Shengwei Yi

415 citations
28 papers · 269 · h-index 10

Impact in

    • Advanced Malware Detection Techniques
    • Biometric Identification and Security
  • Software top 10%
    • Software Testing and Debugging Techniques

Papers in

Shengwei Yi

26 papers receiving 250 citations

Peers

Shengwei Yi
Comparison fields: 5 of 53
  • Signal Processing 137
  • Software 29
  • Information Systems 156
  • Computer Networks and Communications 126
  • Artificial Intelligence 67
Replace Meysam Ghahramani with:
Meysam Ghahramani Iran
Thomas Given-Wilson France
H.-W. Six Germany
Anna Shubina United States
Zhiwu Xu China
Joey Paquet Canada
Yaowen Zheng China
J.K. Reynolds United States
Duc‐Ly Vu Italy
Haipeng Qu China
Shengwei Yi relative to Meysam Ghahramani Iran Meysam Ghahramani's profile →
Citations per field
00.5×1.5×
Meysam Ghahramani · 1×
Citations per year

Countries citing papers authored by Shengwei Yi

Since Specialization
Citations

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

Fields of papers citing papers by Shengwei Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Shengwei Yi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shengwei Yi Line = papers co-authored together Shengwei Yi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201945
2 201941
3 201328
4 202222
5 201820
6 201514
7 201113
8 201310
9 20089
10 20159
11 20138
12 20187
13 20126
14 20245
15 20105
16 20115
17 20184
18 20144
19
A New Query Dependent Feature Fusion Approach for Medical Image Retrieval based on One-Class SVM
20112
20 20172

About Shengwei Yi

Shengwei Yi is a scholar working on Information Systems, Computer Networks and Communications, Signal Processing, Artificial Intelligence and Control and Systems Engineering, having authored 28 papers that have together received 269 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (7 papers), Network Security and Intrusion Detection (6 papers), Smart Grid Security and Resilience (4 papers), Data Mining Algorithms and Applications (4 papers), Data Management and Algorithms (3 papers), Service-Oriented Architecture and Web Services (3 papers), Rough Sets and Fuzzy Logic (3 papers) and Anomaly Detection Techniques and Applications (3 papers). The work is most often cited by research in Signal Processing (137 citations), Software (29 citations), Information Systems (156 citations), Computer Networks and Communications (126 citations) and Artificial Intelligence (67 citations). Shengwei Yi has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Xiaofeng Lu, Jing Sha, Shilong Ma, Píetro Lió, Xi Huang, Wei Liu, Junfeng Xu, Dong Uk Ahn, Yong Peng and Lijuan Xu. Their work appears in journals such as IEEE Internet of Things Journal, Food Science and Human Wellness, Journal of Computer Information Systems, Computer Networks and Journal of Tsinghua University(Science and Technology).

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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