Daibo Liu
Impact in
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- Energy Efficient Wireless Sensor Networks
- IoT and Edge/Fog Computing
- Mobile Ad Hoc Networks
- Network Security and Intrusion Detection
- Signal Processing top 5%
Papers in
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- Biometric Identification and Security 6
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- Gaze Tracking and Assistive Technology 6
- Journals
- IEEE Transactions on Mobile Computing (10 papers)IEEE Internet of Things Journal (8 papers)ACM Transactions on Sensor Networks (7 papers)IEEE/ACM Transactions on Networking (4 papers)Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Daibo Liu
66 papers receiving 902 citations
Peers
Comparison fields: 5 of 92
- Computer Networks and Communications 390
- Signal Processing 151
- Human-Computer Interaction 50
- Computer Vision and Pattern Recognition 164
- Artificial Intelligence 233
Countries citing papers authored by Daibo Liu
This map shows the geographic impact of Daibo Liu'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 Daibo Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daibo Liu more than expected).
Fields of papers citing papers by Daibo Liu
This network shows the impact of papers produced by Daibo Liu. 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 Daibo Liu. The network helps show where Daibo Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daibo Liu, 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 | 2024 | 15 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 27 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 14 | |
| 9 | 2023 | 12 | |
| 10 | 2023 | 7 | |
| 11 | 2023 | 16 | |
| 12 | 2022 | 85 | |
| 13 | 2022 | 19 | |
| 14 | 2021 | 12 | |
| 15 | 2020 | 101 | |
| 16 | 2020 | 22 | |
| 17 | 2019 | 50 | |
| 18 | 2019 | 1 | |
| 19 | 2018 | 27 | |
| 20 | 2016 | 4 |
About Daibo Liu
Daibo Liu is a scholar working on Signal Processing, Human-Computer Interaction, Computer Networks and Communications, Computer Science Applications and Information Systems, having authored 67 papers that have together received 919 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (17 papers), User Authentication and Security Systems (11 papers), Indoor and Outdoor Localization Technologies (11 papers), Mobile Ad Hoc Networks (11 papers), Energy Harvesting in Wireless Networks (9 papers), Opportunistic and Delay-Tolerant Networks (8 papers), Gaze Tracking and Assistive Technology (6 papers) and Biometric Identification and Security (6 papers). The work is most often cited by research in Computer Networks and Communications (390 citations), Signal Processing (151 citations), Human-Computer Interaction (50 citations), Computer Vision and Pattern Recognition (164 citations) and Artificial Intelligence (233 citations). Daibo Liu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Hongbo Jiang, Mengshu Hou, Zhu Xiao, Siwang Zhou, Jiangchuan Liu, Zhichao Cao, Fanzi Zeng, Jingyang Hu, Jun Luo and Schahram Dustdar. Their work appears in journals such as IEEE Transactions on Mobile Computing, IEEE Internet of Things Journal, ACM Transactions on Sensor Networks, IEEE/ACM Transactions on Networking and Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies.
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.