Lei Jiao
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- Optimization and Search Problems 17
- Cognitive Radio Networks and Spectrum Sensing 12
- Wireless Communication Networks Research 9
- Cooperative Communication and Network Coding 9
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- Advanced MIMO Systems Optimization 18
- Smart Grid Energy Management 6
- Artificial Intelligence top 5%
- Machine Learning and Algorithms 12
- Topic Modeling 6
- Management Information Systems top 10%
- Co-authors
- Ole‐Christoffer GranmoYing WangFrank Y. LiZiaul Haq AbbasMorten GoodwinYuanbin ChenVicent PlaGhulam Abbas
- Cited by
- Computer Networks and CommunicationsElectrical and Electronic EngineeringArtificial Intelligence
- Journals
- IEEE Access (7 papers)Sensors (4 papers)IEEE Transactions on Wireless Communications (4 papers)
- Partner nations
- NorwayChinaUnited Kingdom
In The Last Decade
Lei Jiao
82 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 90
- Computer Networks and Communications 696
- Electrical and Electronic Engineering 665
- Artificial Intelligence 332
- Computer Vision and Pattern Recognition 130
- Management Information Systems 40
Countries citing papers authored by Lei Jiao
This map shows the geographic impact of Lei Jiao'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 Lei Jiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lei Jiao more than expected).
Fields of papers citing papers by Lei Jiao
This network shows the impact of papers produced by Lei Jiao. 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 Lei Jiao. The network helps show where Lei Jiao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lei Jiao, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 0 | |
| 8 | 2023 | 11 | |
| 9 | 2023 | 20 | |
| 10 | 2023 | 6 | |
| 11 | 2023 | 4 | |
| 12 | 2023 | 10 | |
| 13 | 2023 | 8 | |
| 14 | 2023 | 11 | |
| 15 | 2023 | 0 | |
| 16 | 2022 | 17 | |
| 17 | 2021 | 24 | |
| 18 | 2021 | 37 | |
| 19 | Massively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scaling | 2021 | 2 |
| 20 | 2019 | 10 |
About Lei Jiao
Lei Jiao is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 93 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (18 papers), Optimization and Search Problems (17 papers), Machine Learning and Algorithms (12 papers), Cognitive Radio Networks and Spectrum Sensing (12 papers), Wireless Communication Networks Research (9 papers), Cooperative Communication and Network Coding (9 papers), Topic Modeling (6 papers) and Smart Grid Energy Management (6 papers). The work is most often cited by research in Computer Networks and Communications (696 citations), Electrical and Electronic Engineering (665 citations) and Artificial Intelligence (332 citations). Lei Jiao has collaborated with scholars based in Norway, China and United Kingdom. Frequent co-authors include Ole‐Christoffer Granmo, Ying Wang, Frank Y. Li, Ziaul Haq Abbas, Morten Goodwin, Yuanbin Chen, Vicent Pla, Ghulam Abbas, Fazal Muhammad and Xuan Zhang. Their work appears in journals such as IEEE Access, Sensors, IEEE Transactions on Wireless Communications, Applied Intelligence and IEEE Transactions on Neural Networks and Learning Systems.
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.