Chenyi Zhuang

772 total citations · 1 hit paper
29 papers, 469 citations indexed

About

Chenyi Zhuang is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chenyi Zhuang has authored 29 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 9 papers in Information Systems and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Chenyi Zhuang's work include Recommender Systems and Techniques (6 papers), Advanced Graph Neural Networks (6 papers) and Complex Network Analysis Techniques (5 papers). Chenyi Zhuang is often cited by papers focused on Recommender Systems and Techniques (6 papers), Advanced Graph Neural Networks (6 papers) and Complex Network Analysis Techniques (5 papers). Chenyi Zhuang collaborates with scholars based in Japan, China and Thailand. Chenyi Zhuang's co-authors include Qiang Ma, Masatoshi Yoshikawa, Kyoung‐Sook Kim, Tsuyoshi Murata, Xin Liu, Xuefeng Liang, Xing Xie, Nicholas Jing Yuan, Ruihua Song and Hongxiang Xue and has published in prestigious journals such as IEEE Access, Ocean Engineering and Multimedia Tools and Applications.

In The Last Decade

Chenyi Zhuang

27 papers receiving 456 citations

Hit Papers

Dual Graph Convolutional Networks for Graph-Based Semi-Su... 2018 2026 2020 2023 2018 50 100 150 200 250

Peers

Chenyi Zhuang
Comparison fields: 5 of 76
  • Artificial Intelligence 295
  • Computer Vision and Pattern Recognition 138
  • Statistical and Nonlinear Physics 120
  • Information Systems 98
  • Transportation 49
Replace Haicheng Tao with:
Haicheng Tao China
X. D. Zhang United States
Xovee Xu China
Liangyue Li United States
Abhishek Mallik India
Yuxin Dong China
Daokun Zhang Australia
Yue Hu China
Shanqing Yu China
Haicheng Tao China View profile →
Citations per field, relative to Chenyi Zhuang
Chenyi Zhuang · 1×
Citations per year, relative to Chenyi Zhuang
Chenyi Zhuang · 1×

Countries citing papers authored by Chenyi Zhuang

Since Specialization
Citations

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

Fields of papers citing papers by Chenyi Zhuang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenyi Zhuang

This figure shows the co-authorship network connecting the top 25 collaborators of Chenyi Zhuang. A scholar is included among the top collaborators of Chenyi Zhuang 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 Chenyi Zhuang. Chenyi Zhuang 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 1
2 1
3 2
4 5
5 2
6 3
7 12
8 9
9 0
10 6
11 4
12
Travel Route Recommendation by Considering User Transition Patterns
1
13 38
14 6
15 2
16
Dual Graph Convolutional Networks for Graph-Based Semi-Supervised Classification breakdown →
274
17 24
18 4
19 14
20 15

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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