Yu Sheng
Impact in
- Software top 10%
- Software Reliability and Analysis Research
-
- Energy Efficient Wireless Sensor Networks
- Mobile Ad Hoc Networks
- Network Security and Intrusion Detection
Papers in
-
- Network Security and Intrusion Detection 4
- Co-authors
- Jianxin Wang (8 shared papers)Yin Wang (1 shared paper)Li Kuang (1 shared paper)Lan Huang (1 shared paper)Jin Liu (1 shared paper)Rui Guo (1 shared paper)Wei Lan (1 shared paper)Xiaoyan Kui (1 shared paper)
In The Last Decade
Yu Sheng
41 papers receiving 322 citations
Peers
Comparison fields: 5 of 73
- Software 28
- Computer Networks and Communications 102
- Signal Processing 37
- Computer Science Applications 18
- Information Systems 66
Countries citing papers authored by Yu Sheng
This map shows the geographic impact of Yu Sheng'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 Yu Sheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Sheng more than expected).
Fields of papers citing papers by Yu Sheng
This network shows the impact of papers produced by Yu Sheng. 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 Yu Sheng. The network helps show where Yu Sheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu Sheng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 64 | |
| 2 | 2010 | 51 | |
| 3 | 2020 | 51 | |
| 4 | 2013 | 32 | |
| 5 | 2021 | 25 | |
| 6 | 2011 | 10 | |
| 7 | 2003 | 9 | |
| 8 | 2008 | 9 | |
| 9 | 2015 | 9 | |
| 10 | 2010 | 8 | |
| 11 | 2015 | 6 | |
| 12 | 2020 | 5 | |
| 13 | 2024 | 4 | |
| 14 | 2013 | 4 | |
| 15 | 2022 | 3 | |
| 16 | 2023 | 3 | |
| 17 | 2007 | 3 | |
| 18 | 2016 | 3 | |
| 19 | 2021 | 3 | |
| 20 | 2008 | 3 |
About Yu Sheng
Yu Sheng is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Control and Systems Engineering and Signal Processing, having authored 52 papers that have together received 342 indexed citations. Recurring topics across this work include Advanced Wireless Network Optimization (4 papers), Robotic Path Planning Algorithms (4 papers), Advanced Malware Detection Techniques (4 papers), Network Security and Intrusion Detection (4 papers), Experimental Learning in Engineering (4 papers), Industrial Technology and Control Systems (4 papers), Advanced Sensor and Control Systems (3 papers) and Advanced MIMO Systems Optimization (3 papers). The work is most often cited by research in Software (28 citations), Computer Networks and Communications (102 citations), Signal Processing (37 citations), Computer Science Applications (18 citations) and Information Systems (66 citations). Yu Sheng has collaborated with scholars based in China, Australia and Canada. Frequent co-authors include Jianxin Wang, Yin Wang, Li Kuang, Lan Huang, Jin Liu, Rui Guo, Wei Lan, Xiaoyan Kui, Junbin Liang and Chenyang Zhu. Their work appears in journals such as BioMed Research International, Acta Physico-Chimica Sinica, Computational Intelligence and Neuroscience, Complex & Intelligent Systems and Applied Optics.
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.