Maode Yan
Impact in
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- Traffic control and management
- Adaptive Control of Nonlinear Systems
- Stability and Control of Uncertain Systems
- Fault Detection and Control Systems
- Control Systems and Identification
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- Chaos-based Image/Signal Encryption
- Advanced Steganography and Watermarking Techniques
Papers in
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- Traffic control and management 25
- Adaptive Control of Nonlinear Systems 10
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- Distributed Control Multi-Agent Systems 13
- Co-authors
- Panpan Yang (18 shared papers)Lei Zuo (23 shared papers)Huazhen Fang (1 shared paper)Xu Zhu (9 shared papers)Huansheng Song (2 shared papers)Liya Zhu (2 shared papers)Xi Zhang (1 shared paper)Juan Xu (1 shared paper)
In The Last Decade
Maode Yan
64 papers receiving 872 citations
Peers
Comparison fields: 5 of 65
- Control and Systems Engineering 467
- Computer Vision and Pattern Recognition 225
- Automotive Engineering 122
- Transportation 56
- Computer Networks and Communications 169
Countries citing papers authored by Maode Yan
This map shows the geographic impact of Maode Yan'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 Maode Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maode Yan more than expected).
Fields of papers citing papers by Maode Yan
This network shows the impact of papers produced by Maode Yan. 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 Maode Yan. The network helps show where Maode Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Maode Yan, 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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 144 | |
| 2 | 2008 | 125 | |
| 3 | 2008 | 97 | |
| 4 | 2019 | 39 | |
| 5 | 2017 | 35 | |
| 6 | 2019 | 25 | |
| 7 | 2017 | 24 | |
| 8 | 2022 | 23 | |
| 9 | 1986 | 21 | |
| 10 | 2020 | 20 | |
| 11 | 2019 | 20 | |
| 12 | 2019 | 18 | |
| 13 | 2023 | 18 | |
| 14 | 2017 | 17 | |
| 15 | 2020 | 17 | |
| 16 | 1992 | 17 | |
| 17 | 2017 | 15 | |
| 18 | 2019 | 15 | |
| 19 | 1991 | 13 | |
| 20 | 2023 | 12 |
About Maode Yan
Maode Yan is a scholar working on Control and Systems Engineering, Computer Networks and Communications, Electrical and Electronic Engineering, Automotive Engineering and Aerospace Engineering, having authored 71 papers that have together received 886 indexed citations. Recurring topics across this work include Traffic control and management (25 papers), Distributed Control Multi-Agent Systems (13 papers), Adaptive Control of Nonlinear Systems (10 papers), Transportation Planning and Optimization (10 papers), Vehicle Dynamics and Control Systems (10 papers), Vehicular Ad Hoc Networks (VANETs) (7 papers), Traffic Prediction and Management Techniques (7 papers) and UAV Applications and Optimization (6 papers). The work is most often cited by research in Control and Systems Engineering (467 citations), Computer Vision and Pattern Recognition (225 citations), Automotive Engineering (122 citations), Transportation (56 citations) and Computer Networks and Communications (169 citations). Maode Yan has collaborated with scholars based in China, Canada and Italy. Frequent co-authors include Panpan Yang, Lei Zuo, Huazhen Fang, Xu Zhu, Huansheng Song, Liya Zhu, Xi Zhang, Juan Xu, Ye Tang and Yaohong Qu. Their work appears in journals such as Complexity, IET Control Theory and Applications, IEEE Access, Journal of the Franklin Institute and Journal of Advanced Transportation.
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.