Lu Wang
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- Wireless Networks and Protocols 23
- Software-Defined Networks and 5G 20
- Cooperative Communication and Network Coding 19
- Signal Processing top 2%
- Human-Computer Interaction top 2%
- Artificial Intelligence top 1%
- Topic Modeling 23
- Natural Language Processing Techniques 15
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- Indoor and Outdoor Localization Technologies 21
- Advanced MIMO Systems Optimization 17
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- EEG and Brain-Computer Interfaces 14
- Cited by
- Computer Networks and CommunicationsSignal ProcessingComputer Vision and Pattern Recognition
- Journals
- IEEE Transactions on Mobile Computing (9 papers)IEEE Transactions on Wireless Communications (6 papers)Scientific Reports (4 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Lu Wang
336 papers receiving 4.2k citations
Peers
Comparison fields: 5 of 193
- Computer Networks and Communications 1.2k
- Signal Processing 424
- Computer Vision and Pattern Recognition 591
- Human-Computer Interaction 159
- Artificial Intelligence 877
Countries citing papers authored by Lu Wang
This map shows the geographic impact of Lu 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 Lu Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lu Wang more than expected).
Fields of papers citing papers by Lu Wang
This network shows the impact of papers produced by Lu 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 Lu Wang. The network helps show where Lu Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lu 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 | 3 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 3 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 4 | |
| 8 | 2024 | 2 | |
| 9 | 2023 | 22 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 17 | |
| 12 | 2022 | 3 | |
| 13 | 2021 | 8 | |
| 14 | 2021 | 19 | |
| 15 | 2021 | 7 | |
| 16 | 2019 | 28 | |
| 17 | 2018 | 10 | |
| 18 | 2018 | 31 | |
| 19 | Research and Design of Embedded Video Monitoring System Based on WLAN | 2008 | 1 |
| 20 | Task_role_based Access Control Model for Military Use | 2006 | 1 |
About Lu Wang
Lu Wang is a scholar working on Computer Networks and Communications, Human-Computer Interaction, Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 381 papers that have together received 4.3k indexed citations. Recurring topics across this work include Topic Modeling (23 papers), Wireless Networks and Protocols (23 papers), Indoor and Outdoor Localization Technologies (21 papers), Software-Defined Networks and 5G (20 papers), Cooperative Communication and Network Coding (19 papers), Advanced MIMO Systems Optimization (17 papers), Natural Language Processing Techniques (15 papers) and EEG and Brain-Computer Interfaces (14 papers). The work is most often cited by research in Computer Networks and Communications (1.2k citations), Signal Processing (424 citations), Computer Vision and Pattern Recognition (591 citations), Human-Computer Interaction (159 citations) and Artificial Intelligence (877 citations). Lu Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Kaishun Wu, Jiang Xiao, Lionel M. Ni, Youwen Yi, Mounir Hamdi, Jun Xu, Rukhsana Ruby, Junmei Yao, Eldar Sadikov and Yandao Huang. Their work appears in journals such as IEEE Transactions on Mobile Computing, IEEE Transactions on Wireless Communications, Scientific Reports, Neurocomputing and IEEE Wireless 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.