Anna Liu
- Information Systems top 0.5%
- Computer Networks and Communications top 1%
- Artificial Intelligence top 5%
- Management Information Systems top 5%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Kevin LeeSherif SakrJacky KeungDaniel Macêdo BatistaMohammad AlomariAlan FeketeLiang ZhaoIan Gorton
- Topics
- Cloud Computing and Resource Management (32 papers)Software System Performance and Reliability (28 papers)Distributed systems and fault tolerance (13 papers)
- Partner nations
- AustraliaUnited StatesChina
In The Last Decade
Anna Liu
61 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Information Systems 1.3k
- Computer Networks and Communications 1.3k
- Artificial Intelligence 379
- Management Information Systems 119
- Computer Vision and Pattern Recognition 101
Countries citing papers authored by Anna Liu
This map shows the geographic impact of Anna Liu'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 Anna Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Liu more than expected).
Fields of papers citing papers by Anna Liu
This network shows the impact of papers produced by Anna Liu. 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 Anna Liu. The network helps show where Anna Liu may publish in the future.
Co-authorship network of co-authors of Anna Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Anna Liu. A scholar is included among the top collaborators of Anna Liu 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 Anna Liu. Anna Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 14 | |
| 5 | 54 | |
| 6 | 6 | |
| 7 | 14 | |
| 8 | Service-Oriented Infrastructure: On-Premise and in the Cloud | 0 |
| 9 | Supporting undoability in systems operations | 9 |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | Automatic undo for cloud management via AI planning | 11 |
| 14 | Data Consistency Properties and the Trade-offs in Commercial Cloud Storages: the Consumers' Perspective | 84 |
| 15 | 5 | |
| 16 | 20 | |
| 17 | An empirical study into adaptive resource provisioning in the cloud | 10 |
| 18 | 18 | |
| 19 | 14 | |
| 20 | Comparing industry benchmarks for J2EE application server: IBM's trade2 vs Sun's ECperf | 4 |
About Anna Liu
Anna Liu is a scholar working on Information Systems, Computer Networks and Communications and Software, having authored 64 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (32 papers), Software System Performance and Reliability (28 papers) and Distributed systems and fault tolerance (13 papers). The work is most often cited by research in Information Systems (1.3k citations), Computer Networks and Communications (1.3k citations) and Software (52 citations). Anna Liu has collaborated with scholars based in Australia, United States and China. Frequent co-authors include Kevin Lee, Sherif Sakr, Jacky Keung, Daniel Macêdo Batista, Mohammad Alomari, Alan Fekete, Liang Zhao, Ian Gorton, Ayman G. Fayoumi and Hiroshi Wada. Their work appears in journals such as IEEE Communications Surveys & Tutorials, Journal of Dairy Science and ACM Computing Surveys.
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.