Beibei Jiang

1.1k citations
34 papers · 622 · h-index 14

Impact in

Papers in

Beibei Jiang

30 papers receiving 616 citations

Peers

Beibei Jiang
Comparison fields: 5 of 75
  • Health Informatics 30
  • Radiology, Nuclear Medicine and Imaging 262
  • Pulmonary and Respiratory Medicine 169
  • Cardiology and Cardiovascular Medicine 63
  • Health Information Management 11
Replace Benjamin Hunter with:
Benjamin Hunter United Kingdom
Yura Ahn South Korea
Johanna Uthoff United States
Mishka Gidwani United States
Massimo Imbriaco Italy
Mostafa Nazari Iran
Michael C. Tjong Canada
Heng‐Sheng Chao Taiwan
Wansheng Long China
Khashayar Namdar Canada
Beibei Jiang relative to Benjamin Hunter United Kingdom Benjamin Hunter's profile →
Citations per field
00.5×2.8×
Benjamin Hunter · 1×
Citations per year

Countries citing papers authored by Beibei Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Beibei Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022126
2 202059
3 202141
4 202140
5 201140
6 202038
7 201332
8 202130
9 202227
10 201126
11 202218
12 202217
13 202117
14 201915
15 202213
16 202212
17 202110
18 20239
19 20218
20 20248

About Beibei Jiang

Beibei Jiang is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Oncology, Biomedical Engineering and Molecular Biology, having authored 34 papers that have together received 622 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Advanced X-ray and CT Imaging (4 papers), Cardiac Imaging and Diagnostics (4 papers), Lung Cancer Treatments and Mutations (3 papers), Cardiovascular Disease and Adiposity (2 papers), Colorectal Cancer Treatments and Studies (2 papers) and Emotion and Mood Recognition (2 papers). The work is most often cited by research in Health Informatics (30 citations), Radiology, Nuclear Medicine and Imaging (262 citations), Pulmonary and Respiratory Medicine (169 citations), Cardiology and Cardiovascular Medicine (63 citations) and Health Information Management (11 citations). Beibei Jiang has collaborated with scholars based in China, Netherlands and United Kingdom. Frequent co-authors include Xueqian Xie, Rozemarijn Vliegenthart, Geertruida H. de Bock, Lu Zhang, Shuai Zhang, Jianying Li, Xiaomeng Shi, Zhihan Xu, Matthijs Oudkerk and Lingyun Wang. Their work appears in journals such as British Journal of Radiology, European Radiology, European Journal of Cancer, Journal of Visual Communication and Image Representation and Cancers.

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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