Yipeng Hu

5.3k citations
91 papers · 2.7k indexed · 2 hit papers · h-index 24

Yipeng Hu

87 papers receiving 2.7k citations

Hit Papers

NiftyNet: a deep-learning platform for medical imaging3632018202620202023100200300400

Peers

Yipeng Hu
Comparison fields: 5 of 132
  • Health Informatics 99
  • Radiology, Nuclear Medicine and Imaging 1.1k
  • Computer Vision and Pattern Recognition 871
  • Pulmonary and Respiratory Medicine 938
  • Radiation 172
Replace Dean C. Barratt with:
Dean C. Barratt United Kingdom
Samuel Kadoury Canada
Sheng Xu United States
Michael Pringle United Kingdom
David J. Hawkes United Kingdom
Cornelis H. Slump Netherlands
Dong Yang United States
Hans-Peter Meinzer Germany
Bruce A. Vendt United States
Yipeng Hu relative to Dean C. Barratt United Kingdom Dean C. Barratt's profile →
Citations per field
00.5×1.5×2.3×
Dean C. Barratt · 1×
Citations per year

Countries citing papers authored by Yipeng Hu

Since Specialization
Citations

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

Fields of papers citing papers by Yipeng Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20258
3 20250
4 20250
5 20242
6 20246
7 20245
8 20243
9 20243
10 202314
11 20233
12 202228
13 202213
14 202222
15 20225
16 202113
17 202116
18 202018
19
NiftyNet: a deep-learning platform for medical imagingbreakdown →
2018363
20
Automatic Multi-Organ Segmentation on Abdominal CT With Dense V-Networksbreakdown →
2018472

About Yipeng Hu

Yipeng Hu is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 91 papers that have together received 2.7k indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (33 papers), Medical Image Segmentation Techniques (22 papers), Radiomics and Machine Learning in Medical Imaging (16 papers), Advanced Neural Network Applications (15 papers), Medical Imaging and Analysis (14 papers), Prostate Cancer Treatment and Research (12 papers), MRI in cancer diagnosis (7 papers) and Nonlinear Dynamics and Pattern Formation (6 papers). The work is most often cited by research in Health Informatics (99 citations), Radiology, Nuclear Medicine and Imaging (1.1k citations) and Computer Vision and Pattern Recognition (871 citations). Yipeng Hu has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Dean C. Barratt, Mark Emberton, Eli Gibson, Hashim U. Ahmed, Ester Bonmati, Matthew J. Clarkson, David J. Hawkes, Brian R Davidson, Caroline M. Moore and Stephen P. Pereira. Their work appears in journals such as Medical Image Analysis, International Journal of Computer Assisted Radiology and Surgery, The Journal of Urology, IEEE Transactions on Medical Imaging and Chaos Solitons & Fractals.

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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