Bomin Mao

6.2k citations

66 papers · 4.5k indexed · 7 hit papers · h-index 28

Computer Networks and Communications top 0.5%
- Software-Defined Networks and 5G 11
- Network Security and Intrusion Detection 10
- IoT and Edge/Fog Computing 10
- Caching and Content Delivery 7
Aerospace Engineering top 1%
- UAV Applications and Optimization 8
Electrical and Electronic Engineering top 2%
- Advanced Wireless Communication Technologies 14
- Advanced MIMO Systems Optimization 7
Artificial Intelligence top 1%
Computational Mathematics top 10%
Building and Construction
- Traffic Prediction and Management Techniques 7

Co-authors: Nei Kato Fengxiao Tang Zubair Md. Fadlullah Yuichi Kawamoto Takeru Inoue Osamu Akashi Kimihiro Mizutani Jiajia Liu
Cited by: Computer Networks and Communications Aerospace Engineering Electrical and Electronic Engineering
Journals: IEEE Communications Surveys & Tutorials (8 papers)IEEE Wireless Communications (6 papers)IEEE Journal on Selected Areas in Communications (5 papers)
Partner nations: Japan China Canada

In The Last Decade

Bomin Mao

64 papers receiving 4.4k citations

Hit Papers

7 papers align trajectories log scale

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.

2025 IEEE Communications Surveys & Tutorials
2023 IEEE Communications Surveys & Tutorials
2020 IEEE Wireless Communications
2019 IEEE Wireless Communications
2017 IEEE Communications Surveys & Tutorials
2017 IEEE Transactions on Computers
2016 IEEE Wireless Communications

Peers

Countries citing papers authored by Bomin Mao

Since Specialization

Citations

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

Fields of papers citing papers by Bomin Mao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Bomin Mao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bomin Mao Line = papers co-authored together Bomin Mao links everyone, so they are left out of the graph.

