Run Ye
Impact in
- Modeling and Simulation top 10%
- Fractional Differential Equations Solutions
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- Crystal Structures and Properties
- Nonlinear Optical Materials Research
Papers in
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- Advanced Neural Network Applications 4
- Image Enhancement Techniques 3
- Co-authors
- Bin Yan (3 shared papers)Kaibo Shi (3 shared papers)Bin Yan (7 shared papers)Xiao‐Ming Jiang (2 shared papers)Guo‐Cong Guo (2 shared papers)Bin‐Wen Liu (2 shared papers)Azzedine Boukerche (4 shared papers)Weiqing Pan (2 shared papers)
In The Last Decade
Run Ye
23 papers receiving 321 citations
Peers
Comparison fields: 5 of 73
- Modeling and Simulation 20
- Electronic, Optical and Magnetic Materials 56
- Computational Theory and Mathematics 45
- Public Health, Environmental and Occupational Health 71
- Parasitology 14
Countries citing papers authored by Run Ye
This map shows the geographic impact of Run Ye'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 Run Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Run Ye more than expected).
Fields of papers citing papers by Run Ye
This network shows the impact of papers produced by Run Ye. 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 Run Ye. The network helps show where Run Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Run Ye, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 76 | |
| 2 | 2016 | 51 | |
| 3 | 2020 | 30 | |
| 4 | 2020 | 26 | |
| 5 | 2018 | 23 | |
| 6 | 2018 | 19 | |
| 7 | 2016 | 16 | |
| 8 | 2023 | 14 | |
| 9 | 2016 | 14 | |
| 10 | 2024 | 11 | |
| 11 | 2021 | 10 | |
| 12 | 2024 | 5 | |
| 13 | 2022 | 4 | |
| 14 | 2018 | 4 | |
| 15 | 2017 | 4 | |
| 16 | 2019 | 4 | |
| 17 | 2018 | 4 | |
| 18 | 2022 | 3 | |
| 19 | 2020 | 3 | |
| 20 | 2020 | 2 |
About Run Ye
Run Ye is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Electrical and Electronic Engineering, Computer Networks and Communications and Computational Theory and Mathematics, having authored 25 papers that have together received 327 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (4 papers), Energy Efficient Wireless Sensor Networks (3 papers), Image Enhancement Techniques (3 papers), Fire Detection and Safety Systems (2 papers), Computational Drug Discovery Methods (2 papers), Crystal Structures and Properties (2 papers), Research on Leishmaniasis Studies (2 papers) and Nonlinear Optical Materials Research (2 papers). The work is most often cited by research in Modeling and Simulation (20 citations), Electronic, Optical and Magnetic Materials (56 citations), Computational Theory and Mathematics (45 citations), Public Health, Environmental and Occupational Health (71 citations) and Parasitology (14 citations). Run Ye has collaborated with scholars based in China, Canada and Thailand. Frequent co-authors include Bin Yan, Kaibo Shi, Bin Yan, Xiao‐Ming Jiang, Guo‐Cong Guo, Bin‐Wen Liu, Azzedine Boukerche, Weiqing Pan, Yufu Huang and Houjun Wang. Their work appears in journals such as IEEE Access, Wireless Networks, Scientific Reports, IEEE Transactions on Applied Superconductivity and ACS Applied Materials & Interfaces.
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.