Tao Gu
Impact in
-
- Context-Aware Activity Recognition Systems
- Computer Networks and Communications top 0.5%
- IoT and Edge/Fog Computing
- Energy Efficient Wireless Sensor Networks
Papers in
-
- Energy Efficient Wireless Sensor Networks 28
- IoT and Edge/Fog Computing 18
-
- Context-Aware Activity Recognition Systems 44
- Co-authors
- Hung Keng PungXianping TaoJian LüDaqing ZhangXiao Hang WangYuanqing ZhengLiang WangHaibo Ye
In The Last Decade
Tao Gu
215 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Computer Vision and Pattern Recognition 2.8k
- Computer Networks and Communications 2.5k
- Signal Processing 967
- Human-Computer Interaction 446
- Transportation 353
Countries citing papers authored by Tao Gu
This map shows the geographic impact of Tao Gu'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 Tao Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tao Gu more than expected).
Fields of papers citing papers by Tao Gu
This network shows the impact of papers produced by Tao Gu. 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 Tao Gu. The network helps show where Tao Gu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tao Gu, 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 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 7 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 17 | |
| 10 | 2024 | 1 | |
| 11 | 2023 | 4 | |
| 12 | 2023 | 20 | |
| 13 | 2023 | 5 | |
| 14 | 2022 | 8 | |
| 15 | 2022 | 5 | |
| 16 | 2021 | 8 | |
| 17 | 2021 | 19 | |
| 18 | 2020 | 75 | |
| 19 | 2019 | 1 | |
| 20 | Rapid: a multimodal and device-free approach using noise estimation for robust person identification | 2017 | 3 |
About Tao Gu
Tao Gu is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Computer Science Applications, Signal Processing and Human-Computer Interaction, having authored 229 papers that have together received 6.7k indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (52 papers), Context-Aware Activity Recognition Systems (44 papers), Energy Efficient Wireless Sensor Networks (28 papers), Energy Harvesting in Wireless Networks (23 papers), IoT Networks and Protocols (23 papers), Speech and Audio Processing (18 papers), IoT and Edge/Fog Computing (18 papers) and Mobile Crowdsensing and Crowdsourcing (16 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.8k citations), Computer Networks and Communications (2.5k citations), Signal Processing (967 citations), Human-Computer Interaction (446 citations) and Transportation (353 citations). Tao Gu has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Hung Keng Pung, Xianping Tao, Jian Lü, Daqing Zhang, Xiao Hang Wang, Yuanqing Zheng, Liang Wang, Haibo Ye, Xianjin Xia and Dan Wu. Their work appears in journals such as IEEE Transactions on Mobile Computing, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, IEEE Internet of Things Journal, IEEE/ACM Transactions on Networking and ACM Transactions on Sensor Networks.
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.