Ming Xiao

15.1k total citations · 7 hit papers
396 papers, 10.6k citations indexed

About

Ming Xiao is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Aerospace Engineering. According to data from OpenAlex, Ming Xiao has authored 396 papers receiving a total of 10.6k indexed citations (citations by other indexed papers that have themselves been cited), including 305 papers in Electrical and Electronic Engineering, 217 papers in Computer Networks and Communications and 61 papers in Aerospace Engineering. Recurrent topics in Ming Xiao's work include Cooperative Communication and Network Coding (134 papers), Advanced MIMO Systems Optimization (105 papers) and Advanced Wireless Communication Technologies (105 papers). Ming Xiao is often cited by papers focused on Cooperative Communication and Network Coding (134 papers), Advanced MIMO Systems Optimization (105 papers) and Advanced Wireless Communication Technologies (105 papers). Ming Xiao collaborates with scholars based in Sweden, China and United States. Ming Xiao's co-authors include Zheng Ma, Shaoqian Li, Yue Xiao, George K. Karagiannidis, Zhengquan Zhang, Pingzhi Fan, Zhiguo Ding, Mikael Skoglund, Ping Yang and Yue Xiao and has published in prestigious journals such as PLoS ONE, Langmuir and Scientific Reports.

In The Last Decade

Ming Xiao

363 papers receiving 10.3k citations

Hit Papers

6G Wireless Networks: Vision, Requirements, Architecture,... 2016 2026 2019 2022 2019 2017 2019 2017 2016 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming Xiao Sweden 44 8.1k 4.3k 2.2k 1.0k 603 396 10.6k
Rahim Tafazolli United Kingdom 51 9.0k 1.1× 7.1k 1.7× 2.5k 1.1× 786 0.8× 457 0.8× 829 12.2k
Zhangdui Zhong China 58 11.9k 1.5× 3.5k 0.8× 3.9k 1.8× 789 0.8× 978 1.6× 713 14.0k
Guoqiang Mao Australia 44 6.6k 0.8× 5.3k 1.2× 1.3k 0.6× 741 0.7× 257 0.4× 263 9.1k
Tao Jiang China 56 8.9k 1.1× 5.4k 1.3× 1.3k 0.6× 1.2k 1.2× 314 0.5× 553 13.1k
Shanzhi Chen China 37 5.5k 0.7× 3.4k 0.8× 1.9k 0.8× 461 0.5× 338 0.6× 214 7.6k
Xin Liu China 48 5.7k 0.7× 5.0k 1.2× 2.2k 1.0× 769 0.8× 598 1.0× 499 9.4k
Yang Yang China 45 6.4k 0.8× 5.6k 1.3× 1.2k 0.6× 917 0.9× 347 0.6× 658 10.6k
Qiang Ni United Kingdom 54 6.6k 0.8× 6.1k 1.4× 1.4k 0.7× 1.1k 1.1× 303 0.5× 357 10.4k
Xiaohu You China 56 14.9k 1.8× 7.4k 1.7× 3.9k 1.8× 1.4k 1.3× 642 1.1× 1.0k 18.0k
İsmail Güvenç United States 44 8.0k 1.0× 4.4k 1.0× 3.4k 1.5× 1.0k 1.0× 400 0.7× 280 10.3k

Countries citing papers authored by Ming Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Ming Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Xiao

