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 United States. Minrui Xu's co-authors include Dusit Niyato, Jiawen Kang, Zehui Xiong, Xuemin Shen, Chunyan Miao, Dong In Kim, Wei Yang Bryan Lim, 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

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Full Dive Into Realizing the Edge-Enabled Metaverse: Visions, Enabling Technologies, and Challenges

2022 371 citations Minrui Xu, Wei Yang Bryan Lim et al. IEEE Communications Surveys & Tutorials profile →
Unleashing the Power of Edge-Cloud Generative AI in Mobile Networks: A Survey of AIGC Services

2024 186 citations Minrui Xu, Hongyang Du et al. IEEE Communications Surveys & Tutorials profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Minrui Xu China	20	601	469	350	320	214	86	1.6k
Thomas Strang Germany	21	644 1.1×	340 0.7×	339 1.0×	539 1.7×	658 3.1×	90	1.6k
Vir V. Phoha United States	25	445 0.7×	682 1.5×	1.2k 3.3×	289 0.9×	452 2.1×	130	2.4k
Judith Kelner Brazil	21	1.3k 2.2×	511 1.1×	578 1.7×	271 0.8×	358 1.7×	171	1.9k
Ken Sakamura Japan	18	512 0.9×	193 0.4×	294 0.8×	482 1.5×	253 1.2×	195	1.5k
Prasad Calyam United States	26	1.2k 2.0×	367 0.8×	692 2.0×	269 0.8×	372 1.7×	201	2.0k
Claudia Linnhoff‐Popien Germany	16	613 1.0×	549 1.2×	377 1.1×	242 0.8×	648 3.0×	131	1.5k
Mushu Li Canada	18	1.1k 1.8×	366 0.8×	196 0.6×	890 2.8×	194 0.9×	56	1.8k
Nhu‐Ngoc Dao South Korea	25	1.2k 2.1×	252 0.5×	246 0.7×	805 2.5×	276 1.3×	114	2.1k
Latif U. Khan South Korea	19	927 1.5×	442 0.9×	380 1.1×	1.1k 3.5×	197 0.9×	73	2.4k
Brandon Amos United States	17	834 1.4×	352 0.8×	382 1.1×	240 0.8×	746 3.5×	31	1.8k

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

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

Chen, Yixuan, Jiawen Kang, Minrui Xu, et al.. (2024). Fluid Antenna Relay Assisted Communication Systems Through Antenna Location Optimization. 1140–1145. 2 indexed citations

Ren, Chao, Minrui Xu, Han Yu, et al.. (2024). Variational Quantum Circuit and Quantum Key Distribution-Based Quantum Federated Learning: A Case of Smart Grid Dynamic Security Assessment. 1115–1120. 3 indexed citations

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

Xu, Minrui, Hongyang Du, Dusit Niyato, et al.. (2024). Unleashing the Power of Edge-Cloud Generative AI in Mobile Networks: A Survey of AIGC Services. IEEE Communications Surveys & Tutorials. 26(2). 1127–1170. 186 indexed citations breakdown →

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

Xu, Minrui, Jiawen Kang, Zehui Xiong, et al.. (2024). Multi-Attribute Auction-Based Resource Allocation for Twins Migration in Vehicular Metaverses: A GPT-Based DRL Approach. IEEE Transactions on Cognitive Communications and Networking. 11(1). 638–654. 6 indexed citations

Yuan, Xiaoming, et al.. (2024). Efficient Inference Offloading for Mixture-of-Experts Large Language Models in Internet of Medical Things. Electronics. 13(11). 2077–2077. 5 indexed citations

Kang, Jiawen, Minrui Xu, Zehui Xiong, et al.. (2024). UAV-Assisted Dynamic Avatar Task Migration for Vehicular Metaverse Services: A Multi-Agent Deep Reinforcement Learning Approach. IEEE/CAA Journal of Automatica Sinica. 11(2). 430–445. 29 indexed citations

10.

Ren, Chao, Zhao Yang Dong, Han Yu, et al.. (2024). ESQFL: Digital Twin-Driven Explainable and Secured Quantum Federated Learning for Voltage Stability Assessment in Smart Grids. IEEE Journal of Selected Topics in Signal Processing. 18(5). 964–978. 8 indexed citations

11.

Xu, Minrui, Jianshu Zhang, Zixin Chen, et al.. (2024). FIRST: Teach A Reliable Large Language Model Through Efficient Trustworthy Distillation. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 12646–12659.

12.

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

13.

Xu, Minrui, Tongqing Zhou, Xinyi Wu, et al.. (2024). One-shot-but-not-degraded Federated Learning. 11070–11079.

14.

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

15.

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

16.

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

17.

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

18.

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

19.

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

20.

Xu, Minrui, Dusit Niyato, Zhaohui Yang, et al.. (2022). Privacy-Preserving Intelligent Resource Allocation for Federated Edge Learning in Quantum Internet. IEEE Journal of Selected Topics in Signal Processing. 17(1). 142–157. 22 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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