Chong-Ke Zhao
- Biomedical Engineering top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Molecular Biology
- Artificial Intelligence top 10%
- Pulmonary and Respiratory Medicine
- Topics
- Radiomics and Machine Learning in Medical Imaging (12 papers)Hepatocellular Carcinoma Treatment and Prognosis (7 papers)AI in cancer detection (7 papers)
In The Last Decade
Chong-Ke Zhao
38 papers receiving 742 citations
Peers
Comparison fields: 5 of 108
- Biomedical Engineering 313
- Radiology, Nuclear Medicine and Imaging 224
- Molecular Biology 142
- Artificial Intelligence 98
- Pulmonary and Respiratory Medicine 94
Countries citing papers authored by Chong-Ke Zhao
This map shows the geographic impact of Chong-Ke 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 Chong-Ke Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chong-Ke Zhao more than expected).
Fields of papers citing papers by Chong-Ke Zhao
This network shows the impact of papers produced by Chong-Ke 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 Chong-Ke Zhao. The network helps show where Chong-Ke Zhao may publish in the future.
Co-authorship network of co-authors of Chong-Ke Zhao
This figure shows the co-authorship network connecting the top 25 collaborators of Chong-Ke Zhao. A scholar is included among the top collaborators of Chong-Ke 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 Chong-Ke Zhao. Chong-Ke 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 | 3 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 11 | |
| 8 | 2 | |
| 9 | 20 | |
| 10 | 12 | |
| 11 | 6 | |
| 12 | 2 | |
| 13 | 12 | |
| 14 | 14 | |
| 15 | 61 | |
| 16 | 47 | |
| 17 | 44 | |
| 18 | 18 | |
| 19 | 10 | |
| 20 | 34 |
About Chong-Ke Zhao
Chong-Ke Zhao is a scholar working on Radiology, Nuclear Medicine and Imaging, Hepatology and Health Informatics, having authored 42 papers that have together received 748 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (12 papers), Hepatocellular Carcinoma Treatment and Prognosis (7 papers) and AI in cancer detection (7 papers). The work is most often cited by research in Health Informatics (27 citations), Hepatology (91 citations) and Radiology, Nuclear Medicine and Imaging (224 citations). Chong-Ke Zhao has collaborated with scholars based in China, Sweden and Germany. Frequent co-authors include Hui‐Xiong Xu, Liping Sun, Le‐Hang Guo, Kun Zhang, Yu Chen, Hongyan Li, Yifei Yin, Guang Xu, Haohao Yin and Yan Zhang. Their work appears in journals such as Nature Communications, Advanced Functional Materials and Scientific Reports.
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.