Yuanqi Chen

657 total citations
25 papers, 352 citations indexed

About

Yuanqi Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cancer Research. According to data from OpenAlex, Yuanqi Chen has authored 25 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 4 papers in Cancer Research. Recurrent topics in Yuanqi Chen's work include Generative Adversarial Networks and Image Synthesis (6 papers), Image and Signal Denoising Methods (3 papers) and Breast Cancer Treatment Studies (3 papers). Yuanqi Chen is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (6 papers), Image and Signal Denoising Methods (3 papers) and Breast Cancer Treatment Studies (3 papers). Yuanqi Chen collaborates with scholars based in China and United States. Yuanqi Chen's co-authors include Ge Li, Shan Liu, Thomas H. Li, Yurui Ren, Xiujun Shu, Xiao Wang, Shiliang Zhang, Qi Tian, Zhixiang Mu and Thomas Li and has published in prestigious journals such as Acta Biomaterialia, British journal of surgery and European Journal of Cancer.

In The Last Decade

Yuanqi Chen

20 papers receiving 343 citations

Peers

Yuanqi Chen
Comparison fields: 5 of 89
  • Computer Vision and Pattern Recognition 208
  • Biomedical Engineering 59
  • Signal Processing 35
  • Artificial Intelligence 34
  • Computational Mechanics 20
Replace Lei Ma with:
Lei Ma China
Ting Fu China
Yi-Ran Sun China
Abhilasha Singh India
Koushlendra Kumar Singh India
Ming-Ju Wu Taiwan
Hyun-Sang Park South Korea
Shijia Liu China
Tianshuo Zhang China
Lei Ma China View profile →
Citations per field, relative to Yuanqi Chen
Yuanqi Chen · 1×
Citations per year, relative to Yuanqi Chen
Yuanqi Chen · 1×

Countries citing papers authored by Yuanqi Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yuanqi Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuanqi Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Yuanqi Chen. A scholar is included among the top collaborators of Yuanqi Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yuanqi Chen. Yuanqi Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 10
2 13
3 0
4 0
5 0
6 41
7 0
8 8
9 1
10 2
11 1
12 4
13 3
14 2
15 6
16 27
17 16
18 2
19 26
20 6

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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