Benqiang Yang

1.3k citations
90 papers · 920 · h-index 16

Impact in

Papers in

Benqiang Yang

84 papers receiving 903 citations

Peers

Benqiang Yang
Comparison fields: 5 of 96
  • Computer Vision and Pattern Recognition 379
  • Radiology, Nuclear Medicine and Imaging 222
  • Internal Medicine 29
  • Health Informatics 10
  • Cardiology and Cardiovascular Medicine 147
Replace Matthias John with:
Matthias John Germany
Tobias Boskamp Germany
Germán González United States
Teemu Mäkelä Finland
Aichi Chien United States
Limin Luo China
Sven Hirsch Switzerland
Radomí­r Chabiniok United Kingdom
Gongning Luo China
Kevin M. Cherry United States
Benqiang Yang relative to Matthias John Germany Matthias John's profile →
Citations per field
00.5×10×20×25.2×
Matthias John · 1×
Citations per year

Countries citing papers authored by Benqiang Yang

Since Specialization
Citations

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

Fields of papers citing papers by Benqiang Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017283
2 202148
3 202237
4 201632
5 201728
6 202124
7 202024
8 201222
9 202021
10 202119
11 201419
12 202316
13 202115
14 201915
15 202215
16 201715
17 201315
18 202213
19 201813
20 202111

About Benqiang Yang

Benqiang Yang is a scholar working on Radiology, Nuclear Medicine and Imaging, Epidemiology, Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine and Computer Vision and Pattern Recognition, having authored 90 papers that have together received 920 indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (24 papers), Cerebrovascular and Carotid Artery Diseases (22 papers), Cardiac Imaging and Diagnostics (17 papers), Cardiovascular Disease and Adiposity (13 papers), Medical Image Segmentation Techniques (13 papers), Advanced X-ray and CT Imaging (8 papers), Cardiovascular Function and Risk Factors (7 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (379 citations), Radiology, Nuclear Medicine and Imaging (222 citations), Internal Medicine (29 citations), Health Informatics (10 citations) and Cardiology and Cardiovascular Medicine (147 citations). Benqiang Yang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Libo Zhang, Junxin Chen, Zhiliang Zhu, Yushu Zhang, Lisheng Xu, Yang Duan, Yu Sun, Dawei Chen, Huiyan Jiang and Zhihua Xu. Their work appears in journals such as Frontiers in Neurology, Scientific Reports, Medical Physics, IEEE Journal of Biomedical and Health Informatics and Clinical Cardiology.

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.

Explore authors with similar magnitude of impact