Fang Yu

75 total papers · 2.1k total citations
54 papers, 1.5k citations indexed

About

Fang Yu is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Fang Yu has authored 54 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 23 papers in Information Systems and 20 papers in Computer Networks and Communications. Recurrent topics in Fang Yu's work include Spam and Phishing Detection (18 papers), Network Security and Intrusion Detection (18 papers) and Internet Traffic Analysis and Secure E-voting (13 papers). Fang Yu is often cited by papers focused on Spam and Phishing Detection (18 papers), Network Security and Intrusion Detection (18 papers) and Internet Traffic Analysis and Secure E-voting (13 papers). Fang Yu collaborates with scholars based in China, United States and India. Fang Yu's co-authors include Yinglian Xie, Kannan Achan, Geoff Hulten, Rina Panigrahy‎, Ivan Osipkov, Martı́n Abadi, Zhou Li, Xiaofeng Wang, Qifa Ke and Kehuan Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Vaccine.

In The Last Decade

Fang Yu

50 papers receiving 1.4k citations

Author Peers

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

Author Last Decade Papers Cites
Fang Yu 871 849 824 520 147 54 1.5k
Stefan Axelsson 499 0.6× 849 1.0× 1.0k 1.2× 649 1.2× 73 0.5× 60 1.7k
Luciano Barbosa 727 0.8× 942 1.1× 361 0.4× 187 0.4× 71 0.5× 62 1.6k
Pasquale Malacaria 376 0.4× 722 0.9× 488 0.6× 522 1.0× 52 0.4× 56 1.1k
Ηλίας Αθανασόπουλος 510 0.6× 997 1.2× 489 0.6× 869 1.7× 135 0.9× 54 1.4k
Mirco Marchetti 486 0.6× 772 0.9× 1.2k 1.5× 616 1.2× 38 0.3× 85 1.8k
Eric Wustrow 319 0.4× 828 1.0× 687 0.8× 368 0.7× 84 0.6× 29 1.1k
T-H. Hubert Chan 253 0.3× 875 1.0× 264 0.3× 106 0.2× 68 0.5× 71 1.3k
Li‐Hua Gong 411 0.5× 1.0k 1.2× 531 0.6× 160 0.3× 94 0.6× 69 1.8k
Masoom Alam 690 0.8× 464 0.5× 495 0.6× 131 0.3× 115 0.8× 62 1.2k
Juan Carlos De Martin 541 0.6× 286 0.3× 650 0.8× 431 0.8× 82 0.6× 87 1.5k

Countries citing papers authored by Fang Yu

Since Specialization
Citations

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

Fields of papers citing papers by Fang Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fang Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Fang Yu. A scholar is included among the top collaborators of Fang Yu 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 Fang Yu. Fang Yu 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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2026