Linshan Wu
Impact in
- Surfaces, Coatings and Films top 5%
- Surface Modification and Superhydrophobicity
- Media Technology top 5%
- Remote-Sensing Image Classification
Papers in
-
- Surface Modification and Superhydrophobicity 7
-
- GaN-based semiconductor devices and materials 4
- Co-authors
- Zhiguang Guo (8 shared papers)Leyuan Fang (6 shared papers)Weimin Liu (2 shared papers)He Min (2 shared papers)Peng Liu (3 shared papers)Jiayi Ma (3 shared papers)Jiaxin Zhuang (6 shared papers)Zhun Zhong (3 shared papers)
- Journals
- Nature Communications (3 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (3 papers)Advances in Colloid and Interface Science (2 papers)IEEE Transactions on Geoscience and Remote Sensing (2 papers)New Journal of Chemistry (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Linshan Wu
28 papers receiving 579 citations
Peers
Comparison fields: 5 of 62
- Surfaces, Coatings and Films 116
- Media Technology 116
- Computer Vision and Pattern Recognition 150
- Artificial Intelligence 99
- Renewable Energy, Sustainability and the Environment 45
Countries citing papers authored by Linshan Wu
This map shows the geographic impact of Linshan Wu'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 Linshan Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linshan Wu more than expected).
Fields of papers citing papers by Linshan Wu
This network shows the impact of papers produced by Linshan Wu. 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 Linshan Wu. The network helps show where Linshan Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Linshan Wu, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 76 | |
| 2 | 2023 | 72 | |
| 3 | 2022 | 69 | |
| 4 | 2023 | 55 | |
| 5 | 2024 | 45 | |
| 6 | 2022 | 41 | |
| 7 | 2022 | 40 | |
| 8 | 2023 | 31 | |
| 9 | 2024 | 29 | |
| 10 | 2023 | 19 | |
| 11 | 2017 | 13 | |
| 12 | 2022 | 12 | |
| 13 | 2024 | 11 | |
| 14 | 2025 | 11 | |
| 15 | 2023 | 9 | |
| 16 | 2024 | 9 | |
| 17 | 2023 | 8 | |
| 18 | 2025 | 8 | |
| 19 | 2023 | 7 | |
| 20 | 2025 | 6 |
About Linshan Wu
Linshan Wu is a scholar working on Surfaces, Coatings and Films, Condensed Matter Physics, Computer Vision and Pattern Recognition, Media Technology and Electronic, Optical and Magnetic Materials, having authored 31 papers that have together received 588 indexed citations. Recurring topics across this work include Surface Modification and Superhydrophobicity (7 papers), Advanced Neural Network Applications (6 papers), GaN-based semiconductor devices and materials (4 papers), Silicon Carbide Semiconductor Technologies (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Advanced Sensor and Energy Harvesting Materials (3 papers), Supercapacitor Materials and Fabrication (3 papers) and Remote-Sensing Image Classification (3 papers). The work is most often cited by research in Surfaces, Coatings and Films (116 citations), Media Technology (116 citations), Computer Vision and Pattern Recognition (150 citations), Artificial Intelligence (99 citations) and Renewable Energy, Sustainability and the Environment (45 citations). Linshan Wu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Zhiguang Guo, Leyuan Fang, Weimin Liu, He Min, Peng Liu, Jiayi Ma, Jiaxin Zhuang, Zhun Zhong, Xingxin He and Jun Yue. Their work appears in journals such as Nature Communications, IEEE Transactions on Pattern Analysis and Machine Intelligence, Advances in Colloid and Interface Science, IEEE Transactions on Geoscience and Remote Sensing and New Journal of Chemistry.
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.