Xiaofeng Wang
Impact in
- Rehabilitation top 2%
- Stroke Rehabilitation and Recovery
Papers in
-
- Emergency and Acute Care Studies 8
- Co-authors
- Michael W. KattanAbhijit DuggalManshi LiKen SakaieXiaozhen HanDonald E. BrownYasushi KoyamaYuji Wada
- Journals
- CHEST Journal (10 papers)Journal of Intensive Care Medicine (7 papers)Statistics in Medicine (4 papers)Epilepsia (3 papers)PLoS ONE (3 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Xiaofeng Wang
229 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 189
- Critical Care and Intensive Care Medicine 165
- Rehabilitation 211
- Neurology 232
- Emergency Medicine 254
- Radiology, Nuclear Medicine and Imaging 475
Countries citing papers authored by Xiaofeng Wang
This map shows the geographic impact of Xiaofeng Wang'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 Xiaofeng Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaofeng Wang more than expected).
Fields of papers citing papers by Xiaofeng Wang
This network shows the impact of papers produced by Xiaofeng Wang. 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 Xiaofeng Wang. The network helps show where Xiaofeng Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaofeng Wang, 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 | 2025 | 6 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 6 | |
| 9 | 2024 | 0 | |
| 10 | 2024 | 3 | |
| 11 | 2024 | 7 | |
| 12 | 2023 | 6 | |
| 13 | 2023 | 29 | |
| 14 | 2022 | 0 | |
| 15 | 2019 | 7 | |
| 16 | 2018 | 30 | |
| 17 | 2015 | 23 | |
| 18 | 2015 | 2 | |
| 19 | 2014 | 1 | |
| 20 | Deconvolution Estimation in Measurement Error Models: The R Package decon | 2011 | 2 |
About Xiaofeng Wang
Xiaofeng Wang is a scholar working on Critical Care and Intensive Care Medicine, Emergency Medicine, Neurology, Rehabilitation and Statistics and Probability, having authored 252 papers that have together received 3.9k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (13 papers), Pulmonary Hypertension Research and Treatments (13 papers), Sepsis Diagnosis and Treatment (13 papers), Respiratory Support and Mechanisms (12 papers), Transcranial Magnetic Stimulation Studies (11 papers), Stroke Rehabilitation and Recovery (8 papers), Emergency and Acute Care Studies (8 papers) and Statistical Methods and Inference (8 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (165 citations), Rehabilitation (211 citations), Neurology (232 citations), Emergency Medicine (254 citations) and Radiology, Nuclear Medicine and Imaging (475 citations). Xiaofeng Wang has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Michael W. Kattan, Abhijit Duggal, Manshi Li, Ken Sakaie, Xiaozhen Han, Donald E. Brown, Yasushi Koyama, Yuji Wada, Kath M. Bogie and Chester Ho. Their work appears in journals such as CHEST Journal, Journal of Intensive Care Medicine, Statistics in Medicine, Epilepsia and PLoS ONE.
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.