Bing Wu

1.4k citations
62 papers · 917 · h-index 18

Impact in

Papers in

    • Colorectal Cancer Surgical Treatments 15
    • Colorectal Cancer Treatments and Studies 4
    • Colorectal Cancer Screening and Detection 3
    • Colorectal and Anal Carcinomas 8

Bing Wu

60 papers receiving 904 citations

Peers

Bing Wu
Comparison fields: 5 of 77
  • Oncology 237
  • Radiology, Nuclear Medicine and Imaging 138
  • Pulmonary and Respiratory Medicine 180
  • Health Informatics 8
  • Neurology 66
Replace Haiqun Xing with:
Haiqun Xing China
Dengbin Wang China
Natale Quartuccio Italy
Philip Wong Canada
Junjiong Zheng China
Syed M. Quadri United States
Yanfeng Zhong China
Valerio Nardone Italy
Salvatore Di Lauro Italy
Bing Wu relative to Haiqun Xing China Haiqun Xing's profile →
Citations per field
00.5×2.8×
Haiqun Xing · 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-authors

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

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013127
2 201175
3 201062
4 201955
5 201751
6 201643
7 201540
8 201833
9 201931
10 201929
11 201526
12 202025
13 201925
14 202020
15 202020
16 202419
17 201919
18 201017
19 202016
20 202114

About Bing Wu

Bing Wu is a scholar working on Oncology, Surgery, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Hepatology, having authored 62 papers that have together received 917 indexed citations. Recurring topics across this work include Colorectal Cancer Surgical Treatments (15 papers), Colorectal and Anal Carcinomas (8 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), MRI in cancer diagnosis (4 papers), Colorectal Cancer Treatments and Studies (4 papers), Colorectal Cancer Screening and Detection (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers) and Cardiovascular Function and Risk Factors (3 papers). The work is most often cited by research in Oncology (237 citations), Radiology, Nuclear Medicine and Imaging (138 citations), Pulmonary and Respiratory Medicine (180 citations), Health Informatics (8 citations) and Neurology (66 citations). Bing Wu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Sylvain Baruchel, Susan M. Blaney, Tao Jiang, Dan Liu, Youping Li, Xianglian Li, Jiantong Shen, Bin Song, Chunchao Xia and Xin Fang. Their work appears in journals such as Journal of Clinical Oncology, Medicine, 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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