Minrui Xu

2.7k total citations · 2 hit papers
86 papers, 1.6k citations indexed

About

Minrui Xu is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Minrui Xu has authored 86 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 27 papers in Electrical and Electronic Engineering and 26 papers in Computer Networks and Communications. Recurrent topics in Minrui Xu's work include Privacy-Preserving Technologies in Data (20 papers), IoT and Edge/Fog Computing (16 papers) and Blockchain Technology Applications and Security (15 papers). Minrui Xu is often cited by papers focused on Privacy-Preserving Technologies in Data (20 papers), IoT and Edge/Fog Computing (16 papers) and Blockchain Technology Applications and Security (15 papers). Minrui Xu collaborates with scholars based in China, Singapore and South Korea. Minrui Xu's co-authors include Dusit Niyato, Jiawen Kang, Zehui Xiong, Xuemin Shen, Chunyan Miao, Wei Yang Bryan Lim, Dong In Kim, Shiwen Mao, Wei Chong Ng and Qiang Yang and has published in prestigious journals such as Proceedings of the IEEE, IEEE Communications Surveys & Tutorials and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Minrui Xu

78 papers receiving 1.6k citations

Hit Papers

A Full Dive Into Realizin... 2022 2026 2023 2024 2022 2024 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Minrui Xu 601 469 350 320 214 86 1.6k
Thomas Strang 644 1.1× 340 0.7× 339 1.0× 539 1.7× 658 3.1× 90 1.6k
Vir V. Phoha 445 0.7× 682 1.5× 1.2k 3.3× 289 0.9× 452 2.1× 130 2.4k
Ken Sakamura 512 0.9× 193 0.4× 294 0.8× 482 1.5× 253 1.2× 195 1.5k
Judith Kelner 1.3k 2.2× 511 1.1× 578 1.7× 271 0.8× 358 1.7× 171 1.9k
Prasad Calyam 1.2k 2.0× 367 0.8× 692 2.0× 269 0.8× 372 1.7× 201 2.0k
Howard Shrobe 651 1.1× 1.2k 2.5× 520 1.5× 280 0.9× 193 0.9× 86 2.1k
Claudia Linnhoff‐Popien 613 1.0× 549 1.2× 377 1.1× 242 0.8× 648 3.0× 131 1.5k
Mushu Li 1.1k 1.8× 366 0.8× 196 0.6× 890 2.8× 194 0.9× 56 1.8k
Brandon Amos 834 1.4× 352 0.8× 382 1.1× 240 0.8× 746 3.5× 31 1.8k
Nhu‐Ngoc Dao 1.2k 2.1× 252 0.5× 246 0.7× 805 2.5× 276 1.3× 114 2.1k

Countries citing papers authored by Minrui Xu

Since Specialization
Citations

This map shows the geographic impact of Minrui Xu'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 Minrui Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minrui Xu more than expected).

Fields of papers citing papers by Minrui Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Minrui Xu. 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 Minrui Xu. The network helps show where Minrui Xu may publish in the future.

