Jiawei Shao
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- IoT and Edge/Fog Computing 5
- Age of Information Optimization 3
- Artificial Intelligence top 5%
- Privacy-Preserving Technologies in Data 9
- Stochastic Gradient Optimization Techniques 3
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- Advanced Neural Network Applications 4
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- Wireless Communication Security Techniques 4
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- Advanced Thermodynamics and Statistical Mechanics 5
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- Thermodynamic and Exergetic Analyses of Power and Cooling Systems 5
- Co-authors
- Jun ZhangYuyi MaoXinjie ZhangFangzhao WuJessie Hui WangKhaled B. LetaiefHaowei ZhangDongsheng Li
- Cited by
- Computer Networks and CommunicationsArtificial IntelligenceComputer Vision and Pattern Recognition
- Journals
- Nature Communications (1 paper)Energy Conversion and Management (1 paper)IEEE Journal on Selected Areas in Communications (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Jiawei Shao
41 papers receiving 875 citations
Hit Papers
Peers
Comparison fields: 5 of 72
- Computer Networks and Communications 291
- Artificial Intelligence 372
- Computer Vision and Pattern Recognition 156
- Health Informatics 7
- Electrical and Electronic Engineering 220
Countries citing papers authored by Jiawei Shao
This map shows the geographic impact of Jiawei Shao'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 Jiawei Shao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiawei Shao more than expected).
Fields of papers citing papers by Jiawei Shao
This network shows the impact of papers produced by Jiawei Shao. 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 Jiawei Shao. The network helps show where Jiawei Shao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jiawei Shao, 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 | 6 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 1 | |
| 5 | 2025 | 3 | |
| 6 | 2025 | 0 | |
| 7 | 2025 | 0 | |
| 8 | 2024 | 2 | |
| 9 | 2024 | 6 | |
| 10 | 2024 | 1 | |
| 11 | 2024 | 33 | |
| 12 | 2024 | 4 | |
| 13 | 2024 | 27 | |
| 14 | 2023 | 19 | |
| 15 | 2023 | 1 | |
| 16 | 2023 | 3 | |
| 17 | 2022 | 33 | |
| 18 | 2022 | 1 | |
| 19 | 2021 | 9 | |
| 20 | 2020 | 99 |
About Jiawei Shao
Jiawei Shao is a scholar working on Health Informatics, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 44 papers that have together received 893 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (9 papers), IoT and Edge/Fog Computing (5 papers), Advanced Thermodynamics and Statistical Mechanics (5 papers), Thermodynamic and Exergetic Analyses of Power and Cooling Systems (5 papers), Wireless Communication Security Techniques (4 papers), Advanced Neural Network Applications (4 papers), Age of Information Optimization (3 papers) and Stochastic Gradient Optimization Techniques (3 papers). The work is most often cited by research in Computer Networks and Communications (291 citations), Artificial Intelligence (372 citations) and Computer Vision and Pattern Recognition (156 citations). Jiawei Shao has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Jun Zhang, Yuyi Mao, Xinjie Zhang, Fangzhao Wu, Jessie Hui Wang, Khaled B. Letaief, Haowei Zhang, Dongsheng Li, Yifei Shen and Hao Pan. Their work appears in journals such as Nature Communications, Energy Conversion and Management 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.