Kai Lei
Impact in
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- Caching and Content Delivery
- IoT and Edge/Fog Computing
- Network Security and Intrusion Detection
- Cooperative Communication and Network Coding
- Artificial Intelligence top 1%
- Topic Modeling
- Advanced Graph Neural Networks
Papers in
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- Topic Modeling 32
- Advanced Graph Neural Networks 13
- Advanced Text Analysis Techniques 13
-
- Caching and Content Delivery 45
- Cooperative Communication and Network Coding 20
- Opportunistic and Delay-Tolerant Networks 15
- Co-authors
- Ying Shen (31 shared papers)Min Yang (22 shared papers)Bo Bai (9 shared papers)Meng Qin (6 shared papers)Kuai Xu (15 shared papers)Tong Jin (2 shared papers)Yaliang Li (14 shared papers)Zhuyun Qi (6 shared papers)
- Journals
- IEEE Access (4 papers)Neural Computing and Applications (3 papers)Expert Systems with Applications (2 papers)Journal of Biomedical Informatics (2 papers)Information Sciences (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Kai Lei
149 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 129
- Computer Networks and Communications 985
- Artificial Intelligence 1.2k
- Information Systems 712
- Statistical and Nonlinear Physics 224
- Computer Vision and Pattern Recognition 308
Countries citing papers authored by Kai Lei
This map shows the geographic impact of Kai Lei'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 Kai Lei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Lei more than expected).
Fields of papers citing papers by Kai Lei
This network shows the impact of papers produced by Kai Lei. 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 Kai Lei. The network helps show where Kai Lei may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Lei, 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 163 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 150 | |
| 2 | 2019 | 141 | |
| 3 | 2020 | 118 | |
| 4 | 2018 | 106 | |
| 5 | 2018 | 98 | |
| 6 | 2019 | 94 | |
| 7 | 2019 | 75 | |
| 8 | 2014 | 75 | |
| 9 | 2018 | 63 | |
| 10 | 2018 | 62 | |
| 11 | 2017 | 58 | |
| 12 | 2019 | 57 | |
| 13 | 2014 | 57 | |
| 14 | 2015 | 56 | |
| 15 | 2017 | 49 | |
| 16 | 2018 | 48 | |
| 17 | 2018 | 44 | |
| 18 | 2019 | 41 | |
| 19 | 2018 | 41 | |
| 20 | 2020 | 38 |
About Kai Lei
Kai Lei is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Statistical and Nonlinear Physics and Computer Vision and Pattern Recognition, having authored 163 papers that have together received 2.6k indexed citations. Recurring topics across this work include Caching and Content Delivery (45 papers), Topic Modeling (32 papers), Cooperative Communication and Network Coding (20 papers), Complex Network Analysis Techniques (16 papers), Opportunistic and Delay-Tolerant Networks (15 papers), Blockchain Technology Applications and Security (14 papers), Advanced Graph Neural Networks (13 papers) and Advanced Text Analysis Techniques (13 papers). The work is most often cited by research in Computer Networks and Communications (985 citations), Artificial Intelligence (1.2k citations), Information Systems (712 citations), Statistical and Nonlinear Physics (224 citations) and Computer Vision and Pattern Recognition (308 citations). Kai Lei has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Ying Shen, Min Yang, Bo Bai, Meng Qin, Kuai Xu, Tong Jin, Yaliang Li, Zhuyun Qi, Min Yang and Gong Zhang. Their work appears in journals such as IEEE Access, Neural Computing and Applications, Expert Systems with Applications, Journal of Biomedical Informatics and Information Sciences.
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.