Suqi Cheng

10 total papers · 559 total citations
6 papers, 356 citations indexed

About

Suqi Cheng is a scholar working on Statistical and Nonlinear Physics, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Suqi Cheng has authored 6 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Statistical and Nonlinear Physics, 3 papers in Information Systems and 1 paper in Computer Networks and Communications. Recurrent topics in Suqi Cheng's work include Opinion Dynamics and Social Influence (5 papers), Complex Network Analysis Techniques (5 papers) and Spam and Phishing Detection (2 papers). Suqi Cheng is often cited by papers focused on Opinion Dynamics and Social Influence (5 papers), Complex Network Analysis Techniques (5 papers) and Spam and Phishing Detection (2 papers). Suqi Cheng collaborates with scholars based in China and Switzerland. Suqi Cheng's co-authors include Xueqi Cheng, Junming Huang, Huawei Shen, Guoqing Zhang, Tao Zhou, Qingfeng Yang, Guoqing Zhang, Guoqiang Zhang, Wei Chen and Guoqiang Zhang and has published in prestigious journals such as Europhysics Letters (EPL), New Journal of Physics and arXiv (Cornell University).

In The Last Decade

Suqi Cheng

6 papers receiving 346 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Suqi Cheng 297 119 89 68 31 6 356
Mansoureh Takaffoli 213 0.7× 79 0.7× 85 1.0× 53 0.8× 51 1.6× 15 337
René Pfitzner 272 0.9× 58 0.5× 44 0.5× 31 0.5× 50 1.6× 6 390
Nishith Pathak 189 0.6× 49 0.4× 97 1.1× 90 1.3× 70 2.3× 16 307
Katarzyna Musiał 193 0.6× 59 0.5× 102 1.1× 73 1.1× 58 1.9× 13 308
Konstantin Kuzmin 243 0.8× 57 0.5× 107 1.2× 32 0.5× 20 0.6× 9 328
John Tang 217 0.7× 186 1.6× 36 0.4× 27 0.4× 33 1.1× 8 387
Nilesh Bansal 100 0.3× 86 0.7× 157 1.8× 154 2.3× 24 0.8× 10 307
Omar Shahbaz Khan 219 0.7× 69 0.6× 90 1.0× 49 0.7× 30 1.0× 16 361
Mahmoudreza Babaei 234 0.8× 78 0.7× 74 0.8× 40 0.6× 114 3.7× 13 387
Ian X. Y. Leung 193 0.6× 81 0.7× 77 0.9× 25 0.4× 17 0.5× 6 331

Countries citing papers authored by Suqi Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Suqi Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suqi Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Suqi Cheng. A scholar is included among the top collaborators of Suqi Cheng 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 Suqi Cheng. Suqi Cheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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