Chun Hui Suen
- Information Systems top 5%
- Computer Networks and Communications top 5%
- Information Systems and Management top 10%
- Artificial Intelligence
- Hardware and Architecture top 10%
- Co-authors
- Bu‐Sung LeeAbhishek GuptaPaolo FaraboschiVerdi MarchFilippo GioachinDejan MilojičićLaxmikant V. KaléRichard Kaufmann
- Topics
- Cloud Computing and Resource Management (4 papers)Advanced Data Storage Technologies (4 papers)Distributed and Parallel Computing Systems (3 papers)
- Journals
- IEEE Transactions on Cloud ComputingQueensland's institutional digital repository (The University of Queensland)
- Partner nations
- United StatesBulgariaSingapore
In The Last Decade
Chun Hui Suen
10 papers receiving 261 citations
Peers
Comparison fields: 5 of 37
- Information Systems 224
- Computer Networks and Communications 170
- Information Systems and Management 57
- Artificial Intelligence 52
- Hardware and Architecture 39
Countries citing papers authored by Chun Hui Suen
This map shows the geographic impact of Chun Hui Suen'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 Chun Hui Suen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun Hui Suen more than expected).
Fields of papers citing papers by Chun Hui Suen
This network shows the impact of papers produced by Chun Hui Suen. 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 Chun Hui Suen. The network helps show where Chun Hui Suen may publish in the future.
Co-authorship network of co-authors of Chun Hui Suen
This figure shows the co-authorship network connecting the top 25 collaborators of Chun Hui Suen. A scholar is included among the top collaborators of Chun Hui Suen 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 Chun Hui Suen. Chun Hui Suen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 46 | |
| 2 | 59 | |
| 3 | 48 | |
| 4 | 37 | |
| 5 | The who, what, why and how of high performance computing applications in the cloud | 18 |
| 6 | 20 | |
| 7 | 14 | |
| 8 | How to track your data: Rule-based data provenance tracing algorithms | 4 |
| 9 | 26 | |
| 10 | 3 |
About Chun Hui Suen
Chun Hui Suen is a scholar working on Information Systems, Information Systems and Management and Computer Networks and Communications, having authored 10 papers that have together received 275 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (4 papers), Advanced Data Storage Technologies (4 papers) and Distributed and Parallel Computing Systems (3 papers). The work is most often cited by research in Information Systems (224 citations), Information Systems and Management (57 citations) and Computer Networks and Communications (170 citations). Chun Hui Suen has collaborated with scholars based in United States, Bulgaria and Singapore. Frequent co-authors include Bu‐Sung Lee, Abhishek Gupta, Paolo Faraboschi, Verdi March, Filippo Gioachin, Dejan Milojičić, Laxmikant V. Kalé, Richard Kaufmann, Ryan K. L. Ko and Peter Jagadpramana. Their work appears in journals such as IEEE Transactions on Cloud Computing and Queensland's institutional digital repository (The University of Queensland).
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.