Yingying Chen

4.6k total citations · 2 hit papers
80 papers, 2.7k citations indexed

About

Yingying Chen is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Yingying Chen has authored 80 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Computer Vision and Pattern Recognition, 15 papers in Molecular Biology and 13 papers in Artificial Intelligence. Recurrent topics in Yingying Chen's work include Human Pose and Action Recognition (16 papers), Video Surveillance and Tracking Methods (12 papers) and Multimodal Machine Learning Applications (10 papers). Yingying Chen is often cited by papers focused on Human Pose and Action Recognition (16 papers), Video Surveillance and Tracking Methods (12 papers) and Multimodal Machine Learning Applications (10 papers). Yingying Chen collaborates with scholars based in China, United States and Australia. Yingying Chen's co-authors include Fisher Yu, Trevor Darrell, Fangchen Liu, Haofeng Chen, Xin Wang, Vashisht Madhavan, Wenqi Xian, Jinqiao Wang, Ming Tang and Bingke Zhu and has published in prestigious journals such as PLoS ONE, Scientific Reports and Food Chemistry.

In The Last Decade

Yingying Chen

71 papers receiving 2.6k citations

Hit Papers

BDD100K: A Diverse Driving Dataset for Heterogeneous Mult... 2020 2026 2022 2024 2020 2024 400 800 1.2k

Peers

Yingying Chen
Comparison fields: 5 of 148
  • Computer Vision and Pattern Recognition 1.6k
  • Artificial Intelligence 668
  • Automotive Engineering 342
  • Molecular Biology 223
  • Pharmacology 175
Replace Yu Wu with:
Yu Wu China
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Yu Wu China View profile →
Citations per field, relative to Yingying Chen
Yingying Chen · 1×
Citations per year, relative to Yingying Chen
Yingying Chen · 1×

Countries citing papers authored by Yingying Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yingying Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingying Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Yingying Chen. A scholar is included among the top collaborators of Yingying 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 Yingying Chen. Yingying 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 9
2 0
3 0
4 6
5 11
6 3
7 3
8 1
9 7
10 10
11 12
12 4
13 88
14 28
15 17
16 22
17 5
18 64
19 13
20 37

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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