Ruoxi Sun

1.1k citations
8 papers · 363 indexed · 1 hit paper · h-index 5
Topics
Topic Modeling (3 papers)Human Pose and Action Recognition (3 papers)Natural Language Processing Techniques (2 papers)
Journals
SensorsIEEE Signal Processing Letters2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

In The Last Decade

Ruoxi Sun

8 papers receiving 355 citations

Hit Papers

Learning to Prompt for Continual Learning20222026202320242022100200300

Peers

Ruoxi Sun
Comparison fields: 5 of 62
  • Artificial Intelligence 271
  • Computer Vision and Pattern Recognition 198
  • Radiology, Nuclear Medicine and Imaging 31
  • Media Technology 16
  • Computer Networks and Communications 13
Replace Vincent Perot with:
Vincent Perot United States
Xinyuan Chang China
Songlin Dong China
Qiushan Guo China
Jihwan Jeong South Korea
Baoyun Peng China
Fabio Cermelli Italy
Muhammad Uzair Khattak United Arab Emirates
Nilaksh Das United States
Şerafettin Taşcı Türkiye
Ruoxi Sun relative to Vincent Perot United States Vincent Perot's profile →
Citations per field
00.5×1.5×
Vincent Perot · 1×
Citations per year

Countries citing papers authored by Ruoxi Sun

Since Specialization
Citations

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

Fields of papers citing papers by Ruoxi Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruoxi Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Ruoxi Sun. A scholar is included among the top collaborators of Ruoxi Sun 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 Ruoxi Sun. Ruoxi Sun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

About Ruoxi Sun

Ruoxi Sun is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 8 papers that have together received 363 indexed citations. Recurring topics across this work include Topic Modeling (3 papers), Human Pose and Action Recognition (3 papers) and Natural Language Processing Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (198 citations), Artificial Intelligence (271 citations) and Media Technology (16 citations). Ruoxi Sun has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Tomas Pfister, Xiaoqi Ren, Zifeng Wang, Chen‐Yu Lee, Han Zhang, Zizhao Zhang, Vincent Perot, Jennifer Dy, Sercan Ö. Arık and Yong Wan. Their work appears in journals such as Sensors, IEEE Signal Processing Letters and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

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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