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Xiao. A scholar is included among the top collaborators of Ming Xiao 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 Ming Xiao. Ming Xiao 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.
Li, Chengxi, Ming Xiao, & Mikael Skoglund. (2025). Adaptive Coded Federated Learning: Privacy Preservation and Straggler Mitigation. IEEE Transactions on Communications. 73(11). 11448–11462.
2.
Kronqvist, Jan, et al.. (2025). Fusing model-based and data-driven prognostic methods for real-time model updating. Mechanical Systems and Signal Processing. 238. 113200–113200.
3.
Zhou, Yi, et al.. (2025). Physical Layer Authentication for UAV Communications Under Rayleigh and Rician Channels. IEEE Transactions on Wireless Communications. 24(4). 2722–2733. 2 indexed citations
4.
She, Yongxin, Miao Wang, Mengqiang Wang, et al.. (2024). Rapid nondestructive hardness detection of black highland Barley Kernels via hyperspectral imaging. Journal of Food Composition and Analysis. 127. 105966–105966. 9 indexed citations
5.
Qi, Nan, et al.. (2024). Reconfigurable Intelligent Surfaces Aided Energy Efficiency Maximization in Cell-Free Networks. IEEE Wireless Communications Letters. 13(6). 1596–1600. 2 indexed citations
6.
Zhang, Lin, Feng Zhai, Chang Liu, & Ming Xiao. (2024). Intelligent Cloud-Edge Collaboration for Mixed Continuous-Discrete Resource Allocation in Heterogeneous Networks. IEEE Transactions on Wireless Communications. 23(12). 19412–19427.
7.
Zhang, Deyou, et al.. (2024). Fluid Antenna Array Enhanced Over-the-Air Computation. IEEE Wireless Communications Letters. 13(6). 1541–1545. 22 indexed citations
8.
Xiao, Ming, et al.. (2024). Fast-Converging Decentralized ADMM for Consensus Optimization. 575–580. 1 indexed citations
9.
Zhang, Haihui, et al.. (2024). Amplitude Phase Shift Keying-Aided Space-Time Block Coded Differential Spatial Modulation. 3888–3893. 1 indexed citations
10.
Qi, Nan, et al.. (2024). Trajectory Planning for UAV-Assisted Data Collection in IoT Network: A Double Deep Q Network Approach. Electronics. 13(8). 1592–1592. 16 indexed citations
11.
Fei, Zesong, et al.. (2024). Optimizing Distribution and Feedback for Short LT Codes With Reinforcement Learning. IEEE Transactions on Communications. 73(2). 1169–1185.
12.
Qi, Nan, et al.. (2023). Transmit/Passive Beamforming Design for Multi-IRS Assisted Cell-Free MIMO Networks. IEEE Systems Journal. 1–10. 10 indexed citations
13.
Lei, Xia, et al.. (2022). On the Efficient Design of RIS-Assisted MIMO Transmission. GLOBECOM 2022 - 2022 IEEE Global Communications Conference. 2346–2351. 4 indexed citations
14.
Huang, Shaocheng, Ming Xiao, & H. Vincent Poor. (2021). Achievable Rate Analysis of Millimeter Wave Channels Using Random Coding Error Exponents. IEEE Transactions on Wireless Communications. 21(1). 250–263. 1 indexed citations
15.
Ma, Zheng, Zhiguo Ding, Ming Xiao, et al.. (2021). Resource Allocation for Energy-Efficient NOMA System in Coordinated Multi-Point Networks. IEEE Transactions on Vehicular Technology. 70(2). 1577–1591. 12 indexed citations
16.
Zhang, Yi, Ming Xiao, Shuai Han, Mikael Skoglund, & Weixiao Meng. (2019). On Precoding and Energy Efficiency of Full-Duplex Millimeter-Wave Relays. IEEE Transactions on Wireless Communications. 18(3). 1943–1956. 52 indexed citations
17.
Schaefer, Rafael F., et al.. (2018). Strong Secrecy for Interference Channels Based on Channel Resolvability. IEEE Transactions on Information Theory. 64(7). 5110–5130. 9 indexed citations
18.
Zhang, Lin, et al.. (2018). Decentralized Caching Schemes and Performance Limits in Two-Layer Networks. IEEE Transactions on Vehicular Technology. 67(12). 12177–12192. 13 indexed citations
19.
Qi, Nan, Ming Xiao, Theodoros A. Tsiftsis, et al.. (2017). Efficient Coded Cooperative Networks With Energy Harvesting and Transferring. IEEE Transactions on Wireless Communications. 16(10). 6335–6349. 15 indexed citations
20.
Xiao, Ming. (2004). Some concatenated and iterative decoding approaches for continuous phase modulation. Chalmers Publication Library (Chalmers University of Technology). 3 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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