Kehua Yang
Impact in
- Information Systems top 10%
- Blockchain Technology Applications and Security
- Cloud Computing and Resource Management
- User Authentication and Security Systems
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- IoT and Edge/Fog Computing
- Network Security and Intrusion Detection
Papers in
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- Advanced Database Systems and Queries 3
- Co-authors
- Hongbo Jiang (9 shared papers)Schahram Dustdar (4 shared papers)Zhu Xiao (8 shared papers)Jiangchuan Liu (4 shared papers)Shenyuan Xu (1 shared paper)Jiali Yang (3 shared papers)Renfa Li (2 shared papers)John C. S. Lui (2 shared papers)
In The Last Decade
Kehua Yang
19 papers receiving 268 citations
Peers
Comparison fields: 5 of 69
- Information Systems 98
- Computer Networks and Communications 87
- Signal Processing 35
- Artificial Intelligence 64
- Computer Vision and Pattern Recognition 40
Countries citing papers authored by Kehua Yang
This map shows the geographic impact of Kehua Yang'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 Kehua Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kehua Yang more than expected).
Fields of papers citing papers by Kehua Yang
This network shows the impact of papers produced by Kehua Yang. 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 Kehua Yang. The network helps show where Kehua Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Kehua Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 85 | |
| 2 | 2023 | 69 | |
| 3 | 2021 | 33 | |
| 4 | 2021 | 15 | |
| 5 | 2023 | 13 | |
| 6 | 2025 | 11 | |
| 7 | 2022 | 8 | |
| 8 | 2018 | 6 | |
| 9 | 2022 | 6 | |
| 10 | 2018 | 6 | |
| 11 | A dynamic materialized view Selection in a Cloud-based Data Warehouse | 2014 | 6 |
| 12 | 2024 | 3 | |
| 13 | 2018 | 3 | |
| 14 | 2020 | 3 | |
| 15 | 2012 | 3 | |
| 16 | 2023 | 2 | |
| 17 | 2025 | 1 | |
| 18 | 2013 | 1 | |
| 19 | 2021 | 1 | |
| 20 | 2021 | 1 |
About Kehua Yang
Kehua Yang is a scholar working on Information Systems, Computer Networks and Communications, Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 24 papers that have together received 276 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (3 papers), Data Management and Algorithms (3 papers), Transportation Planning and Optimization (3 papers), Human Mobility and Location-Based Analysis (3 papers), Traffic Prediction and Management Techniques (3 papers), Higher Education Learning Practices (2 papers), Vehicular Ad Hoc Networks (VANETs) (2 papers) and Real-Time Systems Scheduling (2 papers). The work is most often cited by research in Information Systems (98 citations), Computer Networks and Communications (87 citations), Signal Processing (35 citations), Artificial Intelligence (64 citations) and Computer Vision and Pattern Recognition (40 citations). Kehua Yang has collaborated with scholars based in China, Hong Kong and Austria. Frequent co-authors include Hongbo Jiang, Schahram Dustdar, Zhu Xiao, Jiangchuan Liu, Shenyuan Xu, Jiali Yang, Renfa Li, John C. S. Lui, Xiangyu Shen and Jun Luo. Their work appears in journals such as IEEE Internet of Things Journal, IEEE Transactions on Mobile Computing, IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Industrial Informatics and IEEE Journal on Selected Areas in Communications.
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.