Nan Ma

976 total citations
85 papers, 482 citations indexed

About

Nan Ma is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Aerospace Engineering. According to data from OpenAlex, Nan Ma has authored 85 papers receiving a total of 482 indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Electrical and Electronic Engineering, 26 papers in Computer Networks and Communications and 13 papers in Aerospace Engineering. Recurrent topics in Nan Ma's work include Advanced MIMO Systems Optimization (23 papers), Millimeter-Wave Propagation and Modeling (16 papers) and Wireless Communication Security Techniques (12 papers). Nan Ma is often cited by papers focused on Advanced MIMO Systems Optimization (23 papers), Millimeter-Wave Propagation and Modeling (16 papers) and Wireless Communication Security Techniques (12 papers). Nan Ma collaborates with scholars based in China, United States and Singapore. Nan Ma's co-authors include Prakash Ishwar, Ping Zhang, Jianqiao Chen, Xiaoqi Qin, Zhi Zhang, Piyush Gupta, Hao Chen, Xiaodong Xu, Baoling Liu and Yixuan Li and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Access and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Nan Ma

69 papers receiving 469 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nan Ma China 12 297 184 83 75 55 85 482
Jianxin Wang China 12 185 0.6× 120 0.7× 118 1.4× 79 1.1× 31 0.6× 66 399
Shanxiang Lyu China 9 245 0.8× 87 0.5× 78 0.9× 87 1.2× 43 0.8× 40 361
Mustapha Djeddou Algeria 10 144 0.5× 91 0.5× 45 0.5× 67 0.9× 47 0.9× 51 331
Jun Cheng Japan 13 549 1.8× 301 1.6× 61 0.7× 44 0.6× 35 0.6× 125 702
Călin Vlădeanu Romania 8 134 0.5× 160 0.9× 44 0.5× 85 1.1× 36 0.7× 50 286
Bertil Svensson Sweden 10 238 0.8× 224 1.2× 118 1.4× 21 0.3× 47 0.9× 70 504
Peng Hui Tan Singapore 11 387 1.3× 355 1.9× 67 0.8× 21 0.3× 56 1.0× 55 561
Christo Kurisummoottil Thomas France 11 290 1.0× 143 0.8× 87 1.0× 59 0.8× 18 0.3× 46 474
Shu‐Ming Tseng Taiwan 12 497 1.7× 359 2.0× 142 1.7× 91 1.2× 41 0.7× 97 670
H. Koorapaty United States 13 740 2.5× 470 2.6× 101 1.2× 83 1.1× 84 1.5× 40 818

Countries citing papers authored by Nan Ma

Since Specialization
Citations

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

Fields of papers citing papers by Nan Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nan Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Nan Ma. A scholar is included among the top collaborators of Nan Ma 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 Nan Ma. Nan Ma 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.
Zhang, Ping, Kai Niu, Yiming Liu, et al.. (2025). Way to Build Native AI-Driven 6G Air Interface: Principles, Roadmap, and Outlook. IEEE Transactions on Network Science and Engineering. 13. 3551–3565.
2.
Ma, Nan, Haotai Liang, Chen Dong, et al.. (2025). Multiuser Content-Style Adaptive Semantic Communication for Image Transmission. IEEE Internet of Things Journal. 12(17). 36063–36078.
3.
Ma, Nan, et al.. (2025). A Novel 3D Non-Stationary Channel Model for Aerial Hybrid Reconfigurable Intelligent Surface-Assisted ISAC Systems. IEEE Transactions on Vehicular Technology. 74(7). 10802–10818. 1 indexed citations
4.
Qin, Xiaoqi, et al.. (2024). Information Timeliness Driven Statistical QoS Guarantee in RIS-Enabled Wireless Networks via Deep Reinforcement Learning. IEEE Internet of Things Journal. 11(14). 25185–25197. 1 indexed citations
5.
Ma, Nan, et al.. (2024). Efficient Two-Level Block-Structured Sparse Bayesian Learning-Based Channel Estimation for RIS-Assisted MIMO IoT Systems. IEEE Internet of Things Journal. 11(14). 24933–24947. 2 indexed citations
7.
Ma, Nan, et al.. (2024). A Non-Stationary Channel Model for Aerial Intelligent Reflecting Surface With 3D Continuously Arbitrary Trajectory. IEEE Transactions on Vehicular Technology. 74(2). 2261–2275. 1 indexed citations
8.
Qin, Xiaoqi, et al.. (2023). Energy Efficient and Differentially Private Federated Learning via a Piggyback Approach. IEEE Transactions on Mobile Computing. 23(4). 2698–2711. 4 indexed citations
9.
Huang, Chuan, et al.. (2023). Coexistence Between Task- and Data-Oriented Communications: A Whittle’s Index Guided Multiagent Reinforcement Learning Approach. IEEE Internet of Things Journal. 11(2). 2630–2647. 7 indexed citations
10.
Meng, Fanyang, et al.. (2023). Model-Driven Deep Learning-Based Sparse Channel Representation and Recovery for Wideband mmWave Massive MIMO Systems. IEEE Transactions on Vehicular Technology. 72(12). 16788–16793. 4 indexed citations
11.
Qin, Xiaoqi, Yanlin Li, Nan Ma, et al.. (2023). Timeliness-Oriented Asynchronous Task Offloading in UAV-Edge-Computing Systems. IEEE Transactions on Network Science and Engineering. 11(1). 900–912. 9 indexed citations
12.
Ma, Nan, et al.. (2023). Age–energy‐aware trajectory planning for UAV‐assisted data collection in Internet of Things. IET Communications. 17(10). 1177–1187. 1 indexed citations
13.
Qin, Xiaoqi, et al.. (2023). Accelerating Wireless Federated Learning With Adaptive Scheduling Over Heterogeneous Devices. IEEE Internet of Things Journal. 11(2). 2286–2302. 5 indexed citations
14.
Ma, Nan, et al.. (2023). Deep Joint Source-Channel Coding for Wireless Image Transmission with Adaptive Models. Electronics. 12(22). 4637–4637. 4 indexed citations
15.
Qin, Xiaoqi, Yanlin Li, Xianxin Song, et al.. (2022). Timeliness of Information for Computation-Intensive Status Updates in Task-Oriented Communications. IEEE Journal on Selected Areas in Communications. 41(3). 623–638. 13 indexed citations
16.
Zhou, Ying, et al.. (2022). User Experience Perception Algorithm for Long and Short Videos Based on Multiple Nonlinear Regression. Mobile Information Systems. 2022. 1–12.
17.
Chen, Jianqiao, Ping Zhang, Nan Ma, & Xiaodong Xu. (2022). Hierarchical-Block Sparse Bayesian Learning for Spatial Non-Stationary Massive MIMO Channel Estimation. IEEE Wireless Communications Letters. 11(5). 888–892. 7 indexed citations
18.
Ma, Nan, et al.. (2020). Novel 3-D Irregular-Shaped Model for Massive MIMO V2V Channels in Street Scattering Environments. IEEE Wireless Communications Letters. 9(9). 1437–1441. 11 indexed citations
19.
Fan, Wei, et al.. (2020). On Simple-Sectored Multi-Probe Anechoic Chamber Design for mmWave Adaptive Terminal. IEEE Access. 8. 26419–26432. 2 indexed citations
20.
Wang, Ye, Nan Ma, Manqi Zhao, Prakash Ishwar, & Venkatesh Saligrama. (2007). On Universal Distributed Estimation of Noisy Fields with One-bit Sensors. arXiv (Cornell University). 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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