Kevin I‐Kai Wang
-
- Energy Efficient Wireless Sensor Networks 16
- IoT and Edge/Fog Computing 15
- Artificial Intelligence top 0.5%
- Anomaly Detection Techniques and Applications 17
- Privacy-Preserving Technologies in Data 16
-
- Context-Aware Activity Recognition Systems 21
- Video Surveillance and Tracking Methods 12
- Information Systems top 0.5%
-
- Indoor and Outdoor Localization Technologies 16
- Energy Harvesting in Wireless Networks 11
Kevin I‐Kai Wang
158 papers receiving 5.2k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Industrial and Manufacturing Engineering 976
- Computer Networks and Communications 1.3k
- Artificial Intelligence 1.7k
- Computer Vision and Pattern Recognition 968
- Information Systems 794
Countries citing papers authored by Kevin I‐Kai Wang
This map shows the geographic impact of Kevin I‐Kai Wang'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 Kevin I‐Kai Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin I‐Kai Wang more than expected).
Fields of papers citing papers by Kevin I‐Kai Wang
This network shows the impact of papers produced by Kevin I‐Kai Wang. 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 Kevin I‐Kai Wang. The network helps show where Kevin I‐Kai Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kevin I‐Kai Wang, 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 | 8 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 10 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 44 | |
| 9 | 2024 | 41 | |
| 10 | 2023 | 71 | |
| 11 | 2023 | 31 | |
| 12 | 2023 | 17 | |
| 13 | Digital Twin Enhanced Federated Reinforcement Learning With Lightweight Knowledge Distillation in Mobile Networksbreakdown → | 2023 | 119 |
| 14 | 2022 | 96 | |
| 15 | 2022 | 34 | |
| 16 | Deep Correlation Mining Based on Hierarchical Hybrid Networks for Heterogeneous Big Data Recommendationsbreakdown → | 2020 | 231 |
| 17 | 2019 | 17 | |
| 18 | 2019 | 119 | |
| 19 | 2018 | 27 | |
| 20 | 2017 | 5 |
About Kevin I‐Kai Wang
Kevin I‐Kai Wang is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing and Hardware and Architecture, having authored 168 papers that have together received 5.4k indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (21 papers), Anomaly Detection Techniques and Applications (17 papers), Indoor and Outdoor Localization Technologies (16 papers), Privacy-Preserving Technologies in Data (16 papers), Energy Efficient Wireless Sensor Networks (16 papers), IoT and Edge/Fog Computing (15 papers), Video Surveillance and Tracking Methods (12 papers) and Energy Harvesting in Wireless Networks (11 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (976 citations), Computer Networks and Communications (1.3k citations), Artificial Intelligence (1.7k citations), Computer Vision and Pattern Recognition (968 citations) and Information Systems (794 citations). Kevin I‐Kai Wang has collaborated with scholars based in New Zealand, Japan and China. Frequent co-authors include Xiaokang Zhou, Wei Liang, Zoran Salčić, Yuqian Lu, Xun Xu, Chao Liu, Huiyue Huang, Qun Jin, Laurence T. Yang and Zheng Yan. Their work appears in journals such as IEEE Transactions on Industrial Informatics, Sensors, IEEE Internet of Things Journal, IEEE Sensors Journal and IEEE Transactions on Instrumentation and Measurement.
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.