Yinghui Wu

206 total papers · 4.1k total citations
146 papers, 2.8k citations indexed

About

Yinghui Wu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Yinghui Wu has authored 146 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Artificial Intelligence, 49 papers in Computer Vision and Pattern Recognition and 36 papers in Signal Processing. Recurrent topics in Yinghui Wu's work include Graph Theory and Algorithms (41 papers), Advanced Graph Neural Networks (35 papers) and Data Management and Algorithms (34 papers). Yinghui Wu is often cited by papers focused on Graph Theory and Algorithms (41 papers), Advanced Graph Neural Networks (35 papers) and Data Management and Algorithms (34 papers). Yinghui Wu collaborates with scholars based in United States, China and United Kingdom. Yinghui Wu's co-authors include Wenfei Fan, Jianzhong Li, Xin Wang, Xifeng Yan, Jingbo Xu, Nan Tang, Qi Song, Anurag K. Srivastava, Shuai Ma and Xin Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Materials Chemistry A.

In The Last Decade

Yinghui Wu

134 papers receiving 2.8k citations

Author Peers

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

Author Last Decade Papers Cites
Yinghui Wu 1.3k 1.2k 880 859 413 146 2.8k
Sanjay Chawla 483 0.4× 1.6k 1.3× 1.1k 1.2× 722 0.8× 633 1.5× 147 3.7k
Peer Kröger 957 0.7× 2.2k 1.9× 1.1k 1.3× 493 0.6× 618 1.5× 99 3.6k
Kiri L. Wagstaff 1.0k 0.8× 1.7k 1.4× 543 0.6× 236 0.3× 353 0.9× 121 3.6k
Tobias Scheffer 881 0.7× 2.0k 1.7× 402 0.5× 289 0.3× 532 1.3× 104 3.5k
Shuo Shang 578 0.5× 1.0k 0.8× 2.1k 2.4× 865 1.0× 854 2.1× 140 3.8k
Qiang Liu 853 0.7× 1.4k 1.2× 387 0.4× 617 0.7× 493 1.2× 164 2.7k
Bryan Hooi 369 0.3× 1.9k 1.6× 636 0.7× 813 0.9× 596 1.4× 96 2.8k
Goce Trajcevski 570 0.4× 1.9k 1.5× 2.2k 2.5× 705 0.8× 536 1.3× 183 4.4k
Jie Yin 605 0.5× 1.7k 1.4× 583 0.7× 782 0.9× 518 1.3× 99 3.6k
Quanquan Gu 894 0.7× 2.3k 1.9× 209 0.2× 525 0.6× 891 2.2× 141 3.8k

Countries citing papers authored by Yinghui Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yinghui Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yinghui Wu

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