Yübo Wang
Impact in
- Pollution top 5%
- Wastewater Treatment and Nitrogen Removal
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
Papers in
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- Energy Load and Power Forecasting 7
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- EEG and Brain-Computer Interfaces 18
- Neural dynamics and brain function 14
- Functional Brain Connectivity Studies 13
- Co-authors
- Kalyana C. Veluvolu (15 shared papers)Liyu Huang (23 shared papers)Lianfu Zheng (1 shared paper)Martin G. Wiesner (1 shared paper)George Wells (2 shared papers)Fenghua Yang (2 shared papers)Alex Rosenthal (2 shared papers)Paul Roots (2 shared papers)
- Journals
- Sensors (5 papers)Clinical Neurophysiology (3 papers)Scientific Reports (2 papers)Behavioural Brain Research (2 papers)IEEE Access (2 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Yübo Wang
125 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 169
- Pollution 277
- Radiology, Nuclear Medicine and Imaging 355
- Cognitive Neuroscience 262
- Industrial and Manufacturing Engineering 115
- Obstetrics and Gynecology 86
Countries citing papers authored by Yübo Wang
This map shows the geographic impact of Yübo Wang'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 Yübo Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yübo Wang more than expected).
Fields of papers citing papers by Yübo Wang
This network shows the impact of papers produced by Yübo Wang. 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 Yübo Wang. The network helps show where Yübo Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yübo Wang, 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 151 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 257 | |
| 2 | 2004 | 96 | |
| 3 | 1995 | 89 | |
| 4 | 2019 | 78 | |
| 5 | 2019 | 69 | |
| 6 | 2019 | 65 | |
| 7 | 2020 | 64 | |
| 8 | 2015 | 61 | |
| 9 | 2021 | 50 | |
| 10 | 2011 | 47 | |
| 11 | 2020 | 47 | |
| 12 | 2013 | 45 | |
| 13 | 2019 | 36 | |
| 14 | 2012 | 35 | |
| 15 | 2016 | 34 | |
| 16 | 2015 | 31 | |
| 17 | 2012 | 30 | |
| 18 | 2011 | 28 | |
| 19 | 2015 | 26 | |
| 20 | 2015 | 23 |
About Yübo Wang
Yübo Wang is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 151 papers that have together received 1.8k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (18 papers), Neural dynamics and brain function (14 papers), Functional Brain Connectivity Studies (13 papers), Radiomics and Machine Learning in Medical Imaging (12 papers), Advanced Neuroimaging Techniques and Applications (8 papers), Energy Load and Power Forecasting (7 papers), Anesthesia and Sedative Agents (7 papers) and Image Enhancement Techniques (6 papers). The work is most often cited by research in Pollution (277 citations), Radiology, Nuclear Medicine and Imaging (355 citations), Cognitive Neuroscience (262 citations), Industrial and Manufacturing Engineering (115 citations) and Obstetrics and Gynecology (86 citations). Yübo Wang has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Kalyana C. Veluvolu, Liyu Huang, Lianfu Zheng, Martin G. Wiesner, George Wells, Fenghua Yang, Alex Rosenthal, Paul Roots, Joseph A. Kozak and Fabrizio Sabba. Their work appears in journals such as Sensors, Clinical Neurophysiology, Scientific Reports, Behavioural Brain Research and IEEE Access.
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.