Shuo Qin

463 total citations
16 papers, 328 citations indexed

About

Shuo Qin is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Shuo Qin has authored 16 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Information Systems, 8 papers in Computer Networks and Communications and 7 papers in Artificial Intelligence. Recurrent topics in Shuo Qin's work include Cloud Computing and Resource Management (9 papers), IoT and Edge/Fog Computing (7 papers) and Metaheuristic Optimization Algorithms Research (6 papers). Shuo Qin is often cited by papers focused on Cloud Computing and Resource Management (9 papers), IoT and Edge/Fog Computing (7 papers) and Metaheuristic Optimization Algorithms Research (6 papers). Shuo Qin collaborates with scholars based in China, United States and United Kingdom. Shuo Qin's co-authors include Chuck Zhang, Weimin Ma, Fuqing Zhao, Dechang Pi, Houbin Song, Zhongshi Shao, Yue Xu, Yi Zhang, Yang Chen and Yi Zhang and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and IEEE Transactions on Vehicular Technology.

In The Last Decade

Shuo Qin

15 papers receiving 322 citations

Peers

Shuo Qin
Comparison fields: 5 of 42
  • Industrial and Manufacturing Engineering 130
  • Artificial Intelligence 114
  • Computer Networks and Communications 98
  • Information Systems 79
  • Computational Theory and Mathematics 47
Replace Ivan Ruchkin with:
Ivan Ruchkin United States
Mohand Mezmaz France
Zhixing Huang China
M. Fi̇kret Ercan Singapore
Mehdi Akbari Iran
Wojciech Turek Poland
Marcela Quiróz-Castellanos Mexico
Stefan Kugele Germany
Ken Pierce United Kingdom
Ali Fuat Alkaya Türkiye
Ivan Ruchkin United States View profile →
Citations per field, relative to Shuo Qin
Shuo Qin · 1×
Citations per year, relative to Shuo Qin
Shuo Qin · 1×

Countries citing papers authored by Shuo Qin

Since Specialization
Citations

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

Fields of papers citing papers by Shuo Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuo Qin

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

All Works

16 of 16 papers shown
# Work Indexed citations
1 5
2 0
3 1
4 7
5 3
6 30
7 19
8 5
9 9
10 15
11 19
12 26
13 70
14 36
15 18
16 65

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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2026