Kai Zhao

104 total papers · 1.2k total citations
49 papers, 769 citations indexed

About

Kai Zhao is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Kai Zhao has authored 49 papers receiving a total of 769 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 16 papers in Information Systems and 14 papers in Computer Networks and Communications. Recurrent topics in Kai Zhao's work include Recommender Systems and Techniques (8 papers), Caching and Content Delivery (8 papers) and Topic Modeling (6 papers). Kai Zhao is often cited by papers focused on Recommender Systems and Techniques (8 papers), Caching and Content Delivery (8 papers) and Topic Modeling (6 papers). Kai Zhao collaborates with scholars based in China, United States and Finland. Kai Zhao's co-authors include Qiang Yang, Ou Jin, Yong Yu, Nathan N. Liu, Tong Zhang, Xiao‐Dong Zhang, Hongbin Sun, Nanning Zheng, Wenzhe Zhao and Xiangnan He and has published in prestigious journals such as Expert Systems with Applications, Sensors and Mechanical Systems and Signal Processing.

In The Last Decade

Kai Zhao

42 papers receiving 739 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 Zhao 375 314 239 83 73 49 769
Ranieri Baraglia 264 0.7× 287 0.9× 362 1.5× 97 1.2× 80 1.1× 58 730
Yihua Huang 394 1.1× 218 0.7× 345 1.4× 81 1.0× 191 2.6× 78 798
Zhen Chen 252 0.7× 364 1.2× 347 1.5× 94 1.1× 75 1.0× 51 705
Irene Finocchi 186 0.5× 323 1.0× 144 0.6× 75 0.9× 80 1.1× 63 658
Kevin L. Mills 174 0.5× 583 1.9× 295 1.2× 53 0.6× 40 0.5× 66 817
Lu Zhou 385 1.0× 312 1.0× 277 1.2× 54 0.7× 124 1.7× 59 749
Erich Schikuta 258 0.7× 418 1.3× 432 1.8× 93 1.1× 79 1.1× 108 777
JF Baldwin 322 0.9× 170 0.5× 137 0.6× 75 0.9× 94 1.3× 30 714
Guoqing Xiao 241 0.6× 322 1.0× 141 0.6× 177 2.1× 152 2.1× 54 736
Bo Li 325 0.9× 392 1.2× 224 0.9× 126 1.5× 111 1.5× 78 781

Countries citing papers authored by Kai Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Kai Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Zhao

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026