Baodong Chen

6.0k total citations · 2 hit papers
118 papers, 5.1k citations indexed

About

Baodong Chen is a scholar working on Biomedical Engineering, Polymers and Plastics and Mechanical Engineering. According to data from OpenAlex, Baodong Chen has authored 118 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Biomedical Engineering, 56 papers in Polymers and Plastics and 23 papers in Mechanical Engineering. Recurrent topics in Baodong Chen's work include Advanced Sensor and Energy Harvesting Materials (75 papers), Conducting polymers and applications (55 papers) and Tactile and Sensory Interactions (22 papers). Baodong Chen is often cited by papers focused on Advanced Sensor and Energy Harvesting Materials (75 papers), Conducting polymers and applications (55 papers) and Tactile and Sensory Interactions (22 papers). Baodong Chen collaborates with scholars based in China, United States and Hong Kong. Baodong Chen's co-authors include Zhong Lin Wang, Wei Tang, Tao Jiang, Liang Xu, Jiajia Shao, Laipan Zhu, Chuan He, Hengyu Guo, Jing Wen and Fangjing Xing and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and ACS Nano.

In The Last Decade

Baodong Chen

111 papers receiving 5.1k citations

Hit Papers

A highly sensitive, self-powered triboelectric auditory s... 2018 2026 2020 2023 2018 2023 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Baodong Chen China 39 4.3k 2.7k 1.3k 1.2k 1.1k 118 5.1k
Zhiyi Wu China 40 5.2k 1.2× 3.3k 1.2× 1.4k 1.1× 1.6k 1.3× 1.3k 1.2× 122 6.1k
Wenbo Ding China 36 5.7k 1.3× 4.0k 1.5× 1.6k 1.3× 1.4k 1.2× 1.7k 1.5× 84 6.8k
Tinghai Cheng China 41 4.4k 1.0× 2.5k 0.9× 1.2k 1.0× 2.0k 1.6× 1.2k 1.1× 180 5.3k
Yaokun Pang China 39 3.9k 0.9× 2.5k 0.9× 997 0.8× 1.1k 0.9× 1.5k 1.4× 63 5.2k
Ying‐Chih Lai Taiwan 37 4.2k 1.0× 2.9k 1.1× 1.3k 1.0× 948 0.8× 1.4k 1.2× 73 5.3k
Shuying Wu Australia 41 2.8k 0.7× 2.0k 0.8× 675 0.5× 962 0.8× 1.2k 1.1× 120 5.0k
Mengdi Han China 47 7.0k 1.6× 3.7k 1.4× 1.8k 1.4× 2.6k 2.1× 1.9k 1.7× 135 8.4k
Xiaohui Guo China 41 3.1k 0.7× 1.3k 0.5× 1.1k 0.9× 659 0.5× 1.8k 1.6× 210 5.1k
Binbin Zhang China 40 5.4k 1.3× 3.6k 1.3× 1.4k 1.1× 1.6k 1.3× 1.9k 1.7× 134 7.1k
Qize Zhong China 29 2.7k 0.6× 1.6k 0.6× 685 0.5× 646 0.5× 1.4k 1.3× 89 3.8k

Countries citing papers authored by Baodong Chen

Since Specialization
Citations

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

Fields of papers citing papers by Baodong Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baodong Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Baodong Chen. A scholar is included among the top collaborators of Baodong Chen 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 Baodong Chen. Baodong Chen 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.
Shao, Wei, et al.. (2025). Experimental and theoretical insights into the load-bearing performance of CFRP-wrapped reinforced concrete piles in marine environments. Construction and Building Materials. 472. 140880–140880. 6 indexed citations
2.
Cao, Leo N.Y., Chengyu Li, Yang Jiang, et al.. (2025). Conformal self-powered high signal-to-noise ratio biomimetic in-situ aircraft surface turbulence mapping system. Nano Energy. 136. 110694–110694. 4 indexed citations
3.
4.
Zhou, Tengfei, Xiaobo Gao, Zijie Xu, et al.. (2025). Low resonance, omnidirectionally stable triboelectric nanogenerator for ocean wave energy harvesting. Chemical Engineering Journal. 526. 171443–171443.
5.
Gao, Xiaobo, et al.. (2025). Roadbed tribological energy harvester. Science Advances. 11(25). eadv9379–eadv9379. 5 indexed citations
6.
7.
Bao, Jinxiao, et al.. (2025). Breakthroughs and challenges in cylindrical TENGs toward high-efficiency harvesting high-entropy energy. Nano Energy. 141. 111138–111138. 1 indexed citations
8.
Gao, Xiaobo, et al.. (2024). Double helix rotating TENGs driven by ultra-low loading for harvesting high-entropy water flow energy. Renewable Energy. 238. 121919–121919. 4 indexed citations
9.
Li, Hao, et al.. (2024). A review of spherical triboelectric nanogenerators for harvesting high-entropy ocean wave energy. Chemical Engineering Journal. 499. 156193–156193. 10 indexed citations
10.
Gao, Xiaobo, et al.. (2024). A Study on the Mechanisms and Performance of a Polyvinyl Alcohol-Based Nanogenerator Based on the Triboelectric Effect. Materials. 17(18). 4514–4514. 3 indexed citations
11.
Cao, Leo N.Y., Chengyu Li, Yang Jiang, et al.. (2024). Self‐Powered Digital Angle Sensor Based on Triboelectric Signal for Variable Structure of Aircraft. Advanced Materials Technologies. 9(14). 3 indexed citations
12.
Wang, Yaqiang, et al.. (2024). High-performance triboelectric nanogenerator with aminated barium titanate composite nanoparticles for early Parkinson’s disease diagnosis. Chemical Engineering Journal. 500. 156710–156710. 6 indexed citations
13.
Gao, Xiaobo, Fangjing Xing, Feng Guo, et al.. (2024). Scalable-produced micro-elastic triboelectric sensing ground for all-weather large-scale applications. Chemical Engineering Journal. 493. 152645–152645. 13 indexed citations
14.
Gao, Xiaobo, Fangjing Xing, Feng Guo, et al.. (2023). Strongly enhanced charge density via gradient nano-doping for high performance elastic-material-based triboelectric nanogenerators. Materials Today. 65. 26–36. 49 indexed citations
15.
Gao, Xiaobo, Fangjing Xing, Feng Guo, et al.. (2023). Constructing gradient triboelectric charge to enhance power output for elastic-materials-based TENGs. Chemical Engineering Journal. 477. 147186–147186. 19 indexed citations
16.
Gao, Yu, et al.. (2023). Vibration-coupled TENGs from weak to ultra-strong induced by vortex for harvesting low-grade airflow energy. Nano Energy. 119. 109062–109062. 26 indexed citations
17.
Chen, Baodong, et al.. (2023). Multiangle, self-powered sensor array for monitoring head impacts. Science Advances. 9(20). eadg5152–eadg5152. 120 indexed citations breakdown →
18.
Yang, Jin, Jie An, Yanshuo Sun, et al.. (2022). Transparent self-powered triboelectric sensor based on PVA/PA hydrogel for promoting human-machine interaction in nursing and patient safety. Nano Energy. 97. 107199–107199. 101 indexed citations
19.
Guo, Hengyu, Xianjie Pu, Jie Chen, et al.. (2018). A highly sensitive, self-powered triboelectric auditory sensor for social robotics and hearing aids. Science Robotics. 3(20). 713 indexed citations breakdown →
20.
Yen, Tzu-Hsiang, et al.. (2011). Numerical simulation and performance test of metal hydride hydrogen storage system. 2(3). 401–414. 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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