Xiaofan He

1.7k total citations
79 papers, 1.1k citations indexed

About

Xiaofan He is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Xiaofan He has authored 79 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Computer Networks and Communications, 37 papers in Electrical and Electronic Engineering and 21 papers in Artificial Intelligence. Recurrent topics in Xiaofan He's work include IoT and Edge/Fog Computing (19 papers), Wireless Communication Security Techniques (18 papers) and Network Security and Intrusion Detection (13 papers). Xiaofan He is often cited by papers focused on IoT and Edge/Fog Computing (19 papers), Wireless Communication Security Techniques (18 papers) and Network Security and Intrusion Detection (13 papers). Xiaofan He collaborates with scholars based in United States, China and Macao. Xiaofan He's co-authors include Huaiyu Dai, Richeng Jin, Peng Ning, Wenbo Shen, Peng Ning, Juan Liu, Kaitao Meng, Rudra Dutta, Deshi Li and Tianheng Li and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Xiaofan He

71 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Xiaofan He United States 21 715 489 373 212 171 79 1.1k
Minghui Min China 14 743 1.0× 509 1.0× 269 0.7× 237 1.1× 202 1.2× 33 1.1k
Fanzi Zeng China 16 609 0.9× 479 1.0× 264 0.7× 218 1.0× 95 0.6× 35 1.2k
Shuai Yu China 20 977 1.4× 566 1.2× 587 1.6× 265 1.3× 246 1.4× 36 1.7k
Chuanhe Huang China 18 723 1.0× 374 0.8× 296 0.8× 108 0.5× 228 1.3× 124 1.1k
Shuo Feng China 14 769 1.1× 488 1.0× 196 0.5× 198 0.9× 104 0.6× 31 1.1k
Sumudu Samarakoon Finland 19 1.0k 1.4× 1.1k 2.2× 713 1.9× 137 0.6× 144 0.8× 43 1.9k
Qiyang Zhao United Kingdom 10 539 0.8× 335 0.7× 454 1.2× 86 0.4× 148 0.9× 20 989
Suguo Du China 16 557 0.8× 348 0.7× 505 1.4× 114 0.5× 195 1.1× 34 1.1k
Katsuya Suto Japan 15 1.0k 1.4× 610 1.2× 203 0.5× 106 0.5× 303 1.8× 48 1.4k

