Bing Wu

1.3k citations
60 papers · 881 indexed · h-index 18

Impact in

    • Radiomics and Machine Learning in Medical Imaging
    • Advanced MRI Techniques and Applications
    • MRI in cancer diagnosis
  • Oncology top 10%
    • Colorectal Cancer Surgical Treatments
    • Colorectal Cancer Screening and Detection

Papers in

Bing Wu

56 papers receiving 868 citations

Peers

Bing Wu
Comparison fields: 5 of 83
  • Radiology, Nuclear Medicine and Imaging 263
  • Oncology 299
  • Pulmonary and Respiratory Medicine 240
  • Health Informatics 9
  • Neurology 84
Replace Elia Guadagno with:
Elia Guadagno Italy
Dengbin Wang China
G Fine United States
Natale Quartuccio Italy
Honsoul Kim South Korea
Shinji Shinohara Japan
Valerio Nardone Italy
Haiqun Xing China
Atsushi Hamabe Japan
June-Key Chung South Korea
Bing Wu relative to Elia Guadagno Italy Elia Guadagno's profile →
Citations per field
00.5×5.5×
Elia Guadagno · 1×
Citations per year

Countries citing papers authored by Bing Wu

Since Specialization
Citations

This map shows the geographic impact of Bing 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 Bing Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Wu more than expected).

Fields of papers citing papers by Bing Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bing 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 Bing Wu. The network helps show where Bing Wu may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Bing 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 Bing Wu Line = papers co-authored together Bing Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20243
4 20243
5 20235
6 20231
7 20223
8 20222
9 20216
10 202113
11 20201
12 20201
13 20203
14 202024
15 20201
16 201749
17 201526
18 201539
19 2013125
20 20079

About Bing Wu

Bing Wu is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology, Gastroenterology, Surgery and Emergency Medicine, having authored 60 papers that have together received 881 indexed citations. Recurring topics across this work include Colorectal Cancer Surgical Treatments (18 papers), Radiomics and Machine Learning in Medical Imaging (18 papers), Colorectal and Anal Carcinomas (11 papers), Colorectal Cancer Screening and Detection (10 papers), MRI in cancer diagnosis (8 papers), Gastric Cancer Management and Outcomes (5 papers), Renal cell carcinoma treatment (4 papers) and Cardiovascular Function and Risk Factors (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (263 citations), Oncology (299 citations), Pulmonary and Respiratory Medicine (240 citations), Health Informatics (9 citations) and Neurology (84 citations). Bing Wu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Susan M. Blaney, Sylvain Baruchel, Tao Jiang, Dan Liu, Chunchao Xia, Xianglian Li, Bin Song, Jiantong Shen, Youping Li and Ziqiang Wang. Their work appears in journals such as Medicine, Journal of Clinical Oncology, Frontiers in Oncology, European Radiology and American Journal of Roentgenology.

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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