 163 1.1× 31 0.3× 32 687
Maschenka Balkenhol Netherlands 13 530 1.2× 685 2.3× 151 0.8× 298 2.0× 42 0.4× 21 906
Norman Zerbe Germany 12 314 0.7× 501 1.7× 118 0.7× 194 1.3× 29 0.3× 34 780

Countries citing papers authored by Zeyan Xu

Since Specialization
Citations

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

Fields of papers citing papers by Zeyan Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zeyan Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Zeyan Xu. A scholar is included among the top collaborators of Zeyan Xu 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 Zeyan Xu. Zeyan Xu 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.
Xu, Zeyan, et al.. (2025). Bounding boxes for weakly-supervised breast cancer segmentation in DCE-MRI. Biomedical Signal Processing and Control. 105. 107656–107656. 3 indexed citations
2.
Yang, Qi, Yi Dai, Zeyan Xu, et al.. (2025). AI-driven MRI biomarker for triple-class HER2 expression classification in breast cancer: a large-scale multicenter study. Breast Cancer Research. 27(1). 166–166.
3.
Yi, Seong Yoon, Chunyan Li, Yu Xie, et al.. (2025). Multimodal prediction based on ultrasound for response to neoadjuvant chemotherapy in triple negative breast cancer. npj Precision Oncology. 9(1). 259–259.
4.
Xu, Zeyan, Alva B. Weir, Hong-Yu Zhou, et al.. (2024). An explainable longitudinal multi-modal fusion model for predicting neoadjuvant therapy response in women with breast cancer. Nature Communications. 15(1). 9613–9613. 24 indexed citations
5.
Fan, Sijia, Zeyan Xu, Zhen Fang, et al.. (2024). MRI radiomics and biological correlations for predicting axillary lymph node burden in early-stage breast cancer. Journal of Translational Medicine. 22(1). 826–826. 7 indexed citations
6.
Huang, Xu‐Feng, Lei Wu, Yu Liu, et al.. (2024). Development and validation of machine learning models for predicting HER2-zero and HER2-low breast cancers. British Journal of Radiology. 97(1161). 1568–1576. 1 indexed citations
8.
Zhao, Zhihe, Siyao Du, Zeyan Xu, et al.. (2024). SwinHR: Hemodynamic-powered hierarchical vision transformer for breast tumor segmentation. Computers in Biology and Medicine. 169. 107939–107939. 9 indexed citations
9.
Xu, Zeyan, Yu Xie, Yanfen Cui, et al.. (2023). Joint-phase attention network for breast cancer segmentation in DCE-MRI. Expert Systems with Applications. 224. 119962–119962. 23 indexed citations
10.
Chen, Wei, Zeyan Xu, Lu Chen, et al.. (2023). CXCL8 as a Potential Biomarker for Crohn’s Disease is Associated with Immune Infiltration and RNA Methylation. Biochemical Genetics. 61(6). 2599–2617. 2 indexed citations
11.
Ren, Lihua, et al.. (2023). LINC01116 modulates EMT process via binding with AGO1 mRNA in oesophageal squamous cell carcinoma. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1870(5). 119447–119447. 4 indexed citations
12.
Liang, Yun, Baozhen Zeng, Chao Zhu, et al.. (2022). Preoperative prediction of intra-tumoral tertiary lymphoid structures based on CT in hepatocellular cancer. European Journal of Radiology. 151. 110309–110309. 17 indexed citations
13.
Han, Chu, Jiatai Lin, Yi Wang, et al.. (2022). Multi-layer pseudo-supervision for histopathology tissue semantic segmentation using patch-level classification labels. Medical Image Analysis. 80. 102487–102487. 68 indexed citations
14.
Liu, Yu, Ying Wang, Zeyan Xu, et al.. (2022). Axillary ultrasound after neoadjuvant therapy reduces the false-negative rate of sentinel lymph node biopsy in patients with cytologically node-positive breast cancer. Breast Cancer Research and Treatment. 197(3). 515–523. 2 indexed citations
15.
Xu, Zeyan, Yingying Ding, Ke Zhao, et al.. (2022). MRI characteristics of breast edema for assessing axillary lymph node burden in early-stage breast cancer: a retrospective bicentric study. European Radiology. 32(12). 8213–8225. 20 indexed citations
16.
Wang, Yumeng, Xipeng Pan, Huan Lin, et al.. (2022). Multi-scale pathology image texture signature is a prognostic factor for resectable lung adenocarcinoma: a multi-center, retrospective study. Journal of Translational Medicine. 20(1). 595–595. 8 indexed citations
17.
Xu, Zeyan, Ke Zhao, Lujun Han, et al.. (2021). Combining quantitative and qualitative magnetic resonance imaging features to differentiate anorectal malignant melanoma from low rectal cancer. Precision Clinical Medicine. 4(2). 119–128. 1 indexed citations
18.
Xu, Zeyan, Yong Li, Yingyi Wang, et al.. (2021). A deep learning quantified stroma-immune score to predict survival of patients with stage II–III colorectal cancer. Cancer Cell International. 21(1). 585–585. 24 indexed citations
19.
Zhao, Ke, Xiaomei Wu, Zhenhui Li, et al.. (2021). Prognostic value of a modified Immunosocre in patients with stage I−III resectable colon cancer. Chinese Journal of Cancer Research. 33(3). 379–390. 7 indexed citations
20.
Yang, Jun, Dan Han, Chengde Liao, et al.. (2020). Radiation-induced impairment of optic nerve axonal transport in tree shrews and rats monitored by longitudinal manganese-enhanced MRI. NeuroToxicology. 77. 145–154. 3 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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