Xinyu Xing
- Signal Processing top 1%
- Advanced Malware Detection Techniques 41
- Software top 2%
- Software Testing and Debugging Techniques 14
- Information Systems top 1%
- Spam and Phishing Detection 10
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- Network Security and Intrusion Detection 15
- Wireless Networks and Protocols 9
- Artificial Intelligence top 1%
- Security and Verification in Computing 18
- Adversarial Robustness in Machine Learning 12
- Internet Traffic Analysis and Secure E-voting 8
- Partner nations
- United StatesChinaCanada
In The Last Decade
Xinyu Xing
101 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 105
- Signal Processing 750
- Software 261
- Information Systems 742
- Computer Networks and Communications 732
- Artificial Intelligence 942
Countries citing papers authored by Xinyu Xing
This map shows the geographic impact of Xinyu Xing'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 Xinyu Xing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinyu Xing more than expected).
Fields of papers citing papers by Xinyu Xing
This network shows the impact of papers produced by Xinyu Xing. 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 Xinyu Xing. The network helps show where Xinyu Xing may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xinyu Xing, 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 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 7 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 19 | |
| 6 | Adversarial Policy Learning in Two-player Competitive Games | 2021 | 5 |
| 7 | Adversarial Policy Training against Deep Reinforcement Learning | 2021 | 3 |
| 8 | EDGE: Explaining Deep Reinforcement Learning Policies | 2021 | 13 |
| 9 | RNNRepair: Automatic RNN Repair via Model-based Analysis | 2021 | 2 |
| 10 | Robust saliency maps with decoy-enhanced saliency score. | 2020 | 1 |
| 11 | BScout: Direct whole patch presence test for Java executables | 2020 | 12 |
| 12 | {BigMAC}: {Fine-Grained} Policy Analysis of Android Firmware | 2020 | 8 |
| 13 | All Your Clicks Belong to Me: Investigating Click Interception on the Web | 2019 | 7 |
| 14 | A Comparison of Rule Extraction for Different Recurrent Neural Network Models and Grammatical Complexity. | 2018 | 6 |
| 15 | {FUZE}: Towards Facilitating Exploit Generation for Kernel Use-After-Free Vulnerabilities | 2018 | 30 |
| 16 | Postmortem Program Analysis with Hardware-Enhanced Post-Crash Artifacts. | 2017 | 18 |
| 17 | Using Non-invertible Data Transformations to Build Adversary-Resistant Deep Neural Networks. | 2016 | 2 |
| 18 | Random Feature Nullification for Adversary Resistant Deep Architecture. | 2016 | 3 |
| 19 | 2015 | 9 | |
| 20 | 2012 | 2 |
About Xinyu Xing
Xinyu Xing is a scholar working on Signal Processing, Software and Computer Networks and Communications, having authored 103 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (41 papers), Security and Verification in Computing (18 papers), Network Security and Intrusion Detection (15 papers), Software Testing and Debugging Techniques (14 papers), Adversarial Robustness in Machine Learning (12 papers), Spam and Phishing Detection (10 papers), Wireless Networks and Protocols (9 papers) and Internet Traffic Analysis and Secure E-voting (8 papers). The work is most often cited by research in Signal Processing (750 citations), Software (261 citations) and Information Systems (742 citations). Xinyu Xing has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Wenbo Guo, Jun Xu, Dongliang Mu, Shivakant Mishra, Yueqi Chen, Qin Lv, Richard Han, Mike Gartrell, Aaron Beach and Karim Seada.
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.