Kai Zhao

1.2k citations
51 papers · 787 indexed · h-index 13
Topics
Recommender Systems and Techniques (8 papers)Caching and Content Delivery (8 papers)Topic Modeling (6 papers)

In The Last Decade

Kai Zhao

42 papers receiving 757 citations

Peers

Kai Zhao
Comparison fields: 5 of 77
  • Artificial Intelligence 380
  • Computer Networks and Communications 315
  • Information Systems 240
  • Signal Processing 86
  • Computer Vision and Pattern Recognition 78
Replace Alex Thomo with:
Alex Thomo Canada
Vladimir Vlassov Sweden
Shravan Narayanamurthy United States
Kamran Zamanifar Iran
Dionysios Logothetis United States
Andrea Pugliese Italy
Ashwin Lall United States
Aaron Harwood Australia
Kai Zhao relative to Alex Thomo Canada Alex Thomo's profile →
Citations per field
00.5×3.3×
Alex Thomo · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 0
4 11
5 7
6 8
7 0
8 1
9 2
10 1
11 3
12 25
13 3
14 2
15
Reducing solid-state storage device write stress through opportunistic in-place delta compression
36
16 181
17
Maximizing Timely Content Advertising in Delay Tolerant Networks
2
18
Time-series Analysis Based on the Regression Residual Method in the Course of Dam Deformation Monitoring and Forecast
0
19
An Architecture of the Internet of Things Based on the "Compass" System
0
20
A Hybrid Model for Sense Guessing of Chinese Unknown Words
0

About Kai Zhao

Kai Zhao is a scholar working on Software, Signal Processing and Information Systems, having authored 51 papers that have together received 787 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (8 papers), Caching and Content Delivery (8 papers) and Topic Modeling (6 papers). The work is most often cited by research in Computer Networks and Communications (315 citations), Artificial Intelligence (380 citations) and Information Systems (240 citations). Kai Zhao has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Qiang Yang, Nathan N. Liu, Ou Jin, Yong Yu, Nanning Zheng, Xiao‐Dong Zhang, Wenzhe Zhao, Hongbin Sun, Tong Zhang and Xiangnan He. Their work appears in journals such as Nature Communications, Expert Systems with Applications and Sensors.

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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