Junyu Yu
Impact in
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
- Surfaces, Coatings and Films top 10%
Papers in
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- Geological and Geochemical Analysis 5
- earthquake and tectonic studies 5
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- Surface Modification and Superhydrophobicity 3
- Co-authors
- Xiaowen Liu (2 shared papers)Feng Zhang (2 shared papers)Guangbao Yang (1 shared paper)Jie Su (1 shared paper)Yuhan Guo (3 shared papers)Jin Liang (5 shared papers)Weifang Yang (5 shared papers)Chunhui Tao (5 shared papers)
In The Last Decade
Junyu Yu
24 papers receiving 642 citations
Junyu Yu's Hit Papers
Peers
Comparison fields: 5 of 114
- Biomaterials 112
- Surfaces, Coatings and Films 55
- Molecular Medicine 32
- Geophysics 90
- Safety, Risk, Reliability and Quality 61
Countries citing papers authored by Junyu Yu
This map shows the geographic impact of Junyu 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 Junyu Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junyu Yu more than expected).
Fields of papers citing papers by Junyu Yu
This network shows the impact of papers produced by Junyu 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 Junyu Yu. The network helps show where Junyu Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Junyu 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
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 178 | |
| 2 | Prediction of ground surface settlement by shield tunneling using XGBoost and Bayesian Optimization Hit paper breakdown → | 2022 | 134 |
| 3 | 2018 | 61 | |
| 4 | 2023 | 51 | |
| 5 | 2021 | 28 | |
| 6 | 2022 | 23 | |
| 7 | 2022 | 23 | |
| 8 | 2022 | 19 | |
| 9 | 2021 | 18 | |
| 10 | 2022 | 17 | |
| 11 | 2021 | 16 | |
| 12 | 2020 | 16 | |
| 13 | 2025 | 10 | |
| 14 | 2023 | 9 | |
| 15 | 2021 | 9 | |
| 16 | 2022 | 7 | |
| 17 | 2021 | 6 | |
| 18 | 2024 | 5 | |
| 19 | 2024 | 5 | |
| 20 | 2024 | 5 |
About Junyu Yu
Junyu Yu is a scholar working on Geophysics, Surfaces, Coatings and Films, Pollution, Artificial Intelligence and Automotive Engineering, having authored 26 papers that have together received 650 indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (5 papers), earthquake and tectonic studies (5 papers), Surface Modification and Superhydrophobicity (3 papers), Geochemistry and Geologic Mapping (3 papers), Marine Biology and Environmental Chemistry (2 papers), Nanoparticle-Based Drug Delivery (2 papers), Smart Materials for Construction (2 papers) and Geology and Paleoclimatology Research (2 papers). The work is most often cited by research in Biomaterials (112 citations), Surfaces, Coatings and Films (55 citations), Molecular Medicine (32 citations), Geophysics (90 citations) and Safety, Risk, Reliability and Quality (61 citations). Junyu Yu has collaborated with scholars based in China, France and Portugal. Frequent co-authors include Xiaowen Liu, Feng Zhang, Guangbao Yang, Jie Su, Yuhan Guo, Jin Liang, Weifang Yang, Chunhui Tao, Shili Liao and Chuanwei Zhu. Their work appears in journals such as Ore Geology Reviews, Computers & Industrial Engineering, Chaos Solitons & Fractals, Indoor Air and Energy and Buildings.
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.