Yi Zuo

952 citations
28 papers · 458 indexed · h-index 10
Topics
Recommender Systems and Techniques (5 papers)Nonlinear Dynamics and Pattern Formation (3 papers)Advanced Graph Neural Networks (3 papers)

In The Last Decade

Yi Zuo

26 papers receiving 432 citations

Peers

Yi Zuo
Comparison fields: 5 of 71
  • Information Systems 178
  • Computer Networks and Communications 152
  • Artificial Intelligence 140
  • Electrical and Electronic Engineering 84
  • Computer Vision and Pattern Recognition 77
Replace Moises Sudit with:
Moises Sudit United States
Masayoshi Aritsugi Japan
Zhaoming Hu China
Xiaoyao Zheng China
Hadi Tabatabaee Malazi Iran
Georgiy Levchuk United States
Rolando Trujillo-Rasúa Australia
Hoang Viet Long Vietnam
Yujing Hu China
Panagiotis Bouros Germany
Yi Zuo relative to Moises Sudit United States Moises Sudit's profile →
Citations per field
00.5×8.3×
Moises Sudit · 1×
Citations per year

Countries citing papers authored by Yi Zuo

Since Specialization
Citations

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

Fields of papers citing papers by Yi Zuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi Zuo

This figure shows the co-authorship network connecting the top 25 collaborators of Yi Zuo. A scholar is included among the top collaborators of Yi Zuo 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 Yi Zuo. Yi Zuo 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
#WorkIndexed citations
1 4
2 0
3 2
4 1
5 5
6 3
7 0
8 2
9 4
10 1
11 4
12 22
13 17
14 1
15 9
16 13
17 9
18 75
19 5
20
Study of Judging Methods of the Nonstandard Test Model in Test System
1

About Yi Zuo

Yi Zuo is a scholar working on Industrial and Manufacturing Engineering, Computer Networks and Communications and Management Science and Operations Research, having authored 28 papers that have together received 458 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (5 papers), Nonlinear Dynamics and Pattern Formation (3 papers) and Advanced Graph Neural Networks (3 papers). The work is most often cited by research in Information Systems (178 citations), Computer Networks and Communications (152 citations) and Management Science and Operations Research (67 citations). Yi Zuo has collaborated with scholars based in China, Canada and United Kingdom. Frequent co-authors include Licheng Jiao, Maoguo Gong, Lijia Ma, Qiang Gao, Jun Zhang, Xiaohong Peng, Yaonan Wang, Zengyun Wang, Lihong Huang and Eisuke Kita. Their work appears in journals such as IEEE Transactions on Vehicular Technology, Physics Letters A and Neurocomputing.

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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