Gang Ge

4.3k total citations · 6 hit papers
21 papers, 3.8k citations indexed

About

Gang Ge is a scholar working on Biomedical Engineering, Polymers and Plastics and Cognitive Neuroscience. According to data from OpenAlex, Gang Ge has authored 21 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Biomedical Engineering, 9 papers in Polymers and Plastics and 7 papers in Cognitive Neuroscience. Recurrent topics in Gang Ge's work include Advanced Sensor and Energy Harvesting Materials (13 papers), Conducting polymers and applications (8 papers) and Tactile and Sensory Interactions (7 papers). Gang Ge is often cited by papers focused on Advanced Sensor and Energy Harvesting Materials (13 papers), Conducting polymers and applications (8 papers) and Tactile and Sensory Interactions (7 papers). Gang Ge collaborates with scholars based in China, Singapore and United States. Gang Ge's 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 and has published in prestigious journals such as Chemical Society Reviews, Nano Letters and ACS Nano.

In The Last Decade

Gang Ge

21 papers receiving 3.8k citations

Hit Papers

Stretchable Ti3C2Tx MXene/Carbon Nanotube Composite Based... 2017 2026 2020 2023 2017 2019 2020 2018 2021 250 500 750

Peers

Gang Ge
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
Replace Yin Cheng with:
Yin Cheng China
Guofa Cai Singapore
Dan Yang China
Vivian R. Feig United States
Xuewu Huang China
Mufang Li China
Mingchao Zhang China
Aijie Ma China
Yin Cheng China View profile →
Citations per field, relative to Gang Ge
Gang Ge · 1×
Citations per year, relative to Gang Ge
Gang Ge · 1×

Countries citing papers authored by Gang Ge

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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 Environments breakdown →
123
9 20
10 7
11 36
12 118
13
Ti3C2Tx MXene-Activated Fast Gelation of Stretchable and Self-Healing Hydrogels: A Molecular Approach breakdown →
246
14
MXene hydrogels: fundamentals and applications breakdown →
587
15 214
16
Muscle-Inspired Self-Healing Hydrogels for Strain and Temperature Sensor breakdown →
626
17 107
18 294
19 11
20
Stretchable Ti3C2Tx MXene/Carbon Nanotube Composite Based Strain Sensor with Ultrahigh Sensitivity and Tunable Sensing Range breakdown →
775

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.

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