Shujuan Cao

410 total citations
22 papers, 299 citations indexed

About

Shujuan Cao is a scholar working on Computational Theory and Mathematics, Geometry and Topology and Molecular Biology. According to data from OpenAlex, Shujuan Cao has authored 22 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computational Theory and Mathematics, 8 papers in Geometry and Topology and 5 papers in Molecular Biology. Recurrent topics in Shujuan Cao's work include Graph theory and applications (8 papers), Computational Drug Discovery Methods (8 papers) and Complex Network Analysis Techniques (4 papers). Shujuan Cao is often cited by papers focused on Graph theory and applications (8 papers), Computational Drug Discovery Methods (8 papers) and Complex Network Analysis Techniques (4 papers). Shujuan Cao collaborates with scholars based in China, Austria and United States. Shujuan Cao's co-authors include Matthias Dehmer, Yongtang Shi, Zhe Kang, Hui Qu, Chengyi Xia, Fang‐Xiang Wu, Haiyan Guo, Jianhua Wu, Rongxin Chen and Junxue Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Information Sciences.

In The Last Decade

Shujuan Cao

21 papers receiving 292 citations

Peers

Shujuan Cao
Comparison fields: 5 of 76
  • Geometry and Topology 174
  • Computational Theory and Mathematics 171
  • Statistical and Nonlinear Physics 64
  • Organic Chemistry 43
  • Molecular Biology 34
Replace Slavko Simić with:
Slavko Simić Serbia
Fengming Dong Singapore
Emanuele Munarini Italy
Huiqin Jiang China
Jianliang Wu China
Sergio Bermudo Spain
Rashad Ismail Saudi Arabia
Hadrien Mélot Belgium
Fred Buckley United States
Pu Wu China
Slavko Simić Serbia View profile →
Citations per field, relative to Shujuan Cao
Shujuan Cao · 1×
Citations per year, relative to Shujuan Cao
Shujuan Cao · 1×

Countries citing papers authored by Shujuan Cao

Since Specialization
Citations

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

Fields of papers citing papers by Shujuan Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shujuan Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Shujuan Cao. A scholar is included among the top collaborators of Shujuan Cao 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 Shujuan Cao. Shujuan Cao 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 4
4 11
5 6
6 1
7 1
8 1
9 6
10 1
11 4
12 2
13 6
14 3
15 8
16 23
17 4
18 13
19 56
20 3

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