Kai Mao

13.7k total citations
75 papers, 633 citations indexed

About

Kai Mao is a scholar working on Aerospace Engineering, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kai Mao has authored 75 papers receiving a total of 633 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Aerospace Engineering, 48 papers in Electrical and Electronic Engineering and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kai Mao's work include UAV Applications and Optimization (37 papers), Millimeter-Wave Propagation and Modeling (35 papers) and Radio Wave Propagation Studies (13 papers). Kai Mao is often cited by papers focused on UAV Applications and Optimization (37 papers), Millimeter-Wave Propagation and Modeling (35 papers) and Radio Wave Propagation Studies (13 papers). Kai Mao collaborates with scholars based in China, Netherlands and Pakistan. Kai Mao's co-authors include Qiuming Zhu, Boyu Hua, Maozhong Song, Weizhi Zhong, Wei Fan, Cheng‐Xiang Wang, Yang Miao, Xiaohong Chen, André B.J. Kokkeler and Xin Liu and has published in prestigious journals such as Advanced Materials, Journal of Biological Chemistry and Small.

In The Last Decade

Kai Mao

64 papers receiving 622 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kai Mao China	13	398	384	89	62	43	75	633
Xuesong Cai China	19	820 2.1×	475 1.2×	115 1.3×	42 0.7×	60 1.4×	76	1.0k
Yang Huang China	17	545 1.4×	287 0.7×	254 2.9×	58 0.9×	32 0.7×	63	799
George Lentaris Greece	12	240 0.6×	171 0.4×	65 0.7×	160 2.6×	23 0.5×	61	498
Shangbin Wu United Kingdom	14	1.1k 2.7×	470 1.2×	213 2.4×	27 0.4×	82 1.9×	42	1.2k
Abolfazl Falahati Iran	13	490 1.2×	217 0.6×	262 2.9×	33 0.5×	56 1.3×	116	618
Georgia Athanasiadou Greece	18	861 2.2×	346 0.9×	356 4.0×	50 0.8×	108 2.5×	80	1.0k
Xiaohu Liang China	19	639 1.6×	531 1.4×	451 5.1×	30 0.5×	32 0.7×	83	931
Aryan Kaushik United Kingdom	18	525 1.3×	451 1.2×	373 4.2×	31 0.5×	22 0.5×	87	870
Ali Rıza Ekti United States	13	405 1.0×	204 0.5×	150 1.7×	34 0.5×	25 0.6×	58	602
Razali Ngah Malaysia	14	553 1.4×	190 0.5×	194 2.2×	15 0.2×	26 0.6×	106	746

Countries citing papers authored by Kai Mao

Since Specialization

Citations

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

Fields of papers citing papers by Kai Mao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Mao. A scholar is included among the top collaborators of Kai Mao 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 Kai Mao. Kai Mao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Mao, Kai, et al.. (2025). Electro‐ and Magneto‐Active Biomaterials for Diabetic Tissue Repair: Advantages and Applications. Advanced Materials. 37(21). e2501817–e2501817. 14 indexed citations

Zhu, Qiuming, et al.. (2025). Field-Trained Neural Network-Based Angle-of-Arrival Estimation for Air-to-Ground Channel Measurements. IEEE Transactions on Vehicular Technology. 74(12). 19070–19082.

Ali, Farman, Qingxu Deng, Qiuming Zhu, et al.. (2025). Impact of sea cluttering and wave shadowing on U2S MIMO channel model incorporating UAV-ship 6D motion in maritime environments. Vehicular Communications. 55. 100963–100963.

Hua, Boyu, Qiuming Zhu, Cheng‐Xiang Wang, et al.. (2025). Ultra-Wideband Nonstationary Channel Modeling for UAV-to-Ground Communications. IEEE Transactions on Wireless Communications. 24(5). 4190–4204. 14 indexed citations

Ye, Xuchao, et al.. (2024). Cross-Correlation Characteristic Measurements and Analysis for Multi-Link A2G Channels Based on a Multi-UAV System. Drones. 8(8). 416–416.

Cui, Zhuangzhuang, et al.. (2024). Doppler effects in UAV‐to‐vehicle multipath channels under 6D mobility. IET Microwaves Antennas & Propagation. 18(12). 1042–1054. 1 indexed citations

Mao, Kai, Qiuming Zhu, Cheng‐Xiang Wang, et al.. (2024). A Survey on Channel Sounding Technologies and Measurements for UAV-Assisted Communications. IEEE Transactions on Instrumentation and Measurement. 73. 1–24. 48 indexed citations

Zhong, Weizhi, Lulu Zhang, Xin Liu, et al.. (2024). Image-Based Beam Tracking With Deep Learning for mmWave V2I Communication Systems. IEEE Transactions on Intelligent Transportation Systems. 25(11). 19110–19116. 1 indexed citations

Zhu, Qiuming, et al.. (2024). Path Loss and Shadowing for UAV-to-Ground UWB Channels Incorporating the Effects of Built-Up Areas and Airframe. IEEE Transactions on Intelligent Transportation Systems. 25(11). 17066–17077. 40 indexed citations

10.

Tian, Yue, et al.. (2024). Generative Network-Based Channel Modeling and Generation for Air-to-Ground Communication Scenarios. IEEE Communications Letters. 28(4). 892–896. 6 indexed citations

11.

Mao, Kai, et al.. (2024). Perinatal maternal factors influencing postpartum feeding practices at six weeks. BMC Pregnancy and Childbirth. 24(1). 514–514. 1 indexed citations

12.

Mao, Kai, et al.. (2024). A Robust and Efficient Angle Estimation Method via Field-Trained Neural Network for UAV Channels. 1–6. 1 indexed citations

13.

Mao, Kai, Qiuming Zhu, Xuchao Ye, et al.. (2024). Demo Abstract: A UAV-Based Real-Time Channel Knowledge Mapping System. 1–2.

14.

Mao, Kai, et al.. (2023). Machine Learning-Based Channel Power Analysis inside Aircraft Cabin. 85–89.

15.

Zhu, Qiuming, et al.. (2022). Geometry-Based Stochastic Line-of-Sight Probability Model for A2G Channels Under Urban Scenarios. IEEE Transactions on Antennas and Propagation. 70(7). 5784–5794. 31 indexed citations

16.

Zhu, Qiuming, et al.. (2022). Map-Based Channel Modeling and Generation for U2V mmWave Communication. IEEE Transactions on Vehicular Technology. 71(8). 8004–8015. 30 indexed citations

17.

Zhu, Qiuming, et al.. (2021). A Real-Time Hardware Emulator for 3D Non-Stationary U2V Channels. IEEE Transactions on Circuits and Systems I Regular Papers. 68(9). 3951–3964. 22 indexed citations

18.

Mao, Kai, et al.. (2014). Optimization of Preparation Process for Isomaltooligosaccharide-Iron Complex. 35(22). 22–27. 2 indexed citations

19.

Mao, Kai. (2013). Design of Intermediate Turbine flowpath Based on Two-dimensional Optimization Method. Journal of Propulsion Technology. 1 indexed citations

20.

Mao, Kai. (2013). An Improved PSO Algorithm and its Utilization in Wind Power Generation System. Control Engineering of China. 1 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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