Huabing Lu

419 total citations
24 papers, 285 citations indexed

About

Huabing Lu is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Aerospace Engineering. According to data from OpenAlex, Huabing Lu has authored 24 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Electrical and Electronic Engineering, 9 papers in Computer Networks and Communications and 9 papers in Aerospace Engineering. Recurrent topics in Huabing Lu's work include Advanced Wireless Communication Technologies (17 papers), Advanced MIMO Systems Optimization (9 papers) and UAV Applications and Optimization (7 papers). Huabing Lu is often cited by papers focused on Advanced Wireless Communication Technologies (17 papers), Advanced MIMO Systems Optimization (9 papers) and UAV Applications and Optimization (7 papers). Huabing Lu collaborates with scholars based in China, Canada and Singapore. Huabing Lu's co-authors include Xianzhong Xie, Helin Yang, Jun Cai, Zhiguo Ding, Mohamed Cheriet, Michel Kadoch, Hongjiang Lei, Nan Zhao, Zehui Xiong and Hong Tang and has published in prestigious journals such as IEEE Access, IEEE Transactions on Communications and IEEE Transactions on Wireless Communications.

In The Last Decade

Huabing Lu

24 papers receiving 281 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Huabing Lu China 11 235 138 67 19 17 24 285
Peiran Wu China 11 267 1.1× 146 1.1× 91 1.4× 26 1.4× 18 1.1× 61 327
Tomoaki Kumagai Japan 11 225 1.0× 254 1.8× 55 0.8× 14 0.7× 12 0.7× 48 348
Abdelhamid Salem United Kingdom 13 472 2.0× 113 0.8× 65 1.0× 13 0.7× 15 0.9× 35 514
Lou Salaün France 10 274 1.2× 93 0.7× 61 0.9× 6 0.3× 15 0.9× 16 323
Asmaa Abdallah Saudi Arabia 10 247 1.1× 73 0.5× 86 1.3× 16 0.8× 17 1.0× 36 294
Brijesh Kumbhani India 8 256 1.1× 161 1.2× 72 1.1× 21 1.1× 26 1.5× 40 313
Jianzhong Zhang United States 8 192 0.8× 99 0.7× 51 0.8× 32 1.7× 17 1.0× 15 281
Omid Abbasi Canada 11 319 1.4× 127 0.9× 181 2.7× 23 1.2× 12 0.7× 23 408
Radosław Kotaba Denmark 7 321 1.4× 171 1.2× 38 0.6× 19 1.0× 40 2.4× 11 368
Alaa Alameer Ahmad Germany 11 211 0.9× 100 0.7× 74 1.1× 21 1.1× 13 0.8× 26 279

Countries citing papers authored by Huabing Lu

Since Specialization
Citations

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

Fields of papers citing papers by Huabing Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huabing Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Huabing Lu. A scholar is included among the top collaborators of Huabing Lu 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 Huabing Lu. Huabing Lu 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.
Chen, Yihui, et al.. (2025). Energy Efficient UAV-RIS-Aided Integrated Sensing and Communication Systems Using Deep Reinforcement Learning. IEEE Transactions on Vehicular Technology. 75(1). 1613–1618. 1 indexed citations
2.
Lu, Huabing, et al.. (2025). NOMA-Assisted Semi-Grant-Free Transmission for UAV Networks: A Multi-User Scheduling Approach. IEEE Transactions on Communications. 73(8). 6780–6797. 1 indexed citations
3.
Yang, Helin, et al.. (2024). Learning-Based Resource Management Optimization for UAV-Assisted MEC Against Jamming. IEEE Transactions on Communications. 72(8). 4873–4886. 12 indexed citations
4.
Lu, Huabing, et al.. (2024). Secrecy Analysis of UAV Control Information Transmission via NOMA. 1 indexed citations
5.
Lu, Huabing, et al.. (2024). NOMA Assisted Semi-Grant-Free Transmission in UAV Networks with Multi-User Scheduling. 1–5. 1 indexed citations
6.
Lu, Huabing, et al.. (2024). Secure Transmission of UAV Control Information via NOMA. IEEE Transactions on Communications. 72(8). 4648–4660. 7 indexed citations
7.
Xie, Xianzhong, Huabing Lu, Helin Yang, et al.. (2023). DRL-Based Multidimensional Resource Management in SWIPT-NOMA-Enabled MEC. IEEE Transactions on Wireless Communications. 23(4). 3252–3266. 9 indexed citations
8.
Lu, Huabing, Xianzhong Xie, Helin Yang, et al.. (2023). Active RIS-Aided EH-NOMA Networks: A Deep Reinforcement Learning Approach. IEEE Transactions on Communications. 71(10). 5846–5861. 14 indexed citations
9.
Lu, Huabing, et al.. (2023). Outage Performance of Uplink Rate Splitting Multiple Access With Randomly Deployed Users. IEEE Transactions on Wireless Communications. 23(2). 1308–1326. 13 indexed citations
10.
Xie, Xianzhong, et al.. (2023). Channel Blocklength Minimization in MU-MISO Nonorthogonal Multiple Access for URLLC Services. IEEE Systems Journal. 18(1). 36–39. 4 indexed citations
11.
Lu, Huabing, et al.. (2023). Secrecy Analysis of Control Information for UAV. IEEE Transactions on Vehicular Technology. 72(12). 16845–16850. 3 indexed citations
12.
Wang, Can, Helin Yang, Liang Xiao, Huabing Lu, & Zehui Xiong. (2023). Joint Trajectory Optimization and Power Control for Cognitive UAV-Assisted Secure Communications. 7279–7284. 1 indexed citations
13.
Xie, Xianzhong, et al.. (2022). Energy-Efficient Resource Allocation for Short Packet Transmission in MISO Multicarrier NOMA. IEEE Transactions on Vehicular Technology. 71(12). 12797–12810. 13 indexed citations
14.
Xie, Xianzhong, et al.. (2022). Resource Allocation in MU-MISO Rate-Splitting Multiple Access With SIC Errors for URLLC Services. IEEE Transactions on Communications. 71(1). 229–243. 23 indexed citations
15.
Xie, Xianzhong, et al.. (2021). Deep Reinforcement Learning-Based Multidimensional Resource Management for Energy Harvesting Cognitive NOMA Communications. IEEE Transactions on Communications. 70(5). 3110–3125. 45 indexed citations
16.
Xie, Xianzhong, et al.. (2021). Joint Uplink and Downlink Resource Allocation in NOMA for End-to-End URLLC Services. IEEE Communications Letters. 25(12). 3942–3946. 23 indexed citations
17.
Xie, Xianzhong, et al.. (2021). Deep Reinforcement Learning Based Big Data Resource Management for 5G/6G Communications. 2021 IEEE Global Communications Conference (GLOBECOM). 1–6. 4 indexed citations
18.
Xie, Xianzhong, et al.. (2020). Deep-Reinforcement-Learning-Based Spectrum Resource Management for Industrial Internet of Things. IEEE Internet of Things Journal. 8(5). 3476–3489. 41 indexed citations
19.
Xie, Xianzhong, et al.. (2020). Deep Reinforcement Learning Based Dynamic User Access and Decode Order Selection for Uplink NOMA System With Imperfect SIC. IEEE Wireless Communications Letters. 10(4). 710–714. 13 indexed citations
20.
Lu, Huabing, et al.. (2020). Fairness Enhancement for Opportunistic Interference Alignment Algorithm With Low Latency Communications. IEEE Systems Journal. 14(4). 5002–5013. 2 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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