Shen Su
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- Network Security and Intrusion Detection 14
- Signal Processing top 2%
- Advanced Malware Detection Techniques 13
- Information Systems top 1%
- Blockchain Technology Applications and Security 9
- Service-Oriented Architecture and Web Services 6
- Spam and Phishing Detection 5
- Artificial Intelligence top 2%
- Privacy-Preserving Technologies in Data 13
- Internet Traffic Analysis and Secure E-voting 7
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- Advanced Steganography and Watermarking Techniques 6
Shen Su
68 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Computer Networks and Communications 888
- Signal Processing 353
- Information Systems 703
- Artificial Intelligence 778
- Computer Vision and Pattern Recognition 224
Countries citing papers authored by Shen Su
This map shows the geographic impact of Shen Su'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 Shen Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shen Su more than expected).
Fields of papers citing papers by Shen Su
This network shows the impact of papers produced by Shen Su. 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 Shen Su. The network helps show where Shen Su may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shen Su, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 5 | |
| 7 | 2024 | 5 | |
| 8 | 2024 | 3 | |
| 9 | 2024 | 0 | |
| 10 | 2024 | 0 | |
| 11 | 2024 | 1 | |
| 12 | 2023 | 5 | |
| 13 | 2023 | 1 | |
| 14 | 2023 | 1 | |
| 15 | 2023 | 1 | |
| 16 | 2020 | 43 | |
| 17 | 2020 | 53 | |
| 18 | 2019 | 7 | |
| 19 | 2018 | 4 | |
| 20 | 2016 | 8 |
About Shen Su
Shen Su is a scholar working on Signal Processing, Computer Networks and Communications, Artificial Intelligence, Information Systems and Transportation, having authored 79 papers that have together received 1.9k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (14 papers), Privacy-Preserving Technologies in Data (13 papers), Advanced Malware Detection Techniques (13 papers), Blockchain Technology Applications and Security (9 papers), Internet Traffic Analysis and Secure E-voting (7 papers), Advanced Steganography and Watermarking Techniques (6 papers), Service-Oriented Architecture and Web Services (6 papers) and Spam and Phishing Detection (5 papers). The work is most often cited by research in Computer Networks and Communications (888 citations), Signal Processing (353 citations), Information Systems (703 citations), Artificial Intelligence (778 citations) and Computer Vision and Pattern Recognition (224 citations). Shen Su has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Zhihong Tian, Jing Qiu, Yanbin Sun, Xiaojiang Du, Binxing Fang, Mohan Li, Mohsen Guizani, Chunlai Du, Meikang Qiu and Wei Shi. Their work appears in journals such as Computers, materials & continua/Computers, materials & continua (Print), IEEE Access, IEEE Transactions on Industrial Informatics, Future Generation Computer Systems and Computer Networks.
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.