Peiliang Wu
- Molecular Biology
- Artificial Intelligence top 10%
- Pulmonary and Respiratory Medicine
- Radiology, Nuclear Medicine and Imaging
- Epidemiology
- Co-authors
- Liangxing WangMayun ChenXiaoying HuangHuiling ChenAli Asghar HeidariHua YeYanfan ChenDan Yao
- Topics
- COVID-19 diagnosis using AI (7 papers)Machine Learning and ELM (4 papers)Pulmonary Hypertension Research and Treatments (4 papers)
In The Last Decade
Peiliang Wu
30 papers receiving 683 citations
Peers
Comparison fields: 5 of 129
- Molecular Biology 169
- Artificial Intelligence 157
- Pulmonary and Respiratory Medicine 155
- Radiology, Nuclear Medicine and Imaging 85
- Epidemiology 64
Countries citing papers authored by Peiliang Wu
This map shows the geographic impact of Peiliang Wu'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 Peiliang Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peiliang Wu more than expected).
Fields of papers citing papers by Peiliang Wu
This network shows the impact of papers produced by Peiliang Wu. 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 Peiliang Wu. The network helps show where Peiliang Wu may publish in the future.
Co-authorship network of co-authors of Peiliang Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Peiliang Wu. A scholar is included among the top collaborators of Peiliang Wu 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 Peiliang Wu. Peiliang Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 12 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 5 | |
| 8 | 9 | |
| 9 | 20 | |
| 10 | 5 | |
| 11 | 10 | |
| 12 | 2 | |
| 13 | 49 | |
| 14 | 5 | |
| 15 | 7 | |
| 16 | 62 | |
| 17 | 81 | |
| 18 | 16 | |
| 19 | 66 | |
| 20 | 32 |
About Peiliang Wu
Peiliang Wu is a scholar working on Modeling and Simulation, Internal Medicine and Radiology, Nuclear Medicine and Imaging, having authored 35 papers that have together received 690 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (7 papers), Machine Learning and ELM (4 papers) and Pulmonary Hypertension Research and Treatments (4 papers). The work is most often cited by research in Health Informatics (9 citations), Artificial Intelligence (157 citations) and Pulmonary and Respiratory Medicine (155 citations). Peiliang Wu has collaborated with scholars based in China, Iran and Taiwan. Frequent co-authors include Liangxing Wang, Mayun Chen, Xiaoying Huang, Huiling Chen, Ali Asghar Heidari, Hua Ye, Yanfan Chen, Dan Yao, Xiaoying Huang and Ali Chen. Their work appears in journals such as International Journal of Molecular Sciences, IEEE Access and Life Sciences.
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.