Lie Qu
Impact in
- Information Systems top 2%
- Blockchain Technology Applications and Security
- Cloud Computing and Resource Management
- Cloud Data Security Solutions
- Service-Oriented Architecture and Web Services
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- IoT and Edge/Fog Computing
- Caching and Content Delivery
Papers in
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- Cloud Computing and Resource Management 5
- Blockchain Technology Applications and Security 2
- Service-Oriented Architecture and Web Services 2
- Recommender Systems and Techniques 2
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- Caching and Content Delivery 4
- Software System Performance and Reliability 1
- Co-authors
- Yan Wang (6 shared papers)Mehmet A. Orgun (6 shared papers)Binqiang Zhao (1 shared paper)Rongfei Jia (1 shared paper)Lei Li (1 shared paper)Athman Bouguettaya (4 shared papers)Ling Liu (2 shared papers)Huan Liu (1 shared paper)
- Journals
- IEEE Transactions on Services Computing (2 papers)ACM Transactions on Internet Technology (1 paper)Adaptive Agents and Multi-Agents Systems (2 papers)
- Partner nations
- AustraliaUnited StatesChina
In The Last Decade
Lie Qu
8 papers receiving 448 citations
Peers
Comparison fields: 5 of 57
- Information Systems 276
- Computer Networks and Communications 187
- Artificial Intelligence 189
- Computer Vision and Pattern Recognition 64
- Computer Science Applications 17
Countries citing papers authored by Lie Qu
This map shows the geographic impact of Lie Qu'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 Lie Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lie Qu more than expected).
Fields of papers citing papers by Lie Qu
This network shows the impact of papers produced by Lie Qu. 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 Lie Qu. The network helps show where Lie Qu may publish in the future.
Co-authors
The 10 scholars most cited alongside Lie Qu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 170 | |
| 2 | 2018 | 158 | |
| 3 | 2013 | 71 | |
| 4 | 2015 | 41 | |
| 5 | 2014 | 11 | |
| 6 | 2014 | 5 | |
| 7 | 2021 | 1 | |
| 8 | 2016 | 1 |
About Lie Qu
Lie Qu is a scholar working on Information Systems, Computer Networks and Communications, Artificial Intelligence, Statistical and Nonlinear Physics and Infectious Diseases, having authored 8 papers that have together received 458 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (5 papers), Caching and Content Delivery (4 papers), Cryptography and Data Security (2 papers), Blockchain Technology Applications and Security (2 papers), Service-Oriented Architecture and Web Services (2 papers), Recommender Systems and Techniques (2 papers), Imbalanced Data Classification Techniques (1 paper) and Software System Performance and Reliability (1 paper). The work is most often cited by research in Information Systems (276 citations), Computer Networks and Communications (187 citations), Artificial Intelligence (189 citations), Computer Vision and Pattern Recognition (64 citations) and Computer Science Applications (17 citations). Lie Qu has collaborated with scholars based in Australia, United States and China. Frequent co-authors include Yan Wang, Mehmet A. Orgun, Binqiang Zhao, Rongfei Jia, Lei Li, Athman Bouguettaya, Ling Liu, Huan Liu, Ling Liu and Sajib Mistry. Their work appears in journals such as IEEE Transactions on Services Computing, ACM Transactions on Internet Technology and Adaptive Agents and Multi-Agents Systems.
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.