Huawei Wu

582 total citations
34 papers, 431 citations indexed

About

Huawei Wu is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Huawei Wu has authored 34 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Radiology, Nuclear Medicine and Imaging, 16 papers in Biomedical Engineering and 10 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Huawei Wu's work include Advanced X-ray and CT Imaging (11 papers), Medical Imaging Techniques and Applications (9 papers) and Radiation Dose and Imaging (9 papers). Huawei Wu is often cited by papers focused on Advanced X-ray and CT Imaging (11 papers), Medical Imaging Techniques and Applications (9 papers) and Radiation Dose and Imaging (9 papers). Huawei Wu collaborates with scholars based in China, Australia and United States. Huawei Wu's co-authors include Jiejun Cheng, XU Jian-rong, Ying Zhang, Shiteng Suo, Jing Zou, Jianrong Xu, Chunde Bao, Qiang Guo, Feng Zhang and Fang Zhang and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Scientific Reports.

In The Last Decade

Huawei Wu

32 papers receiving 429 citations

Peers

Huawei Wu
Comparison fields: 5 of 57
  • Radiology, Nuclear Medicine and Imaging 275
  • Biomedical Engineering 208
  • Pulmonary and Respiratory Medicine 171
  • Surgery 46
  • Epidemiology 41
Replace Lakshmi Ananthakrishnan with:
Lakshmi Ananthakrishnan United States
Nicolò Schicchi Italy
Marco Cavallaro Italy
Hynek Mírka Czechia
Djamel Dabli France
Sebastian Wojcinski Germany
Rika Fukui Japan
Aymeric Hamard France
Y. Theillère France
Jijo Paul Germany
Lakshmi Ananthakrishnan United States View profile →
Citations per field, relative to Huawei Wu
Huawei Wu · 1×
Citations per year, relative to Huawei Wu
Huawei Wu · 1×

Countries citing papers authored by Huawei Wu

Since Specialization
Citations

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

Fields of papers citing papers by Huawei Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huawei Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Huawei Wu. A scholar is included among the top collaborators of Huawei Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Huawei Wu. Huawei Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 2
3 1
4 1
5 18
6 1
7 4
8 1
9 14
10 6
11 6
12 10
13 31
14 63
15 46
16 1
17 28
18 2
19 1
20 4

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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