Shuo Tang
- Signal Processing top 5%
- Advanced Malware Detection Techniques 4
- Information Systems top 5%
- Web Application Security Vulnerabilities 5
- Artificial Intelligence top 10%
- Security and Verification in Computing 5
- Target Tracking and Data Fusion in Sensor Networks 4
-
- Peer-to-Peer Network Technologies 1
-
- Indoor and Outdoor Localization Technologies 3
-
- Inertial Sensor and Navigation 2
-
- Risk and Safety Analysis 2
- Co-authors
- Samuel T. KingChris GrierHaohui MaiNathan DautenhahnCǎlin CaşcavalPablo MontesinosOnur AcıiçmezHaoqing Li
- Journals
- Sensors (1 paper)IEEE Signal Processing Magazine (1 paper)IEEE Transactions on Aerospace and Electronic Systems (1 paper)
- Partner nations
- United StatesCzechiaUnited Kingdom
In The Last Decade
Shuo Tang
12 papers receiving 235 citations
Peers
Comparison fields: 5 of 18
- Signal Processing 170
- Information Systems 182
- Artificial Intelligence 174
- Software 13
- Computer Networks and Communications 74
Countries citing papers authored by Shuo Tang
This map shows the geographic impact of Shuo Tang'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 Shuo Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuo Tang more than expected).
Fields of papers citing papers by Shuo Tang
This network shows the impact of papers produced by Shuo Tang. 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 Shuo Tang. The network helps show where Shuo Tang may publish in the future.
Co-authorship network
The 19 scholars most cited alongside Shuo Tang, 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 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 1 | |
| 7 | 2012 | 20 | |
| 8 | Towards secure web browsing | 2011 | 2 |
| 9 | 2011 | 15 | |
| 10 | 2011 | 19 | |
| 11 | 2010 | 59 | |
| 12 | 2010 | 12 | |
| 13 | 2009 | 0 | |
| 14 | 2008 | 121 | |
| 15 | FATIGUEPRO: On-line fatigue usage transient monitoring system: Final report | 1988 | 3 |
About Shuo Tang
Shuo Tang is a scholar working on Signal Processing, Artificial Intelligence and Statistics, Probability and Uncertainty, having authored 15 papers that have together received 255 indexed citations. Recurring topics across this work include Web Application Security Vulnerabilities (5 papers), Security and Verification in Computing (5 papers), Target Tracking and Data Fusion in Sensor Networks (4 papers), Advanced Malware Detection Techniques (4 papers), Indoor and Outdoor Localization Technologies (3 papers), Inertial Sensor and Navigation (2 papers), Risk and Safety Analysis (2 papers) and Peer-to-Peer Network Technologies (1 paper). The work is most often cited by research in Signal Processing (170 citations), Information Systems (182 citations) and Artificial Intelligence (174 citations). Shuo Tang has collaborated with scholars based in United States, Czechia and United Kingdom. Frequent co-authors include Samuel T. King, Chris Grier, Haohui Mai, Nathan Dautenhahn, Cǎlin Caşcaval, Pablo Montesinos, Onur Acıiçmez, Haoqing Li, Pau Closas and Peng Wu. Their work appears in journals such as Sensors, IEEE Signal Processing Magazine and IEEE Transactions on Aerospace and Electronic Systems.
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.