Ruey‐Kai Sheu

670 total citations
50 papers, 410 citations indexed

About

Ruey‐Kai Sheu is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Ruey‐Kai Sheu has authored 50 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Networks and Communications, 17 papers in Information Systems and 15 papers in Artificial Intelligence. Recurrent topics in Ruey‐Kai Sheu's work include Cloud Computing and Resource Management (7 papers), Video Surveillance and Tracking Methods (6 papers) and Advanced Data Storage Technologies (5 papers). Ruey‐Kai Sheu is often cited by papers focused on Cloud Computing and Resource Management (7 papers), Video Surveillance and Tracking Methods (6 papers) and Advanced Data Storage Technologies (5 papers). Ruey‐Kai Sheu collaborates with scholars based in Taiwan, United States and Yemen. Ruey‐Kai Sheu's co-authors include Shyan‐Ming Yuan, Lun-Chi Chen, Yue‐Shan Chang, Win‐Tsung Lo, Kai-Chih Pai, Chia‐Feng Lin, Chieh‐Liang Wu, Chia‐Yu Chen, Wei-Cheng Chen and Xiaolong Liu and has published in prestigious journals such as IEEE Access, Sensors and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Ruey‐Kai Sheu

44 papers receiving 398 citations

Peers

Ruey‐Kai Sheu
Comparison fields: 5 of 107
  • Artificial Intelligence 140
  • Information Systems 113
  • Computer Networks and Communications 79
  • Computer Vision and Pattern Recognition 73
  • Health Informatics 43
Replace Chandramohan Dhasarathan with:
Chandramohan Dhasarathan India
Amal Al‐Rasheed Saudi Arabia
Areej Alasiry Saudi Arabia
Omar Ibrahim Obaid Iraq
Ruidi Chen United States
Yi Zhuang China
Nima Jafari Navimipour Taiwan
Nadia Burkart Germany
Mohaimenul Azam Khan Raiaan Bangladesh
Karan Aggarwal India
Chandramohan Dhasarathan India View profile →
Citations per field, relative to Ruey‐Kai Sheu
Ruey‐Kai Sheu · 1×
Citations per year, relative to Ruey‐Kai Sheu
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Countries citing papers authored by Ruey‐Kai Sheu

Since Specialization
Citations

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

Fields of papers citing papers by Ruey‐Kai Sheu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ruey‐Kai Sheu. 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 Ruey‐Kai Sheu. The network helps show where Ruey‐Kai Sheu may publish in the future.

Co-authorship network of co-authors of Ruey‐Kai Sheu

This figure shows the co-authorship network connecting the top 25 collaborators of Ruey‐Kai Sheu. A scholar is included among the top collaborators of Ruey‐Kai Sheu 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 Ruey‐Kai Sheu. Ruey‐Kai Sheu 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
2 0
3 4
4 29
5 55
6 9
7 10
8 6
9 2
10 32
11 3
12 5
13 2
14 6
15 3
16
The Practice of Two-Phase Recommender System for Sporting Goods
3
17 2
18 3
19 0
20
When Java Applet Meets Object Database.
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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