Yanlei Diao

106 total papers · 5.1k total citations
59 papers, 2.9k citations indexed

About

Yanlei Diao is a scholar working on Computer Networks and Communications, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Yanlei Diao has authored 59 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Computer Networks and Communications, 29 papers in Signal Processing and 24 papers in Artificial Intelligence. Recurrent topics in Yanlei Diao's work include Advanced Database Systems and Queries (29 papers), Data Management and Algorithms (23 papers) and Time Series Analysis and Forecasting (11 papers). Yanlei Diao is often cited by papers focused on Advanced Database Systems and Queries (29 papers), Data Management and Algorithms (23 papers) and Time Series Analysis and Forecasting (11 papers). Yanlei Diao collaborates with scholars based in United States, France and China. Yanlei Diao's co-authors include Eugene Wu, Neil Immerman, Prashant Shenoy, Michael J. Franklin, Peter M. Fischer, Daniel Gyllstrom, Randy H. Katz, T. V. Lakshman, Zhifeng Chen and Yu Fang and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Proceedings of the VLDB Endowment and ACM SIGMOD Record.

In The Last Decade

Yanlei Diao

54 papers receiving 2.7k citations

Hit Papers

High-performance complex ... 2006 2026 2012 2019 2006 2006 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Yanlei Diao 2.1k 1.2k 1.2k 800 427 59 2.9k
Ashish Gupta 2.3k 1.1× 883 0.7× 931 0.8× 898 1.1× 453 1.1× 71 2.7k
Theodore Johnson 2.3k 1.1× 1.1k 0.9× 1.1k 0.9× 831 1.0× 388 0.9× 98 3.1k
Stratis D. Viglas 2.0k 1.0× 1.1k 0.9× 1.1k 1.0× 728 0.9× 445 1.0× 45 2.7k
Avi Silberschatz 2.2k 1.0× 797 0.6× 646 0.6× 1.1k 1.4× 310 0.7× 106 3.0k
Henry F. Korth 3.3k 1.6× 1.4k 1.1× 896 0.8× 1.1k 1.4× 387 0.9× 105 4.2k
Daniel Barbará 2.5k 1.2× 1.7k 1.4× 1.0k 0.9× 836 1.0× 229 0.5× 105 3.9k
Martin Kersten 2.6k 1.2× 1.4k 1.1× 1.6k 1.4× 1.1k 1.3× 316 0.7× 159 3.5k
David Lomet 2.2k 1.0× 817 0.7× 878 0.8× 743 0.9× 472 1.1× 125 2.7k
Vijayshankar Raman 2.6k 1.2× 1.0k 0.8× 1.5k 1.3× 924 1.2× 202 0.5× 47 3.0k
Christoph Koch 2.1k 1.0× 1.6k 1.3× 1.3k 1.1× 737 0.9× 229 0.5× 129 3.1k

Countries citing papers authored by Yanlei Diao

Since Specialization
Citations

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

Fields of papers citing papers by Yanlei Diao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanlei Diao

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