Yu Gai
Impact in
- Surfaces, Coatings and Films top 10%
- Surface Modification and Superhydrophobicity
Papers in
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- Surface Modification and Superhydrophobicity 4
-
- Metal-Organic Frameworks: Synthesis and Applications 4
Yu Gai
16 papers receiving 414 citations
Peers
Comparison fields: 5 of 82
- Surfaces, Coatings and Films 82
- Computational Mathematics 4
- Artificial Intelligence 183
- Computer Vision and Pattern Recognition 89
- Hardware and Architecture 21
Countries citing papers authored by Yu Gai
This map shows the geographic impact of Yu Gai'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 Yu Gai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Gai more than expected).
Fields of papers citing papers by Yu Gai
This network shows the impact of papers produced by Yu Gai. 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 Yu Gai. The network helps show where Yu Gai may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu Gai, 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 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 11 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 17 | |
| 9 | 2023 | 27 | |
| 10 | 2022 | 1 | |
| 11 | 2022 | 37 | |
| 12 | 2021 | 3 | |
| 13 | 2020 | 40 | |
| 14 | Deep Graph Library: Towards Efficient and Scalable Deep Learning on Graphs | 2019 | 260 |
| 15 | Loss Functions for Multiset Prediction | 2018 | 5 |
| 16 | 2018 | 2 | |
| 17 | 2016 | 11 | |
| 18 | 2013 | 3 | |
| 19 | 2012 | 2 |
About Yu Gai
Yu Gai is a scholar working on Surfaces, Coatings and Films, Inorganic Chemistry, Aerospace Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 19 papers that have together received 423 indexed citations. Recurring topics across this work include Icing and De-icing Technologies (4 papers), Surface Modification and Superhydrophobicity (4 papers), Metal-Organic Frameworks: Synthesis and Applications (4 papers), Catalytic Processes in Materials Science (3 papers), Catalysis and Hydrodesulfurization Studies (2 papers), Adhesion, Friction, and Surface Interactions (2 papers), Horticultural and Viticultural Research (1 paper) and TGF-β signaling in diseases (1 paper). The work is most often cited by research in Surfaces, Coatings and Films (82 citations), Computational Mathematics (4 citations), Artificial Intelligence (183 citations), Computer Vision and Pattern Recognition (89 citations) and Hardware and Architecture (21 citations). Yu Gai has collaborated with scholars based in China, Belgium and United States. Frequent co-authors include Zihao Ye, Mufei Li, Zheng Zhang, Junbo Zhao, Chao Ma, Alexander J. Smola, Lingfan Yu, Da Zheng, Jinyang Li and Jinjing Zhou. Their work appears in journals such as ACS Applied Materials & Interfaces, Journal of Membrane Science, Journal of Hydrology Regional Studies, Advanced Science and Plant Science.
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.