Xiaoyuan Xie
- Software top 0.5%
- Information Systems top 0.5%
- Computer Networks and Communications top 5%
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Co-authors
- Tsong Yueh ChenBaowen XuJoshua W. K. HoFei‐Ching KuoGail E. KaiserChristian MurphyHuai LiuW. Eric Wong
- Topics
- Software Testing and Debugging Techniques (37 papers)Software Engineering Research (30 papers)Software System Performance and Reliability (21 papers)
- Journals
- SHILAP Revista de lepidopterologíaBMC BioinformaticsIEEE Transactions on Software Engineering
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Xiaoyuan Xie
67 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Software 1.0k
- Information Systems 814
- Computer Networks and Communications 377
- Artificial Intelligence 353
- Signal Processing 120
Countries citing papers authored by Xiaoyuan Xie
This map shows the geographic impact of Xiaoyuan Xie'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 Xiaoyuan Xie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoyuan Xie more than expected).
Fields of papers citing papers by Xiaoyuan Xie
This network shows the impact of papers produced by Xiaoyuan Xie. 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 Xiaoyuan Xie. The network helps show where Xiaoyuan Xie may publish in the future.
Co-authorship network of co-authors of Xiaoyuan Xie
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyuan Xie. A scholar is included among the top collaborators of Xiaoyuan Xie 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 Xiaoyuan Xie. Xiaoyuan Xie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 6 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 7 | |
| 13 | 4 | |
| 14 | 2 | |
| 15 | 6 | |
| 16 | An Approach of Iterative Partition Testing Based on Priority Sampling | 3 |
| 17 | 4 | |
| 18 | Testing and validating machine learning classifiers by metamorphic testingbreakdown → | 271 |
| 19 | 120 | |
| 20 | 73 |
About Xiaoyuan Xie
Xiaoyuan Xie is a scholar working on Software, Information Systems and Computer Networks and Communications, having authored 69 papers that have together received 1.5k indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (37 papers), Software Engineering Research (30 papers) and Software System Performance and Reliability (21 papers). The work is most often cited by research in Software (1.0k citations), Information Systems (814 citations) and Computer Networks and Communications (377 citations). Xiaoyuan Xie has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Tsong Yueh Chen, Baowen Xu, Joshua W. K. Ho, Fei‐Ching Kuo, Gail E. Kaiser, Christian Murphy, Huai Liu, W. Eric Wong, Pak‐Lok Poon and Jifeng Xuan. Their work appears in journals such as SHILAP Revista de lepidopterología, BMC Bioinformatics and IEEE Transactions on Software Engineering.
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.