Xiaofan He
Impact in
-
- IoT and Edge/Fog Computing
- Cognitive Radio Networks and Spectrum Sensing
- Security in Wireless Sensor Networks
- Artificial Intelligence top 5%
- Privacy-Preserving Technologies in Data
Papers in
-
- IoT and Edge/Fog Computing 19
- Network Security and Intrusion Detection 13
- Age of Information Optimization 9
-
- UAV Applications and Optimization 13
- Journals
- IEEE Transactions on Wireless Communications (11 papers)IEEE Internet of Things Journal (4 papers)IEEE Journal on Selected Areas in Communications (2 papers)IEEE Transactions on Neural Networks and Learning Systems (2 papers)IEEE Transactions on Communications (2 papers)
- Partner nations
- United StatesChinaMacao
In The Last Decade
Xiaofan He
71 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 70
- Computer Networks and Communications 715
- Artificial Intelligence 373
- Computer Science Applications 49
- Aerospace Engineering 212
- Electrical and Electronic Engineering 489
Countries citing papers authored by Xiaofan He
This map shows the geographic impact of Xiaofan He'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 Xiaofan He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaofan He more than expected).
Fields of papers citing papers by Xiaofan He
This network shows the impact of papers produced by Xiaofan He. 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 Xiaofan He. The network helps show where Xiaofan He may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaofan He, 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 | 2024 | 19 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 6 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 6 | |
| 9 | 2022 | 10 | |
| 10 | 2022 | 35 | |
| 11 | 2021 | 35 | |
| 12 | 2020 | 51 | |
| 13 | 2020 | 2 | |
| 14 | 2019 | 15 | |
| 15 | 2019 | 5 | |
| 16 | 2019 | 57 | |
| 17 | 2018 | 9 | |
| 18 | 2018 | 66 | |
| 19 | 2018 | 5 | |
| 20 | 2018 | 1 |
About Xiaofan He
Xiaofan He is a scholar working on Computer Networks and Communications, Aerospace Engineering, Computer Science Applications, Artificial Intelligence and Electrical and Electronic Engineering, having authored 79 papers that have together received 1.1k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (19 papers), Wireless Communication Security Techniques (18 papers), Network Security and Intrusion Detection (13 papers), UAV Applications and Optimization (13 papers), Privacy-Preserving Technologies in Data (13 papers), Advanced Wireless Communication Technologies (11 papers), Age of Information Optimization (9 papers) and Energy Harvesting in Wireless Networks (7 papers). The work is most often cited by research in Computer Networks and Communications (715 citations), Artificial Intelligence (373 citations), Computer Science Applications (49 citations), Aerospace Engineering (212 citations) and Electrical and Electronic Engineering (489 citations). Xiaofan He has collaborated with scholars based in United States, China and Macao. Frequent co-authors include Huaiyu Dai, Richeng Jin, Peng Ning, Wenbo Shen, Peng Ning, Juan Liu, Kaitao Meng, Rudra Dutta, Deshi Li and Tianheng Li. Their work appears in journals such as IEEE Transactions on Wireless Communications, IEEE Internet of Things Journal, IEEE Journal on Selected Areas in Communications, IEEE Transactions on Neural Networks and Learning Systems and IEEE Transactions on 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.