Songfeng Jiang
Impact in
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- Neurology top 10%
- Long-Term Effects of COVID-19
Papers in
-
- COVID-19 diagnosis using AI 3
- Radiomics and Machine Learning in Medical Imaging 3
-
- COVID-19 Clinical Research Studies 1
- Viral Infections and Vectors 1
- Co-authors
- Wanhua GuanDeyang HuangBihua ChenLieguang ZhangQingxin GanChengcheng YuZhoukun LingJing Qu
- Journals
- European Journal of Nuclear Medicine and Molecular Imaging (1 paper)Zhonghua fangshexian yixue zazhi (2 papers)PubMed (1 paper)
- Partner nations
- China
In The Last Decade
Songfeng Jiang
5 papers receiving 553 citations
Hit Papers
Peers
Comparison fields: 5 of 77
- Infectious Diseases 398
- Neurology 194
- Critical Care and Intensive Care Medicine 64
- Radiology, Nuclear Medicine and Imaging 212
- Oncology 142
Countries citing papers authored by Songfeng Jiang
This map shows the geographic impact of Songfeng 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 Songfeng Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Songfeng Jiang more than expected).
Fields of papers citing papers by Songfeng Jiang
This network shows the impact of papers produced by Songfeng 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 Songfeng Jiang. The network helps show where Songfeng Jiang may publish in the future.
Co-authors
The 21 scholars most cited alongside Songfeng 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 | 2020 | 2 | |
| 2 | 2020 | 4 | |
| 3 | Imaging and clinical features of patients with 2019 novel coronavirus SARS-CoV-2 Hit paper breakdown → | 2020 | 557 |
| 4 | 2015 | 3 | |
| 5 | The chest X-ray image features of patients with severe SRAS: a preliminary study. | 2003 | 2 |
About Songfeng Jiang
Songfeng Jiang is a scholar working on Radiology, Nuclear Medicine and Imaging, Infectious Diseases, Neurology, Surgery and Public Health, Environmental and Occupational Health, having authored 5 papers that have together received 568 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Diagnosis and treatment of tuberculosis (2 papers), Long-Term Effects of COVID-19 (1 paper), Malaria Research and Control (1 paper), COVID-19 Clinical Research Studies (1 paper), Viral Infections and Vectors (1 paper) and Infectious Diseases and Tuberculosis (1 paper). The work is most often cited by research in Infectious Diseases (398 citations), Neurology (194 citations), Critical Care and Intensive Care Medicine (64 citations), Radiology, Nuclear Medicine and Imaging (212 citations) and Oncology (142 citations). Songfeng Jiang has collaborated with scholars based in China. Frequent co-authors include Wanhua Guan, Deyang Huang, Bihua Chen, Lieguang Zhang, Qingxin Gan, Chengcheng Yu, Zhoukun Ling, Jing Qu, Yan Ding and Liangping Luo. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, Zhonghua fangshexian yixue zazhi and PubMed.
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.