Zaiyi Liu

477 total citations
19 papers, 321 citations indexed

About

Zaiyi Liu is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Artificial Intelligence. According to data from OpenAlex, Zaiyi Liu has authored 19 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Oncology and 6 papers in Artificial Intelligence. Recurrent topics in Zaiyi Liu's work include Radiomics and Machine Learning in Medical Imaging (12 papers), AI in cancer detection (6 papers) and Colorectal Cancer Treatments and Studies (3 papers). Zaiyi Liu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (12 papers), AI in cancer detection (6 papers) and Colorectal Cancer Treatments and Studies (3 papers). Zaiyi Liu collaborates with scholars based in China, United States and Netherlands. Zaiyi Liu's co-authors include Yanqi Huang, Changhong Liang, Zelan Ma, Xin Chen, Jie Tian, Di Dong, Cuishan Liang, Lan He, Guangyi Wang and Lifen Yan and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Cancer Research.

In The Last Decade

Zaiyi Liu

15 papers receiving 319 citations

Peers

Zaiyi Liu
Sebastian Marschner Germany
Joshua M. Rathmell United States
Maria Luisa Belli Italy
D J Manton United Kingdom
Michael J. McLane United States
Aaron O. Bungum United States
Katie L. Allen United States
Aneela Afzal United States
Danny Lee United States
Naama Lev‐Cohain Israel
Sebastian Marschner Germany
Zaiyi Liu
Citations per year, relative to Zaiyi Liu Zaiyi Liu (= 1×) peers Sebastian Marschner

Countries citing papers authored by Zaiyi Liu

Since Specialization
Citations

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

Fields of papers citing papers by Zaiyi Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zaiyi Liu

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

All Works

19 of 19 papers shown
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2.
Qiu, Bingjiang, Shunli Liu, Cheng Lu, et al.. (2025). Multitask Deep Learning Based on Longitudinal CT Images Facilitates Prediction of Lymph Node Metastasis and Survival in Chemotherapy-Treated Gastric Cancer. Cancer Research. 85(13). 2527–2536. 2 indexed citations
3.
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.
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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.
6.
Lin, Huan, Yumeng Wang, Mingwei Chen, et al.. (2025). Prognostic and predictive values of a multimodal nomogram incorporating tumor and peritumor morphology with immune status in resectable lung adenocarcinoma. Journal for ImmunoTherapy of Cancer. 13(3). e010723–e010723. 5 indexed citations
7.
Ye, Huifen, Jing Yang, Su Yao, et al.. (2025). AutoLDP: An accurate and efficient artificial intelligence-based tool for automatic labeling of digital pathology. SHILAP Revista de lepidopterología. 2(1). 100060–100060.
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Cheng, Yuan, Xiuming Zhang, Lei Hu, et al.. (2024). BEEx Is an Open-Source Tool That Evaluates Batch Effects in Medical Images to Enable Multicenter Studies. Cancer Research. 85(2). 218–230. 1 indexed citations
10.
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
11.
Ye, Huifen, Su Yao, Xinjuan Fan, et al.. (2024). Comparative analysis of tertiary lymphoid structures for predicting survival of colorectal cancer: a whole-slide images-based study. Precision Clinical Medicine. 7(4). 6 indexed citations
12.
Ye, Huifen, Yi‐Ting Wang, Tong Tong, et al.. (2023). Automated assessment of necrosis tumor ratio in colorectal cancer using an artificial intelligence‐based digital pathology analysis. SHILAP Revista de lepidopterología. 1(1). 30–43. 10 indexed citations
13.
Li, Suyun, Zhenhui Li, Xiaobo Chen, et al.. (2023). CT morphological features for predicting the risk of lymph node metastasis in T1 colorectal cancer. European Radiology. 33(10). 6861–6871. 5 indexed citations
14.
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
15.
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
16.
Hu, Shan, et al.. (2019). The application and progress of texture analysis and radiomics in nonneoplastic lesion. Zhonghua fangshexian yixue zazhi. 53(6). 526–529. 1 indexed citations
17.
Liang, Cuishan, Yanqi Huang, Lan He, et al.. (2016). The development and validation of a CT-based radiomics signature for the preoperative discrimination of stage I-II and stage III-IV colorectal cancer. Oncotarget. 7(21). 31401–31412. 139 indexed citations
18.
Yan, Lifen, et al.. (2015). Angiomyolipoma with Minimal Fat. Academic Radiology. 22(9). 1115–1121. 85 indexed citations
19.
Liu, Zaiyi, Tetsuro Araki, Yuka Okajima, Mitchell S. Albert, & Hiroto Hatabu. (2014). Pulmonary hyperpolarized noble gas MRI: Recent advances and perspectives in clinical application. European Journal of Radiology. 83(7). 1282–1291. 33 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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