Jun Shen
Impact in
- Health Informatics top 0.5%
-
- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 19
- MRI in cancer diagnosis 9
- Biomaterials 28
- Nanoparticle-Based Drug Delivery 23
- Co-authors
- Xiaohui Duan (48 shared papers)Siming Huang (11 shared papers)Chen Guosheng (10 shared papers)Gangfeng Ouyang (10 shared papers)Xiaoxue Kou (8 shared papers)Fang Zhang (41 shared papers)Xintao Shuai (23 shared papers)Jiaji Mao (25 shared papers)
- Journals
- European Radiology (18 papers)European Journal of Radiology (8 papers)Journal of Magnetic Resonance Imaging (6 papers)Frontiers in Oncology (5 papers)ACS Applied Materials & Interfaces (4 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Jun Shen
277 papers receiving 9.3k citations
Jun Shen's Hit Papers
Peers
Comparison fields: 5 of 180
- Health Informatics 287
- Radiology, Nuclear Medicine and Imaging 2.1k
- Biomaterials 1.1k
- Biomedical Engineering 2.0k
- Inorganic Chemistry 590
Countries citing papers authored by Jun Shen
This map shows the geographic impact of Jun 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 Jun Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Shen more than expected).
Fields of papers citing papers by Jun Shen
This network shows the impact of papers produced by Jun 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 Jun Shen. The network helps show where Jun Shen may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun 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 289 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Clinically Applicable AI System for Accurate Diagnosis, Quantitative Measurements, and Prognosis of COVID-19 Pneumonia Using Computed Tomography Hit paper breakdown → | 2020 | 695 |
| 2 | Deep Learning Enables Accurate Diagnosis of Novel Coronavirus (COVID-19) With CT Images Hit paper breakdown → | 2021 | 570 |
| 3 | “Armor‐Plating” Enzymes with Metal–Organic Frameworks (MOFs) Hit paper breakdown → | 2020 | 409 |
| 4 | 2018 | 336 | |
| 5 | 2019 | 230 | |
| 6 | 2018 | 192 | |
| 7 | 2000 | 175 | |
| 8 | MRI-based Quantification of Intratumoral Heterogeneity for Predicting Treatment Response to Neoadjuvant Chemotherapy in Breast Cancer Hit paper breakdown → | 2023 | 164 |
| 9 | 2020 | 160 | |
| 10 | 2021 | 157 | |
| 11 | 2020 | 153 | |
| 12 | 2020 | 149 | |
| 13 | 2021 | 148 | |
| 14 | 2019 | 139 | |
| 15 | 2017 | 133 | |
| 16 | 2019 | 120 | |
| 17 | 2020 | 114 | |
| 18 | 2015 | 105 | |
| 19 | 2019 | 104 | |
| 20 | 2019 | 100 |
About Jun Shen
Jun Shen is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomaterials, Biomedical Engineering, Oncology and Genetics, having authored 289 papers that have together received 9.6k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (27 papers), Nanoparticle-Based Drug Delivery (23 papers), Radiomics and Machine Learning in Medical Imaging (19 papers), RNA Interference and Gene Delivery (15 papers), Nerve injury and regeneration (10 papers), MRI in cancer diagnosis (9 papers), AI in cancer detection (8 papers) and Advanced biosensing and bioanalysis techniques (7 papers). The work is most often cited by research in Health Informatics (287 citations), Radiology, Nuclear Medicine and Imaging (2.1k citations), Biomaterials (1.1k citations), Biomedical Engineering (2.0k citations) and Inorganic Chemistry (590 citations). Jun Shen has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xiaohui Duan, Siming Huang, Chen Guosheng, Gangfeng Ouyang, Xiaoxue Kou, Fang Zhang, Xintao Shuai, Jiaji Mao, Liejing Lu and Zehong Yang. Their work appears in journals such as European Radiology, European Journal of Radiology, Journal of Magnetic Resonance Imaging, Frontiers in Oncology and ACS Applied Materials & Interfaces.
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.