Guang Xiang

41 total papers · 1.3k total citations
18 papers, 836 citations indexed

About

Guang Xiang is a scholar working on Information Systems, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Guang Xiang has authored 18 papers receiving a total of 836 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Information Systems, 8 papers in Artificial Intelligence and 6 papers in Signal Processing. Recurrent topics in Guang Xiang's work include Spam and Phishing Detection (4 papers), Advanced Malware Detection Techniques (4 papers) and Topic Modeling (3 papers). Guang Xiang is often cited by papers focused on Spam and Phishing Detection (4 papers), Advanced Malware Detection Techniques (4 papers) and Topic Modeling (3 papers). Guang Xiang collaborates with scholars based in United States, China and Portugal. Guang Xiang's co-authors include Jason Hong, Carolyn Penstein Rosé, Lorrie Faith Cranor, Ling Wang, Bin Fan, Alexander G. Hauptmann, Lu Jiang, Jialiu Lin, Norman Sadeh and Ling Wang and has published in prestigious journals such as ACM Transactions on Information and System Security, Security and Communication Networks and Meeting of the Association for Computational Linguistics.

In The Last Decade

Guang Xiang

17 papers receiving 771 citations

Hit Papers

CANTINA+ 2011 2026 2016 2021 2011 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Guang Xiang 531 450 379 134 127 18 836
Jamal Abdul Nasir 345 0.6× 429 1.0× 179 0.5× 134 1.0× 256 2.0× 25 788
Judy Bateman 701 1.3× 315 0.7× 132 0.3× 96 0.7× 83 0.7× 12 935
Steven M. Beitzel 606 1.1× 500 1.1× 137 0.4× 120 0.9× 47 0.4× 36 886
Larry Stead 614 1.2× 302 0.7× 136 0.4× 171 1.3× 191 1.5× 10 991
Steven Englehardt 463 0.9× 465 1.0× 241 0.6× 90 0.7× 449 3.5× 13 825
Brian Amento 541 1.0× 320 0.7× 131 0.3× 153 1.1× 158 1.2× 24 1.0k
Nadav Golbandi 476 0.9× 319 0.7× 180 0.5× 90 0.7× 77 0.6× 14 826
Ian Fette 517 1.0× 381 0.8× 254 0.7× 297 2.2× 279 2.2× 8 926
Chumki Basu 621 1.2× 304 0.7× 126 0.3× 123 0.9× 94 0.7× 22 807
Eric C. Jensen 605 1.1× 499 1.1× 135 0.4× 116 0.9× 47 0.4× 47 967

Countries citing papers authored by Guang Xiang

Since Specialization
Citations

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

Fields of papers citing papers by Guang Xiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guang Xiang

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