Wenbing Zeng
- Infectious Diseases top 2%
- Radiology, Nuclear Medicine and Imaging top 2%
- Neurology top 5%
- Oncology
- Critical Care and Intensive Care Medicine top 2%
- Topics
- COVID-19 diagnosis using AI (11 papers)Radiomics and Machine Learning in Medical Imaging (6 papers)COVID-19 Clinical Research Studies (6 papers)
- Cited by
- Infectious DiseasesCritical Care and Intensive Care MedicineRadiology, Nuclear Medicine and Imaging
- Partner nations
- ChinaUnited States
In The Last Decade
Wenbing Zeng
15 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Infectious Diseases 772
- Radiology, Nuclear Medicine and Imaging 770
- Neurology 302
- Oncology 227
- Critical Care and Intensive Care Medicine 187
Countries citing papers authored by Wenbing Zeng
This map shows the geographic impact of Wenbing Zeng'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 Wenbing Zeng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenbing Zeng more than expected).
Fields of papers citing papers by Wenbing Zeng
This network shows the impact of papers produced by Wenbing Zeng. 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 Wenbing Zeng. The network helps show where Wenbing Zeng may publish in the future.
Co-authorship network of co-authors of Wenbing Zeng
This figure shows the co-authorship network connecting the top 25 collaborators of Wenbing Zeng. A scholar is included among the top collaborators of Wenbing Zeng 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 Wenbing Zeng. Wenbing Zeng 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 | 38 | |
| 3 | 1 | |
| 4 | 21 | |
| 5 | 10 | |
| 6 | 7 | |
| 7 | 64 | |
| 8 | Chest CT Severity Score: An Imaging Tool for Assessing Severe COVID-19breakdown → | 427 |
| 9 | 128 | |
| 10 | 123 | |
| 11 | 6 | |
| 12 | Chest CT Findings in Patients With Coronavirus Disease 2019 and Its Relationship With Clinical Featuresbreakdown → | 425 |
| 13 | 3 | |
| 14 | 16 | |
| 15 | 45 |
About Wenbing Zeng
Wenbing Zeng is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Infectious Diseases, having authored 15 papers that have together received 1.3k indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (11 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and COVID-19 Clinical Research Studies (6 papers). The work is most often cited by research in Infectious Diseases (772 citations), Critical Care and Intensive Care Medicine (187 citations) and Radiology, Nuclear Medicine and Imaging (770 citations). Wenbing Zeng has collaborated with scholars based in China and United States. Frequent co-authors include Linli Chen, Fang Zheng, Dajing Guo, Ran Yang, Xiaojia Wu, Chuanming Li, Jiong Wu, Huizhe Huang, Cailiang Gao and Xianxiang Zhang. Their work appears in journals such as Physics in Medicine and Biology, IEEE Transactions on Cybernetics and European Radiology.
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.