Zhenyu Liu
Impact in
-
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
- Health Informatics top 0.5%
Papers in
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- Radiomics and Machine Learning in Medical Imaging 51
- Co-authors
- Jie Tian (102 shared papers)Di Dong (20 shared papers)Kai Sun (21 shared papers)Meiyun Wang (8 shared papers)Yongbo Deng (19 shared papers)Zhenchao Tang (20 shared papers)Xuezhi Zhou (15 shared papers)Yihui Wu (13 shared papers)
- Journals
- European Journal of Radiology (7 papers)European Radiology (7 papers)Frontiers in Oncology (6 papers)PLoS ONE (5 papers)EBioMedicine (5 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Zhenyu Liu
337 papers receiving 9.7k citations
Zhenyu Liu's Hit Papers
Peers
Comparison fields: 5 of 191
- Radiology, Nuclear Medicine and Imaging 3.2k
- Health Informatics 154
- Obstetrics and Gynecology 311
- Pulmonary and Respiratory Medicine 1.2k
- Complementary and alternative medicine 319
Countries citing papers authored by Zhenyu Liu
This map shows the geographic impact of Zhenyu 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 Zhenyu Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhenyu Liu more than expected).
Fields of papers citing papers by Zhenyu Liu
This network shows the impact of papers produced by Zhenyu 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 Zhenyu Liu. The network helps show where Zhenyu Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhenyu 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 366 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Applications of Radiomics in Precision Diagnosis and Treatment of Oncology: Opportunities and Challenges Hit paper breakdown → | 2019 | 690 |
| 2 | Radiomics Analysis for Evaluation of Pathological Complete Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer Hit paper breakdown → | 2017 | 429 |
| 3 | Central focused convolutional neural networks: Developing a data-driven model for lung nodule segmentation Hit paper breakdown → | 2017 | 359 |
| 4 | Predicting EGFR mutation status in lung adenocarcinoma on computed tomography image using deep learning Hit paper breakdown → | 2019 | 321 |
| 5 | 2005 | 260 | |
| 6 | 2020 | 247 | |
| 7 | 2018 | 189 | |
| 8 | 2018 | 168 | |
| 9 | 2019 | 155 | |
| 10 | 2018 | 151 | |
| 11 | 2011 | 149 | |
| 12 | 2022 | 130 | |
| 13 | 2017 | 125 | |
| 14 | 2018 | 122 | |
| 15 | 2008 | 121 | |
| 16 | 2020 | 115 | |
| 17 | 2021 | 113 | |
| 18 | 2019 | 110 | |
| 19 | 2012 | 105 | |
| 20 | 2010 | 97 |
About Zhenyu Liu
Zhenyu Liu is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Pulmonary and Respiratory Medicine, Artificial Intelligence and Surgery, having authored 366 papers that have together received 9.9k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (51 papers), Topology Optimization in Engineering (20 papers), Acupuncture Treatment Research Studies (15 papers), AI in cancer detection (14 papers), Video Coding and Compression Technologies (12 papers), Functional Brain Connectivity Studies (9 papers), Glioma Diagnosis and Treatment (9 papers) and Composite Structure Analysis and Optimization (9 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (3.2k citations), Health Informatics (154 citations), Obstetrics and Gynecology (311 citations), Pulmonary and Respiratory Medicine (1.2k citations) and Complementary and alternative medicine (319 citations). Zhenyu Liu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Jie Tian, Di Dong, Kai Sun, Meiyun Wang, Yongbo Deng, Zhenchao Tang, Xuezhi Zhou, Yihui Wu, Yali Zang and Jingwei Wei. Their work appears in journals such as European Journal of Radiology, European Radiology, Frontiers in Oncology, PLoS ONE and EBioMedicine.
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.