Yao Wu

2.4k total citations · 2 hit papers
42 papers, 1.6k citations indexed

About

Yao Wu is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Information Systems. According to data from OpenAlex, Yao Wu has authored 42 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 15 papers in Statistical and Nonlinear Physics and 11 papers in Information Systems. Recurrent topics in Yao Wu's work include Complex Network Analysis Techniques (14 papers), Advanced Graph Neural Networks (9 papers) and Data Management and Algorithms (6 papers). Yao Wu is often cited by papers focused on Complex Network Analysis Techniques (14 papers), Advanced Graph Neural Networks (9 papers) and Data Management and Algorithms (6 papers). Yao Wu collaborates with scholars based in China, United States and Canada. Yao Wu's co-authors include Martin Ester, Christopher DuBois, Alice X. Zheng, Zeshui Xu, Decui Liang, Dun Liu, David Levinson, Yang Qing, Yang Zhang and Zhiheng Xu and has published in prestigious journals such as Angewandte Chemie International Edition, Information Sciences and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Yao Wu

40 papers receiving 1.6k citations

Hit Papers

Collaborative Denoising Auto-Encoders for Top-N Recommend... 2016 2026 2019 2022 2016 2018 200 400 600

Peers

Yao Wu
Comparison fields: 5 of 102
  • Information Systems 830
  • Artificial Intelligence 792
  • Management Science and Operations Research 391
  • Computer Vision and Pattern Recognition 315
  • Statistical and Nonlinear Physics 252
Replace Panagiotis Symeonidis with:
Panagiotis Symeonidis Greece
Tong Xu China
Sen Wu China
Zhumin Chen China
Shou-De Lin Taiwan
Ming-Feng Tsai Taiwan
Prem Melville United States
Dianshuang Wu Australia
Huan Zhao China
Giuseppe Manco Italy
Panagiotis Symeonidis Greece View profile →
Citations per field, relative to Yao Wu
Yao Wu · 1×
Citations per year, relative to Yao Wu
Yao Wu · 1×

Countries citing papers authored by Yao Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yao Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yao Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Yao Wu. A scholar is included among the top collaborators of Yao 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 Yao Wu. Yao Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 9
4 2
5 15
6 18
7 29
8 17
9 31
10 19
11 2
12 1
13 60
14 8
15 30
16 2
17 33
18 85
19
Scalable Link-based Personalization for Ranking in Entity-Relationship Graphs
3
20
LP Randomized Rounding for Maximum Coverage Problem and Minimum Set Cover with Threshold Problem
2

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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