Countries citing papers authored by Xiaofan He

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Xiaofan He

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaofan He. A scholar is included among the top collaborators of Xiaofan He based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiaofan He. Xiaofan He is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Tang, Jiaqi, Juan Liu, Xiaofan He, et al.. (2025). Deep Reinforcement Learning for AoI-Aware Trajectory and Phase-Shift Design in IRS-Assisted UAV Data Collection. IEEE Transactions on Wireless Communications. 24(12). 10613–10628.
2.
Lin, Zhijian, Xiaopei Chen, Xiaofan He, et al.. (2024). Energy-Efficient Cooperative Task Offloading in NOMA-Enabled Vehicular Fog Computing. IEEE Transactions on Intelligent Transportation Systems. 25(7). 7223–7236. 19 indexed citations
3.
Jin, Richeng, Xiaofan He, Caijun Zhong, et al.. (2024). Magnitude Matters: Fixing signSGD Through Magnitude-Aware Sparsification and Error Feedback in the Presence of Data Heterogeneity. IEEE Transactions on Signal Processing. 72. 5140–5155. 1 indexed citations
4.
Zhang, Jingzhe, Xiaofan He, & Huaiyu Dai. (2024). Speeding Up Distributed Learning via Sparse and Flexible Coded Computing. IEEE Transactions on Information Theory. 71(4). 3167–3180.
5.
Jin, Richeng, et al.. (2024). Sign-Based Gradient Descent With Heterogeneous Data: Convergence and Byzantine Resilience. IEEE Transactions on Neural Networks and Learning Systems. 36(2). 3834–3846. 6 indexed citations
6.
He, Xiaofan, et al.. (2023). Location Privacy-Aware and Energy-Efficient Offloading for Distributed Edge Computing. IEEE Transactions on Wireless Communications. 22(11). 7975–7988. 6 indexed citations
7.
He, Xiaofan, et al.. (2023). Dynamic Power Control for Delay-Optimal Coded Edge Computing. IEEE Transactions on Wireless Communications. 23(4). 3283–3297. 1 indexed citations
8.
Zhang, Jingzhe, Xiaofan He, & Huaiyu Dai. (2023). Blind Post-Decision State-Based Reinforcement Learning for Intelligent IoT. IEEE Internet of Things Journal. 10(12). 10605–10620. 6 indexed citations
9.
He, Xiaofan, Tianheng Li, Richeng Jin, & Huaiyu Dai. (2022). Delay-Optimal Coded Offloading for Distributed Edge Computing in Fading Environments. IEEE Transactions on Wireless Communications. 21(12). 10796–10808. 10 indexed citations
10.
Jin, Richeng, Xiaofan He, & Huaiyu Dai. (2022). Communication Efficient Federated Learning With Energy Awareness Over Wireless Networks. IEEE Transactions on Wireless Communications. 21(7). 5204–5219. 35 indexed citations
11.
He, Xiaofan, Richeng Jin, & Huaiyu Dai. (2021). Multi-Hop Task Offloading With On-the-Fly Computation for Multi-UAV Remote Edge Computing. IEEE Transactions on Communications. 70(2). 1332–1344. 35 indexed citations
12.
He, Xiaofan, Richeng Jin, & Huaiyu Dai. (2020). Physical-Layer Assisted Secure Offloading in Mobile-Edge Computing. IEEE Transactions on Wireless Communications. 19(6). 4054–4066. 51 indexed citations
13.
Zhang, Haibo, et al.. (2020). An Offloading Mechanism Based on Software Defined Network and Mobile Edge Computing in Vehicular Networks. 电子与信息学报. 42(3). 645–652. 2 indexed citations
14.
Jin, Richeng, Xiaofan He, & Huaiyu Dai. (2019). On the Security-Privacy Tradeoff in Collaborative Security: A Quantitative Information Flow Game Perspective. IEEE Transactions on Information Forensics and Security. 14(12). 3273–3286. 15 indexed citations
15.
Li, Hu, et al.. (2019). Computing Offloading and Resource Optimization in Ultra-dense Networks with Mobile Edge Computation. 电子与信息学报. 41(5). 1194–1201. 5 indexed citations
16.
He, Xiaofan, Richeng Jin, & Huaiyu Dai. (2019). Peace: Privacy-Preserving and Cost-Efficient Task Offloading for Mobile-Edge Computing. IEEE Transactions on Wireless Communications. 19(3). 1814–1824. 57 indexed citations
17.
Jin, Richeng, Xiaofan He, & Huaiyu Dai. (2018). Collaborative IDS Configuration: A Two-Layer Game-Theoretic Approach. IEEE Transactions on Cognitive Communications and Networking. 4(4). 803–815. 9 indexed citations
18.
He, Xiaofan, Richeng Jin, & Huaiyu Dai. (2018). Deep PDS-Learning for Privacy-Aware Offloading in MEC-Enabled IoT. IEEE Internet of Things Journal. 6(3). 4547–4555. 66 indexed citations
19.
He, Xiaofan, Richeng Jin, & Huaiyu Dai. (2018). Camouflaging Mobile Primary Users in Database-Driven Cognitive Radio Networks. IEEE Wireless Communications Letters. 8(1). 21–24. 5 indexed citations
20.
Zhang, Haibo, et al.. (2018). V2X Task Offloading Scheme Based on Mobile Edge Computing. 电子与信息学报. 40(11). 2736–2743. 1 indexed citations

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.

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