Chee Shin Yeo
- Information Systems top 0.05%
- Computer Networks and Communications top 0.2%
- Artificial Intelligence top 2%
- Information Systems and Management top 1%
- Management Information Systems top 2%
- Co-authors
- Rajkumar BuyyaSrikumar VenugopalJames BrobergIvona BrandićArun AnandasivamSaurabh GargAnthony SulistioJinshu Su
- Topics
- Distributed and Parallel Computing Systems (13 papers)Cloud Computing and Resource Management (12 papers)Distributed systems and fault tolerance (5 papers)
In The Last Decade
Chee Shin Yeo
16 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Information Systems 3.7k
- Computer Networks and Communications 3.2k
- Artificial Intelligence 575
- Information Systems and Management 419
- Management Information Systems 359
Countries citing papers authored by Chee Shin Yeo
This map shows the geographic impact of Chee Shin Yeo'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 Chee Shin Yeo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chee Shin Yeo more than expected).
Fields of papers citing papers by Chee Shin Yeo
This network shows the impact of papers produced by Chee Shin Yeo. 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 Chee Shin Yeo. The network helps show where Chee Shin Yeo may publish in the future.
Co-authorship network of co-authors of Chee Shin Yeo
This figure shows the co-authorship network connecting the top 25 collaborators of Chee Shin Yeo. A scholar is included among the top collaborators of Chee Shin Yeo 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 Chee Shin Yeo. Chee Shin Yeo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 10 | |
| 3 | 2 | |
| 4 | 110 | |
| 5 | 1 | |
| 6 | 200 | |
| 7 | 5 | |
| 8 | 72 | |
| 9 | Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utilitybreakdown → | 3837 |
| 10 | 9 | |
| 11 | 22 | |
| 12 | 58 | |
| 13 | 58 | |
| 14 | 13 | |
| 15 | 83 | |
| 16 | 92 |
About Chee Shin Yeo
Chee Shin Yeo is a scholar working on Computer Networks and Communications, Information Systems and Hardware and Architecture, having authored 16 papers that have together received 4.6k indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (13 papers), Cloud Computing and Resource Management (12 papers) and Distributed systems and fault tolerance (5 papers). The work is most often cited by research in Information Systems (3.7k citations), Computer Networks and Communications (3.2k citations) and Information Systems and Management (419 citations). Chee Shin Yeo has collaborated with scholars based in Australia, China and Singapore. Frequent co-authors include Rajkumar Buyya, Srikumar Venugopal, James Broberg, Ivona Brandić, Arun Anandasivam, Saurabh Garg, Anthony Sulistio, Jinshu Su, Xiaofeng Wang and Xingchen Chu. Their work appears in journals such as Future Generation Computer Systems, Journal of Parallel and Distributed Computing and Software Practice and Experience.
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.