Ching‐Feng Wu
Impact in
- Emergency Medical Services top 10%
- Central Venous Catheters and Hemodialysis
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- Lung Cancer Diagnosis and Treatment
- Lung Cancer Treatments and Mutations
- Pleural and Pulmonary Diseases
- Vascular Procedures and Complications
Papers in
-
- Central Venous Catheters and Hemodialysis 8
-
- Venous Thromboembolism Diagnosis and Management 4
- Co-authors
- Yun‐Hen LiuChing-Yang WuMing‐Ju HsiehYi‐Cheng WuJui‐Ying FuDiego González-RivasYin‐Kai ChaoGeng‐Ruei Chang
- Journals
- Medicine (8 papers)Biomedical Journal (3 papers)Journal of Personalized Medicine (2 papers)International Journal of Molecular Sciences (2 papers)Surgery Today (2 papers)
- Partner nations
- TaiwanSpainUnited States
In The Last Decade
Ching‐Feng Wu
42 papers receiving 441 citations
Peers
Comparison fields: 5 of 85
- Emergency Medical Services 54
- Pulmonary and Respiratory Medicine 227
- Anesthesiology and Pain Medicine 29
- Biological Psychiatry 12
- Internal Medicine 16
Countries citing papers authored by Ching‐Feng Wu
This map shows the geographic impact of Ching‐Feng Wu'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 Ching‐Feng Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ching‐Feng Wu more than expected).
Fields of papers citing papers by Ching‐Feng Wu
This network shows the impact of papers produced by Ching‐Feng Wu. 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 Ching‐Feng Wu. The network helps show where Ching‐Feng Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ching‐Feng Wu, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 3 | |
| 5 | 2021 | 6 | |
| 6 | 2021 | 1 | |
| 7 | 2021 | 9 | |
| 8 | 2020 | 1 | |
| 9 | 2020 | 41 | |
| 10 | 2019 | 1 | |
| 11 | 2017 | 3 | |
| 12 | 2016 | 4 | |
| 13 | 2016 | 27 | |
| 14 | 2015 | 12 | |
| 15 | 2015 | 45 | |
| 16 | 2015 | 9 | |
| 17 | 2015 | 22 | |
| 18 | 2014 | 9 | |
| 19 | 2014 | 9 | |
| 20 | 2013 | 18 |
About Ching‐Feng Wu
Ching‐Feng Wu is a scholar working on Emergency Medical Services, Internal Medicine, Pulmonary and Respiratory Medicine, Surgery and Anesthesiology and Pain Medicine, having authored 46 papers that have together received 447 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (18 papers), Lung Cancer Treatments and Mutations (10 papers), Central Venous Catheters and Hemodialysis (8 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Vascular Procedures and Complications (5 papers), Venous Thromboembolism Diagnosis and Management (4 papers), Pleural and Pulmonary Diseases (4 papers) and Aortic Disease and Treatment Approaches (3 papers). The work is most often cited by research in Emergency Medical Services (54 citations), Pulmonary and Respiratory Medicine (227 citations), Anesthesiology and Pain Medicine (29 citations), Biological Psychiatry (12 citations) and Internal Medicine (16 citations). Ching‐Feng Wu has collaborated with scholars based in Taiwan, Spain and United States. Frequent co-authors include Yun‐Hen Liu, Ching-Yang Wu, Ming‐Ju Hsieh, Yi‐Cheng Wu, Jui‐Ying Fu, Diego González-Rivas, Yin‐Kai Chao, Geng‐Ruei Chang, Ying‐Huang Tsai and Cheng‐Ta Yang. Their work appears in journals such as Medicine, Biomedical Journal, Journal of Personalized Medicine, International Journal of Molecular Sciences and Surgery Today.
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.