Yueming Gao
Impact in
- Electrochemistry top 5%
- Electrochemical Analysis and Applications
- Biomedical Engineering top 5%
- Wireless Body Area Networks
- Molecular Communication and Nanonetworks
Papers in
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- Wireless Body Area Networks 60
- Molecular Communication and Nanonetworks 38
- Muscle activation and electromyography studies 17
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- Energy Harvesting in Wireless Networks 12
- Electrochemical sensors and biosensors 11
- Co-authors
- Feng Gao (4 shared papers)Min Du (54 shared papers)Mang I Vai (53 shared papers)Sio Hang Pun (49 shared papers)Junyong Sun (2 shared papers)Peng Un Mak (30 shared papers)Anguo Zhang (11 shared papers)Željka Lučev Vasić (29 shared papers)
In The Last Decade
Yueming Gao
134 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 139
- Electrochemistry 135
- Biomedical Engineering 651
- Electrical and Electronic Engineering 606
- Polymers and Plastics 126
- Geriatrics and Gerontology 24
Countries citing papers authored by Yueming Gao
This map shows the geographic impact of Yueming Gao'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 Yueming Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yueming Gao more than expected).
Fields of papers citing papers by Yueming Gao
This network shows the impact of papers produced by Yueming Gao. 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 Yueming Gao. The network helps show where Yueming Gao may publish in the future.
Co-authors
The 25 scholars most cited alongside Yueming Gao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 154 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 121 | |
| 2 | 2012 | 88 | |
| 3 | 2011 | 68 | |
| 4 | 2014 | 57 | |
| 5 | 2005 | 52 | |
| 6 | 2023 | 49 | |
| 7 | 2021 | 47 | |
| 8 | 2018 | 46 | |
| 9 | 2021 | 45 | |
| 10 | 2004 | 43 | |
| 11 | 2017 | 39 | |
| 12 | 2012 | 34 | |
| 13 | 2022 | 34 | |
| 14 | 2020 | 30 | |
| 15 | 2023 | 25 | |
| 16 | 2016 | 24 | |
| 17 | 2023 | 24 | |
| 18 | 2020 | 24 | |
| 19 | 2021 | 23 | |
| 20 | 2018 | 22 |
About Yueming Gao
Yueming Gao is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Computer Networks and Communications, Molecular Biology and Cellular and Molecular Neuroscience, having authored 154 papers that have together received 1.5k indexed citations. Recurring topics across this work include Wireless Body Area Networks (60 papers), Molecular Communication and Nanonetworks (38 papers), Bluetooth and Wireless Communication Technologies (17 papers), Muscle activation and electromyography studies (17 papers), Neuroscience and Neural Engineering (14 papers), Energy Harvesting in Wireless Networks (12 papers), Electrochemical sensors and biosensors (11 papers) and Body Composition Measurement Techniques (9 papers). The work is most often cited by research in Electrochemistry (135 citations), Biomedical Engineering (651 citations), Electrical and Electronic Engineering (606 citations), Polymers and Plastics (126 citations) and Geriatrics and Gerontology (24 citations). Yueming Gao has collaborated with scholars based in China, Macao and Croatia. Frequent co-authors include Feng Gao, Min Du, Mang I Vai, Sio Hang Pun, Junyong Sun, Peng Un Mak, Anguo Zhang, Željka Lučev Vasić, Mei Zhao and Yuzhen Niu. Their work appears in journals such as IEEE Access, Sensors, IEEE Journal of Electromagnetics RF and Microwaves in Medicine and Biology, IEEE Sensors Journal and Microchimica Acta.
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.