Shaoyin Cheng

699 total citations
36 papers, 443 citations indexed

About

Shaoyin Cheng is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Shaoyin Cheng has authored 36 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 14 papers in Information Systems and 11 papers in Signal Processing. Recurrent topics in Shaoyin Cheng's work include Advanced Malware Detection Techniques (10 papers), Software Testing and Debugging Techniques (9 papers) and Network Security and Intrusion Detection (8 papers). Shaoyin Cheng is often cited by papers focused on Advanced Malware Detection Techniques (10 papers), Software Testing and Debugging Techniques (9 papers) and Network Security and Intrusion Detection (8 papers). Shaoyin Cheng collaborates with scholars based in China, Singapore and United States. Shaoyin Cheng's co-authors include Fan Jiang, Weiming Zhang, Han Gao, Hui Ye, Lanbo Zhang, Wenlong Chen, Xiang Li, Xing He, Yinxing Xue and Qunfeng Dong and has published in prestigious journals such as IEEE Transactions on Vehicular Technology, Information Fusion and IEEE Network.

In The Last Decade

Shaoyin Cheng

32 papers receiving 430 citations

Peers

Shaoyin Cheng
Comparison fields: 5 of 50
  • Signal Processing 244
  • Computer Networks and Communications 228
  • Information Systems 174
  • Artificial Intelligence 146
  • Software 133
Replace Ying Fu with:
Ying Fu China
Kan Yuan United States
Yuede Ji United States
Nwokedi Idika United States
Joshua Neil United States
Ronald W. Ritchey United States
Hassen Saı̈di United States
Sooel Son South Korea
Frederick B. Cohen United States
Zhuhua Cai United States
Ying Fu China View profile →
Citations per field, relative to Shaoyin Cheng
Shaoyin Cheng · 1×
Citations per year, relative to Shaoyin Cheng
Shaoyin Cheng · 1×

Countries citing papers authored by Shaoyin Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Shaoyin Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaoyin Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Shaoyin Cheng. A scholar is included among the top collaborators of Shaoyin 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 Shaoyin Cheng. Shaoyin Cheng 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 0
2 0
3 4
4 4
5 114
6 3
7 1
8 11
9 17
10 1
11
A novel measurement of the activation probabilities in information diffusion model
1
12 17
13 12
14 10
15 24
16 1
17 1
18 5
19 22
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.

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