Zaiyi Liu
Impact in
-
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- COVID-19 diagnosis using AI
- Health Informatics top 1%
Papers in
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- Radiomics and Machine Learning in Medical Imaging 88
- MRI in cancer diagnosis 24
- COVID-19 diagnosis using AI 12
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- AI in cancer detection 44
- Co-authors
- Changhong Liang (93 shared papers)Yanqi Huang (37 shared papers)Jie Tian (22 shared papers)Zelan Ma (12 shared papers)Cuishan Liang (12 shared papers)Lan He (14 shared papers)Xin Chen (14 shared papers)Di Dong (20 shared papers)
- Journals
- Academic Radiology (12 papers)European Radiology (11 papers)Journal of Magnetic Resonance Imaging (10 papers)European Journal of Radiology (8 papers)Medical Image Analysis (7 papers)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Zaiyi Liu
245 papers receiving 8.8k citations
Zaiyi Liu's Hit Papers
Peers
Comparison fields: 5 of 143
- Radiology, Nuclear Medicine and Imaging 4.3k
- Health Informatics 127
- Hepatology 501
- Pulmonary and Respiratory Medicine 1.6k
- Artificial Intelligence 1.5k
Countries citing papers authored by Zaiyi Liu
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
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-authors
The 25 scholars most cited alongside Zaiyi Liu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 258 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Development and Validation of a Radiomics Nomogram for Preoperative Prediction of Lymph Node Metastasis in Colorectal Cancer Hit paper breakdown → | 2016 | 1384 |
| 2 | Radiomics Signature: A Potential Biomarker for the Prediction of Disease-Free Survival in Early-Stage (I or II) Non—Small Cell Lung Cancer Hit paper breakdown → | 2016 | 605 |
| 3 | Central focused convolutional neural networks: Developing a data-driven model for lung nodule segmentation Hit paper breakdown → | 2017 | 381 |
| 4 | Radiomics of Multiparametric MRI for Pretreatment Prediction of Pathologic Complete Response to Neoadjuvant Chemotherapy in Breast Cancer: A Multicenter Study Hit paper breakdown → | 2019 | 370 |
| 5 | Deep learning radiomic nomogram can predict the number of lymph node metastasis in locally advanced gastric cancer: an international multicenter study Hit paper breakdown → | 2020 | 306 |
| 6 | 2016 | 207 | |
| 7 | 2017 | 185 | |
| 8 | 2013 | 174 | |
| 9 | 2018 | 155 | |
| 10 | 2019 | 121 | |
| 11 | 2018 | 121 | |
| 12 | 2017 | 115 | |
| 13 | 2020 | 110 | |
| 14 | 2020 | 110 | |
| 15 | 2016 | 102 | |
| 16 | 2019 | 100 | |
| 17 | 2017 | 97 | |
| 18 | 2020 | 97 | |
| 19 | 2022 | 89 | |
| 20 | 2018 | 87 |
About Zaiyi Liu
Zaiyi Liu is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Pulmonary and Respiratory Medicine, Oncology and Computer Vision and Pattern Recognition, having authored 258 papers that have together received 8.9k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (88 papers), AI in cancer detection (44 papers), MRI in cancer diagnosis (24 papers), Lung Cancer Diagnosis and Treatment (15 papers), Hepatocellular Carcinoma Treatment and Prognosis (13 papers), Breast Cancer Treatment Studies (12 papers), Gastric Cancer Management and Outcomes (12 papers) and COVID-19 diagnosis using AI (12 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (4.3k citations), Health Informatics (127 citations), Hepatology (501 citations), Pulmonary and Respiratory Medicine (1.6k citations) and Artificial Intelligence (1.5k citations). Zaiyi Liu has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Changhong Liang, Yanqi Huang, Jie Tian, Zelan Ma, Cuishan Liang, Lan He, Xin Chen, Di Dong, Xin Chen and Dan Pan. Their work appears in journals such as Academic Radiology, European Radiology, Journal of Magnetic Resonance Imaging, European Journal of Radiology and Medical Image Analysis.
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.