Kai Gao

36 total papers · 424 total citations
32 papers, 310 citations indexed

About

Kai Gao is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Information Systems. According to data from OpenAlex, Kai Gao has authored 32 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Networks and Communications, 10 papers in Electrical and Electronic Engineering and 7 papers in Information Systems. Recurrent topics in Kai Gao's work include Software-Defined Networks and 5G (26 papers), Network Traffic and Congestion Control (10 papers) and Cloud Computing and Resource Management (7 papers). Kai Gao is often cited by papers focused on Software-Defined Networks and 5G (26 papers), Network Traffic and Congestion Control (10 papers) and Cloud Computing and Resource Management (7 papers). Kai Gao collaborates with scholars based in China, United States and Spain. Kai Gao's co-authors include Jun Bi, Jian Wu, Ze Chen, Bin Hao, Yufan Yang, Baobao Zhang, Guangxu Chen, Changqiao Xu, Yangyang Wang and Yu Zhou and has published in prestigious journals such as IEEE Journal on Selected Areas in Communications, IEEE/ACM Transactions on Networking and Computer Networks.

In The Last Decade

Kai Gao

31 papers receiving 298 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kai Gao 284 101 58 37 23 32 310
Ahmed Meddahi 242 0.9× 78 0.8× 55 0.9× 45 1.2× 15 0.7× 39 295
Praveen Tammana 245 0.9× 63 0.6× 62 1.1× 27 0.7× 24 1.0× 25 262
Jingpu Duan 196 0.7× 51 0.5× 50 0.9× 51 1.4× 29 1.3× 32 249
Raphael Vicente Rosa 282 1.0× 105 1.0× 97 1.7× 19 0.5× 14 0.6× 19 321
Jonghwan Hyun 255 0.9× 135 1.3× 43 0.7× 37 1.0× 9 0.4× 24 294
Ruslan Smeliansky 331 1.2× 88 0.9× 58 1.0× 50 1.4× 25 1.1× 31 359
Shuo Zhang 246 0.9× 62 0.6× 146 2.5× 50 1.4× 19 0.8× 34 314
Nasser Alzeidi 221 0.8× 142 1.4× 28 0.5× 15 0.4× 29 1.3× 46 307
Rajeev Mohan Sharma 228 0.8× 112 1.1× 35 0.6× 25 0.7× 62 2.7× 24 274
Pedro A. Aranda Gutiérrez 268 0.9× 103 1.0× 34 0.6× 26 0.7× 6 0.3× 29 288

Countries citing papers authored by Kai Gao

Since Specialization
Citations

This map shows the geographic impact of Kai Gao'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 Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Gao more than expected).

Fields of papers citing papers by Kai Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kai Gao. 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 Gao. The network helps show where Kai Gao may publish in the future.

Co-authorship network of co-authors of Kai Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Gao. A scholar is included among the top collaborators of Kai Gao 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 Kai Gao. Kai Gao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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