Ching‐Feng Wu

663 citations
46 papers · 447 indexed · h-index 13

Impact in

Papers in

Ching‐Feng Wu

42 papers receiving 441 citations

Peers

Ching‐Feng Wu
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
Replace Carlo Alberto Ricciardi with:
Carlo Alberto Ricciardi Italy
K. Katsenis Greece
Chi‐Jen Chang Taiwan
Takuya Miyahara Japan
Philipp Jud Austria
Phillip Walker United States
Jin Ha Park South Korea
Hongliu Yang China
H Duncan Australia
Jeffrey C. Oram-Smith United States
Ching‐Feng Wu relative to Carlo Alberto Ricciardi Italy Carlo Alberto Ricciardi's profile →
Citations per field
00.5×9.7×
Carlo Alberto Ricciardi · 1×
Citations per year

Countries citing papers authored by Ching‐Feng Wu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ching‐Feng Wu Line = papers co-authored together Ching‐Feng Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20241
4 20233
5 20216
6 20211
7 20219
8 20201
9 202041
10 20191
11 20173
12 20164
13 201627
14 201512
15 201545
16 20159
17 201522
18 20149
19 20149
20 201318

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.

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