Chuan Shi

15.9k citations
224 papers · 7.7k indexed · 7 hit papers · h-index 46
Topics
Advanced Graph Neural Networks (118 papers)Recommender Systems and Techniques (52 papers)Complex Network Analysis Techniques (52 papers)
Journals
Journal of Biological ChemistrySHILAP Revista de lepidopterologíaPLoS ONE

In The Last Decade

Chuan Shi

200 papers receiving 7.5k citations

Hit Papers

A survey of heterogeneous information network analysis201620262019202220162018202120192021200400600

Peers

Chuan Shi
Comparison fields: 5 of 159
  • Artificial Intelligence 5.8k
  • Information Systems 3.0k
  • Statistical and Nonlinear Physics 2.0k
  • Computer Vision and Pattern Recognition 1.2k
  • Computer Networks and Communications 904
Replace Yuxiao Dong with:
Yuxiao Dong China
Aditya Grover United States
Peng Cui China
Jundong Li United States
Jing Jiang Singapore
Cheng Yang China
Xueqi Cheng China
Matthew Richardson United States
Yizhou Sun United States
Tina Eliassi‐Rad United States
Chuan Shi relative to Yuxiao Dong China Yuxiao Dong's profile →
Citations per field
00.5×1.5×1.9×
Yuxiao Dong · 1×
Citations per year

Countries citing papers authored by Chuan Shi

Since Specialization
Citations

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

Fields of papers citing papers by Chuan Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chuan Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Chuan Shi. A scholar is included among the top collaborators of Chuan Shi 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 Chuan Shi. Chuan Shi 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 0
2 0
3 0
4 2
5 0
6 11
7 4
8 1
9 3
10 2
11 4
12 2
13 7
14 2
15 3
16 120
17 82
18 30
19 5
20
Retweet Number Prediction Based on Retweet Propagation Process
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About Chuan Shi

Chuan Shi is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Information Systems, having authored 224 papers that have together received 7.7k indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (118 papers), Recommender Systems and Techniques (52 papers) and Complex Network Analysis Techniques (52 papers). The work is most often cited by research in Artificial Intelligence (5.8k citations), Statistical and Nonlinear Physics (2.0k citations) and Information Systems (3.0k citations). Chuan Shi has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Philip S. Yu, Xiao Wang, Binbin Hu, Bin Wu, Yuanfu Lu, Yitong Li, Yuan Fang, Jiawei Zhang, Yizhou Sun and Cheng Yang. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

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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