Zhen Song
Impact in
- Human-Computer Interaction top 5%
- Interactive and Immersive Displays
- Cognitive Neuroscience top 10%
- Tactile and Sensory Interactions
Papers in
-
- Electrospun Nanofibers in Biomedical Applications 3
-
- Advanced Sensor and Energy Harvesting Materials 3
- Co-authors
- Zhaoqian Xie (6 shared papers)Kuanming Yao (3 shared papers)Xinge Yu (3 shared papers)Jingkun Zhou (3 shared papers)Yiming Liu (3 shared papers)Mengge Wu (2 shared papers)Dengfeng Li (2 shared papers)Jiahui He (2 shared papers)
- Journals
- Advanced Science (2 papers)Microsystems & Nanoengineering (1 paper)AIP Advances (1 paper)Science Advances (1 paper)Advanced Functional Materials (1 paper)
- Partner nations
- ChinaHong KongSouth Korea
In The Last Decade
Zhen Song
7 papers receiving 387 citations
Zhen Song's Hit Papers
Peers
Comparison fields: 5 of 60
- Human-Computer Interaction 55
- Cognitive Neuroscience 159
- Biomedical Engineering 318
- Polymers and Plastics 91
- Cellular and Molecular Neuroscience 50
Countries citing papers authored by Zhen Song
This map shows the geographic impact of Zhen Song'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 Zhen Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhen Song more than expected).
Fields of papers citing papers by Zhen Song
This network shows the impact of papers produced by Zhen Song. 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 Zhen Song. The network helps show where Zhen Song may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhen Song, 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 | Electronic skin as wireless human-machine interfaces for robotic VR Hit paper breakdown → | 2022 | 233 |
| 2 | 2021 | 50 | |
| 3 | 2021 | 41 | |
| 4 | 2023 | 35 | |
| 5 | 2021 | 30 | |
| 6 | 2023 | 2 | |
| 7 | 2024 | 1 |
About Zhen Song
Zhen Song is a scholar working on Biomaterials, Biomedical Engineering, Surgery, Cognitive Neuroscience and Human-Computer Interaction, having authored 7 papers that have together received 392 indexed citations. Recurring topics across this work include Electrospun Nanofibers in Biomedical Applications (3 papers), Advanced Sensor and Energy Harvesting Materials (3 papers), Tactile and Sensory Interactions (2 papers), Tissue Engineering and Regenerative Medicine (2 papers), Neuroscience and Neural Engineering (1 paper), Quantum optics and atomic interactions (1 paper), Interactive and Immersive Displays (1 paper) and Nerve injury and regeneration (1 paper). The work is most often cited by research in Human-Computer Interaction (55 citations), Cognitive Neuroscience (159 citations), Biomedical Engineering (318 citations), Polymers and Plastics (91 citations) and Cellular and Molecular Neuroscience (50 citations). Zhen Song has collaborated with scholars based in China, Hong Kong and South Korea. Frequent co-authors include Zhaoqian Xie, Kuanming Yao, Xinge Yu, Jingkun Zhou, Yiming Liu, Mengge Wu, Dengfeng Li, Jiahui He, Ling Zhao and Chun Ki Yiu. Their work appears in journals such as Advanced Science, Microsystems & Nanoengineering, AIP Advances, Science Advances and Advanced Functional Materials.
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.