Keke Gai

98 papers and 3.5k indexed citations i.

About

Keke Gai is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Keke Gai has authored 98 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Information Systems, 50 papers in Computer Networks and Communications and 37 papers in Artificial Intelligence. Recurrent topics in Keke Gai’s work include IoT and Edge/Fog Computing (37 papers), Blockchain Technology Applications and Security (35 papers) and Privacy-Preserving Technologies in Data (18 papers). Keke Gai is often cited by papers focused on IoT and Edge/Fog Computing (37 papers), Blockchain Technology Applications and Security (35 papers) and Privacy-Preserving Technologies in Data (18 papers). Keke Gai collaborates with scholars based in China, United States and New Zealand. Keke Gai's co-authors include Meikang Qiu, Liehuang Zhu, Hui Zhao, Yulu Wu, Kim‐Kwang Raymond Choo, Xiaotong Sun, Ziliang Zong, Longfei Qiu, Lixin Tao and Meng Shen and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, IEEE Journal on Selected Areas in Communications and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Keke Gai i

Fields of papers citing papers by Keke Gai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Keke Gai

Since Specialization
Citations

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).

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.

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2025