Zhenyu Yin
- Automotive Engineering top 10%
- Vehicle Dynamics and Control Systems 5
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- Digital Transformation in Industry 13
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- IoT and Edge/Fog Computing 16
- Energy Efficient Wireless Sensor Networks 16
- Control and Systems Engineering top 10%
- Machine Fault Diagnosis Techniques 7
- Fault Detection and Control Systems 5
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- Advanced Neural Network Applications 7
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- Indoor and Outdoor Localization Technologies 6
- Co-authors
- Hongyan GuoHong ChenChen LvDongpu CaoGuangjie HanYuanguo BiYue LiChao Fan
- Cited by
- Automotive EngineeringIndustrial and Manufacturing EngineeringComputer Networks and Communications
- Partner nations
- ChinaHong KongUnited Kingdom
In The Last Decade
Zhenyu Yin
75 papers receiving 466 citations
Peers
Comparison fields: 5 of 79
- Automotive Engineering 94
- Industrial and Manufacturing Engineering 68
- Computer Networks and Communications 124
- Control and Systems Engineering 107
- Computer Vision and Pattern Recognition 80
Countries citing papers authored by Zhenyu Yin
This map shows the geographic impact of Zhenyu Yin'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 Zhenyu Yin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhenyu Yin more than expected).
Fields of papers citing papers by Zhenyu Yin
This network shows the impact of papers produced by Zhenyu Yin. 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 Zhenyu Yin. The network helps show where Zhenyu Yin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zhenyu Yin, 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 | 2026 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 1 | |
| 6 | 2025 | 1 | |
| 7 | 2024 | 7 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 12 | |
| 10 | 2024 | 11 | |
| 11 | 2024 | 10 | |
| 12 | 2024 | 1 | |
| 13 | 2023 | 9 | |
| 14 | 2023 | 7 | |
| 15 | 2023 | 0 | |
| 16 | 2022 | 0 | |
| 17 | 2017 | 11 | |
| 18 | Energy-aware Routing Algorithm for Wireless Sensor Network | 2008 | 3 |
| 19 | Research on RSSI-based Location in Smart Space | 2007 | 9 |
| 20 | Ready Queue Optimization Research in Task Scheduling | 2006 | 2 |
About Zhenyu Yin
Zhenyu Yin is a scholar working on Industrial and Manufacturing Engineering, Computer Networks and Communications and Hardware and Architecture, having authored 97 papers that have together received 484 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (16 papers), Energy Efficient Wireless Sensor Networks (16 papers), Digital Transformation in Industry (13 papers), Advanced Neural Network Applications (7 papers), Machine Fault Diagnosis Techniques (7 papers), Indoor and Outdoor Localization Technologies (6 papers), Vehicle Dynamics and Control Systems (5 papers) and Fault Detection and Control Systems (5 papers). The work is most often cited by research in Automotive Engineering (94 citations), Industrial and Manufacturing Engineering (68 citations) and Computer Networks and Communications (124 citations). Zhenyu Yin has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Hongyan Guo, Hong Chen, Chen Lv, Dongpu Cao, Guangjie Han, Yuanguo Bi, Yue Li, Chao Fan, Yin‐Fu Jin and Mingshi Li. Their work appears in journals such as IEEE Access, Sensors and Automation in Construction.
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.