Yi Gao
Impact in
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- Medical Image Segmentation Techniques
- Advanced Neural Network Applications
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- Urinary Bladder and Prostate Research
Papers in
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- Visual perception and processing mechanisms 9
- Functional Brain Connectivity Studies 4
- Face Recognition and Perception 3
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- Medical Image Segmentation Techniques 10
- Advanced Image and Video Retrieval Techniques 4
- Co-authors
- Allen Tannenbaum (11 shared papers)Romeil Sandhu (1 shared paper)Limin Liao (4 shared papers)Gábor Fichtinger (1 shared paper)C.P. Wong (3 shared papers)Fang Jiang (7 shared papers)Bertil Blok (1 shared paper)Kyoung‐sik Moon (2 shared papers)
- Journals
- Scientific Reports (3 papers)Journal of Vision (2 papers)Vision Research (2 papers)JAMA Network Open (1 paper)Trends in Cognitive Sciences (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yi Gao
44 papers receiving 293 citations
Peers
Comparison fields: 5 of 101
- Computer Vision and Pattern Recognition 80
- Urology 20
- Cognitive Neuroscience 53
- Gender Studies 22
- Polymers and Plastics 32
Countries citing papers authored by Yi Gao
This map shows the geographic impact of Yi 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 Yi Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Gao more than expected).
Fields of papers citing papers by Yi Gao
This network shows the impact of papers produced by Yi 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 Yi Gao. The network helps show where Yi Gao may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 40 | |
| 2 | 2012 | 29 | |
| 3 | 2021 | 22 | |
| 4 | 2015 | 21 | |
| 5 | 2011 | 16 | |
| 6 | 2016 | 15 | |
| 7 | 2012 | 14 | |
| 8 | 2018 | 14 | |
| 9 | 2019 | 12 | |
| 10 | 2020 | 10 | |
| 11 | 2019 | 9 | |
| 12 | 2010 | 9 | |
| 13 | 2021 | 8 | |
| 14 | 2022 | 7 | |
| 15 | 2022 | 6 | |
| 16 | 2012 | 5 | |
| 17 | 2021 | 5 | |
| 18 | 2020 | 5 | |
| 19 | 2021 | 4 | |
| 20 | 2007 | 4 |
About Yi Gao
Yi Gao is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology, Molecular Biology and Social Psychology, having authored 51 papers that have together received 300 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (10 papers), Visual perception and processing mechanisms (9 papers), Multisensory perception and integration (6 papers), Advanced Image and Video Retrieval Techniques (4 papers), Functional Brain Connectivity Studies (4 papers), Face Recognition and Perception (3 papers), Ophthalmology and Visual Impairment Studies (3 papers) and Computational Geometry and Mesh Generation (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (80 citations), Urology (20 citations), Cognitive Neuroscience (53 citations), Gender Studies (22 citations) and Polymers and Plastics (32 citations). Yi Gao has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Allen Tannenbaum, Romeil Sandhu, Limin Liao, Gábor Fichtinger, C.P. Wong, Fang Jiang, Bertil Blok, Kyoung‐sik Moon, Osman B. Kavcar and Zhuo Li. Their work appears in journals such as Scientific Reports, Journal of Vision, Vision Research, JAMA Network Open and Trends in Cognitive Sciences.
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.