Bo Ai

28.1k total citations · 9 hit papers
967 papers, 20.0k citations indexed

About

Bo Ai is a scholar working on Electrical and Electronic Engineering, Aerospace Engineering and Computer Networks and Communications. According to data from OpenAlex, Bo Ai has authored 967 papers receiving a total of 20.0k indexed citations (citations by other indexed papers that have themselves been cited), including 859 papers in Electrical and Electronic Engineering, 276 papers in Aerospace Engineering and 246 papers in Computer Networks and Communications. Recurrent topics in Bo Ai's work include Advanced MIMO Systems Optimization (397 papers), Millimeter-Wave Propagation and Modeling (391 papers) and Power Line Communications and Noise (183 papers). Bo Ai is often cited by papers focused on Advanced MIMO Systems Optimization (397 papers), Millimeter-Wave Propagation and Modeling (391 papers) and Power Line Communications and Noise (183 papers). Bo Ai collaborates with scholars based in China, United States and Singapore. Bo Ai's co-authors include Zhangdui Zhong, Ruisi He, Jiayi Zhang, Ke Guan, Danping He, Thomas Kürner, Andreas F. Molisch, Gongpu Wang, Jiakang Zheng and Yong Niu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Proceedings of the IEEE.

In The Last Decade

Bo Ai

899 papers receiving 19.8k citations

Hit Papers

Challenges Toward Wireless Communications for High-Speed ... 2014 2026 2018 2022 2014 2019 2018 2020 2021 100 200 300
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.

  1. Challenges Toward Wireless Communications for High-Speed Railway
    2014 376 citations Bo Ai, Xiang Cheng et al. profile →
  2. Cell-Free Massive MIMO: A New Next-Generation Paradigm
    2019 367 citations Jiayi Zhang, Jiakang Zheng et al. profile →
  3. When Mobile Crowd Sensing Meets UAV: Energy-Efficient Task Assignment and Route Planning
    2018 247 citations Bo Ai et al. IEEE Transactions on Communications profile →
  4. 5G Key Technologies for Smart Railways
    2020 241 citations Bo Ai, Zhangdui Zhong et al. profile →
  5. Wireless Image Transmission Using Deep Source Channel Coding With Attention Modules
    2021 239 citations Bo Ai et al. profile →
  6. A Tutorial on Extremely Large-Scale MIMO for 6G: Fundamentals, Signal Processing, and Applications
    2024 176 citations Zhe Wang, Jiayi Zhang et al. profile →
  7. Extremely Large-Scale MIMO: Fundamentals, Challenges, Solutions, and Future Directions
    2023 131 citations Bo Ai, Dusit Niyato et al. IEEE Wireless Communications profile →
  8. Enhancing Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization
    2024 111 citations Ruichen Zhang, Dusit Niyato et al. profile →
  9. RIS-Aided Cell-Free Massive MIMO Systems for 6G: Fundamentals, System Design, and Applications
    2024 95 citations Enyu Shi, Jiayi Zhang et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bo Ai China 71 16.8k 5.9k 5.1k 1.3k 1.1k 967 20.0k
Zhangdui Zhong China 58 11.9k 0.7× 3.9k 0.7× 3.5k 0.7× 978 0.8× 789 0.7× 713 14.0k
Xiaohu You China 56 14.9k 0.9× 3.9k 0.7× 7.4k 1.5× 642 0.5× 1.4k 1.3× 1.0k 18.0k
Petar Popovski Denmark 56 14.7k 0.9× 2.7k 0.5× 9.0k 1.8× 590 0.5× 912 0.8× 533 17.6k
Arumugam Nallanathan United Kingdom 73 18.7k 1.1× 7.2k 1.2× 9.8k 1.9× 313 0.2× 1.5k 1.3× 732 23.1k
Derrick Wing Kwan Ng Australia 86 22.6k 1.3× 9.2k 1.6× 7.0k 1.4× 368 0.3× 1.5k 1.4× 549 25.9k
Lingyang Song China 77 13.7k 0.8× 5.9k 1.0× 8.7k 1.7× 394 0.3× 963 0.9× 497 18.2k
Chau Yuen Singapore 78 22.8k 1.4× 8.8k 1.5× 7.4k 1.5× 443 0.3× 2.1k 1.9× 935 28.7k
Tony Q. S. Quek Singapore 68 13.1k 0.8× 3.1k 0.5× 11.8k 2.3× 487 0.4× 3.8k 3.5× 919 20.7k
Gerhard Fettweis Germany 60 18.1k 1.1× 1.5k 0.3× 13.0k 2.6× 888 0.7× 999 0.9× 1.0k 21.1k
Nei Kato Japan 77 12.5k 0.7× 5.7k 1.0× 14.4k 2.8× 622 0.5× 3.4k 3.2× 600 23.4k

Countries citing papers authored by Bo Ai

Since Specialization
Citations

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

Fields of papers citing papers by Bo Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bo Ai

