Cong Shen
Impact in
- Health Informatics top 10%
-
- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
Papers in
-
- Chronic Obstructive Pulmonary Disease (COPD) Research 4
- Surgery 10
- Co-authors
- Nan Yu (7 shared papers)Youmin Guo (5 shared papers)Shubo Cai (4 shared papers)Jie Zhou (3 shared papers)Heping Zhou (2 shared papers)Kang Liu (1 shared paper)Gang Niu (2 shared papers)Peng Song (4 shared papers)
- Journals
- Journal of X-Ray Science and Technology (4 papers)Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (3 papers)Frontiers in Cell and Developmental Biology (2 papers)Annals of Translational Medicine (2 papers)Oxidative Medicine and Cellular Longevity (2 papers)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Cong Shen
49 papers receiving 631 citations
Peers
Comparison fields: 5 of 103
- Health Informatics 15
- Radiology, Nuclear Medicine and Imaging 129
- Internal Medicine 15
- Cancer Research 57
- Surgery 125
Countries citing papers authored by Cong Shen
This map shows the geographic impact of Cong 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 Cong Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cong Shen more than expected).
Fields of papers citing papers by Cong Shen
This network shows the impact of papers produced by Cong 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 Cong Shen. The network helps show where Cong Shen may publish in the future.
Co-authors
The 25 scholars most cited alongside Cong 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
Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 106 | |
| 2 | 2014 | 54 | |
| 3 | 2017 | 44 | |
| 4 | 2016 | 38 | |
| 5 | 2019 | 37 | |
| 6 | 2018 | 27 | |
| 7 | 2018 | 26 | |
| 8 | 2021 | 23 | |
| 9 | 2018 | 20 | |
| 10 | 2020 | 18 | |
| 11 | 2019 | 16 | |
| 12 | 2021 | 15 | |
| 13 | 2022 | 15 | |
| 14 | 2018 | 15 | |
| 15 | 2021 | 14 | |
| 16 | 2010 | 12 | |
| 17 | 2021 | 12 | |
| 18 | 2022 | 11 | |
| 19 | 2019 | 11 | |
| 20 | 2018 | 11 |
About Cong Shen
Cong Shen is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Oncology, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 56 papers that have together received 636 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (4 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), COVID-19 diagnosis using AI (3 papers), Physiological and biochemical adaptations (3 papers), Advanced X-ray and CT Imaging (3 papers), Asthma and respiratory diseases (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). The work is most often cited by research in Health Informatics (15 citations), Radiology, Nuclear Medicine and Imaging (129 citations), Internal Medicine (15 citations), Cancer Research (57 citations) and Surgery (125 citations). Cong Shen has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Nan Yu, Youmin Guo, Shubo Cai, Jie Zhou, Heping Zhou, Kang Liu, Gang Niu, Peng Song, Qiyang He and Xuemei Lu. Their work appears in journals such as Journal of X-Ray Science and Technology, Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy, Frontiers in Cell and Developmental Biology, Annals of Translational Medicine and Oxidative Medicine and Cellular Longevity.
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.