Junzhao Du
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- Energy Efficient Wireless Sensor Networks 13
- IoT and Edge/Fog Computing 7
- Mobile Ad Hoc Networks 6
- Security in Wireless Sensor Networks 5
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- Context-Aware Activity Recognition Systems 5
- Signal Processing top 10%
- Time Series Analysis and Forecasting 5
- Artificial Intelligence top 5%
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- Indoor and Outdoor Localization Technologies 7
- Energy Harvesting in Wireless Networks 4
- Co-authors
- Hui LiuSicong LiuZimu ZhouYingyan LinKewei ShaWeisong ShiZhihan YangKai Wang
- Cited by
- Computer Networks and CommunicationsComputer Vision and Pattern RecognitionSignal Processing
- Journals
- Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (3 papers)Tsinghua Science & Technology (3 papers)Engineering Applications of Artificial Intelligence (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Junzhao Du
45 papers receiving 744 citations
Peers
Comparison fields: 5 of 74
- Computer Networks and Communications 355
- Computer Vision and Pattern Recognition 259
- Signal Processing 92
- Artificial Intelligence 205
- Electrical and Electronic Engineering 235
Countries citing papers authored by Junzhao Du
This map shows the geographic impact of Junzhao Du'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 Junzhao Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junzhao Du more than expected).
Fields of papers citing papers by Junzhao Du
This network shows the impact of papers produced by Junzhao Du. 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 Junzhao Du. The network helps show where Junzhao Du may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Junzhao Du, 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 | 0 | |
| 4 | 2024 | 8 | |
| 5 | 2024 | 4 | |
| 6 | 2023 | 31 | |
| 7 | 2023 | 34 | |
| 8 | 2023 | 20 | |
| 9 | 2023 | 4 | |
| 10 | 2023 | 10 | |
| 11 | 2022 | 23 | |
| 12 | 2022 | 4 | |
| 13 | 2022 | 22 | |
| 14 | 2021 | 27 | |
| 15 | 2021 | 0 | |
| 16 | 2020 | 24 | |
| 17 | 2019 | 20 | |
| 18 | 2018 | 7 | |
| 19 | 2016 | 3 | |
| 20 | 2010 | 3 |
About Junzhao Du
Junzhao Du is a scholar working on Computer Networks and Communications, Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition and Process Chemistry and Technology, having authored 49 papers that have together received 769 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (13 papers), IoT and Edge/Fog Computing (7 papers), Indoor and Outdoor Localization Technologies (7 papers), Mobile Ad Hoc Networks (6 papers), Context-Aware Activity Recognition Systems (5 papers), Time Series Analysis and Forecasting (5 papers), Security in Wireless Sensor Networks (5 papers) and Energy Harvesting in Wireless Networks (4 papers). The work is most often cited by research in Computer Networks and Communications (355 citations), Computer Vision and Pattern Recognition (259 citations), Signal Processing (92 citations), Artificial Intelligence (205 citations) and Electrical and Electronic Engineering (235 citations). Junzhao Du has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Hui Liu, Sicong Liu, Zimu Zhou, Yingyan Lin, Kewei Sha, Weisong Shi, Hui Liu, Zhihan Yang, Kai Wang and Deke Guo. Their work appears in journals such as Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, Tsinghua Science & Technology, Engineering Applications of Artificial Intelligence, Mobile Networks and Applications and IEEE Internet of Things Journal.
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.