Yu Yao

95 total papers · 997 total citations
59 papers, 565 citations indexed

About

Yu Yao is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Yu Yao has authored 59 papers receiving a total of 565 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Computer Networks and Communications, 21 papers in Artificial Intelligence and 19 papers in Signal Processing. Recurrent topics in Yu Yao's work include Network Security and Intrusion Detection (38 papers), Advanced Malware Detection Techniques (19 papers) and Complex Network Analysis Techniques (13 papers). Yu Yao is often cited by papers focused on Network Security and Intrusion Detection (38 papers), Advanced Malware Detection Techniques (19 papers) and Complex Network Analysis Techniques (13 papers). Yu Yao collaborates with scholars based in China, United States and Japan. Yu Yao's co-authors include Georgios B. Giannakis, Fuxiang Gao, Hao Guo, Ge Yu, Xiaojun Tong, Stefan van Waasen, M. Schiek, Lei Guo, Yu Ge and Xiaoli Lin and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Yu Yao

49 papers receiving 543 citations

Author Peers

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

Author						Papers	Cites
Yu Yao	373	137	122	116	111	59	565
Qiying Cao	510 1.4×	110 0.8×	67 0.5×	85 0.7×	101 0.9×	50	683
Touraj Khodadadi	232 0.6×	74 0.5×	98 0.8×	32 0.3×	47 0.4×	38	538
Lei Liu	415 1.1×	107 0.8×	28 0.2×	97 0.8×	13 0.1×	44	591
Hong Shi	352 0.9×	145 1.1×	74 0.6×	24 0.2×	9 0.1×	59	641
Tao Wu	262 0.7×	156 1.1×	9 0.1×	124 1.1×	29 0.3×	80	565
Chiara Ravazzi	200 0.5×	97 0.7×	14 0.1×	218 1.9×	42 0.4×	61	561
Aresh Dadlani	329 0.9×	39 0.3×	21 0.2×	37 0.3×	25 0.2×	46	555
Mohammad Khansari	209 0.6×	79 0.6×	5 0.0×	51 0.4×	40 0.4×	57	517
Mohamed-Ali Belabbas	320 0.9×	72 0.5×	55 0.5×	121 1.0×	16 0.1×	51	556
Jonatan Gómez	220 0.6×	317 2.3×	8 0.1×	17 0.1×	103 0.9×	50	605

Countries citing papers authored by Yu Yao

Since Specialization

Citations

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

Fields of papers citing papers by Yu Yao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Yao

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