Shouliang Qi
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Artificial Intelligence top 1%
- Pulmonary and Respiratory Medicine top 2%
- Computer Vision and Pattern Recognition top 2%
- Cognitive Neuroscience top 5%
- Topics
- Radiomics and Machine Learning in Medical Imaging (52 papers)Lung Cancer Diagnosis and Treatment (35 papers)COVID-19 diagnosis using AI (25 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Shouliang Qi
133 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 153
- Radiology, Nuclear Medicine and Imaging 1.5k
- Artificial Intelligence 923
- Pulmonary and Respiratory Medicine 887
- Computer Vision and Pattern Recognition 487
- Cognitive Neuroscience 362
Countries citing papers authored by Shouliang Qi
This map shows the geographic impact of Shouliang Qi'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 Shouliang Qi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shouliang Qi more than expected).
Fields of papers citing papers by Shouliang Qi
This network shows the impact of papers produced by Shouliang Qi. 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 Shouliang Qi. The network helps show where Shouliang Qi may publish in the future.
Co-authorship network of co-authors of Shouliang Qi
This figure shows the co-authorship network connecting the top 25 collaborators of Shouliang Qi. A scholar is included among the top collaborators of Shouliang Qi 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 Shouliang Qi. Shouliang Qi 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 | 20 | |
| 3 | 1 | |
| 4 | 10 | |
| 5 | 0 | |
| 6 | 18 | |
| 7 | 16 | |
| 8 | 10 | |
| 9 | 15 | |
| 10 | 9 | |
| 11 | 27 | |
| 12 | 15 | |
| 13 | 3 | |
| 14 | 35 | |
| 15 | 16 | |
| 16 | 3 | |
| 17 | 47 | |
| 18 | 9 | |
| 19 | 12 | |
| 20 | 3 |
About Shouliang Qi
Shouliang Qi is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition, having authored 151 papers that have together received 2.9k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (52 papers), Lung Cancer Diagnosis and Treatment (35 papers) and COVID-19 diagnosis using AI (25 papers). The work is most often cited by research in Health Informatics (91 citations), Radiology, Nuclear Medicine and Imaging (1.5k citations) and Artificial Intelligence (923 citations). Shouliang Qi has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Yudong Yao, Wei Qian, Chen Li, Yueyang Teng, Md Mamunur Rahaman, He Ma, Yanan Wu, Baihua Zhang, Patrice Monkam and Xin Zhao. Their work appears in journals such as PLoS ONE, Scientific Reports and International Journal of Radiation Oncology*Biology*Physics.
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.