Keke Gai
- Information Systems top 0.05%
- Computer Networks and Communications top 0.2%
- Artificial Intelligence top 0.5%
- Electrical and Electronic Engineering top 5%
- Computer Vision and Pattern Recognition top 1%
- Co-authors
- Meikang QiuLiehuang ZhuHui ZhaoYulu WuKim‐Kwang Raymond ChooXiaotong SunLixin TaoZiliang Zong
- Topics
- Blockchain Technology Applications and Security (64 papers)Big Data and Digital Economy (52 papers)IoT and Edge/Fog Computing (51 papers)
- Journals
- IEEE Communications Surveys & TutorialsIEEE AccessIEEE Journal on Selected Areas in Communications
- Partner nations
- ChinaUnited StatesNew Zealand
In The Last Decade
Keke Gai
174 papers receiving 6.6k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Information Systems 4.5k
- Computer Networks and Communications 2.9k
- Artificial Intelligence 2.0k
- Electrical and Electronic Engineering 1.1k
- Computer Vision and Pattern Recognition 678
Countries citing papers authored by Keke Gai
This map shows the geographic impact of Keke Gai'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 Keke Gai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keke Gai more than expected).
Fields of papers citing papers by Keke Gai
This network shows the impact of papers produced by Keke Gai. 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 Keke Gai. The network helps show where Keke Gai may publish in the future.
Co-authorship network of co-authors of Keke Gai
This figure shows the co-authorship network connecting the top 25 collaborators of Keke Gai. A scholar is included among the top collaborators of Keke Gai 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 Keke Gai. Keke Gai 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 | 6 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 3 | |
| 10 | 4 | |
| 11 | 8 | |
| 12 | 2 | |
| 13 | 0 | |
| 14 | 2 | |
| 15 | 1 | |
| 16 | 0 | |
| 17 | 6 | |
| 18 | 8 | |
| 19 | 25 | |
| 20 | 1 |
About Keke Gai
Keke Gai is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence, having authored 189 papers that have together received 6.8k indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (64 papers), Big Data and Digital Economy (52 papers) and IoT and Edge/Fog Computing (51 papers). The work is most often cited by research in Information Systems (4.5k citations), Computer Networks and Communications (2.9k citations) and Hardware and Architecture (429 citations). Keke Gai has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Meikang Qiu, Liehuang Zhu, Hui Zhao, Yulu Wu, Kim‐Kwang Raymond Choo, Xiaotong Sun, Lixin Tao, Ziliang Zong, Longfei Qiu and Meng Shen. Their work appears in journals such as IEEE Communications Surveys & Tutorials, IEEE Access 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.