Gang Ge
- Biomedical Engineering top 0.5%
- Polymers and Plastics top 0.5%
- Materials Chemistry top 5%
- Electrical and Electronic Engineering top 5%
- Cognitive Neuroscience top 5%
- Co-authors
- Wei HuangYizhou ZhangXiaochen DongJinjun ShaoYichen CaiHusam N. AlshareefJehad K. El‐DemellawiQian Wang
- Topics
- Advanced Sensor and Energy Harvesting Materials (13 papers)Conducting polymers and applications (8 papers)Tactile and Sensory Interactions (7 papers)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Gang Ge
21 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Biomedical Engineering 3.0k
- Polymers and Plastics 1.5k
- Materials Chemistry 1.1k
- Electrical and Electronic Engineering 944
- Cognitive Neuroscience 547
Countries citing papers authored by Gang Ge
This map shows the geographic impact of Gang Ge'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 Gang Ge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gang Ge more than expected).
Fields of papers citing papers by Gang Ge
This network shows the impact of papers produced by Gang Ge. 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 Gang Ge. The network helps show where Gang Ge may publish in the future.
Co-authorship network of co-authors of Gang Ge
This figure shows the co-authorship network connecting the top 25 collaborators of Gang Ge. A scholar is included among the top collaborators of Gang Ge based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gang Ge. Gang Ge is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 19 | |
| 3 | 21 | |
| 4 | 10 | |
| 5 | 8 | |
| 6 | 7 | |
| 7 | 40 | |
| 8 | Deep Eutectic Solvents‐Based Ionogels with Ultrafast Gelation and High Adhesion in Harsh Environmentsbreakdown → | 123 |
| 9 | 20 | |
| 10 | 7 | |
| 11 | 36 | |
| 12 | 118 | |
| 13 | Ti3C2Tx MXene-Activated Fast Gelation of Stretchable and Self-Healing Hydrogels: A Molecular Approachbreakdown → | 246 |
| 14 | MXene hydrogels: fundamentals and applicationsbreakdown → | 587 |
| 15 | 214 | |
| 16 | Muscle-Inspired Self-Healing Hydrogels for Strain and Temperature Sensorbreakdown → | 626 |
| 17 | 107 | |
| 18 | 294 | |
| 19 | 11 | |
| 20 | Stretchable Ti3C2Tx MXene/Carbon Nanotube Composite Based Strain Sensor with Ultrahigh Sensitivity and Tunable Sensing Rangebreakdown → | 775 |
About Gang Ge
Gang Ge is a scholar working on Polymers and Plastics, Biomedical Engineering and Cognitive Neuroscience, having authored 21 papers that have together received 3.8k indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (13 papers), Conducting polymers and applications (8 papers) and Tactile and Sensory Interactions (7 papers). The work is most often cited by research in Polymers and Plastics (1.5k citations), Biomedical Engineering (3.0k citations) and Molecular Medicine (221 citations). Gang Ge has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Wei Huang, Yizhou Zhang, Xiaochen Dong, Jinjun Shao, Yichen Cai, Husam N. Alshareef, Xiaochen Dong, Jehad K. El‐Demellawi, Xiaochen Dong and Qian Wang. Their work appears in journals such as Chemical Society Reviews, Nano Letters and ACS Nano.
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.