Yintao Yu

15 total papers · 1.5k total citations
11 papers, 928 citations indexed

About

Yintao Yu is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Information Systems. According to data from OpenAlex, Yintao Yu has authored 11 papers receiving a total of 928 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Statistical and Nonlinear Physics and 4 papers in Information Systems. Recurrent topics in Yintao Yu's work include Complex Network Analysis Techniques (6 papers), Topic Modeling (3 papers) and Time Series Analysis and Forecasting (2 papers). Yintao Yu is often cited by papers focused on Complex Network Analysis Techniques (6 papers), Topic Modeling (3 papers) and Time Series Analysis and Forecasting (2 papers). Yintao Yu collaborates with scholars based in United States, China and Canada. Yintao Yu's co-authors include Jiawei Han, Yizhou Sun, Roland Kays, Lu‐An Tang, Jae-Gil Lee, Ji Ming, Jie Tang, Tianyi Wu, Jingyi Guo and Chi Wang and has published in prestigious journals such as Proceedings of the VLDB Endowment, ACM Transactions on Intelligent Systems and Technology and Translational Cancer Research.

In The Last Decade

Yintao Yu

10 papers receiving 884 citations

Hit Papers

Ranking-based clustering ... 2009 2026 2014 2020 2009 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
Yintao Yu 577 451 281 183 141 11 928
Jon Kleinberg 297 0.5× 655 1.5× 138 0.5× 57 0.3× 144 1.0× 13 1.1k
Karthik Subbian 432 0.7× 438 1.0× 248 0.9× 76 0.4× 152 1.1× 43 865
Jiafeng Hu 374 0.6× 486 1.1× 162 0.6× 276 1.5× 434 3.1× 28 983
Wael Khreich 568 1.0× 213 0.5× 213 0.8× 225 1.2× 279 2.0× 24 967
Mauro Sozio 494 0.9× 289 0.6× 204 0.7× 184 1.0× 366 2.6× 33 919
Monica Rogati 645 1.1× 268 0.6× 318 1.1× 44 0.2× 122 0.9× 20 979
Nicola Barbieri 294 0.5× 576 1.3× 272 1.0× 60 0.3× 154 1.1× 29 820
Bahman Bahmani 521 0.9× 253 0.6× 262 0.9× 251 1.4× 271 1.9× 11 949
Benjamin Markines 364 0.6× 483 1.1× 386 1.4× 57 0.3× 121 0.9× 12 914
Chi Wang 399 0.7× 465 1.0× 222 0.8× 91 0.5× 170 1.2× 23 1000

Countries citing papers authored by Yintao Yu

Since Specialization
Citations

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

Fields of papers citing papers by Yintao Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yintao Yu

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