Yuying Ge

1.2k citations
12 papers · 575 · h-index 7

Impact in

Papers in

    • Multimodal Machine Learning Applications 4
    • Image Enhancement Techniques 3
    • Generative Adversarial Networks and Image Synthesis 3
    • Human Pose and Action Recognition 3
    • Advanced Image and Video Retrieval Techniques 2
    • Advanced Image Processing Techniques 2
    • Domain Adaptation and Few-Shot Learning 3
    • Natural Language Processing Techniques 2

Yuying Ge

10 papers receiving 557 citations

Peers

Yuying Ge
Comparison fields: 5 of 62
  • Computer Vision and Pattern Recognition 471
  • Computer Graphics and Computer-Aided Design 58
  • Computational Mechanics 107
  • Industrial and Manufacturing Engineering 51
  • Museology 13
Replace Dongliang Zhou with:
Dongliang Zhou China
Jun Xiang China
Yuval Nirkin Israel
Shishir Subramanyam Netherlands
Jifei Song United Kingdom
Toshio Ueshiba Japan
Edmond C. Prakash Singapore
Jung‐Hong Chuang Taiwan
Yijie Guo United States
Miklós Hoffmann Hungary
Yuying Ge relative to Dongliang Zhou China Dongliang Zhou's profile →
Citations per field
00.5×10×20×34×
Dongliang Zhou · 1×
Citations per year

Countries citing papers authored by Yuying Ge

Since Specialization
Citations

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

Fields of papers citing papers by Yuying Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2019190
2 2021109
3 202390
4 201970
5 202165
6 202434
7 20238
8 20245
9 20233
10 20241
11 20250
12 20230

About Yuying Ge

Yuying Ge is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Mechanics, General Social Sciences and Infectious Diseases, having authored 12 papers that have together received 575 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (4 papers), Image Enhancement Techniques (3 papers), Generative Adversarial Networks and Image Synthesis (3 papers), Human Pose and Action Recognition (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Advanced Image and Video Retrieval Techniques (2 papers), Natural Language Processing Techniques (2 papers) and Advanced Image Processing Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (471 citations), Computer Graphics and Computer-Aided Design (58 citations), Computational Mechanics (107 citations), Industrial and Manufacturing Engineering (51 citations) and Museology (13 citations). Yuying Ge has collaborated with scholars based in China, Hong Kong and Singapore. Frequent co-authors include Ping Luo, Ruimao Zhang, Xiaogang Wang, Xiaoou Tang, Yibing Song, Chongjian Ge, Wei Liu, Ying Shan, Yixiao Ge and Han Yang. Their work appears in journals such as IEEE Transactions on Image Processing.

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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