Co-authorship network of co-authors of Minrui Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Minrui Xu. A scholar is included among the top collaborators of Minrui Xu 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 Minrui Xu. Minrui Xu 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.
Ren, Chao, Rudai Yan, Han Yu, et al.. (2025). Toward Quantum Federated Learning. IEEE Transactions on Neural Networks and Learning Systems. 36(9). 15580–15600. 9 indexed citations
2.
Chen, Yixuan, Jiawen Kang, Minrui Xu, et al.. (2024). Fluid Antenna Relay Assisted Communication Systems Through Antenna Location Optimization. 1140–1145. 2 indexed citations
4.
Zhang, Tao, Changqiao Xu, Wei Dong, et al.. (2024). Deep Reinforcement Learning-Based Moving Target Defense for Multicast in Software-Defined Satellite Networks. 4786–4791. 2 indexed citations
5.
Kang, Jiawen, Minrui Xu, Helin Yang, et al.. (2024). Deep Reinforcement Learning based Multi-attribute Auction Model for Resource Allocation in Vehicular AIGC Services. Research Portal (Queen's University Belfast). 36–42. 1 indexed citations
6.
Liu, Jiqiang, Tao Zhang, Jian Wang, et al.. (2024). Blockchain and Trusted Hardware-Enabled Data Scheduling for Edge Learning in Wireless IIoT. IEEE Internet of Things Journal. 11(21). 34229–34242. 3 indexed citations
7.
Zhang, Qi, Haipeng Yao, Fu Wang, et al.. (2024). Multi-Agent DDPG Based Resource Allocation in NOMA-Enabled Satellite IoT. IEEE Transactions on Communications. 72(10). 6287–6300. 6 indexed citations
8.
Yuan, Xiaoming, Jiayu Yang, Minrui Xu, et al.. (2024). Efficient IoV Resource Management Through Enhanced Clustering, Matching, and Offloading in DT-Enabled Edge Computing. IEEE Internet of Things Journal. 11(18). 30172–30186. 8 indexed citations
9.
Li, Honglian, et al.. (2023). A New Method for Determining Outdoor Humidity Ratio of Natatorium in Transition Season. Energies. 16(7). 2990–2990. 1 indexed citations
10.
Ren, Chao, Rudai Yan, Minrui Xu, et al.. (2023). QFDSA: A Quantum-Secured Federated Learning System for Smart Grid Dynamic Security Assessment. IEEE Internet of Things Journal. 11(5). 8414–8426. 13 indexed citations
11.
Liew, Zi Qin, Minrui Xu, Wei Yang Bryan Lim, et al.. (2023). Mechanism Design for Semantic Communication in UAV-Assisted Metaverse: A Combinatorial Auction Approach. IEEE Transactions on Vehicular Technology. 73(2). 2236–2251. 9 indexed citations
12.
Nie, Jiangtian, Minrui Xu, Lingjuan Lyu, et al.. (2023). Multiple-Agent Deep Reinforcement Learning for Avatar Migration in Vehicular Metaverses. 1258–1265. 8 indexed citations
13.
Xu, Minrui, Dusit Niyato, Hongliang Zhang, et al.. (2023). Generative AI-Empowered Simulation for Autonomous Driving in Vehicular Mixed Reality Metaverses. IEEE Journal of Selected Topics in Signal Processing. 17(5). 1064–1079. 75 indexed citations
14.
Huang, Yudong, Minrui Xu, Xinyuan Zhang, et al.. (2023). AI-Generated Network Design: A Diffusion Model-Based Learning Approach. IEEE Network. 38(3). 202–209. 26 indexed citations
15.
Xu, Minrui, Dusit Niyato, Hongliang Zhang, et al.. (2023). Sparks of Generative Pretrained Transformers in Edge Intelligence for the Metaverse: Caching and Inference for Mobile Artificial Intelligence-Generated Content Services. IEEE Vehicular Technology Magazine. 18(4). 35–44. 39 indexed citations
16.
Xu, Minrui, Xiaoxu Ren, Dusit Niyato, et al.. (2023). When Quantum Information Technologies Meet Blockchain in Web 3.0. IEEE Network. 38(2). 255–263. 32 indexed citations
17.
Kaewpuang, Rakpong, Minrui Xu, Wei Yang Bryan Lim, et al.. (2023). Cooperative Resource Management in Quantum Key Distribution (QKD) Networks for Semantic Communication. IEEE Internet of Things Journal. 11(3). 4454–4469. 16 indexed citations
18.
Xu, Minrui, Dusit Niyato, Benjamin D. Wright, et al.. (2023). EPViSA: Efficient Auction Design for Real-Time Physical-Virtual Synchronization in the Human-Centric Metaverse. IEEE Journal on Selected Areas in Communications. 42(3). 694–709. 13 indexed citations
19.
Kang, Jiawen, Minrui Xu, Zehui Xiong, et al.. (2023). Multiagent Deep Reinforcement Learning for Dynamic Avatar Migration in AIoT-Enabled Vehicular Metaverses With Trajectory Prediction. IEEE Internet of Things Journal. 11(1). 70–83. 28 indexed citations
20.
Xu, Minrui, Wei Chong Ng, Wei Yang Bryan Lim, et al.. (2022). A Full Dive Into Realizing the Edge-Enabled Metaverse: Visions, Enabling Technologies, and Challenges. IEEE Communications Surveys & Tutorials. 25(1). 656–700. 371 indexed citations breakdown →

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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