Ru Yang

1.9k citations
33 papers · 1.2k · 1 hit paper · h-index 14

Impact in

Papers in

Ru Yang

32 papers receiving 1.1k citations

Ru Yang's Hit Papers

Enhanced Performance of Brain Tumor Classification via Tumor Region Augmentation and Partition 2015 · 562 citations
5620+3+7Years since publication100200300400500

Peers

Ru Yang
Comparison fields: 5 of 84
  • Neurology 675
  • Computer Vision and Pattern Recognition 530
  • Artificial Intelligence 378
  • Radiology, Nuclear Medicine and Imaging 209
  • Cognitive Neuroscience 159
Replace Guihu Zhao with:
Guihu Zhao China
Nicha C. Dvornek United States
S. Sandor-Leahy United States
Xia-an Bi China
Sofia Ira Ktena United States
Alexandre Savio Spain
Venkateswaran Rajagopalan United States
Darya Chyzhyk Spain
Ivana Despotović Belgium
Ru Yang relative to Guihu Zhao China Guihu Zhao's profile →
Citations per field
00.5×5.1×
Guihu Zhao · 1×
Citations per year

Countries citing papers authored by Ru Yang

Since Specialization
Citations

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

Fields of papers citing papers by Ru Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Enhanced Performance of Brain Tumor Classification via Tumor Region Augmentation and Partition
Hit paper breakdown →
2015562
2 2016206
3 202037
4 202036
5 202233
6 201929
7 201929
8 202023
9 201622
10 201818
11 202017
12 201916
13 201715
14 201815
15 202113
16 202013
17 201812
18 201710
19 20219
20 20218

About Ru Yang

Ru Yang is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Clinical Psychology, Cellular and Molecular Neuroscience and Experimental and Cognitive Psychology, having authored 33 papers that have together received 1.2k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (13 papers), Advanced Neuroimaging Techniques and Applications (7 papers), Obsessive-Compulsive Spectrum Disorders (6 papers), Neurotransmitter Receptor Influence on Behavior (4 papers), Neuroscience and Neuropharmacology Research (2 papers), Neural and Behavioral Psychology Studies (2 papers), Mental Health Research Topics (2 papers) and Advanced MRI Techniques and Applications (2 papers). The work is most often cited by research in Neurology (675 citations), Computer Vision and Pattern Recognition (530 citations), Artificial Intelligence (378 citations), Radiology, Nuclear Medicine and Imaging (209 citations) and Cognitive Neuroscience (159 citations). Ru Yang has collaborated with scholars based in China, United States and Norway. Frequent co-authors include Qianjin Feng, Wei Yang, Jun Cheng, Shuangliang Cao, Wei Huang, Zhaoqiang Yun, Zhijian Wang, Yujia Zhou, Jun Jiang and Wei Huang. Their work appears in journals such as Frontiers in Psychiatry, Neural Plasticity, PLoS ONE, Human Brain Mapping and BioMed Research International.

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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