Shuhan Yuan

2.1k citations
40 papers · 978 indexed · 2 hit papers · h-index 15
Topics
Anomaly Detection Techniques and Applications (13 papers)Network Security and Intrusion Detection (12 papers)Topic Modeling (6 papers)
Partner nations
United StatesChina

In The Last Decade

Shuhan Yuan

37 papers receiving 935 citations

Hit Papers

FairGAN: Fairness-aware Generative Adversarial Networks20182026202020232018202150100150

Peers

Shuhan Yuan
Comparison fields: 5 of 114
  • Artificial Intelligence 594
  • Computer Networks and Communications 369
  • Information Systems 157
  • Signal Processing 134
  • Safety Research 115
Replace Peter Kieseberg with:
Peter Kieseberg Austria
Zengxiang Li Singapore
Fiammetta Marulli Italy
Supriyo Chakraborty United States
Thanassis Giannetsos Denmark
Aakash Ahmad Saudi Arabia
Freddy Lécué United Kingdom
Maurice van Keulen Netherlands
Chetan Arora Australia
Aparna S. Varde United States
Shuhan Yuan relative to Peter Kieseberg Austria Peter Kieseberg's profile →
Citations per field
00.5×
Peter Kieseberg · 1×
Citations per year

Countries citing papers authored by Shuhan Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Shuhan Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuhan Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Shuhan Yuan. A scholar is included among the top collaborators of Shuhan Yuan 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 Shuhan Yuan. Shuhan Yuan 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 3
4 6
5 16
6 2
7 1
8 1
9 1
10
Deep learning for insider threat detection: Review, challenges and opportunitiesbreakdown →
136
11 26
12 1
13 28
14 7
15 40
16
FairGAN: Fairness-aware Generative Adversarial Networksbreakdown →
175
17 14
18 7
19 5
20 2

About Shuhan Yuan

Shuhan Yuan is a scholar working on Artificial Intelligence, Computer Networks and Communications and Safety Research, having authored 40 papers that have together received 978 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (13 papers), Network Security and Intrusion Detection (12 papers) and Topic Modeling (6 papers). The work is most often cited by research in Artificial Intelligence (594 citations), Computer Networks and Communications (369 citations) and Safety Research (115 citations). Shuhan Yuan has collaborated with scholars based in United States and China. Frequent co-authors include Xintao Wu, Depeng Xu, Lu Zhang, Yang Xiang, Panpan Zheng, Xiao Han, Aidong Lu, Jun Li, Meizi Li and Xuemei Liu. Their work appears in journals such as Expert Systems with Applications, Renewable Energy and Computers & Security.

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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