Yuning Gu

691 citations
40 papers · 486 · h-index 11

Impact in

Papers in

Yuning Gu

34 papers receiving 477 citations

Peers

Yuning Gu
Comparison fields: 5 of 63
  • Radiology, Nuclear Medicine and Imaging 188
  • Biomaterials 83
  • Computational Mathematics 3
  • Drug Discovery 1
  • Health Informatics 7
Replace Ting Song with:
Ting Song China
Daniel Haddad Germany
Paul M. Kasili United States
Primož Peterlin Slovenia
Andrew J. Bower United States
Limin Zhang China
Xiyu Duan United States
Luca Pesce Italy
Nadine Vogler Germany
Joseph A. Khoory United States
Yuning Gu relative to Ting Song China Ting Song's profile →
Citations per field
00.5×2×4×6×7.4×
Ting Song · 1×
Citations per year

Countries citing papers authored by Yuning Gu

Since Specialization
Citations

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

Fields of papers citing papers by Yuning Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201793
2 201767
3 201951
4 201744
5 202339
6 202321
7 201719
8 201819
9 202415
10 202312
11 202011
12 202311
13 20198
14 20248
15 20248
16 20247
17 20257
18 20246
19 20225
20 20225

About Yuning Gu

Yuning Gu is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Condensed Matter Physics, Biomaterials and Artificial Intelligence, having authored 40 papers that have together received 486 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (15 papers), Medical Image Segmentation Techniques (9 papers), GaN-based semiconductor devices and materials (3 papers), Nanoparticle-Based Drug Delivery (2 papers), Medical Imaging Techniques and Applications (2 papers), Extracellular vesicles in disease (2 papers), Generative Adversarial Networks and Image Synthesis (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (188 citations), Biomaterials (83 citations), Computational Mathematics (3 citations), Drug Discovery (1 citation) and Health Informatics (7 citations). Yuning Gu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xin Guang Yu, Yuchi Liu, He Hu, Nicole F. Steinmetz, Yifan Zhang, Sourabh Shukla, M. Hema, Bryan Clifford, Fan Lam and Zhi‐Pei Liang. Their work appears in journals such as Magnetic Resonance in Medicine, IEEE Transactions on Biomedical Engineering, Optics Express, Scientific Reports and IEEE Journal of Biomedical and Health Informatics.

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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