Liyuan Chen
- Radiology, Nuclear Medicine and Imaging top 2%
- Radiation top 2%
- Biomedical Engineering top 10%
- Pulmonary and Respiratory Medicine top 10%
- Artificial Intelligence top 5%
- Co-authors
- Jing WangChenyang ShenSteve JiangXun JiaXiao LiangYesenia GonzalezZhiguo ZhouDavid J. Sher
- Topics
- Radiomics and Machine Learning in Medical Imaging (21 papers)Advanced Radiotherapy Techniques (17 papers)Medical Imaging Techniques and Applications (16 papers)
- Journals
- Journal of Biological ChemistryJNCI Journal of the National Cancer InstituteClinical Cancer Research
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Liyuan Chen
79 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 123
- Radiology, Nuclear Medicine and Imaging 833
- Radiation 423
- Biomedical Engineering 376
- Pulmonary and Respiratory Medicine 321
- Artificial Intelligence 266
Countries citing papers authored by Liyuan Chen
This map shows the geographic impact of Liyuan 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 Liyuan Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liyuan Chen more than expected).
Fields of papers citing papers by Liyuan Chen
This network shows the impact of papers produced by Liyuan 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 Liyuan Chen. The network helps show where Liyuan Chen may publish in the future.
Co-authorship network of co-authors of Liyuan Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Liyuan Chen. A scholar is included among the top collaborators of Liyuan 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 Liyuan Chen. Liyuan 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 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 9 | |
| 7 | 7 | |
| 8 | 13 | |
| 9 | 1 | |
| 10 | 13 | |
| 11 | 4 | |
| 12 | 1 | |
| 13 | 17 | |
| 14 | 61 | |
| 15 | 83 | |
| 16 | 34 | |
| 17 | 6 | |
| 18 | 9 | |
| 19 | FRBR Implementation on a Thesis Collection in National Central Library of Taiwan: A Prototype Case Study | 1 |
| 20 | 16 |
About Liyuan Chen
Liyuan Chen is a scholar working on Radiation, Otorhinolaryngology and Computational Mathematics, having authored 89 papers that have together received 1.5k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (21 papers), Advanced Radiotherapy Techniques (17 papers) and Medical Imaging Techniques and Applications (16 papers). The work is most often cited by research in Health Informatics (68 citations), Radiation (423 citations) and Radiology, Nuclear Medicine and Imaging (833 citations). Liyuan Chen has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Jing Wang, Chenyang Shen, Steve Jiang, Xun Jia, Xiao Liang, Yesenia Gonzalez, Zhiguo Zhou, David J. Sher, Dan Nguyen and Qiongwen Zhang. Their work appears in journals such as Journal of Biological Chemistry, JNCI Journal of the National Cancer Institute and Clinical Cancer Research.
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.