Zhizhi Yu
- Artificial Intelligence top 5%
- Statistical and Nonlinear Physics top 2%
- Computer Networks and Communications top 10%
- Information Systems top 10%
- Computer Vision and Pattern Recognition
- Topics
- Advanced Graph Neural Networks (13 papers)Complex Network Analysis Techniques (8 papers)Text and Document Classification Technologies (6 papers)
- Journals
- Expert Systems with ApplicationsIEEE Transactions on Neural Networks and Learning SystemsIEEE Transactions on Knowledge and Data Engineering
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Zhizhi Yu
14 papers receiving 446 citations
Hit Papers
Peers
Comparison fields: 5 of 70
- Artificial Intelligence 324
- Statistical and Nonlinear Physics 249
- Computer Networks and Communications 77
- Information Systems 76
- Computer Vision and Pattern Recognition 55
Countries citing papers authored by Zhizhi Yu
This map shows the geographic impact of Zhizhi 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 Zhizhi Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhizhi Yu more than expected).
Fields of papers citing papers by Zhizhi Yu
This network shows the impact of papers produced by Zhizhi 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 Zhizhi Yu. The network helps show where Zhizhi Yu may publish in the future.
Co-authorship network of co-authors of Zhizhi Yu
This figure shows the co-authorship network connecting the top 25 collaborators of Zhizhi Yu. A scholar is included among the top collaborators of Zhizhi 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 Zhizhi Yu. Zhizhi Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 12 | |
| 11 | 4 | |
| 12 | 2 | |
| 13 | 3 | |
| 14 | A Survey of Community Detection Approaches: From Statistical Modeling to Deep Representation | 1 |
| 15 | Universal Graph Convolutional Networks | 45 |
| 16 | 9 | |
| 17 | A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learningbreakdown → | 259 |
| 18 | 33 | |
| 19 | 14 | |
| 20 | 65 |
About Zhizhi Yu
Zhizhi Yu is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Transportation, having authored 20 papers that have together received 452 indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (13 papers), Complex Network Analysis Techniques (8 papers) and Text and Document Classification Technologies (6 papers). The work is most often cited by research in Statistical and Nonlinear Physics (249 citations), Artificial Intelligence (324 citations) and Transportation (29 citations). Zhizhi Yu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Di Jin, Dongxiao He, Weixiong Zhang, Jia Wu, Shirui Pan, Pengfei Jiao, Philip L. H. Yu, Jiawei Han, Zhiyong Feng and Bin‐Bin Zhang. Their work appears in journals such as Expert Systems with Applications, IEEE Transactions on Neural Networks and Learning Systems and IEEE Transactions on Knowledge and Data Engineering.
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.