Jingna Mao

427 total citations
34 papers, 311 citations indexed

About

Jingna Mao is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Jingna Mao has authored 34 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Biomedical Engineering, 18 papers in Electrical and Electronic Engineering and 9 papers in Computer Networks and Communications. Recurrent topics in Jingna Mao's work include Wireless Body Area Networks (27 papers), Energy Harvesting in Wireless Networks (14 papers) and Molecular Communication and Nanonetworks (13 papers). Jingna Mao is often cited by papers focused on Wireless Body Area Networks (27 papers), Energy Harvesting in Wireless Networks (14 papers) and Molecular Communication and Nanonetworks (13 papers). Jingna Mao collaborates with scholars based in China, Canada and United States. Jingna Mao's co-authors include Huazhong Yang, Bo Zhao, Yong Lian, Wuqi Wang, Jian Zhao, Zhiwei Zhang, Shinnosuke Horiuchi, Takashi Taniguchi, Yongpan Liu and Wenyu Sun and has published in prestigious journals such as IEEE Transactions on Power Electronics, Materials Letters and Philosophical magazine. A/Philosophical magazine. A. Physics of condensed matter. Structure, defects and mechanical properties.

In The Last Decade

Jingna Mao

30 papers receiving 306 citations

Peers

Jingna Mao
Yongsang Kim South Korea
Jagdish Pandey United States
Kye‐Shin Lee United States
Liechao Huang United States
Sunghun Kang South Korea
Yongsang Kim South Korea
Jingna Mao
Citations per year, relative to Jingna Mao Jingna Mao (= 1×) peers Yongsang Kim

Countries citing papers authored by Jingna Mao

Since Specialization
Citations

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

Fields of papers citing papers by Jingna Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingna Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Jingna Mao. A scholar is included among the top collaborators of Jingna 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 Jingna Mao. Jingna Mao 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
4.
Mao, Jingna, et al.. (2024). An Investigation of Implantable Capacitive Coupling Intra-body Power Transfer based on Full-band Loss Compensation. IEEE Transactions on Power Electronics. 39(7). 8904–8915. 3 indexed citations
5.
Kong, Linghui, Zhiwei Zhang, Shan Yu, & Jingna Mao. (2024). An Intracortical Wireless Bidirectional Brain-Computer Interface with High Data Density. 1–5. 1 indexed citations
6.
Wang, Xuedi, et al.. (2023). A 60Mb/s -64dBm Body Channel Communication Transceiver Utilizing Manchester Code. PubMed. 2023. 1–4. 1 indexed citations
7.
Mao, Jingna, et al.. (2023). Multi-channel Wireless Implantable Brain-Computer Interface System. PubMed. 2023. 1–4.
8.
Wang, Xuedi, Zhiwei Zhang, & Jingna Mao. (2023). A Body Channel Communication Transceiver System Utilizing Manchester Code for WBAN with Multi-sensor Nodes. 51. 1–5. 1 indexed citations
10.
Mao, Jingna, et al.. (2021). Body Channel Based Wireless Power Transfer Method for Implantable Bioelectronics. 1–5. 5 indexed citations
11.
Wang, Ting, et al.. (2021). Residual Learning Attention CNN for Motion Intention Recognition Based on EEG Data. 1–6. 3 indexed citations
13.
Zhao, Bo, Jingna Mao, Jian Zhao, Huazhong Yang, & Yong Lian. (2020). The Role and Challenges of Body Channel Communication in Wearable Flexible Electronics. IEEE Transactions on Biomedical Circuits and Systems. 14(2). 283–296. 40 indexed citations
14.
Mao, Jingna & Zhiwei Zhang. (2020). Investigation on the Human Body as A Monopole Antenna for Energy Harvesting. PubMed. 2020. 4169–4174. 3 indexed citations
15.
Zhao, Jian, Wenyu Sun, Jingna Mao, et al.. (2019). An Auto Loss Compensation System for Capacitive-Coupled Body Channel Communication. IEEE Transactions on Biomedical Circuits and Systems. 13(4). 756–765. 12 indexed citations
16.
Zhao, Jian, Jingna Mao, Wenyu Sun, et al.. (2019). A 4-Mbps 41-pJ/bit On-off Keying Transceiver for Body-channel Communication with Enhanced Auto Loss Compensation Technique. 173–176. 12 indexed citations
17.
Mao, Jingna, Huazhong Yang, Yong Lian, & Bo Zhao. (2018). Channel Loss in Contactless Human Body Communication. PubMed. 58. 3762–3765. 1 indexed citations
18.
Mao, Jingna, Bo Zhao, Yong Lian, & Huazhong Yang. (2016). A self-adaptive body channel communication scheme for backward path loss reduction. 7 indexed citations
19.
Mao, Jingna, Bo Zhao, Yong Lian, & Huazhong Yang. (2015). The effects of GND electrodes in capacitive-coupling body channel communication. 1–4. 11 indexed citations
20.
Mao, Jingna, et al.. (1994). An HREM investigation of the structure and defects in TiMnSi2. Materials Letters. 18(5-6). 257–262. 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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