Jun Wu
Impact in
- Surfaces, Coatings and Films top 2%
- Surface Modification and Superhydrophobicity
- Polymers and Plastics top 5%
- Conducting polymers and applications
Papers in
-
- Perovskite Materials and Applications 33
-
- Advanced Sensor and Energy Harvesting Materials 30
- Co-authors
- Wei Lei (50 shared papers)Jun Xia (46 shared papers)Shengshun Duan (19 shared papers)Baoping Wang (19 shared papers)Qiongfeng Shi (17 shared papers)Di Zhu (7 shared papers)Yucheng Lin (6 shared papers)Jing Chen (22 shared papers)
- Journals
- Journal of Vision (5 papers)Nano Energy (5 papers)Chemical Engineering Journal (5 papers)Optics Express (4 papers)Organic Electronics (3 papers)
- Partner nations
- ChinaUnited StatesBangladesh
In The Last Decade
Jun Wu
145 papers receiving 2.4k citations
Jun Wu's Hit Papers
Peers
Comparison fields: 5 of 134
- Surfaces, Coatings and Films 226
- Polymers and Plastics 287
- Human-Computer Interaction 118
- Biomedical Engineering 799
- Cognitive Neuroscience 315
Countries citing papers authored by Jun Wu
This map shows the geographic impact of Jun 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 Jun Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Wu more than expected).
Fields of papers citing papers by Jun Wu
This network shows the impact of papers produced by Jun 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 Jun Wu. The network helps show where Jun Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun 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 159 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Water-Modulated Biomimetic Hyper-Attribute-Gel Electronic Skin for Robotics and Skin-Attachable Wearables Hit paper breakdown → | 2023 | 130 |
| 2 | 2004 | 84 | |
| 3 | 2020 | 79 | |
| 4 | 2020 | 69 | |
| 5 | 2010 | 65 | |
| 6 | 2011 | 62 | |
| 7 | 2021 | 62 | |
| 8 | 2019 | 56 | |
| 9 | 2024 | 55 | |
| 10 | 2017 | 55 | |
| 11 | 2010 | 54 | |
| 12 | 2018 | 52 | |
| 13 | 2021 | 52 | |
| 14 | 2022 | 50 | |
| 15 | 2021 | 43 | |
| 16 | 2021 | 41 | |
| 17 | 2010 | 41 | |
| 18 | 2018 | 37 | |
| 19 | 2021 | 36 | |
| 20 | 2010 | 35 |
About Jun Wu
Jun Wu is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Materials Chemistry, Cognitive Neuroscience and Polymers and Plastics, having authored 159 papers that have together received 2.4k indexed citations. Recurring topics across this work include Perovskite Materials and Applications (33 papers), Advanced Sensor and Energy Harvesting Materials (30 papers), Quantum Dots Synthesis And Properties (19 papers), Conducting polymers and applications (19 papers), Surface Modification and Superhydrophobicity (17 papers), Tactile and Sensory Interactions (14 papers), Visual perception and processing mechanisms (10 papers) and Solid-state spectroscopy and crystallography (8 papers). The work is most often cited by research in Surfaces, Coatings and Films (226 citations), Polymers and Plastics (287 citations), Human-Computer Interaction (118 citations), Biomedical Engineering (799 citations) and Cognitive Neuroscience (315 citations). Jun Wu has collaborated with scholars based in China, United States and Bangladesh. Frequent co-authors include Wei Lei, Jun Xia, Shengshun Duan, Baoping Wang, Qiongfeng Shi, Di Zhu, Yucheng Lin, Jing Chen, Yinghui Li and Teng Leng Ooi. Their work appears in journals such as Journal of Vision, Nano Energy, Chemical Engineering Journal, Optics Express and Organic Electronics.
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.