Ruoxi Qin

452 total citations
19 papers, 302 citations indexed

About

Ruoxi Qin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ruoxi Qin has authored 19 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ruoxi Qin's work include Adversarial Robustness in Machine Learning (7 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and AI in cancer detection (3 papers). Ruoxi Qin is often cited by papers focused on Adversarial Robustness in Machine Learning (7 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and AI in cancer detection (3 papers). Ruoxi Qin collaborates with scholars based in China, Singapore and South Korea. Ruoxi Qin's co-authors include Na Wang, Wenjuan Wang, Xuehui Du, Tian Wang, Chang Choi, Chen Yang, Hichem Snoussi, Kai Qiao, Bin Yan and Jian Chen and has published in prestigious journals such as IEEE Access, Applied Sciences and Multimedia Tools and Applications.

In The Last Decade

Ruoxi Qin

16 papers receiving 290 citations

Peers

Ruoxi Qin
Comparison fields: 5 of 65
  • Artificial Intelligence 149
  • Computer Networks and Communications 120
  • Computer Vision and Pattern Recognition 67
  • Radiology, Nuclear Medicine and Imaging 65
  • Signal Processing 63
Replace Abdullah Al Hejaili with:
Abdullah Al Hejaili Saudi Arabia
Kambiz Majidzadeh Iran
Yuzhen Ding China
Nizar Alsharif Saudi Arabia
Amir Hanif Dar Pakistan
Jiayuan Wang China
Shengwei Tian China
Kiran Sultan Saudi Arabia
Xiaohua Wang China
Michel Salomon France
Abdullah Al Hejaili Saudi Arabia View profile →
Citations per field, relative to Ruoxi Qin
Ruoxi Qin · 1×
Citations per year, relative to Ruoxi Qin
Ruoxi Qin · 1×

Countries citing papers authored by Ruoxi Qin

Since Specialization
Citations

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

Fields of papers citing papers by Ruoxi Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruoxi Qin

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

All Works

19 of 19 papers shown
# Work Indexed citations
1 0
2 0
3 2
4 1
5 5
6 0
7 1
8 1
9 4
10 3
11 9
12 60
13 108
14 3
15 12
16 2
17 74
18 16
19 1

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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