Wei Zhao
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Infectious Diseases top 0.5%
- Pulmonary and Respiratory Medicine top 2%
- Neurology top 2%
- Artificial Intelligence top 2%
- Topics
- Radiomics and Machine Learning in Medical Imaging (39 papers)Lung Cancer Diagnosis and Treatment (28 papers)COVID-19 Clinical Research Studies (19 papers)
- Journals
- Nature GeneticsSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Wei Zhao
141 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 167
- Radiology, Nuclear Medicine and Imaging 2.6k
- Infectious Diseases 1.6k
- Pulmonary and Respiratory Medicine 1.1k
- Neurology 714
- Artificial Intelligence 617
Countries citing papers authored by Wei Zhao
This map shows the geographic impact of Wei Zhao'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 Wei Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Zhao more than expected).
Fields of papers citing papers by Wei Zhao
This network shows the impact of papers produced by Wei Zhao. 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 Wei Zhao. The network helps show where Wei Zhao may publish in the future.
Co-authorship network of co-authors of Wei Zhao
This figure shows the co-authorship network connecting the top 25 collaborators of Wei Zhao. A scholar is included among the top collaborators of Wei Zhao 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 Wei Zhao. Wei Zhao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 16 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 13 | |
| 6 | 13 | |
| 7 | 4 | |
| 8 | 6 | |
| 9 | 31 | |
| 10 | 11 | |
| 11 | 2 | |
| 12 | Dynamic Changes of Liver Function Indexes in Patients with Different Clinical Types of COVID-19 | 4 |
| 13 | 17 | |
| 14 | 13 | |
| 15 | 63 | |
| 16 | Chest CT for Typical Coronavirus Disease 2019 (COVID-19) Pneumonia: Relationship to Negative RT-PCR Testingbreakdown → | 1388 |
| 17 | 2 | |
| 18 | 1 | |
| 19 | Three-dimensional power Doppler imaging diagnosis of endometrial polyps | 1 |
| 20 | 2 |
About Wei Zhao
Wei Zhao is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Infectious Diseases, having authored 154 papers that have together received 4.9k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (39 papers), Lung Cancer Diagnosis and Treatment (28 papers) and COVID-19 Clinical Research Studies (19 papers). The work is most often cited by research in Health Informatics (174 citations), Radiology, Nuclear Medicine and Imaging (2.6k citations) and Infectious Diseases (1.6k citations). Wei Zhao has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jun Liu, Xingzhi Xie, Chao Zheng, Qizhi Yu, Ming Li, Yingli Sun, Liang Jin, Ke Wang, Jun Duan and Weiwei Shu. Their work appears in journals such as Nature Genetics, SHILAP Revista de lepidopterología and PLoS ONE.
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.