Zhenyu Yin
- Computer Networks and Communications top 10%
- Control and Systems Engineering top 10%
- Automotive Engineering top 10%
- Computer Vision and Pattern Recognition top 10%
- Mechanical Engineering
- Co-authors
- Hongyan GuoHong ChenChen LvDongpu CaoGuangjie HanYuanguo BiYue LiChao Fan
- Topics
- IoT and Edge/Fog Computing (16 papers)Energy Efficient Wireless Sensor Networks (16 papers)Digital Transformation in Industry (13 papers)
- 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
- Computer Networks and Communications 124
- Control and Systems Engineering 107
- Automotive Engineering 94
- Computer Vision and Pattern Recognition 80
- Mechanical Engineering 74
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 of co-authors of Zhenyu Yin
This figure shows the co-authorship network connecting the top 25 collaborators of Zhenyu Yin. A scholar is included among the top collaborators of Zhenyu Yin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zhenyu Yin. Zhenyu Yin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 7 | |
| 8 | 1 | |
| 9 | 12 | |
| 10 | 11 | |
| 11 | 10 | |
| 12 | 1 | |
| 13 | 9 | |
| 14 | 7 | |
| 15 | 0 | |
| 16 | 0 | |
| 17 | 11 | |
| 18 | Energy-aware Routing Algorithm for Wireless Sensor Network | 3 |
| 19 | Research on RSSI-based Location in Smart Space | 9 |
| 20 | Ready Queue Optimization Research in Task Scheduling | 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) and Digital Transformation in Industry (13 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.