Ru‐Yuan Zhang
- Geophysics top 2%
- Geological and Geochemical Analysis 6
- High-pressure geophysics and materials 4
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function 11
- Functional Brain Connectivity Studies 11
- Visual perception and processing mechanisms 10
- Geochemistry and Petrology top 10%
- Artificial Intelligence top 5%
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- Advanced Neuroimaging Techniques and Applications 5
- Advanced MRI Techniques and Applications 4
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- Ophthalmology and Visual Impairment Studies 4
- Co-authors
- Xiaohua XieLingxiao YangLida LiQing‐guo ZhaiBor‐ming JahnJ. G. LiouBolin CongTsuyoshi Hirajima
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Neuroscience (3 papers)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Ru‐Yuan Zhang
63 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 165
- Geophysics 743
- Cognitive Neuroscience 418
- Computer Vision and Pattern Recognition 299
- Geochemistry and Petrology 77
- Artificial Intelligence 326
Countries citing papers authored by Ru‐Yuan Zhang
This map shows the geographic impact of Ru‐Yuan Zhang'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 Ru‐Yuan Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ru‐Yuan Zhang more than expected).
Fields of papers citing papers by Ru‐Yuan Zhang
This network shows the impact of papers produced by Ru‐Yuan Zhang. 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 Ru‐Yuan Zhang. The network helps show where Ru‐Yuan Zhang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ru‐Yuan Zhang, 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 | 0 | |
| 2 | 2025 | 6 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 5 | |
| 10 | 2022 | 4 | |
| 11 | 2022 | 10 | |
| 12 | 2021 | 35 | |
| 13 | 2021 | 8 | |
| 14 | 2021 | 14 | |
| 15 | SimAM: A Simple, Parameter-Free Attention Module for Convolutional Neural Networksbreakdown → | 2021 | 499 |
| 16 | 2020 | 28 | |
| 17 | 2020 | 8 | |
| 18 | 2019 | 6 | |
| 19 | 2017 | 3 | |
| 20 | 2015 | 24 |
About Ru‐Yuan Zhang
Ru‐Yuan Zhang is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Geophysics, having authored 68 papers that have together received 2.1k indexed citations. Recurring topics across this work include Neural dynamics and brain function (11 papers), Functional Brain Connectivity Studies (11 papers), Visual perception and processing mechanisms (10 papers), Geological and Geochemical Analysis (6 papers), Advanced Neuroimaging Techniques and Applications (5 papers), Ophthalmology and Visual Impairment Studies (4 papers), High-pressure geophysics and materials (4 papers) and Advanced MRI Techniques and Applications (4 papers). The work is most often cited by research in Geophysics (743 citations), Cognitive Neuroscience (418 citations) and Computer Vision and Pattern Recognition (299 citations). Ru‐Yuan Zhang has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Xiaohua Xie, Lingxiao Yang, Lida Li, Qing‐guo Zhai, Bor‐ming Jahn, J. G. Liou, Bolin Cong, Tsuyoshi Hirajima, Shohei Banno and Li Su. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and SHILAP Revista de lepidopterología.
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.