Yunkai Zhai
- Computer Networks and Communications top 10%
- Molecular Biology
- General Health Professions top 10%
- Public Health, Environmental and Occupational Health
- Information Systems top 10%
- Topics
- Telemedicine and Telehealth Implementation (7 papers)IoT and Edge/Fog Computing (5 papers)Mobile Health and mHealth Applications (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Cleaner ProductionIEEE Journal on Selected Areas in Communications
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yunkai Zhai
33 papers receiving 624 citations
Peers
Comparison fields: 5 of 120
- Computer Networks and Communications 125
- Molecular Biology 101
- General Health Professions 96
- Public Health, Environmental and Occupational Health 90
- Information Systems 84
Countries citing papers authored by Yunkai Zhai
This map shows the geographic impact of Yunkai Zhai'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 Yunkai Zhai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yunkai Zhai more than expected).
Fields of papers citing papers by Yunkai Zhai
This network shows the impact of papers produced by Yunkai Zhai. 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 Yunkai Zhai. The network helps show where Yunkai Zhai may publish in the future.
Co-authorship network of co-authors of Yunkai Zhai
This figure shows the co-authorship network connecting the top 25 collaborators of Yunkai Zhai. A scholar is included among the top collaborators of Yunkai Zhai 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 Yunkai Zhai. Yunkai Zhai 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 | 7 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 46 | |
| 6 | 13 | |
| 7 | 22 | |
| 8 | 0 | |
| 9 | 48 | |
| 10 | 1 | |
| 11 | 119 | |
| 12 | 17 | |
| 13 | 4 | |
| 14 | 27 | |
| 15 | 10 | |
| 16 | 60 | |
| 17 | 6 | |
| 18 | 27 | |
| 19 | Research on the functions of developing telemedicine service and establishing regional medical conjoined system. | 2 |
| 20 | 1 |
About Yunkai Zhai
Yunkai Zhai is a scholar working on Health Information Management, Modeling and Simulation and Cancer Research, having authored 37 papers that have together received 642 indexed citations. Recurring topics across this work include Telemedicine and Telehealth Implementation (7 papers), IoT and Edge/Fog Computing (5 papers) and Mobile Health and mHealth Applications (5 papers). The work is most often cited by research in Health Informatics (13 citations), Computer Networks and Communications (125 citations) and Cancer Research (81 citations). Yunkai Zhai has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jie Zhao, Baozhan Chen, Lifeng Li, Dongxu Sun, Wenhua Xue, Huimin Lu, Zhirui Fan, Minzhao Lyu, Siyuan Qiao and Weijun Zhu. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and IEEE Journal on Selected Areas in Communications.
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.