Ke Ma

414 total citations
29 papers, 255 citations indexed

About

Ke Ma is a scholar working on Electrical and Electronic Engineering, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Ke Ma has authored 29 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Electrical and Electronic Engineering, 7 papers in Aerospace Engineering and 5 papers in Artificial Intelligence. Recurrent topics in Ke Ma's work include Millimeter-Wave Propagation and Modeling (9 papers), Microwave Engineering and Waveguides (8 papers) and Advanced MIMO Systems Optimization (7 papers). Ke Ma is often cited by papers focused on Millimeter-Wave Propagation and Modeling (9 papers), Microwave Engineering and Waveguides (8 papers) and Advanced MIMO Systems Optimization (7 papers). Ke Ma collaborates with scholars based in China, United Kingdom and United States. Ke Ma's co-authors include Zhaocheng Wang, Sheng Chen, Dongxuan He, Peiyao Zhao, Zhaocheng Wang, Lajos Hanzo, Xi Yang, Yang Yang, Xiuhua Ma and Xi Zhu and has published in prestigious journals such as Magnetic Resonance in Medicine, IEEE Transactions on Communications and IEEE Transactions on Wireless Communications.

In The Last Decade

Ke Ma

20 papers receiving 250 citations

Peers

Ke Ma
Shaomin Mo United States
Ji He China
Jinkyu Kang South Korea
Hang Yu China
Yang Zeng China
Mian Muhammad Kamal China
Isiaka A. Alimi Portugal
Xuechun Wang China
Kilian Roth Germany
Wenhui Huang China
Shaomin Mo United States
Ke Ma
Citations per year, relative to Ke Ma Ke Ma (= 1×) peers Shaomin Mo

Countries citing papers authored by Ke Ma

Since Specialization
Citations

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

Fields of papers citing papers by Ke Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ke Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Ke Ma. A scholar is included among the top collaborators of Ke 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 Ke Ma. Ke 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.
2.
Ma, Ke, et al.. (2025). Deep Learning Assisted mmWave Beam Prediction With Flexible Network Architecture. IEEE Transactions on Wireless Communications. 24(11). 9435–9448.
3.
Feng, Yanggang, Ke Ma, Jiaxin Ren, et al.. (2025). A Wearable Isokinetic Training Robot for Enhanced Bedside Knee Rehabilitation. IEEE Transactions on Robotics. 41. 2460–2476.
4.
Ma, Ke, et al.. (2024). Loss Function Fusion for Learning-Based CSI Extrapolation Enhancement. IEEE Wireless Communications Letters. 13(8). 2210–2214. 1 indexed citations
5.
Ma, Ke, et al.. (2024). Deep Learning Empowered CSI Acquisition and Feedback for B5G Wireless Systems. IEEE Transactions on Communications. 72(11). 7124–7138. 2 indexed citations
6.
Ma, Ke, et al.. (2024). Dual-Band Super-Resolution Channel Prediction in High-Mobility MIMO Systems. IEEE Transactions on Communications. 73(6). 4409–4424. 2 indexed citations
7.
Ma, Ke, et al.. (2024). Wireless Interference Recognition With Multimodal Learning. IEEE Transactions on Wireless Communications. 23(12). 18576–18591. 2 indexed citations
8.
Sun, Chen, et al.. (2024). MmWave Beam Prediction Under Hand Blockage. IEEE Wireless Communications Letters. 13(12). 3598–3602.
9.
Ma, Ke, et al.. (2024). TypeII-CsiNet: CSI Feedback with TypeII Codebook. 348–353.
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11.
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Ma, Ke, et al.. (2023). Improving the Performance of R17 Type-II Codebook with Deep Learning. 4823–4828. 4 indexed citations
13.
Ma, Ke, et al.. (2022). Deep Learning Assisted mmWave Beam Prediction for Heterogeneous Networks: A Dual-Band Fusion Approach. IEEE Transactions on Communications. 71(1). 115–130. 25 indexed citations
14.
Ma, Ke, et al.. (2021). Deep Learning Assisted Calibrated Beam Training for Millimeter-Wave Communication Systems. IEEE Transactions on Communications. 69(10). 6706–6721. 52 indexed citations
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Yang, Xi, Ke Ma, Rui Chen, et al.. (2017). Liquid-based endometrial cytology associated with curettage in the investigation of endometrial carcinoma in a population of 1987 women. Archives of Gynecology and Obstetrics. 296(1). 99–105. 15 indexed citations
18.
Ma, Ke, Xi Yang, Rui Chen, et al.. (2016). Liquid-based endometrial cytology associated with curettage in the investigation of endometrial carcinoma in postmenopausal women. Taiwanese Journal of Obstetrics and Gynecology. 55(6). 777–781. 11 indexed citations
19.
Zhao, Bo, Ke Ma, Zechen Zhou, et al.. (2016). Accelerated phase contrast flow imaging with direct complex difference reconstruction. Magnetic Resonance in Medicine. 77(3). 1036–1048. 17 indexed citations
20.
Yang, Yang, Xi Zhu, Ke Ma, et al.. (2016). Development of Wireless Transducer for Real-Time Remote Patient Monitoring. IEEE Sensors Journal. 16(12). 4669–4670. 15 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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2026