Cangqi Zhou

406 total citations
36 papers, 264 citations indexed

About

Cangqi Zhou is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Information Systems. According to data from OpenAlex, Cangqi Zhou has authored 36 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 14 papers in Statistical and Nonlinear Physics and 7 papers in Information Systems. Recurrent topics in Cangqi Zhou's work include Complex Network Analysis Techniques (14 papers), Advanced Graph Neural Networks (12 papers) and Opinion Dynamics and Social Influence (6 papers). Cangqi Zhou is often cited by papers focused on Complex Network Analysis Techniques (14 papers), Advanced Graph Neural Networks (12 papers) and Opinion Dynamics and Social Influence (6 papers). Cangqi Zhou collaborates with scholars based in China, United States and Brazil. Cangqi Zhou's co-authors include Qianchuan Zhao, Qilong Huang, Jing Zhang, Qianmu Li, Li Yang, Puyu Wang, Lizi Luo, Xiaohong Guan, Qing‐Shan Jia and Victor S. Sheng and has published in prestigious journals such as PLoS ONE, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Cangqi Zhou

35 papers receiving 255 citations

Peers

Cangqi Zhou
Comparison fields: 5 of 71
  • Artificial Intelligence 78
  • Statistical and Nonlinear Physics 75
  • Electrical and Electronic Engineering 55
  • Information Systems 51
  • Computer Networks and Communications 28
Replace Shengzong Liu with:
Shengzong Liu China
Ajitesh Srivastava United States
Danyang Chen China
Dongchao Guo China
Xun Jian Hong Kong
Toni Anwar Malaysia
Amit Prakash India
Komal Kapoor India
Marcel Blattner Switzerland
Shengzong Liu China View profile →
Citations per field, relative to Cangqi Zhou
Cangqi Zhou · 1×
Citations per year, relative to Cangqi Zhou
Cangqi Zhou · 1×

Countries citing papers authored by Cangqi Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Cangqi Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cangqi Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Cangqi Zhou. A scholar is included among the top collaborators of Cangqi Zhou 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 Cangqi Zhou. Cangqi Zhou 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 2
2 1
3 2
4 1
5 2
6 5
7 5
8 7
9 1
10 1
11 2
12 9
13 0
14 15
15 8
16 8
17 1
18 21
19 31
20 5

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026