Yingchen Yu

997 citations
19 papers · 542 · h-index 12

Impact in

Papers in

Yingchen Yu

17 papers receiving 534 citations

Peers

Yingchen Yu
Comparison fields: 5 of 76
  • Computer Graphics and Computer-Aided Design 93
  • Computer Vision and Pattern Recognition 446
  • Media Technology 32
  • Health Informatics 4
  • Industrial and Manufacturing Engineering 29
Replace Arsenii Ashukha with:
Arsenii Ashukha Russia
Jiemin Fang China
Harshith Goka United States
Fangneng Zhan Singapore
Iro Laina United Kingdom
Guangcong Wang China
Zhentao Tan China
Tao Hu China
Xukun Shen China
Yingchen Yu relative to Arsenii Ashukha Russia Arsenii Ashukha's profile →
Citations per field
00.5×1.5×
Arsenii Ashukha · 1×
Citations per year

Countries citing papers authored by Yingchen Yu

Since Specialization
Citations

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

Fields of papers citing papers by Yingchen Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 202193
2 202284
3 202167
4 202361
5 202138
6 202336
7 202231
8 202228
9 202126
10 202219
11 202217
12 202315
13 202310
14 20216
15 20236
16 20234
17 20241
18 20240
19 20230

About Yingchen Yu

Yingchen Yu is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Computer Graphics and Computer-Aided Design, Signal Processing and Artificial Intelligence, having authored 19 papers that have together received 542 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (13 papers), Advanced Vision and Imaging (8 papers), Advanced Image Processing Techniques (4 papers), 3D Shape Modeling and Analysis (3 papers), Multimodal Machine Learning Applications (3 papers), Computer Graphics and Visualization Techniques (3 papers), Digital Media Forensic Detection (3 papers) and Robotics and Sensor-Based Localization (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (93 citations), Computer Vision and Pattern Recognition (446 citations), Media Technology (32 citations), Health Informatics (4 citations) and Industrial and Manufacturing Engineering (29 citations). Yingchen Yu has collaborated with scholars based in Singapore, Germany and China. Frequent co-authors include Shijian Lu, Fangneng Zhan, Rongliang Wu, Kaiwen Cui, Xuansong Xie, Jiahui Zhang, Feiying Ma, Chunyan Miao, Jianxiong Pan and Gongjie Zhang. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Multimedia, Pattern Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence and SHILAP Revista de lepidopterología.

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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