Xiaoning Du
Impact in
- Software top 2%
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
- Signal Processing top 5%
- Advanced Malware Detection Techniques
Papers in
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- Adversarial Robustness in Machine Learning 8
- Topic Modeling 3
- Machine Learning and Data Classification 3
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- Software Engineering Research 8
- Co-authors
- Yang Liu (8 shared papers)Xiaofei Xie (7 shared papers)Lei Ma (5 shared papers)Jianjun Zhao (4 shared papers)Yi Li (3 shared papers)Li Li (10 shared papers)Shangqing Liu (2 shared papers)Yugeng Xi (2 shared papers)
In The Last Decade
Xiaoning Du
35 papers receiving 562 citations
Peers
Comparison fields: 5 of 71
- Software 158
- Signal Processing 110
- Artificial Intelligence 264
- Information Systems 185
- Control and Systems Engineering 87
Countries citing papers authored by Xiaoning Du
This map shows the geographic impact of Xiaoning Du'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 Xiaoning Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoning Du more than expected).
Fields of papers citing papers by Xiaoning Du
This network shows the impact of papers produced by Xiaoning Du. 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 Xiaoning Du. The network helps show where Xiaoning Du may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoning Du, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 109 | |
| 2 | 2012 | 80 | |
| 3 | 2019 | 77 | |
| 4 | 2020 | 51 | |
| 5 | 2022 | 49 | |
| 6 | 2001 | 47 | |
| 7 | 2022 | 33 | |
| 8 | 2021 | 30 | |
| 9 | 2021 | 12 | |
| 10 | 2025 | 10 | |
| 11 | 2016 | 10 | |
| 12 | 2019 | 9 | |
| 13 | 2024 | 9 | |
| 14 | 2023 | 6 | |
| 15 | 2023 | 5 | |
| 16 | 2024 | 5 | |
| 17 | 2019 | 4 | |
| 18 | 2024 | 3 | |
| 19 | 2020 | 3 | |
| 20 | 2024 | 2 |
About Xiaoning Du
Xiaoning Du is a scholar working on Artificial Intelligence, Information Systems, Signal Processing, Software and Hardware and Architecture, having authored 40 papers that have together received 574 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (12 papers), Adversarial Robustness in Machine Learning (8 papers), Software Engineering Research (8 papers), Software Testing and Debugging Techniques (7 papers), Parallel Computing and Optimization Techniques (4 papers), Advanced Neural Network Applications (3 papers), Topic Modeling (3 papers) and Machine Learning and Data Classification (3 papers). The work is most often cited by research in Software (158 citations), Signal Processing (110 citations), Artificial Intelligence (264 citations), Information Systems (185 citations) and Control and Systems Engineering (87 citations). Xiaoning Du has collaborated with scholars based in China, Australia and Singapore. Frequent co-authors include Yang Liu, Xiaofei Xie, Lei Ma, Jianjun Zhao, Yi Li, Li Li, Shangqing Liu, Yugeng Xi, Yaqin Zhou and Jing Kai Siow. Their work appears in journals such as ACM Transactions on Software Engineering and Methodology, Information and Software Technology, IEEE Transactions on Smart Grid, IEEE Transactions on Dependable and Secure Computing and Frontiers in Nutrition.
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.