Ge-Ge Wu
- Radiology, Nuclear Medicine and Imaging top 5%
- Artificial Intelligence top 5%
- Health Informatics top 1%
- Biomedical Engineering
- Pulmonary and Respiratory Medicine
- Co-authors
- Christoph F. DietrichXin‐Wu CuiQi WeiLiqiang ZhouYoubin DengXinglong WuHua-Rong YeLingyun Bao
- Topics
- Radiomics and Machine Learning in Medical Imaging (8 papers)AI in cancer detection (6 papers)Ultrasound Imaging and Elastography (3 papers)
- Partner nations
- ChinaSwitzerlandGermany
In The Last Decade
Ge-Ge Wu
10 papers receiving 693 citations
Peers
Comparison fields: 5 of 80
- Radiology, Nuclear Medicine and Imaging 479
- Artificial Intelligence 318
- Health Informatics 103
- Biomedical Engineering 100
- Pulmonary and Respiratory Medicine 93
Countries citing papers authored by Ge-Ge Wu
This map shows the geographic impact of Ge-Ge 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 Ge-Ge Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ge-Ge Wu more than expected).
Fields of papers citing papers by Ge-Ge Wu
This network shows the impact of papers produced by Ge-Ge 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 Ge-Ge Wu. The network helps show where Ge-Ge Wu may publish in the future.
Co-authorship network of co-authors of Ge-Ge Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Ge-Ge Wu. A scholar is included among the top collaborators of Ge-Ge 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 Ge-Ge Wu. Ge-Ge 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 | 13 | |
| 2 | 23 | |
| 3 | 56 | |
| 4 | 35 | |
| 5 | 4 | |
| 6 | 43 | |
| 7 | 27 | |
| 8 | 254 | |
| 9 | 178 | |
| 10 | 77 |
About Ge-Ge Wu
Ge-Ge Wu is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, having authored 10 papers that have together received 710 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (8 papers), AI in cancer detection (6 papers) and Ultrasound Imaging and Elastography (3 papers). The work is most often cited by research in Health Informatics (103 citations), Radiology, Nuclear Medicine and Imaging (479 citations) and Artificial Intelligence (318 citations). Ge-Ge Wu has collaborated with scholars based in China, Switzerland and Germany. Frequent co-authors include Christoph F. Dietrich, Xin‐Wu Cui, Qi Wei, Liqiang Zhou, Youbin Deng, Xinglong Wu, Hua-Rong Ye, Lingyun Bao, Shuyan Huang and Xingrui Li. Their work appears in journals such as Radiology, World Journal of Gastroenterology 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.