Yinsheng Chen
- Radiology, Nuclear Medicine and Imaging top 1%
- Genetics top 2%
- Pulmonary and Respiratory Medicine top 10%
- Biomedical Engineering
- Artificial Intelligence top 5%
- Topics
- Glioma Diagnosis and Treatment (34 papers)Radiomics and Machine Learning in Medical Imaging (23 papers)Brain Tumor Detection and Classification (6 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yinsheng Chen
50 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Radiology, Nuclear Medicine and Imaging 1.1k
- Genetics 533
- Pulmonary and Respiratory Medicine 291
- Biomedical Engineering 234
- Artificial Intelligence 208
Countries citing papers authored by Yinsheng Chen
This map shows the geographic impact of Yinsheng 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 Yinsheng Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yinsheng Chen more than expected).
Fields of papers citing papers by Yinsheng Chen
This network shows the impact of papers produced by Yinsheng 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 Yinsheng Chen. The network helps show where Yinsheng Chen may publish in the future.
Co-authorship network of co-authors of Yinsheng Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Yinsheng Chen. A scholar is included among the top collaborators of Yinsheng Chen 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 Yinsheng Chen. Yinsheng Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 23 | |
| 5 | 17 | |
| 6 | 88 | |
| 7 | 6 | |
| 8 | 15 | |
| 9 | 7 | |
| 10 | 21 | |
| 11 | 36 | |
| 12 | 3 | |
| 13 | 31 | |
| 14 | 4 | |
| 15 | 14 | |
| 16 | A Deep Learning-Based Radiomics Model for Prediction of Survival in Glioblastoma Multiformebreakdown → | 461 |
| 17 | 105 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | Study of Degradation of p-Chlorophenol in Aqueous Solution with Pulsed Corona Discharge Plasma | 1 |
About Yinsheng Chen
Yinsheng Chen is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 53 papers that have together received 1.6k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (34 papers), Radiomics and Machine Learning in Medical Imaging (23 papers) and Brain Tumor Detection and Classification (6 papers). The work is most often cited by research in Genetics (533 citations), Radiology, Nuclear Medicine and Imaging (1.1k citations) and Health Informatics (52 citations). Yinsheng Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zhicheng Li, Qihua Li, Ji Zhang, Jing Liu, Jiangwei Lao, Guangtao Zhai, Qiuchang Sun, Chaofeng Liang, Hongmin Bai and Hairong Zheng. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and The Journal of Clinical Endocrinology & Metabolism.
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.