Chuanli Chen
Impact in
- Health Informatics top 10%
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- Radiomics and Machine Learning in Medical Imaging
Papers in
-
- Gastric Cancer Management and Outcomes 14
-
- Radiomics and Machine Learning in Medical Imaging 7
- Co-authors
- Yuming Jiang (19 shared papers)Guoxin Li (18 shared papers)Qingyu Yuan (13 shared papers)Zhiwei Zhou (9 shared papers)Jiang Yu (8 shared papers)Wei Wang (5 shared papers)Zepang Sun (13 shared papers)Ruijiang Li (7 shared papers)
- Journals
- The Lancet Digital Health (2 papers)Frontiers in Oncology (2 papers)Radiotherapy and Oncology (2 papers)Nature Communications (1 paper)BMJ Open (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Chuanli Chen
20 papers receiving 757 citations
Chuanli Chen's Hit Papers
Peers
Comparison fields: 5 of 65
- Health Informatics 18
- Radiology, Nuclear Medicine and Imaging 265
- Gastroenterology 48
- Pulmonary and Respiratory Medicine 276
- Oncology 140
Countries citing papers authored by Chuanli Chen
This map shows the geographic impact of Chuanli 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 Chuanli Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chuanli Chen more than expected).
Fields of papers citing papers by Chuanli Chen
This network shows the impact of papers produced by Chuanli 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 Chuanli Chen. The network helps show where Chuanli Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Chuanli 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 | 2018 | 149 | |
| 2 | Predicting peritoneal recurrence and disease-free survival from CT images in gastric cancer with multitask deep learning: a retrospective study Hit paper breakdown → | 2022 | 112 |
| 3 | 2021 | 91 | |
| 4 | 2023 | 74 | |
| 5 | 2023 | 61 | |
| 6 | 2019 | 58 | |
| 7 | 2021 | 39 | |
| 8 | 2023 | 31 | |
| 9 | 2020 | 26 | |
| 10 | 2022 | 25 | |
| 11 | 2021 | 20 | |
| 12 | 2024 | 16 | |
| 13 | 2023 | 14 | |
| 14 | 2020 | 13 | |
| 15 | 2023 | 12 | |
| 16 | 2019 | 12 | |
| 17 | 2022 | 8 | |
| 18 | 2018 | 6 | |
| 19 | 2023 | 3 | |
| 20 | 2018 | 1 |
About Chuanli Chen
Chuanli Chen is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Surgery, Oncology and Cancer Research, having authored 20 papers that have together received 771 indexed citations. Recurring topics across this work include Gastric Cancer Management and Outcomes (14 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Cancer Genomics and Diagnostics (2 papers), Helicobacter pylori-related gastroenterology studies (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), DNA Repair Mechanisms (1 paper), High Altitude and Hypoxia (1 paper) and Advanced X-ray and CT Imaging (1 paper). The work is most often cited by research in Health Informatics (18 citations), Radiology, Nuclear Medicine and Imaging (265 citations), Gastroenterology (48 citations), Pulmonary and Respiratory Medicine (276 citations) and Oncology (140 citations). Chuanli Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yuming Jiang, Guoxin Li, Qingyu Yuan, Zhiwei Zhou, Jiang Yu, Wei Wang, Zepang Sun, Ruijiang Li, Yanfeng Hu and Jingjing Xie. Their work appears in journals such as The Lancet Digital Health, Frontiers in Oncology, Radiotherapy and Oncology, Nature Communications and BMJ Open.
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.