Yueming Gao
Impact in
- Biomedical Engineering top 10%
- Wireless Body Area Networks
- Molecular Communication and Nanonetworks
- Muscle activation and electromyography studies
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- Advanced Memory and Neural Computing
- Energy Harvesting in Wireless Networks
Papers in ⓘ
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- Wireless Body Area Networks 45
- Molecular Communication and Nanonetworks 30
- Muscle activation and electromyography studies 15
- Biosensors and Analytical Detection 7
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- Neuroscience and Neural Engineering 13
- Co-authors
- Min Du (40 shared papers)Željka Lučev Vasić (28 shared papers)Anguo Zhang (9 shared papers)Mang I Vai (38 shared papers)Yuzhen Niu (5 shared papers)Sio Hang Pun (34 shared papers)Mario Cifrek (25 shared papers)Peng Un Mak (16 shared papers)
In The Last Decade
Yueming Gao
87 papers receiving 675 citations
Peers
Comparison fields: 5 of 107
- Biomedical Engineering 381
- Electrical and Electronic Engineering 251
- Cognitive Neuroscience 74
- Computer Networks and Communications 70
- Cellular and Molecular Neuroscience 56
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 97 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 51 | |
| 2 | 2018 | 46 | |
| 3 | 2021 | 45 | |
| 4 | 2021 | 43 | |
| 5 | 2004 | 42 | |
| 6 | 2020 | 27 | |
| 7 | 2016 | 24 | |
| 8 | 2020 | 23 | |
| 9 | 2021 | 23 | |
| 10 | 2023 | 22 | |
| 11 | 2018 | 21 | |
| 12 | 2020 | 17 | |
| 13 | 2018 | 14 | |
| 14 | 2021 | 13 | |
| 15 | 2024 | 11 | |
| 16 | 2020 | 11 | |
| 17 | 2017 | 10 | |
| 18 | 2020 | 10 | |
| 19 | 2013 | 10 | |
| 20 | 2021 | 9 |
About Yueming Gao
Yueming Gao is a scholar working on Biomedical Engineering, Cellular and Molecular Neuroscience, Computer Networks and Communications, Cardiology and Cardiovascular Medicine and Electrical and Electronic Engineering, having authored 97 papers that have together received 697 indexed citations. Recurring topics across this work include Wireless Body Area Networks (45 papers), Molecular Communication and Nanonetworks (30 papers), Muscle activation and electromyography studies (15 papers), Neuroscience and Neural Engineering (13 papers), Bluetooth and Wireless Communication Technologies (12 papers), Body Composition Measurement Techniques (9 papers), Energy Harvesting in Wireless Networks (8 papers) and Biosensors and Analytical Detection (7 papers). The work is most often cited by research in Biomedical Engineering (381 citations), Electrical and Electronic Engineering (251 citations), Cognitive Neuroscience (74 citations), Computer Networks and Communications (70 citations) and Cellular and Molecular Neuroscience (56 citations). Yueming Gao has collaborated with scholars based in China, Macao and Croatia. Frequent co-authors include Min Du, Željka Lučev Vasić, Anguo Zhang, Mang I Vai, Yuzhen Niu, Sio Hang Pun, Mario Cifrek, Peng Un Mak, Xiumin Li and David Naranjo-Hernández. 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 IEEE Transactions on Cognitive and Developmental Systems.
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.