Junyi Luo
Impact in
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- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
- Neuroscience and Neural Engineering
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- Memory and Neural Mechanisms
Papers in
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- Medical Image Segmentation Techniques 2
- Co-authors
- Yun Wang (1 shared paper)Caizhi Wu (1 shared paper)Henry Markram (1 shared paper)Anirudh Gupta (1 shared paper)Maria Toledo‐Rodriguez (1 shared paper)Gilad Silberberg (1 shared paper)Qing Huang (1 shared paper)Yan Zhang (1 shared paper)
- Journals
- Materials (1 paper)Chemosphere (1 paper)Journal of Drug Delivery Science and Technology (1 paper)The Journal of Physiology (1 paper)Ecological Processes (1 paper)
- Partner nations
- ChinaGermanySwitzerland
In The Last Decade
Junyi Luo
12 papers receiving 451 citations
Peers
Comparison fields: 5 of 77
- Cellular and Molecular Neuroscience 307
- Cognitive Neuroscience 262
- Developmental Neuroscience 40
- Neurology 52
- Biological Psychiatry 5
Countries citing papers authored by Junyi Luo
This map shows the geographic impact of Junyi Luo'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 Junyi Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junyi Luo more than expected).
Fields of papers citing papers by Junyi Luo
This network shows the impact of papers produced by Junyi Luo. 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 Junyi Luo. The network helps show where Junyi Luo may publish in the future.
Co-authors
The 25 scholars most cited alongside Junyi Luo, 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 | 2004 | 365 | |
| 2 | 2020 | 31 | |
| 3 | 2008 | 25 | |
| 4 | 2023 | 15 | |
| 5 | 2018 | 8 | |
| 6 | 2019 | 6 | |
| 7 | 2018 | 5 | |
| 8 | 2023 | 2 | |
| 9 | 2025 | 2 | |
| 10 | 2024 | 1 | |
| 11 | 2025 | 1 | |
| 12 | 2014 | 1 | |
| 13 | 2025 | 0 |
About Junyi Luo
Junyi Luo is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology, Health, Toxicology and Mutagenesis, Radiology, Nuclear Medicine and Imaging and Cell Biology, having authored 13 papers that have together received 462 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (2 papers), Optical Imaging and Spectroscopy Techniques (1 paper), Wind and Air Flow Studies (1 paper), Surfactants and Colloidal Systems (1 paper), Neuroscience and Neuropharmacology Research (1 paper), Medical Imaging Techniques and Applications (1 paper), melanin and skin pigmentation (1 paper) and Viral gastroenteritis research and epidemiology (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (307 citations), Cognitive Neuroscience (262 citations), Developmental Neuroscience (40 citations), Neurology (52 citations) and Biological Psychiatry (5 citations). Junyi Luo has collaborated with scholars based in China, Germany and Switzerland. Frequent co-authors include Yun Wang, Caizhi Wu, Henry Markram, Anirudh Gupta, Maria Toledo‐Rodriguez, Gilad Silberberg, Qing Huang, Yan Zhang, Junfeng Wang and Yuxin Xu. Their work appears in journals such as Materials, Chemosphere, Journal of Drug Delivery Science and Technology, The Journal of Physiology and Ecological Processes.
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.