Kai Zhang
- Aerospace Engineering top 2%
- Infrared Target Detection Methodologies 26
- Guidance and Control Systems 15
- Military Defense Systems Analysis 14
- Media Technology top 5%
- Advanced Image Fusion Techniques 8
- Artificial Intelligence top 10%
- Domain Adaptation and Few-Shot Learning 11
- Environmental Engineering top 10%
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- Advanced Measurement and Detection Methods 17
- Optical Systems and Laser Technology 10
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- Power Systems and Renewable Energy 8
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Kai Zhang
118 papers receiving 994 citations
Peers
Comparison fields: 5 of 102
- Aerospace Engineering 521
- Computer Vision and Pattern Recognition 195
- Media Technology 63
- Artificial Intelligence 191
- Environmental Engineering 80
Countries citing papers authored by Kai Zhang
This map shows the geographic impact of Kai Zhang'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 Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Zhang more than expected).
Fields of papers citing papers by Kai Zhang
This network shows the impact of papers produced by Kai Zhang. 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 Zhang. The network helps show where Kai Zhang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kai Zhang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2024 | 12 | |
| 3 | 2024 | 0 | |
| 4 | 2022 | 23 | |
| 5 | 2020 | 24 | |
| 6 | 2020 | 37 | |
| 7 | 2020 | 11 | |
| 8 | 2020 | 17 | |
| 9 | 2020 | 7 | |
| 10 | 2020 | 9 | |
| 11 | 2020 | 2 | |
| 12 | Testing Independence with the Binary Expansion Randomized Ensemble Test | 2019 | 2 |
| 13 | 2018 | 109 | |
| 14 | 2017 | 1 | |
| 15 | A probe-fed stacked U-slot patch antena for satellite applications | 2017 | 1 |
| 16 | 2015 | 4 | |
| 17 | Review on Self-healing Control Technique in Smart Distribution Grid | 2013 | 1 |
| 18 | Covariate Shift in Hilbert Space: A Solution via Sorrogate Kernels | 2013 | 33 |
| 19 | Design and optimization of broadband single-layer reflectarray | 2013 | 1 |
| 20 | Infrared Modeling of Aircraft Targets with Imaging Detector | 2012 | 1 |
About Kai Zhang
Kai Zhang is a scholar working on Aerospace Engineering, Energy Engineering and Power Technology, Acoustics and Ultrasonics, Media Technology and Electrical and Electronic Engineering, having authored 130 papers that have together received 1.0k indexed citations. Recurring topics across this work include Infrared Target Detection Methodologies (26 papers), Advanced Measurement and Detection Methods (17 papers), Guidance and Control Systems (15 papers), Military Defense Systems Analysis (14 papers), Domain Adaptation and Few-Shot Learning (11 papers), Optical Systems and Laser Technology (10 papers), Power Systems and Renewable Energy (8 papers) and Advanced Image Fusion Techniques (8 papers). The work is most often cited by research in Aerospace Engineering (521 citations), Computer Vision and Pattern Recognition (195 citations), Media Technology (63 citations), Artificial Intelligence (191 citations) and Environmental Engineering (80 citations). Kai Zhang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhen Yang, Weiren Kong, Deyun Zhou, Shaoyi Li, Yiyang Zhao, Caiyong Chen, Yan Bao, Dai Zhou, Ning Ma and Hang Lei. Their work appears in journals such as IEEE Access, Optik, Applied Sciences, IEEE Communications Letters and Electronics.
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.