Weibo Chen

2.5k citations
109 papers · 1.8k · h-index 25

Impact in

    • MRI in cancer diagnosis
    • Advanced MRI Techniques and Applications
    • Radiomics and Machine Learning in Medical Imaging
    • Advanced Neuroimaging Techniques and Applications
    • Medical Imaging Techniques and Applications
    • Head and Neck Cancer Studies

Papers in

Weibo Chen

104 papers receiving 1.8k citations

Peers

Weibo Chen
Comparison fields: 5 of 155
  • Radiology, Nuclear Medicine and Imaging 899
  • Otorhinolaryngology 96
  • Hepatology 123
  • Sensory Systems 71
  • Neurology 119
Replace Ronald Borra with:
Ronald Borra Netherlands
Harushi Mori Japan
Marco Aiello Italy
Jinna Kim South Korea
Queenie Chan China
Damien Galanaud France
Toshiyuki Okubo Japan
Masayuki Baba Japan
Robert W. Prost United States
Alan Coulthard Australia
Weibo Chen relative to Ronald Borra Netherlands Ronald Borra's profile →
Citations per field
00.5×1.5×2.1×
Ronald Borra · 1×
Citations per year

Countries citing papers authored by Weibo Chen

Since Specialization
Citations

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

Fields of papers citing papers by Weibo Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016107
2 201495
3 202267
4 201759
5 201854
6 202152
7 201547
8 201645
9 201445
10 201445
11 201141
12 202239
13 201736
14 201636
15 201934
16 201334
17 201934
18 202233
19 202031
20 201931

About Weibo Chen

Weibo Chen is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery, Epidemiology, Physiology and Hepatology, having authored 109 papers that have together received 1.8k indexed citations. Recurring topics across this work include MRI in cancer diagnosis (35 papers), Advanced MRI Techniques and Applications (31 papers), Advanced Neuroimaging Techniques and Applications (28 papers), Radiomics and Machine Learning in Medical Imaging (14 papers), Liver Disease Diagnosis and Treatment (10 papers), Hepatocellular Carcinoma Treatment and Prognosis (7 papers), Salivary Gland Disorders and Functions (7 papers) and Bone and Joint Diseases (7 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (899 citations), Otorhinolaryngology (96 citations), Hepatology (123 citations), Sensory Systems (71 citations) and Neurology (119 citations). Weibo Chen has collaborated with scholars based in China, United States and Finland. Frequent co-authors include Guangbin Wang, Queenie Chan, Chengyan Wang, Fei Gao, Richard A.E. Edden, Jian He, Zhengyang Zhou, Yunbin Chen, Dechun Zheng and Bin Zhao. Their work appears in journals such as Journal of Magnetic Resonance Imaging, European Radiology, Scientific Reports, Journal of Computer Assisted Tomography and NMR in Biomedicine.

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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