Xianping Qu
Impact in
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- Software System Performance and Reliability
- Network Security and Intrusion Detection
- Software top 10%
- Software Reliability and Analysis Research
Papers in
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- Software System Performance and Reliability 9
- Network Security and Intrusion Detection 3
- Software-Defined Networks and 5G 2
- Caching and Content Delivery 1
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- Cloud Computing and Resource Management 4
- Software Engineering Research 2
- Service-Oriented Architecture and Web Services 1
- Co-authors
- Dan Pei (9 shared papers)Shenglin Zhang (8 shared papers)Ying Liu (6 shared papers)Yu Chen (5 shared papers)Jun Jim Xu (5 shared papers)Hui Fen Dong (5 shared papers)Weibin Meng (5 shared papers)Sen Yang (5 shared papers)
- Journals
- ACM SIGMETRICS Performance Evaluation Review (2 papers)IEEE Access (1 paper)IEEE Transactions on Services Computing (1 paper)Proceedings of the ACM on Measurement and Analysis of Computing Systems (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Xianping Qu
10 papers receiving 332 citations
Peers
Comparison fields: 5 of 28
- Computer Networks and Communications 295
- Software 48
- Information Systems 132
- Artificial Intelligence 162
- Signal Processing 31
Countries citing papers authored by Xianping Qu
This map shows the geographic impact of Xianping 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 Xianping Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xianping Qu more than expected).
Fields of papers citing papers by Xianping Qu
This network shows the impact of papers produced by Xianping 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 Xianping Qu. The network helps show where Xianping Qu may publish in the future.
Co-authors
The 23 scholars most cited alongside Xianping 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 | 2017 | 77 | |
| 2 | 2018 | 53 | |
| 3 | 2018 | 51 | |
| 4 | 2018 | 48 | |
| 5 | 2015 | 47 | |
| 6 | 2016 | 42 | |
| 7 | 2016 | 17 | |
| 8 | Next Generation of DevOps: AIOps in Practice @Baidu | 2017 | 2 |
| 9 | 2019 | 1 | |
| 10 | 2018 | 1 |
About Xianping Qu
Xianping Qu is a scholar working on Computer Networks and Communications, Information Systems, Software, Information Systems and Management and Artificial Intelligence, having authored 10 papers that have together received 339 indexed citations. Recurring topics across this work include Software System Performance and Reliability (9 papers), Cloud Computing and Resource Management (4 papers), Network Security and Intrusion Detection (3 papers), Software Engineering Research (2 papers), Software-Defined Networks and 5G (2 papers), Caching and Content Delivery (1 paper), Service-Oriented Architecture and Web Services (1 paper) and Data Stream Mining Techniques (1 paper). The work is most often cited by research in Computer Networks and Communications (295 citations), Software (48 citations), Information Systems (132 citations), Artificial Intelligence (162 citations) and Signal Processing (31 citations). Xianping Qu has collaborated with scholars based in China and United States. Frequent co-authors include Dan Pei, Shenglin Zhang, Ying Liu, Yu Chen, Jun Jim Xu, Hui Fen Dong, Weibin Meng, Sen Yang, Shimin Tao and Yu Chen. Their work appears in journals such as ACM SIGMETRICS Performance Evaluation Review, IEEE Access, IEEE Transactions on Services Computing and Proceedings of the ACM on Measurement and Analysis of Computing 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.