Leo Ai
Impact in
- Neurology top 5%
- Transcranial Magnetic Stimulation Studies
- Vagus Nerve Stimulation Research
-
- Ultrasound Imaging and Elastography
Papers in
-
- Ultrasound Imaging and Elastography 4
- Advanced MRI Techniques and Applications 3
- Medical Imaging Techniques and Applications 1
-
- Ultrasound and Hyperthermia Applications 7
- Photoacoustic and Ultrasonic Imaging 6
- Co-authors
- Wynn Legon (7 shared papers)Jerel K. Mueller (7 shared papers)Priya Bansal (6 shared papers)Roman Tyshynsky (1 shared paper)Yiğitcan Eryaman (1 shared paper)Andrea Grant (1 shared paper)Gregg Meekins (1 shared paper)Bernadette T. Gillick (1 shared paper)
- Journals
- Scientific Reports (2 papers)Magnetic Resonance Imaging (2 papers)Journal of Neural Engineering (2 papers)Human Brain Mapping (1 paper)BMC Neuroscience (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Leo Ai
10 papers receiving 857 citations
Peers
Comparison fields: 5 of 61
- Neurology 196
- Radiology, Nuclear Medicine and Imaging 466
- Biomedical Engineering 702
- Anesthesiology and Pain Medicine 59
- Neurology 64
Countries citing papers authored by Leo Ai
This map shows the geographic impact of Leo Ai'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 Leo Ai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leo Ai more than expected).
Fields of papers citing papers by Leo Ai
This network shows the impact of papers produced by Leo Ai. 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 Leo Ai. The network helps show where Leo Ai may publish in the future.
Co-authors
The 13 scholars most cited alongside Leo Ai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 234 | |
| 2 | 2018 | 220 | |
| 3 | 2017 | 108 | |
| 4 | 2018 | 101 | |
| 5 | 2020 | 74 | |
| 6 | 2016 | 57 | |
| 7 | 2016 | 50 | |
| 8 | 2014 | 14 | |
| 9 | 2016 | 7 | |
| 10 | 2012 | 1 |
About Leo Ai
Leo Ai is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Cognitive Neuroscience, Neurology and Anesthesiology and Pain Medicine, having authored 10 papers that have together received 866 indexed citations. Recurring topics across this work include Ultrasound and Hyperthermia Applications (7 papers), Photoacoustic and Ultrasonic Imaging (6 papers), Ultrasound Imaging and Elastography (4 papers), Transcranial Magnetic Stimulation Studies (3 papers), Advanced MRI Techniques and Applications (3 papers), Functional Brain Connectivity Studies (3 papers), Medical Imaging Techniques and Applications (1 paper) and EEG and Brain-Computer Interfaces (1 paper). The work is most often cited by research in Neurology (196 citations), Radiology, Nuclear Medicine and Imaging (466 citations), Biomedical Engineering (702 citations), Anesthesiology and Pain Medicine (59 citations) and Neurology (64 citations). Leo Ai has collaborated with scholars based in United States and China. Frequent co-authors include Wynn Legon, Jerel K. Mueller, Priya Bansal, Roman Tyshynsky, Yiğitcan Eryaman, Andrea Grant, Gregg Meekins, Bernadette T. Gillick, Parantap Patel and Jinhu Xiong. Their work appears in journals such as Scientific Reports, Magnetic Resonance Imaging, Journal of Neural Engineering, Human Brain Mapping and BMC Neuroscience.
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.