Yuqi Chen

992 total citations
46 papers, 565 citations indexed

About

Yuqi Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Yuqi Chen has authored 46 papers receiving a total of 565 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 7 papers in Molecular Biology. Recurrent topics in Yuqi Chen's work include Face and Expression Recognition (3 papers), Image Retrieval and Classification Techniques (3 papers) and Advanced Sensor and Energy Harvesting Materials (3 papers). Yuqi Chen is often cited by papers focused on Face and Expression Recognition (3 papers), Image Retrieval and Classification Techniques (3 papers) and Advanced Sensor and Energy Harvesting Materials (3 papers). Yuqi Chen collaborates with scholars based in China, Singapore and Australia. Yuqi Chen's co-authors include Jun Sun, Christopher M. Poskitt, Yoriyuki Yamagata, Jun Inoue, Zequn Zhang, Baihua Zheng, Hanyuan Zhang, Pang Du, Weiwei Sun and Yuanwang Wei and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and International Journal of Molecular Sciences.

In The Last Decade

Yuqi Chen

39 papers receiving 548 citations

Peers

Yuqi Chen
Comparison fields: 5 of 90
  • Artificial Intelligence 297
  • Computer Networks and Communications 200
  • Control and Systems Engineering 200
  • Signal Processing 83
  • Computer Vision and Pattern Recognition 77
Replace Wenyu Zhang with:
Wenyu Zhang Singapore
Saleh Zein-Sabatto United States
Andri Riid Estonia
Wenjiang Ji China
Hamza Kheddar Algeria
Vali Derhami Iran
Pramuditha Perera United States
Xiang Wei China
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Wenyu Zhang Singapore View profile →
Citations per field, relative to Yuqi Chen
Yuqi Chen · 1×
Citations per year, relative to Yuqi Chen
Yuqi Chen · 1×

Countries citing papers authored by Yuqi Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yuqi Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuqi Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Yuqi Chen. A scholar is included among the top collaborators of Yuqi 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 Yuqi Chen. Yuqi 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 0
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3 0
4 1
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7 1
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11 2
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13 11
14 2
15 6
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18 24
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20
Learning from mutants: Using code mutation to learn and monitor invariants of a cyber-physical system
86

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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