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).
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 of co-authors of Xinyu Xing
This figure shows the co-authorship network connecting the top 25 collaborators of Xinyu Xing.
A scholar is included among the top collaborators of Xinyu Xing 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 Xinyu Xing. Xinyu Xing is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Meng, Wei, et al.. (2019). All Your Clicks Belong to Me: Investigating Click Interception on the Web. USENIX Security Symposium. 941–957.7 indexed citations
14.
Wang, Qinglong, Kaixuan Zhang, Alexander G. Ororbia, et al.. (2018). A Comparison of Rule Extraction for Different Recurrent Neural Network Models and Grammatical Complexity.. arXiv (Cornell University).6 indexed citations
15.
Wu, Wei, Yueqi Chen, Jun Xu, et al.. (2018). {FUZE}: Towards Facilitating Exploit Generation for Kernel Use-After-Free Vulnerabilities. USENIX Security Symposium. 781–797.30 indexed citations
16.
Xu, Jun, Dongliang Mu, Xinyu Xing, et al.. (2017). Postmortem Program Analysis with Hardware-Enhanced Post-Crash Artifacts.. USENIX Security Symposium. 17–32.18 indexed citations
17.
Wang, Qinglong, Wenbo Guo, Alexander G. Ororbia, et al.. (2016). Using Non-invertible Data Transformations to Build Adversary-Resistant Deep Neural Networks.. arXiv (Cornell University).2 indexed citations
18.
Wang, Qinglong, et al.. (2016). Random Feature Nullification for Adversary Resistant Deep Architecture.. arXiv (Cornell University).3 indexed citations
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.