Zhicheng Dai
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Experimental and Cognitive Psychology top 10%
- Computer Vision and Pattern Recognition
- Information Systems top 10%
- Co-authors
- Liang ZhaoXiaoliang ZhuBingwen WangZhi LiTao YunJie CaoJinming HuSiyu Li
- Topics
- Energy Efficient Wireless Sensor Networks (7 papers)Online and Blended Learning (4 papers)Emotion and Mood Recognition (4 papers)
- Cited by
- Experimental and Cognitive PsychologyComputer Networks and CommunicationsComputer Science Applications
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Zhicheng Dai
45 papers receiving 466 citations
Peers
Comparison fields: 5 of 112
- Computer Networks and Communications 98
- Electrical and Electronic Engineering 86
- Experimental and Cognitive Psychology 72
- Computer Vision and Pattern Recognition 57
- Information Systems 52
Countries citing papers authored by Zhicheng Dai
This map shows the geographic impact of Zhicheng Dai'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 Zhicheng Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhicheng Dai more than expected).
Fields of papers citing papers by Zhicheng Dai
This network shows the impact of papers produced by Zhicheng Dai. 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 Zhicheng Dai. The network helps show where Zhicheng Dai may publish in the future.
Co-authorship network of co-authors of Zhicheng Dai
This figure shows the co-authorship network connecting the top 25 collaborators of Zhicheng Dai. A scholar is included among the top collaborators of Zhicheng Dai 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 Zhicheng Dai. Zhicheng Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 8 | |
| 6 | 6 | |
| 7 | 10 | |
| 8 | 15 | |
| 9 | 17 | |
| 10 | 4 | |
| 11 | 13 | |
| 12 | 17 | |
| 13 | 15 | |
| 14 | 28 | |
| 15 | 29 | |
| 16 | 28 | |
| 17 | 3 | |
| 18 | BSHM-WSN: A wireless sensor network for bridge structure health monitoring | 18 |
| 19 | Health Monitoring of Bridge Using Wireless Sensor Networks | 2 |
| 20 | 29 |
About Zhicheng Dai
Zhicheng Dai is a scholar working on Computer Science Applications, Toxicology and Experimental and Cognitive Psychology, having authored 52 papers that have together received 500 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (7 papers), Online and Blended Learning (4 papers) and Emotion and Mood Recognition (4 papers). The work is most often cited by research in Experimental and Cognitive Psychology (72 citations), Computer Networks and Communications (98 citations) and Computer Science Applications (20 citations). Zhicheng Dai has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Liang Zhao, Xiaoliang Zhu, Bingwen Wang, Zhi Li, Tao Yun, Jie Cao, Jinming Hu, Siyu Li, Xibin Wang and Minghui Cheng. Their work appears in journals such as International Journal of Molecular Sciences, Spine and PLoS Biology.
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.