Xiaping Chen
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- Gastroenterology top 10%
- Gastrointestinal Tumor Research and Treatment
Papers in
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- Ferroptosis and cancer prognosis 2
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- Radiomics and Machine Learning in Medical Imaging 2
- Effects of Radiation Exposure 1
- Co-authors
- Di Dong (1 shared paper)Francesco Giganti (1 shared paper)Jia Fu (1 shared paper)Lingyun Tang (1 shared paper)J. Li (1 shared paper)Francesco De Cobelli (1 shared paper)Jiafu Ji (1 shared paper)Zaiyi Liu (1 shared paper)
- Journals
- Annals of Oncology (3 papers)Abdominal Radiology (1 paper)Acta Biochimica et Biophysica Sinica (1 paper)
- Partner nations
- ChinaUnited KingdomItaly
In The Last Decade
Xiaping Chen
5 papers receiving 293 citations
Xiaping Chen's Hit Papers
Peers
Comparison fields: 5 of 42
- Radiology, Nuclear Medicine and Imaging 211
- Gastroenterology 36
- Pulmonary and Respiratory Medicine 171
- Health Informatics 6
- Otorhinolaryngology 18
Countries citing papers authored by Xiaping Chen
This map shows the geographic impact of Xiaping Chen'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 Xiaping Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaping Chen more than expected).
Fields of papers citing papers by Xiaping Chen
This network shows the impact of papers produced by Xiaping Chen. 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 Xiaping Chen. The network helps show where Xiaping Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaping Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Deep learning radiomic nomogram can predict the number of lymph node metastasis in locally advanced gastric cancer: an international multicenter study Hit paper breakdown → | 2020 | 284 |
| 2 | 2020 | 5 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 4 | |
| 5 | 2020 | 1 |
About Xiaping Chen
Xiaping Chen is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Hepatology, Surgery and Pathology and Forensic Medicine, having authored 5 papers that have together received 298 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Ferroptosis and cancer prognosis (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Pelvic and Acetabular Injuries (1 paper), PARP inhibition in cancer therapy (1 paper), Gastrointestinal Tumor Research and Treatment (1 paper), Effects of Radiation Exposure (1 paper) and Liver Disease Diagnosis and Treatment (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (211 citations), Gastroenterology (36 citations), Pulmonary and Respiratory Medicine (171 citations), Health Informatics (6 citations) and Otorhinolaryngology (18 citations). Xiaping Chen has collaborated with scholars based in China, United Kingdom and Italy. Frequent co-authors include Di Dong, Francesco Giganti, Jia Fu, Lingyun Tang, J. Li, Francesco De Cobelli, Jiafu Ji, Zaiyi Liu, Jianbo Gao and Xiuhong Shan. Their work appears in journals such as Annals of Oncology, Abdominal Radiology and Acta Biochimica et Biophysica Sinica.
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.