Gene J. Yu
- Geology top 5%
-
- Neuroscience and Neuropharmacology Research 16
- Neuroscience and Neural Engineering 5
-
- Advanced Vision and Imaging 3
- Environmental Engineering top 10%
-
- Neural dynamics and brain function 15
- Memory and Neural Mechanisms 13
- EEG and Brain-Computer Interfaces 3
- Functional Brain Connectivity Studies 3
-
- Neurogenesis and neuroplasticity mechanisms 4
- Co-authors
- George WolbergSiavash ZokaiTheodore W. BergerDong SongIoannis StamosLingyun LiuChao ChenYong Wang
- Journals
- Analytical Chemistry (1 paper)Medicine & Science in Sports & Exercise (1 paper)IEEE Transactions on Biomedical Engineering (3 papers)
- Partner nations
- United StatesItaly
In The Last Decade
Gene J. Yu
32 papers receiving 341 citations
Peers
Comparison fields: 5 of 62
- Geology 105
- Cellular and Molecular Neuroscience 102
- Computer Vision and Pattern Recognition 108
- Environmental Engineering 72
- Cognitive Neuroscience 97
Countries citing papers authored by Gene J. Yu
This map shows the geographic impact of Gene J. Yu'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 Gene J. Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gene J. Yu more than expected).
Fields of papers citing papers by Gene J. Yu
This network shows the impact of papers produced by Gene J. Yu. 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 Gene J. Yu. The network helps show where Gene J. Yu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gene J. Yu, 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 | 2025 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 1 | |
| 4 | 2021 | 2 | |
| 5 | 2020 | 0 | |
| 6 | 2020 | 3 | |
| 7 | 2020 | 4 | |
| 8 | 2020 | 1 | |
| 9 | 2018 | 17 | |
| 10 | 2016 | 5 | |
| 11 | 2015 | 14 | |
| 12 | 2015 | 2 | |
| 13 | 2015 | 1 | |
| 14 | 2014 | 4 | |
| 15 | 2013 | 1 | |
| 16 | 2013 | 2 | |
| 17 | 2012 | 5 | |
| 18 | 2012 | 8 | |
| 19 | 2012 | 8 | |
| 20 | 2007 | 78 |
About Gene J. Yu
Gene J. Yu is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Developmental Neuroscience, having authored 33 papers that have together received 354 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (16 papers), Neural dynamics and brain function (15 papers), Memory and Neural Mechanisms (13 papers), Neuroscience and Neural Engineering (5 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), EEG and Brain-Computer Interfaces (3 papers), Advanced Vision and Imaging (3 papers) and Functional Brain Connectivity Studies (3 papers). The work is most often cited by research in Geology (105 citations), Cellular and Molecular Neuroscience (102 citations) and Computer Vision and Pattern Recognition (108 citations). Gene J. Yu has collaborated with scholars based in United States and Italy. Frequent co-authors include George Wolberg, Siavash Zokai, Theodore W. Berger, Dong Song, Ioannis Stamos, Lingyun Liu, Chao Chen, Yong Wang, Tricia A. Harvat and David Eddington. Their work appears in journals such as Analytical Chemistry, Medicine & Science in Sports & Exercise and IEEE Transactions on Biomedical Engineering.
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.