Yiqiu Shen
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
-
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
-
- AI in cancer detection 5
- Topic Modeling 2
- Domain Adaptation and Few-Shot Learning 1
-
- Radiomics and Machine Learning in Medical Imaging 7
- Co-authors
- Krzysztof J. Geras (7 shared papers)Kyunghyun Cho (5 shared papers)Kangning Liu (4 shared papers)Nan Wu (5 shared papers)Linda Moy (4 shared papers)Carlos Fernandez‐Granda (3 shared papers)Bofei Zhang (1 shared paper)James S. Babb (1 shared paper)
- Journals
- Abdominal Radiology (2 papers)Journal of Digital Imaging (1 paper)Medical Image Analysis (1 paper)Journal of Cellular Physiology (1 paper)Radiology (1 paper)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Yiqiu Shen
13 papers receiving 561 citations
Peers
Comparison fields: 5 of 89
- Health Informatics 37
- Radiology, Nuclear Medicine and Imaging 169
- Artificial Intelligence 232
- Health, Toxicology and Mutagenesis 86
- Pollution 60
Countries citing papers authored by Yiqiu Shen
This map shows the geographic impact of Yiqiu Shen'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 Yiqiu Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yiqiu Shen more than expected).
Fields of papers citing papers by Yiqiu Shen
This network shows the impact of papers produced by Yiqiu Shen. 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 Yiqiu Shen. The network helps show where Yiqiu Shen may publish in the future.
Co-authors
The 25 scholars most cited alongside Yiqiu Shen, 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 | 2020 | 157 | |
| 2 | 2020 | 123 | |
| 3 | 2019 | 95 | |
| 4 | 2022 | 73 | |
| 5 | 2018 | 54 | |
| 6 | 2023 | 19 | |
| 7 | 2024 | 13 | |
| 8 | 2019 | 11 | |
| 9 | 2018 | 10 | |
| 10 | 2021 | 7 | |
| 11 | 2021 | 6 | |
| 12 | 2024 | 2 | |
| 13 | 2024 | 1 |
About Yiqiu Shen
Yiqiu Shen is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Oncology, Computer Vision and Pattern Recognition and Molecular Biology, having authored 13 papers that have together received 571 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (7 papers), AI in cancer detection (5 papers), Colorectal Cancer Screening and Detection (3 papers), Topic Modeling (2 papers), Image Retrieval and Classification Techniques (2 papers), Domain Adaptation and Few-Shot Learning (1 paper), Pancreatic and Hepatic Oncology Research (1 paper) and Osteoarthritis Treatment and Mechanisms (1 paper). The work is most often cited by research in Health Informatics (37 citations), Radiology, Nuclear Medicine and Imaging (169 citations), Artificial Intelligence (232 citations), Health, Toxicology and Mutagenesis (86 citations) and Pollution (60 citations). Yiqiu Shen has collaborated with scholars based in United States, China and France. Frequent co-authors include Krzysztof J. Geras, Kyunghyun Cho, Kangning Liu, Nan Wu, Linda Moy, Carlos Fernandez‐Granda, Bofei Zhang, James S. Babb, Jimin Tan and Cem M. Deniz. Their work appears in journals such as Abdominal Radiology, Journal of Digital Imaging, Medical Image Analysis, Journal of Cellular Physiology 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.