Yuezu Lv
- Computer Networks and Communications top 0.5%
- Distributed Control Multi-Agent Systems 96
- Neural Networks Stability and Synchronization 61
- Energy Efficient Wireless Sensor Networks 9
-
- Adaptive Control of Nonlinear Systems 21
- Stability and Control of Uncertain Systems 15
- Aerospace Engineering top 5%
- Guidance and Control Systems 8
- Artificial Intelligence top 5%
- Target Tracking and Data Fusion in Sensor Networks 10
-
- Advanced Memory and Neural Computing 21
- Co-authors
- Zhisheng DuanGuanghui WenZhongkui LiTingwen HuangXinghuo YuJialing ZhouGuanrong ChenJunjie Fu
- Cited by
- Computer Networks and CommunicationsControl and Systems EngineeringComputational Theory and Mathematics
In The Last Decade
Yuezu Lv
114 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 58
- Computer Networks and Communications 1.7k
- Control and Systems Engineering 1.1k
- Computational Theory and Mathematics 173
- Aerospace Engineering 203
- Artificial Intelligence 230
Countries citing papers authored by Yuezu Lv
This map shows the geographic impact of Yuezu Lv'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 Yuezu Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuezu Lv more than expected).
Fields of papers citing papers by Yuezu Lv
This network shows the impact of papers produced by Yuezu Lv. 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 Yuezu Lv. The network helps show where Yuezu Lv may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yuezu Lv, 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 | 3 | |
| 3 | 2024 | 9 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 19 | |
| 9 | 2022 | 7 | |
| 10 | 2022 | 22 | |
| 11 | 2022 | 32 | |
| 12 | 2022 | 7 | |
| 13 | 2021 | 22 | |
| 14 | 2020 | 25 | |
| 15 | 2020 | 37 | |
| 16 | 2020 | 44 | |
| 17 | 2019 | 32 | |
| 18 | 2019 | 50 | |
| 19 | 2019 | 45 | |
| 20 | 2019 | 76 |
About Yuezu Lv
Yuezu Lv is a scholar working on Computer Networks and Communications, Control and Systems Engineering and Statistical and Nonlinear Physics, having authored 129 papers that have together received 2.2k indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (96 papers), Neural Networks Stability and Synchronization (61 papers), Adaptive Control of Nonlinear Systems (21 papers), Advanced Memory and Neural Computing (21 papers), Stability and Control of Uncertain Systems (15 papers), Target Tracking and Data Fusion in Sensor Networks (10 papers), Energy Efficient Wireless Sensor Networks (9 papers) and Guidance and Control Systems (8 papers). The work is most often cited by research in Computer Networks and Communications (1.7k citations), Control and Systems Engineering (1.1k citations) and Computational Theory and Mathematics (173 citations). Yuezu Lv has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Zhisheng Duan, Guanghui Wen, Zhongkui Li, Tingwen Huang, Xinghuo Yu, Jialing Zhou, Guanrong Chen, Junjie Fu, Wenwu Yu and Wenwu Yu. Their work appears in journals such as IEEE Transactions on Automatic Control, ACS Catalysis and IEEE Transactions on Industrial Electronics.
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.