Yongming Yao

598 total citations
33 papers, 419 citations indexed

About

Yongming Yao is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Automotive Engineering. According to data from OpenAlex, Yongming Yao has authored 33 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Biomedical Engineering, 10 papers in Electrical and Electronic Engineering and 8 papers in Automotive Engineering. Recurrent topics in Yongming Yao's work include Advanced Sensor and Energy Harvesting Materials (12 papers), Electric and Hybrid Vehicle Technologies (7 papers) and Advanced Battery Technologies Research (6 papers). Yongming Yao is often cited by papers focused on Advanced Sensor and Energy Harvesting Materials (12 papers), Electric and Hybrid Vehicle Technologies (7 papers) and Advanced Battery Technologies Research (6 papers). Yongming Yao collaborates with scholars based in China, France and India. Yongming Yao's co-authors include Tianyu Li, Huiying Liu, Hui Wang, Kuankuan Wang, Yixin Liu, Jie Wang, Hang Li, Jie Wang, Junqiu Zhang and Tinghai Cheng and has published in prestigious journals such as SHILAP Revista de lepidopterología, Advanced Functional Materials and Advanced Energy Materials.

In The Last Decade

Yongming Yao

29 papers receiving 401 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yongming Yao China 13 194 176 82 60 55 33 419
Yufei Chen China 11 165 0.9× 164 0.9× 53 0.6× 27 0.5× 83 1.5× 36 416
Andreas Mark Sweden 12 114 0.6× 110 0.6× 170 2.1× 70 1.2× 93 1.7× 66 691
A. D. Mohammed Samee India 11 267 1.4× 260 1.5× 75 0.9× 86 1.4× 221 4.0× 20 606
Jiusheng Bao China 12 45 0.2× 365 2.1× 26 0.3× 59 1.0× 316 5.7× 70 575
Yuli Hu China 10 356 1.8× 110 0.6× 42 0.5× 55 0.9× 68 1.2× 45 513
Jianjun Wang China 10 135 0.7× 37 0.2× 62 0.8× 29 0.5× 56 1.0× 42 308
Joon-Hyun Lee South Korea 14 68 0.4× 34 0.2× 122 1.5× 34 0.6× 182 3.3× 46 485
Z. Samad Malaysia 12 68 0.4× 29 0.2× 103 1.3× 42 0.7× 286 5.2× 53 401
Hyun-Rok Cha South Korea 11 284 1.5× 118 0.7× 18 0.2× 62 1.0× 147 2.7× 46 452

Countries citing papers authored by Yongming Yao

Since Specialization
Citations

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

Fields of papers citing papers by Yongming Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongming Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Yongming Yao. A scholar is included among the top collaborators of Yongming Yao 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 Yongming Yao. Yongming Yao 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.
Wang, Kuankuan, Xiang Guan, Zhipeng Pan, et al.. (2025). Ultra-Wideband Detection-Enabled Modularized Three-Axis Vibration Sensor for UAV Blade Damage Monitoring via Deep Learning. IEEE Transactions on Industrial Electronics. 72(11). 11964–11974. 2 indexed citations
2.
Li, Tianyu, Chenxi Li, Kuankuan Wang, et al.. (2025). Hierarchical structure-based biomimetic triboelectric-electromagnetic hybrid generator for river monitoring. Chemical Engineering Journal. 509. 161035–161035.
3.
Wang, Kuankuan, Yixin Liu, Xiang Guan, et al.. (2025). Deep learning-enhanced safety system for real-time in-situ blade damage monitoring in UAV using triboelectric sensor. Nano Energy. 140. 111063–111063. 2 indexed citations
4.
5.
Li, Chenxi, Kuankuan Wang, Yixin Liu, et al.. (2025). Combination of Self‐Powered Hybrid Generator and Hierarchical Hybrid Learning Architecture for Broadband On‐Site Ocean Monitoring. Advanced Functional Materials. 36(23).
6.
Liu, Huiying, et al.. (2024). Dyna algorithm-based reinforcement learning energy management for fuel cell hybrid engineering vehicles. Journal of Energy Storage. 94. 112526–112526. 11 indexed citations
7.
Wang, Kuankuan, Yongming Yao, Yixin Liu, et al.. (2024). Self-powered system for real-time wireless monitoring and early warning of UAV motor vibration based on triboelectric nanogenerator. Nano Energy. 129. 110012–110012. 12 indexed citations
8.
Li, Tianyu, Kuankuan Wang, Wang Xiao, et al.. (2024). Vibrational coupling-based multilayer flexible triboelectric nanogenerator for wide-amplitude omnidirectional wave energy harvesting. Chemical Engineering Journal. 500. 156712–156712. 3 indexed citations
9.
Li, Tianyu, Chenxi Li, Kuankuan Wang, et al.. (2024). A Triboelectric–Electromagnetic Hybrid Generator for Harvesting River Energy and Wind Energy for River Ecosystem Monitoring. ACS Applied Materials & Interfaces. 16(26). 33347–33359. 7 indexed citations
10.
Li, Tianyu, Wang Xiao, Kuankuan Wang, et al.. (2024). Bidirectional Rotating Turbine Hybrid Triboelectric‐Electromagnetic Wave Energy Harvester for Marine Environment Monitoring. Advanced Energy Materials. 14(26). 25 indexed citations
11.
Guan, Xiang, Yongming Yao, Kuankuan Wang, et al.. (2024). Wireless Online Rotation Monitoring System for UAV Motors Based on a Soft-Contact Triboelectric Nanogenerator. ACS Applied Materials & Interfaces. 16(35). 46516–46526. 6 indexed citations
12.
Li, Yulong, et al.. (2023). Optimal Energy Consumption Path Planning for Unmanned Aerial Vehicles Based on Improved Particle Swarm Optimization. Sustainability. 15(16). 12101–12101. 30 indexed citations
13.
Yao, Yongming, Kuankuan Wang, Xiaobin Gao, et al.. (2022). Planar Acceleration Sensor for UAV in Cruise State Based on Single-Electrode Triboelectric Nanogenerator. IEEE Sensors Journal. 23(3). 3041–3049. 14 indexed citations
14.
Liu, Huiying, Yongming Yao, Jie Wang, Tingyi Yang, & Tianyu Li. (2022). Energy management and system design for fuel cell hybrid unmanned aerial vehicles. Energy Science & Engineering. 10(10). 3987–4006. 6 indexed citations
15.
Cheng, Zhibo, et al.. (2021). Energy Management for Fuel Cell/Battery Hybrid Unmanned Aerial Vehicle. SHILAP Revista de lepidopterología. 16(9). 210919–210919. 9 indexed citations
16.
Sun, Tianhao, Huiying Liu, Yongming Yao, Tianyu Li, & Zhibo Cheng. (2021). Distributed Adaptive Formation Tracking Control under Fixed and Switching Topologies: Application on General Linear Multi-Agent Systems. Symmetry. 13(6). 941–941. 14 indexed citations
17.
Yao, Yongming, et al.. (2021). Valveless Piezoelectric Pump with Reverse Diversion Channel. Electronics. 10(14). 1712–1712. 17 indexed citations
18.
Li, Tianyu, et al.. (2020). Multiobjective Optimal Predictive Energy Management for Fuel Cell/Battery Hybrid Construction Vehicles. IEEE Access. 8. 25927–25937. 31 indexed citations
19.
20.
Liu, Shunan, Jialin Liu, Chunxue Wang, et al.. (2015). Research on aerodynamic performance in a slow forward flight and optimum design of a coaxial compound helicopter. 80–90. 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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