Xuebin Wang

594 total citations
37 papers, 353 citations indexed

About

Xuebin Wang is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Xuebin Wang has authored 37 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 19 papers in Computer Networks and Communications and 13 papers in Information Systems. Recurrent topics in Xuebin Wang's work include Internet Traffic Analysis and Secure E-voting (22 papers), Network Security and Intrusion Detection (16 papers) and Privacy-Preserving Technologies in Data (6 papers). Xuebin Wang is often cited by papers focused on Internet Traffic Analysis and Secure E-voting (22 papers), Network Security and Intrusion Detection (16 papers) and Privacy-Preserving Technologies in Data (6 papers). Xuebin Wang collaborates with scholars based in China, Canada and United States. Xuebin Wang's co-authors include Jinqiao Shi, Qingfeng Tan, Yue Gao, Binxing Fang, Zhihong Tian, Tingwen Liu, Shiyao Cui, Zhenyu Zhang, Bowen Yu and Can Zhao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemical Physics Letters and Nano Energy.

In The Last Decade

Xuebin Wang

33 papers receiving 342 citations

Peers

Xuebin Wang
Kelvin S. C. Yong Malaysia
Nicole Garner Germany
Peter van Rossum Netherlands
Fangcheng Fu China
Haonan Chen China
Bo Ning China
Yaochen Hu Canada
Xiaoyuan Liu United States
Shingo Ono Japan
Runqing Yang China
Kelvin S. C. Yong Malaysia
Xuebin Wang
Citations per year, relative to Xuebin Wang Xuebin Wang (= 1×) peers Kelvin S. C. Yong

Countries citing papers authored by Xuebin Wang

Since Specialization
Citations

This map shows the geographic impact of Xuebin Wang'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 Xuebin Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xuebin Wang more than expected).

Fields of papers citing papers by Xuebin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xuebin Wang. 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 Xuebin Wang. The network helps show where Xuebin Wang may publish in the future.

Co-authorship network of co-authors of Xuebin Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xuebin Wang. A scholar is included among the top collaborators of Xuebin Wang 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 Xuebin Wang. Xuebin Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sun, Zhipeng, et al.. (2024). Carbon materials for evaporation- and moisture-induced power generation. Nano Energy. 134. 110516–110516. 8 indexed citations
2.
Teng, Zhiyang, et al.. (2024). HSDirSniper: A New Attack Exploiting Vulnerabilities in Tor's Hidden Service Directories. 1812–1823. 2 indexed citations
3.
Wang, Xuebin, et al.. (2024). Knock-Knock: De-Anonymise Hidden Services by Exploiting Service Answer Vulnerability. 1–7. 1 indexed citations
4.
Wang, Xuebin, et al.. (2024). Analysis of the Impact of Energy Storage Access on Distribution Network Line Loss. 188–191. 1 indexed citations
5.
Huang, Wentao, Han‐Chieh Wu, Xin Xie, et al.. (2024). K8s-enhanced lightweight simulation method for the Tor network. SHILAP Revista de lepidopterología. 4. 2024024–2024024.
6.
Shi, Jinqiao, et al.. (2023). Evicting and filling attack for linking multiple network addresses of Bitcoin nodes. Cybersecurity. 6(1). 1 indexed citations
7.
Zhang, Xi, et al.. (2023). SPEFL: Efficient Security and Privacy-Enhanced Federated Learning Against Poisoning Attacks. IEEE Internet of Things Journal. 11(8). 13437–13451. 5 indexed citations
8.
Gao, Yue, et al.. (2021). Practical Deanonymization Attack in Ethereum Based on P2P Network Analysis. 1402–1409. 4 indexed citations
9.
10.
Cui, Shiyao, Bowen Yu, Tingwen Liu, et al.. (2020). Event Detection with Relation-Aware Graph Convolutional Neural Networks. arXiv (Cornell University). 4 indexed citations
11.
Cui, Shiyao, Bowen Yu, Tingwen Liu, et al.. (2020). Edge-Enhanced Graph Convolution Networks for Event Detection with Syntactic Relation. 2329–2339. 68 indexed citations
12.
13.
Wang, Xuebin, et al.. (2020). Napping Guard: Deanonymizing Tor Hidden Service in a Stealthy Way. 5 indexed citations
14.
Wang, Xuebin, et al.. (2019). SignalCookie: Discovering Guard Relays of Hidden Services in Parallel. 6 indexed citations
15.
Tan, Qingfeng, et al.. (2018). De-anonymizing Social Networks User via Profile Similarity. 9. 889–895. 10 indexed citations
16.
Gao, Yue, et al.. (2017). Large-scale discovery and empirical analysis for I2P eepSites. 444–449. 3 indexed citations
17.
Tan, Qingfeng, Jinqiao Shi, Binxing Fang, Wentao Zhang, & Xuebin Wang. (2015). StegoP2P: Oblivious user-driven unobservable communications. abs 1207 2683. 7126–7131. 2 indexed citations
18.
Tan, Qingfeng, et al.. (2015). Towards Measuring Unobservability in Anonymous Communication Systems. 52(10). 2373. 2 indexed citations
19.
Tan, Qingfeng, et al.. (2014). Empirical Measurement and Analysis of I2P Routers. Journal of Networks. 9(9). 12 indexed citations
20.
Wang, Xuebin, et al.. (1993). The vibrational quenching of NO (v = 1 – 11) by N2O studied by time-resolved Fourier transform infrared emission spectroscopy. Chemical Physics Letters. 208(3-4). 290–294. 12 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.

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