Kai Han
Impact in
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- Mobile Crowdsensing and Crowdsourcing
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- Energy Efficient Wireless Sensor Networks
- Software-Defined Networks and 5G
- Mobile Ad Hoc Networks
Papers in
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- Optimization and Search Problems 18
- Caching and Content Delivery 13
- Software-Defined Networks and 5G 13
- Mobile Ad Hoc Networks 9
- Co-authors
- Jun Luo (19 shared papers)Yang Liu (3 shared papers)He Huang (15 shared papers)Athanasios V. Vasilakos (1 shared paper)Zuqing Zhu (12 shared papers)Chi Zhang (2 shared papers)Jing Tang (14 shared papers)Shengru Li (8 shared papers)
- Journals
- IEEE/ACM Transactions on Networking (4 papers)ACM SIGMETRICS Performance Evaluation Review (3 papers)IEEE Transactions on Network and Service Management (3 papers)IEEE Access (3 papers)IEEE Transactions on Knowledge and Data Engineering (3 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Kai Han
87 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 68
- Computer Science Applications 295
- Computer Networks and Communications 732
- Transportation 126
- Management Science and Operations Research 134
- Statistical and Nonlinear Physics 128
Countries citing papers authored by Kai Han
This map shows the geographic impact of Kai Han'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 Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Han more than expected).
Fields of papers citing papers by Kai Han
This network shows the impact of papers produced by Kai Han. 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 Han. The network helps show where Kai Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Han, 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 94 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 173 | |
| 2 | 2015 | 70 | |
| 3 | 2015 | 57 | |
| 4 | 2018 | 51 | |
| 5 | 2018 | 47 | |
| 6 | 2016 | 45 | |
| 7 | 2018 | 42 | |
| 8 | 2012 | 41 | |
| 9 | 2012 | 41 | |
| 10 | 2017 | 37 | |
| 11 | 2015 | 36 | |
| 12 | 2020 | 34 | |
| 13 | 2017 | 33 | |
| 14 | 2018 | 30 | |
| 15 | 2014 | 29 | |
| 16 | 2019 | 22 | |
| 17 | 2007 | 22 | |
| 18 | 2017 | 20 | |
| 19 | 2013 | 18 | |
| 20 | 2017 | 18 |
About Kai Han
Kai Han is a scholar working on Computer Networks and Communications, Artificial Intelligence, Computational Theory and Mathematics, Computer Science Applications and Electrical and Electronic Engineering, having authored 94 papers that have together received 1.3k indexed citations. Recurring topics across this work include Optimization and Search Problems (18 papers), Complexity and Algorithms in Graphs (16 papers), Mobile Crowdsensing and Crowdsourcing (16 papers), Caching and Content Delivery (13 papers), Software-Defined Networks and 5G (13 papers), Auction Theory and Applications (10 papers), Complex Network Analysis Techniques (10 papers) and Mobile Ad Hoc Networks (9 papers). The work is most often cited by research in Computer Science Applications (295 citations), Computer Networks and Communications (732 citations), Transportation (126 citations), Management Science and Operations Research (134 citations) and Statistical and Nonlinear Physics (128 citations). Kai Han has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Jun Luo, Yang Liu, He Huang, Athanasios V. Vasilakos, Zuqing Zhu, Chi Zhang, Jing Tang, Shengru Li, Chi Zhang and Shaojie Tang. Their work appears in journals such as IEEE/ACM Transactions on Networking, ACM SIGMETRICS Performance Evaluation Review, IEEE Transactions on Network and Service Management, IEEE Access and IEEE Transactions on Knowledge and Data Engineering.
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.