All Works

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

20 of 20 papers shown

#	Work
1	A Survey on Intelligent Network Operations and Performance Optimization Based on Large Language Modelsbreakdown → IEEE Communications Surveys & Tutorials ·S.Y. Long,Jianfeng Zeng,Bomin Mao,Fengxiao Tang,Yangfan Li,Ming Zhao,Nei Kato	2025	22
2	On an Intelligent Hierarchical Routing Strategy for Ultra-Dense Free Space Optical Low Earth Orbit Satellite Networks IEEE Journal on Selected Areas in Communications ·Bomin Mao,Xueming Zhou,Jiajia Liu,Nei Kato	2024	48
3	An Intelligent Path Loss Prediction Approach Based on Integrated Sensing and Communications for Future Vehicular Networks SHILAP Revista de lepidopterología ·Priyanka Venkat,Bomin Mao,Hongzhi Guo,Yijie Xun,Jiajia Liu,Nei Kato	2024	7
4	An Intelligent Hierarchical Caching and Asynchronous Updating Scheme for 6G Non-Terrestrial Networks Alan Vedoveli,Bomin Mao,Hongzhi Guo,Jiajia Liu	2024	1
5	IRS-Aided High-Accuracy Positioning for Autonomous Driving Toward 6G: A Tutorial IEEE Vehicular Technology Magazine ·Akira Nishikata,Bomin Mao,Nei Kato	2023	27
6	Security and Privacy on 6G Network Edge: A Surveybreakdown → IEEE Communications Surveys & Tutorials ·Bomin Mao,Jiajia Liu,Yingying Wu,Nei Kato	2023	159
7	AI-Assisted Edge Caching for Metaverse of Connected and Automated Vehicles: Proposal, Challenges, and Future Perspectives IEEE Vehicular Technology Magazine ·Bomin Mao,Alan Vedoveli,Jiajia Liu,Nei Kato	2023	22
8	On a Novel High Accuracy Positioning With Intelligent Reflecting Surface and Unscented Kalman Filter for Intelligent Transportation Systems in B5G IEEE Journal on Selected Areas in Communications ·Akira Nishikata,Bomin Mao,Nei Kato	2023	40
9	On an Intelligent Task Offloading Model to Jointly Optimize Latency and Energy for Electric Connected Vehicles IEEE Transactions on Vehicular Technology ·Bomin Mao,Jian Qiu,Nei Kato	2023	20
10	Balancing QoS and Security in the Edge: Existing Practices, Challenges, and 6G Opportunities With Machine Learning IEEE Communications Surveys & Tutorials ·Zubair Md. Fadlullah,Bomin Mao,Nei Kato	2022	56
11	Intelligent Reflecting Surface in 6G Vehicular Communications: A Survey IEEE Open Journal of Vehicular Technology ·Akira Nishikata,Bomin Mao,Nei Kato	2022	83
12	AI Models for Green Communications Towards 6G IEEE Communications Surveys & Tutorials ·Bomin Mao,Fengxiao Tang,Yuichi Kawamoto,Nei Kato	2021	177
13	Comprehensive Survey on Machine Learning in Vehicular Network: Technology, Applications and Challenges IEEE Communications Surveys & Tutorials ·Fengxiao Tang,Bomin Mao,Nei Kato,Guan Gui	2021	163
14	Harvesting and Threat Aware Security Configuration Strategy for IEEE 802.15.4 Based IoT Networks IEEE Communications Letters ·Bomin Mao,Yuichi Kawamoto,Jiajia Liu,Nei Kato	2019	37
15	Multilayer Virtual Cell-Based Resource Allocation in Low-Power Wide-Area Networks IEEE Internet of Things Journal ·Yuichi Kawamoto,A. G. Murlin,Bomin Mao,Nei Kato	2019	12
16	An Intelligent Route Computation Approach Based on Real-Time Deep Learning Strategy for Software Defined Communication Systems IEEE Transactions on Emerging Topics in Computing ·Bomin Mao,Fengxiao Tang,Zubair Md. Fadlullah,Nei Kato	2019	107
17	An Intelligent Traffic Load Prediction-Based Adaptive Channel Assignment Algorithm in SDN-IoT: A Deep Learning Approach IEEE Internet of Things Journal ·Fengxiao Tang,Zubair Md. Fadlullah,Bomin Mao,Nei Kato	2018	204
18	Value Iteration Architecture Based Deep Learning for Intelligent Routing Exploiting Heterogeneous Computing Platforms IEEE Transactions on Computers ·Zubair Md. Fadlullah,Bomin Mao,Fengxiao Tang,Nei Kato	2018	40
19	On Intelligent Traffic Control for Large-Scale Heterogeneous Networks: A Value Matrix-Based Deep Learning Approach IEEE Communications Letters ·Zubair Md. Fadlullah,Fengxiao Tang,Bomin Mao,Jiajia Liu,Nei Kato	2018	39
20	State-of-the-Art Deep Learning: Evolving Machine Intelligence Toward Tomorrow’s Intelligent Network Traffic Control Systemsbreakdown → IEEE Communications Surveys & Tutorials ·Zubair Md. Fadlullah,Fengxiao Tang,Bomin Mao,Nei Kato,Osamu Akashi,Takeru Inoue,Kimihiro Mizutani	2017	606

About Bomin Mao

Bomin Mao is a scholar working on Computational Mathematics, Computer Networks and Communications and Aerospace Engineering, having authored 66 papers that have together received 4.5k indexed citations. Recurring topics across this work include Advanced Wireless Communication Technologies (14 papers), Software-Defined Networks and 5G (11 papers), Network Security and Intrusion Detection (10 papers), IoT and Edge/Fog Computing (10 papers), UAV Applications and Optimization (8 papers), Traffic Prediction and Management Techniques (7 papers), Caching and Content Delivery (7 papers) and Advanced MIMO Systems Optimization (7 papers). The work is most often cited by research in Computer Networks and Communications (2.4k citations), Aerospace Engineering (1.0k citations) and Electrical and Electronic Engineering (2.3k citations). Bomin Mao has collaborated with scholars based in Japan, China and Canada. Frequent co-authors include Nei Kato, Fengxiao Tang, Zubair Md. Fadlullah, Yuichi Kawamoto, Takeru Inoue, Osamu Akashi, Kimihiro Mizutani, Jiajia Liu, Atsushi Okamura and Shigenori Tani. Their work appears in journals such as IEEE Communications Surveys & Tutorials, IEEE Wireless Communications, IEEE Journal on Selected Areas in Communications, IEEE Internet of Things Journal and IEEE Transactions on Vehicular Technology.

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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