Yuantao Chen

3.1k citations
56 papers · 2.1k indexed · 6 hit papers · h-index 24

Yuantao Chen

53 papers receiving 2.1k citations

Hit Papers

Dual degradatio...15202120262022202450100150

Peers

Yuantao Chen
Comparison fields: 5 of 125
  • Computer Vision and Pattern Recognition 1.3k
  • Media Technology 477
  • Computer Graphics and Computer-Aided Design 64
  • Artificial Intelligence 318
  • Bioengineering 49
Replace Feng Wu with:
Feng Wu China
Jing Chen China
Peng Chen China
Xudong Sun China
Ming Liang China
Chunjie Zhang China
Paramartha Dutta India
Wei Ke Macao
Majid Ahmadi Canada
Yuantao Chen relative to Feng Wu China Feng Wu's profile →
Citations per field
00.5×1.5×2.5×
Feng Wu · 1×
Citations per year

Countries citing papers authored by Yuantao Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yuantao Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2
Dual degradation image inpainting method via adaptive feature fusion and U-net networkbreakdown →
202515
3
ATM-DEN: Image Inpainting via attention transfer module and Decoder-Encoder networkbreakdown →
202522
4 202445
5 20240
6
DNNAM: Image inpainting algorithm via deep neural networks and attention mechanismbreakdown →
2024100
7 202380
8 202354
9 202388
10 202310
11 202223
12 202118
13 202114
14 202178
15 202017
16
Technology optimization of Medicago sativa leaf protein separation with foam fractionation.
20161
17
Saliency Detection Model Using Contrast of Local Feature and Global Feature in Image
20161
18 20135
19 20132
20
P2P Trust Model Based on Super Node
20091

About Yuantao Chen

Yuantao Chen is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 56 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (19 papers), Generative Adversarial Networks and Image Synthesis (13 papers), Advanced Vision and Imaging (11 papers), Image Processing Techniques and Applications (8 papers), Advanced Chemical Sensor Technologies (6 papers), Advanced Image Fusion Techniques (5 papers), Visual Attention and Saliency Detection (5 papers) and Advanced Image and Video Retrieval Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.3k citations), Media Technology (477 citations) and Computer Graphics and Computer-Aided Design (64 citations). Yuantao Chen has collaborated with scholars based in China. Frequent co-authors include Runlong Xia, Kai Yang, Ke Zou, Jie Xiong, Weihong Xu, Jingbo Xie, Qian Zhang, Jiajun Tao, Xi Chen and Binbin Ren.

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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