Meng Jiang
Impact in
- Health Informatics top 2%
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
Papers in
-
- Cardiac Imaging and Diagnostics 4
- COVID-19 diagnosis using AI 4
- Radiomics and Machine Learning in Medical Imaging 3
- MRI in cancer diagnosis 2
- Co-authors
- Long Jiang ZhangGuangming LuZiyue ZuQian NiPeng XuWen ChenFei HuXin‐Wu Cui
- Journals
- Korean Journal of Radiology (2 papers)European Radiology (2 papers)Frontiers in Oncology (1 paper)Radiology (1 paper)European Heart Journal - Cardiovascular Imaging (1 paper)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Meng Jiang
16 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Health Informatics 50
- Modeling and Simulation 150
- Infectious Diseases 555
- Radiology, Nuclear Medicine and Imaging 575
- Critical Care and Intensive Care Medicine 90
Countries citing papers authored by Meng Jiang
This map shows the geographic impact of Meng Jiang'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 Meng Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meng Jiang more than expected).
Fields of papers citing papers by Meng Jiang
This network shows the impact of papers produced by Meng Jiang. 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 Meng Jiang. The network helps show where Meng Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Meng Jiang, 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 | 2024 | 1 | |
| 2 | 2023 | 3 | |
| 3 | 2022 | 3 | |
| 4 | 2022 | 14 | |
| 5 | 2022 | 14 | |
| 6 | 2021 | 18 | |
| 7 | 2020 | 8 | |
| 8 | 2020 | 3 | |
| 9 | 2020 | 12 | |
| 10 | 2020 | 1 | |
| 11 | Coronavirus Disease 2019 (COVID-19): A Perspective from China Hit paper breakdown → | 2020 | 1329 |
| 12 | 2020 | 10 | |
| 13 | 2018 | 4 | |
| 14 | 2018 | 1 | |
| 15 | 2017 | 14 | |
| 16 | 2007 | 13 |
About Meng Jiang
Meng Jiang is a scholar working on Radiology, Nuclear Medicine and Imaging, Internal Medicine, Cardiology and Cardiovascular Medicine, Infectious Diseases and Statistics, Probability and Uncertainty, having authored 16 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (4 papers), COVID-19 diagnosis using AI (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), COVID-19 Clinical Research Studies (3 papers), Coronary Interventions and Diagnostics (3 papers), MRI in cancer diagnosis (2 papers), Acute Myocardial Infarction Research (2 papers) and COVID-19 and healthcare impacts (2 papers). The work is most often cited by research in Health Informatics (50 citations), Modeling and Simulation (150 citations), Infectious Diseases (555 citations), Radiology, Nuclear Medicine and Imaging (575 citations) and Critical Care and Intensive Care Medicine (90 citations). Meng Jiang has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Long Jiang Zhang, Guangming Lu, Ziyue Zu, Qian Ni, Peng Xu, Wen Chen, Fei Hu, Xin‐Wu Cui, Christoph F. Dietrich and Yang Xiao. Their work appears in journals such as Korean Journal of Radiology, European Radiology, Frontiers in Oncology, Radiology and European Heart Journal - Cardiovascular Imaging.
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.