Tie Qiu
Impact in
- Computer Networks and Communications top 0.1%
- IoT and Edge/Fog Computing
- Energy Efficient Wireless Sensor Networks
- Opportunistic and Delay-Tolerant Networks
- Caching and Content Delivery
- Mobile Ad Hoc Networks
- Information Systems top 0.2%
- Blockchain Technology Applications and Security
Papers in
-
- Energy Efficient Wireless Sensor Networks 52
- IoT and Edge/Fog Computing 45
- Opportunistic and Delay-Tolerant Networks 34
- Mobile Ad Hoc Networks 30
- Caching and Content Delivery 17
- Co-authors
- Chen ChenDapeng WuMin HanHuansheng NingMohammed AtiquzzamanPengfei HuXiaobo ZhouMeiling Xu
- Journals
- IEEE Internet of Things Journal (24 papers)IEEE Transactions on Mobile Computing (19 papers)IEEE Transactions on Industrial Informatics (18 papers)IEEE Access (10 papers)IEEE/ACM Transactions on Networking (8 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Tie Qiu
248 papers receiving 8.9k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Computer Networks and Communications 5.0k
- Information Systems 1.6k
- Computer Vision and Pattern Recognition 1.3k
- Artificial Intelligence 2.0k
- Electrical and Electronic Engineering 3.0k
Countries citing papers authored by Tie Qiu
This map shows the geographic impact of Tie Qiu'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 Tie Qiu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tie Qiu more than expected).
Fields of papers citing papers by Tie Qiu
This network shows the impact of papers produced by Tie Qiu. 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 Tie Qiu. The network helps show where Tie Qiu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tie Qiu, 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 | 2024 | 1 | |
| 3 | 2024 | 10 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 8 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 1 | |
| 9 | 2022 | 5 | |
| 10 | 2021 | 53 | |
| 11 | 2021 | 34 | |
| 12 | 2020 | 28 | |
| 13 | 2020 | 103 | |
| 14 | 2019 | 34 | |
| 15 | 2019 | 54 | |
| 16 | 2019 | 86 | |
| 17 | 2019 | 6 | |
| 18 | 2019 | 29 | |
| 19 | 2018 | 159 | |
| 20 | 2018 | 68 |
About Tie Qiu
Tie Qiu is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems and Signal Processing, having authored 261 papers that have together received 9.1k indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (52 papers), IoT and Edge/Fog Computing (45 papers), Opportunistic and Delay-Tolerant Networks (34 papers), Mobile Ad Hoc Networks (30 papers), Vehicular Ad Hoc Networks (VANETs) (28 papers), Blockchain Technology Applications and Security (18 papers), Caching and Content Delivery (17 papers) and Complex Network Analysis Techniques (15 papers). The work is most often cited by research in Computer Networks and Communications (5.0k citations), Information Systems (1.6k citations), Computer Vision and Pattern Recognition (1.3k citations), Artificial Intelligence (2.0k citations) and Electrical and Electronic Engineering (3.0k citations). Tie Qiu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Chen Chen, Dapeng Wu, Min Han, Huansheng Ning, Mohammed Atiquzzaman, Pengfei Hu, Xiaobo Zhou, Meiling Xu, Sahraoui Dhelim and Ning Chen. Their work appears in journals such as IEEE Internet of Things Journal, IEEE Transactions on Mobile Computing, IEEE Transactions on Industrial Informatics, IEEE Access and IEEE/ACM Transactions on Networking.
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.