Xueyang Wang

43 total papers · 1.1k total citations
27 papers, 707 citations indexed

About

Xueyang Wang is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xueyang Wang has authored 27 papers receiving a total of 707 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 9 papers in Signal Processing and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xueyang Wang's work include Security and Verification in Computing (7 papers), Advanced Malware Detection Techniques (7 papers) and Network Security and Intrusion Detection (4 papers). Xueyang Wang is often cited by papers focused on Security and Verification in Computing (7 papers), Advanced Malware Detection Techniques (7 papers) and Network Security and Intrusion Detection (4 papers). Xueyang Wang collaborates with scholars based in China, United States and United Arab Emirates. Xueyang Wang's co-authors include Ramesh Karri, Michail Maniatakos, Charalambos Konstantinou, Lucas Davi, Stephen McLaughlin, Ahmad‐Reza Sadeghi, Sateesh Addepalli, Sek Chai, Michael Isnardi and Sehoon Lim and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Proceedings of the IEEE and Cerebral Cortex.

In The Last Decade

Xueyang Wang

24 papers receiving 679 citations

Hit Papers

The Cybersecurity Landsca... 2016 2026 2019 2022 2016 50 100 150 200

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Xueyang Wang 336 305 284 226 165 27 707
Eric Liang 284 0.8× 150 0.5× 280 1.0× 70 0.3× 59 0.4× 19 703
Yufei Chen 243 0.7× 172 0.6× 231 0.8× 64 0.3× 76 0.5× 58 895
Eyal Ronen 364 1.1× 291 1.0× 352 1.2× 53 0.2× 76 0.5× 22 706
Arsalan Mosenia 162 0.5× 242 0.8× 468 1.6× 60 0.3× 45 0.3× 12 755
Taimin Zhang 427 1.3× 372 1.2× 150 0.5× 50 0.2× 53 0.3× 17 721
A.K. Majumdar 230 0.7× 297 1.0× 295 1.0× 26 0.1× 109 0.7× 69 795
İsmail Arı 176 0.5× 144 0.5× 445 1.6× 40 0.2× 51 0.3× 60 764
Denis Foo Kune 220 0.7× 164 0.5× 305 1.1× 59 0.3× 88 0.5× 17 653
Venkata P. Yanambaka 124 0.4× 100 0.3× 312 1.1× 46 0.2× 190 1.2× 49 750
Kutub Thakur 213 0.6× 235 0.8× 296 1.0× 74 0.3× 19 0.1× 48 713

Countries citing papers authored by Xueyang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xueyang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xueyang Wang

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

All Works

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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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