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 5
- Video Surveillance and Tracking Methods 5
- Image Enhancement Techniques 4
- Co-authors
- Kaibo Shi (3 shared papers)Bin Yan (3 shared papers)Bin Yan (9 shared papers)Xiao‐Ming Jiang (2 shared papers)Yufu Huang (3 shared papers)Bin‐Wen Liu (2 shared papers)Weiqing Pan (2 shared papers)Guo‐Cong Guo (2 shared papers)
In The Last Decade
Run Ye
25 papers receiving 343 citations
Peers
Comparison fields: 5 of 78
- Modeling and Simulation 21
- Electronic, Optical and Magnetic Materials 58
- Public Health, Environmental and Occupational Health 78
- Computational Theory and Mathematics 34
- Parasitology 12
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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 78 | |
| 2 | 2016 | 57 | |
| 3 | 2020 | 31 | |
| 4 | 2020 | 27 | |
| 5 | 2018 | 24 | |
| 6 | 2018 | 19 | |
| 7 | 2016 | 19 | |
| 8 | 2023 | 17 | |
| 9 | 2016 | 14 | |
| 10 | 2024 | 13 | |
| 11 | 2021 | 10 | |
| 12 | 2019 | 5 | |
| 13 | 2024 | 5 | |
| 14 | 2022 | 4 | |
| 15 | 2020 | 4 | |
| 16 | 2018 | 4 | |
| 17 | 2018 | 4 | |
| 18 | 2017 | 4 | |
| 19 | 2022 | 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 Control and Systems Engineering, having authored 30 papers that have together received 350 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (5 papers), Video Surveillance and Tracking Methods (5 papers), Image Enhancement Techniques (4 papers), Fire Detection and Safety Systems (3 papers), Malaria Research and Control (3 papers), Energy Efficient Wireless Sensor Networks (3 papers), Underwater Vehicles and Communication Systems (2 papers) and Cooperative Communication and Network Coding (2 papers). The work is most often cited by research in Modeling and Simulation (21 citations), Electronic, Optical and Magnetic Materials (58 citations), Public Health, Environmental and Occupational Health (78 citations), Computational Theory and Mathematics (34 citations) and Parasitology (12 citations). Run Ye has collaborated with scholars based in China, Canada and Hong Kong. Frequent co-authors include Kaibo Shi, Bin Yan, Bin Yan, Xiao‐Ming Jiang, Yufu Huang, Bin‐Wen Liu, Weiqing Pan, Guo‐Cong Guo, Azzedine Boukerche and Houjun Wang. Their work appears in journals such as Wireless Networks, IEEE Access, Malaria Journal, Computer Networks and The Visual Computer.
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.