This figure shows the co-authorship network connecting the top 25 collaborators of Bo Ai. A scholar is included among the top collaborators of Bo Ai 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 Bo Ai. Bo Ai 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.
Lu, Yang, et al.. (2025). Cramér–Rao Bound Optimization for Bistatic ISAC: Transceiver Design and Attention-Based ISACNet. IEEE Journal on Selected Areas in Communications. 44. 181–195. 1 indexed citations
2.
Lei, Hao, Jiayi Zhang, Zhe Wang, Bo Ai, & Emil Björnson. (2025). Near-Field User Localization and Channel Estimation for XL-MIMO Systems: Fundamentals, Recent Advances, and Outlooks. IEEE Wireless Communications. 32(4). 190–198. 4 indexed citations
3.
Sun, Lu, Shanmeizi Zhao, Liangtian Wan, et al.. (2025). Robust UAV Spectrum Scheduling Under Incomplete Information: A Fuzzy Framework Based on PPO-Assisted Evolutionary Reinforcement Learning. IEEE Transactions on Consumer Electronics. 71(3). 8008–8020.
4.
Ai, Bo, Guoyu Ma, Akram Shafie, et al.. (2025). Channel Spreading Function-Inspired Channel Transfer Function Estimation for OFDM Systems With High Mobility. IEEE Wireless Communications Letters. 14(7). 2169–2173. 2 indexed citations
5.
Li, Yuhang, Yang Lu, Guangyang Zhang, et al.. (2025). Homogeneous and Heterogeneous Graph Learning for Hybrid Beamforming in mmWave Systems. IEEE Transactions on Wireless Communications. 24(10). 8086–8100. 1 indexed citations
6.
Ma, Zhangfeng, et al.. (2025). Deep Reinforcement Learning for Energy Efficiency Maximization in RSMA-IRS-Assisted ISAC System. IEEE Transactions on Vehicular Technology. 74(11). 18273–18278. 13 indexed citations
7.
Li, Yuhang, Yang Lu, Bo Ai, et al.. (2024). GNN-Based Beamforming for Sum-Rate Maximization in MU-MISO Networks. IEEE Transactions on Wireless Communications. 23(8). 9251–9264. 22 indexed citations
8.
Lu, Yang, et al.. (2024). Communication-Sensing Region for Cell-Free Massive MIMO ISAC Systems. IEEE Transactions on Wireless Communications. 23(9). 12396–12411. 47 indexed citations
9.
Shafie, Akram, et al.. (2024). Orthogonal Delay-Doppler Division Multiplexing Modulation With Tomlinson-Harashima Precoding. IEEE Transactions on Communications. 73(7). 5391–5407. 5 indexed citations
10.
Zhang, Jiayi, et al.. (2024). Cooperative Multi-Target Positioning for Cell-Free Massive MIMO With Multi-Agent Reinforcement Learning. IEEE Transactions on Wireless Communications. 23(12). 19034–19049. 3 indexed citations
11.
Lu, Yu Wei, Jiayi Zhang, Jiakang Zheng, Huahua Xiao, & Bo Ai. (2024). Performance Analysis of RIS-Assisted Communications With Hardware Impairments and Channel Aging. IEEE Transactions on Communications. 72(6). 3720–3735. 3 indexed citations
12.
Zhou, Tao, et al.. (2024). Narrowbeam Channel Measurements and Characterization in Vehicle-to-Infrastructure Scenarios for 5G-V2X Communications. IEEE Internet of Things Journal. 11(9). 16074–16086. 7 indexed citations
13.
Niu, Yong, Hao Wu, Bo Ai, et al.. (2023). Throughput Maximization for Intelligent-Refracting-Surface-Assisted mmWave High-Speed Train Communications. IEEE Internet of Things Journal. 11(8). 13299–13311. 4 indexed citations
14.
Zheng, Jiakang, Jiayi Zhang, Julian Cheng, et al.. (2023). Asynchronous Cell-Free Massive MIMO With Rate-Splitting. IEEE Journal on Selected Areas in Communications. 41(5). 1366–1382. 79 indexed citations
15.
Zhang, Jiayi, et al.. (2023). Double-Layer Power Control for Mobile Cell-Free XL-MIMO With Multi-Agent Reinforcement Learning. IEEE Transactions on Wireless Communications. 23(5). 4658–4674. 20 indexed citations
16.
Zhang, Yan, Jiayi Zhang, Huahua Xiao, Derrick Wing Kwan Ng, & Bo Ai. (2022). Channel Aging-Aware Precoding for RIS-Aided Multi-User Communications. IEEE Transactions on Vehicular Technology. 72(2). 1997–2008. 12 indexed citations
17.
Zhang, Jiayi, et al.. (2021). Performance Analysis and Optimization of NOMA-Based Cell-Free Massive MIMO for IoT. IEEE Internet of Things Journal. 9(12). 9625–9639. 39 indexed citations
18.
Guan, Ke, et al.. (2020). Impact of Meteorological Attenuation on Channel Characterization at 300 GHz. Electronics. 9(7). 1115–1115. 15 indexed citations
19.
Li, Yiran, et al.. (2018). 3D geometry-based UAV-MIMO channel modeling and simulation. China Communications. 15(12). 64–74. 41 indexed citations
20.
Zhu, Hua, et al.. (2014). A novel 0.22-THz on-chip antenna based AMCs. Asia-Pacific Microwave Conference. 366–368. 4 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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