Yanhong Wu

745 citations
7 papers · 351 indexed · 1 hit paper · h-index 5
Topics
Advanced Graph Neural Networks (2 papers)Anomaly Detection Techniques and Applications (2 papers)Infrared Target Detection Methodologies (1 paper)
Journals
Computer Graphics ForumElectronicsJournal of Physics Conference Series

In The Last Decade

Yanhong Wu

6 papers receiving 344 citations

Hit Papers

DySAT20202026202220242020100200300

Peers

Yanhong Wu
Comparison fields: 5 of 51
  • Artificial Intelligence 284
  • Statistical and Nonlinear Physics 135
  • Information Systems 68
  • Computer Vision and Pattern Recognition 51
  • Computer Networks and Communications 42
Replace Giang Nguyen with:
Giang Nguyen United States
Daokun Zhang Australia
Bingbing Xu China
Lin Pan China
Yiwei Wang Singapore
Hadi Zare Iran
Yushun Dong United States
Sheng Zhou China
Zhizhi Yu China
Yanhong Wu relative to Giang Nguyen United States Giang Nguyen's profile →
Citations per field
00.5×1.5×1.8×
Giang Nguyen · 1×
Citations per year

Countries citing papers authored by Yanhong Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yanhong Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanhong Wu

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

All Works

7 of 7 papers shown
#WorkIndexed citations
1 3
2 6
3
DySAT Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks
26
4 305
5 7
6 4
7
Application of Four Types of Fuzzy Methods in P.E.Evaluation
0

About Yanhong Wu

Yanhong Wu is a scholar working on Ecological Modeling, Artificial Intelligence and Signal Processing, having authored 7 papers that have together received 351 indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (2 papers), Anomaly Detection Techniques and Applications (2 papers) and Infrared Target Detection Methodologies (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (135 citations), Artificial Intelligence (284 citations) and Transportation (37 citations). Yanhong Wu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Liang Gou, Aravind Sankar, Wei Zhang, Hao Yang, Hao Yang, Wei Zhang, Hao Yang, Sunpreet S. Arora, Hongyan Wang and Xun Zhao. Their work appears in journals such as Computer Graphics Forum, Electronics and Journal of Physics Conference Series.

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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