Xiangyu Wang

42 total papers · 602 total citations
30 papers, 375 citations indexed

About

Xiangyu Wang is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xiangyu Wang has authored 30 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 8 papers in Information Systems and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xiangyu Wang's work include Cryptography and Data Security (20 papers), Privacy-Preserving Technologies in Data (20 papers) and Complexity and Algorithms in Graphs (4 papers). Xiangyu Wang is often cited by papers focused on Cryptography and Data Security (20 papers), Privacy-Preserving Technologies in Data (20 papers) and Complexity and Algorithms in Graphs (4 papers). Xiangyu Wang collaborates with scholars based in China, Singapore and Canada. Xiangyu Wang's co-authors include Jianfeng Ma, Yinbin Miao, Ximeng Liu, Robert H. Deng, Zhuoran Ma, Dan Zhu, Ruikang Yang, Kim‐Kwang Raymond Choo, Dengguo Feng and Rongxing Lu and has published in prestigious journals such as Information Sciences, IEEE Internet of Things Journal and IEEE Transactions on Information Forensics and Security.

In The Last Decade

Xiangyu Wang

26 papers receiving 368 citations

Author Peers

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

Author Last Decade Papers Cites
Xiangyu Wang 285 94 83 81 53 30 375
Shangqi Lai 338 1.2× 126 1.3× 71 0.9× 72 0.9× 57 1.1× 22 379
Yuanfei Dai 273 1.0× 57 0.6× 75 0.9× 44 0.5× 53 1.0× 18 405
Anup Rao 269 0.9× 68 0.7× 84 1.0× 62 0.8× 94 1.8× 27 409
Toshinori Araki 327 1.1× 65 0.7× 46 0.6× 98 1.2× 97 1.8× 19 402
E. J. Yannakoudakis 257 0.9× 116 1.2× 71 0.9× 57 0.7× 24 0.5× 31 373
Aseem Rastogi 398 1.4× 113 1.2× 23 0.3× 72 0.9× 61 1.2× 18 444
Oded Padon 216 0.8× 62 0.7× 79 1.0× 133 1.6× 122 2.3× 28 382
Kazuma Ohara 328 1.2× 74 0.8× 40 0.5× 43 0.5× 106 2.0× 17 362
Helger Lipmaa 301 1.1× 82 0.9× 87 1.0× 98 1.2× 33 0.6× 22 367
Antonio Fariña 248 0.9× 66 0.7× 104 1.3× 108 1.3× 37 0.7× 42 338

Countries citing papers authored by Xiangyu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiangyu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiangyu Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiangyu Wang. A scholar is included among the top collaborators of Xiangyu 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 Xiangyu Wang. Xiangyu 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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