Dechang Chen
- Infectious Diseases top 2%
- Modeling and Simulation top 1%
- Neurology top 5%
- Epidemiology
- Oncology
- Co-authors
- Zhaofen LinSheng ZhangWenbo YuXianghong YangJiao LiuZhixiong WuRanran LiZhongheng Zhang
- Topics
- COVID-19 Clinical Research Studies (13 papers)Long-Term Effects of COVID-19 (7 papers)Respiratory Support and Mechanisms (6 papers)
- Journals
- Journal of Clinical InvestigationSHILAP Revista de lepidopterologíaFrontiers in Immunology
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Dechang Chen
43 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Infectious Diseases 711
- Modeling and Simulation 322
- Neurology 264
- Epidemiology 192
- Oncology 178
Countries citing papers authored by Dechang Chen
This map shows the geographic impact of Dechang Chen'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 Dechang Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dechang Chen more than expected).
Fields of papers citing papers by Dechang Chen
This network shows the impact of papers produced by Dechang Chen. 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 Dechang Chen. The network helps show where Dechang Chen may publish in the future.
Co-authorship network of co-authors of Dechang Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Dechang Chen. A scholar is included among the top collaborators of Dechang Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dechang Chen. Dechang Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 4 | |
| 3 | 5 | |
| 4 | 5 | |
| 5 | 7 | |
| 6 | 19 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 91 | |
| 10 | 15 | |
| 11 | 0 | |
| 12 | 11 | |
| 13 | 86 | |
| 14 | 149 | |
| 15 | 91 | |
| 16 | 102 | |
| 17 | 7 | |
| 18 | 10 | |
| 19 | Critical care medicine in mainland China. | 4 |
| 20 | Initial-Oblique Derivative Problem for Nonlinear Parabolic Equations in High Dimensional Domains | 4 |
About Dechang Chen
Dechang Chen is a scholar working on Critical Care and Intensive Care Medicine, Infectious Diseases and Modeling and Simulation, having authored 48 papers that have together received 1.4k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (13 papers), Long-Term Effects of COVID-19 (7 papers) and Respiratory Support and Mechanisms (6 papers). The work is most often cited by research in Modeling and Simulation (322 citations), Infectious Diseases (711 citations) and Critical Care and Intensive Care Medicine (111 citations). Dechang Chen has collaborated with scholars based in China, United States and France. Frequent co-authors include Zhaofen Lin, Sheng Zhang, Wenbo Yu, Sheng Zhang, Xianghong Yang, Jiao Liu, Zhixiong Wu, Ranran Li, Zhongheng Zhang and Renhua Sun. Their work appears in journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and Frontiers in Immunology.
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.