Cuishan Liang
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Pulmonary and Respiratory Medicine top 2%
- Oncology top 5%
- Biomedical Engineering top 5%
- Surgery top 10%
- Co-authors
- Zelan MaYanqi HuangChanghong LiangZaiyi LiuLan HeJie TianXin ChenDan Pan
- Topics
- Radiomics and Machine Learning in Medical Imaging (13 papers)MRI in cancer diagnosis (5 papers)Colorectal Cancer Surgical Treatments (5 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingHealth InformaticsPulmonary and Respiratory Medicine
- Partner nations
- ChinaUnited States
In The Last Decade
Cuishan Liang
14 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Radiology, Nuclear Medicine and Imaging 2.2k
- Pulmonary and Respiratory Medicine 1.0k
- Oncology 755
- Biomedical Engineering 610
- Surgery 400
Countries citing papers authored by Cuishan Liang
This map shows the geographic impact of Cuishan Liang'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 Cuishan Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cuishan Liang more than expected).
Fields of papers citing papers by Cuishan Liang
This network shows the impact of papers produced by Cuishan Liang. 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 Cuishan Liang. The network helps show where Cuishan Liang may publish in the future.
Co-authorship network of co-authors of Cuishan Liang
This figure shows the co-authorship network connecting the top 25 collaborators of Cuishan Liang. A scholar is included among the top collaborators of Cuishan Liang 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 Cuishan Liang. Cuishan Liang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 41 | |
| 2 | 1 | |
| 3 | 50 | |
| 4 | 82 | |
| 5 | 55 | |
| 6 | 3 | |
| 7 | 95 | |
| 8 | Development and Validation of a Radiomics Nomogram for Preoperative Prediction of Lymph Node Metastasis in Colorectal Cancerbreakdown → | 1347 |
| 9 | 41 | |
| 10 | 201 | |
| 11 | Radiomics Signature: A Potential Biomarker for the Prediction of Disease-Free Survival in Early-Stage (I or II) Non—Small Cell Lung Cancerbreakdown → | 582 |
| 12 | 9 | |
| 13 | 139 | |
| 14 | 21 |
About Cuishan Liang
Cuishan Liang is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Hepatology, having authored 14 papers that have together received 2.7k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (13 papers), MRI in cancer diagnosis (5 papers) and Colorectal Cancer Surgical Treatments (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (2.2k citations), Health Informatics (48 citations) and Pulmonary and Respiratory Medicine (1.0k citations). Cuishan Liang has collaborated with scholars based in China and United States. Frequent co-authors include Zelan Ma, Yanqi Huang, Changhong Liang, Zaiyi Liu, Lan He, Jie Tian, Xin Chen, Dan Pan, Xin Chen and Lan He. Their work appears in journals such as Journal of Clinical Oncology, Scientific Reports and 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.