G. Yang

555 citations
16 papers · 420 · h-index 8

Impact in

    • Advanced Image and Video Retrieval Techniques
    • Medical Image Segmentation Techniques
    • Advanced Vision and Imaging
    • Image Retrieval and Classification Techniques
    • Retinal Diseases and Treatments
    • Glaucoma and retinal disorders

Papers in

G. Yang

15 papers receiving 399 citations

Peers

G. Yang
Comparison fields: 5 of 55
  • Computer Vision and Pattern Recognition 313
  • Ophthalmology 89
  • Radiology, Nuclear Medicine and Imaging 185
  • Aerospace Engineering 147
  • Computer Graphics and Computer-Aided Design 11
Replace Anja Borsdorf with:
Anja Borsdorf Germany
Rafael Verdú‐Monedero Spain
Daru Pan China
Takashi Shibata Japan
Rami Qahwaji United Kingdom
Lee Streeter New Zealand
Juan Morales‐Sánchez Spain
Refael Whyte New Zealand
Julián Tachella United Kingdom
G. Yang relative to Anja Borsdorf Germany Anja Borsdorf's profile →
Citations per field
00.5×5.7×
Anja Borsdorf · 1×
Citations per year

Countries citing papers authored by G. Yang

Since Specialization
Citations

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

Fields of papers citing papers by G. Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside G. 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 G. Yang Line = papers co-authored together G. Yang links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2007189
2 200990
3 200729
4 200426
5 200823
6 200720
7 198914
8 200414
9 20063
10 20063
11 19893
12 19902
13 19941
14 19931
15
Towards general-purpose image registration
20071
16 20081

About G. Yang

G. Yang is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Radiology, Nuclear Medicine and Imaging, Electrical and Electronic Engineering and Materials Chemistry, having authored 16 papers that have together received 420 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (8 papers), Medical Image Segmentation Techniques (6 papers), Advanced Image and Video Retrieval Techniques (5 papers), Retinal Imaging and Analysis (4 papers), Advanced Vision and Imaging (4 papers), Semiconductor materials and devices (2 papers), Silicon Nanostructures and Photoluminescence (2 papers) and Thin-Film Transistor Technologies (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (313 citations), Ophthalmology (89 citations), Radiology, Nuclear Medicine and Imaging (185 citations), Aerospace Engineering (147 citations) and Computer Graphics and Computer-Aided Design (11 citations). G. Yang has collaborated with scholars based in United States, Taiwan and Canada. Frequent co-authors include Charles V. Stewart, Chia-Ling Tsai, Michal Sofka, Wenhui Chu, H.L. Tanenbaum, Badrinath Roysam, Gang Lin, Anna Majerovics, Ian R. Hill and S. K. Wong. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, IEEE Transactions on Medical Imaging, Solid State Communications, Applied Physics A and IEEE Transactions on Pattern Analysis and Machine Intelligence.

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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