Chunsen Liu
- Electrical and Electronic Engineering top 1%
- Materials Chemistry top 2%
- Biomedical Engineering top 10%
- Cellular and Molecular Neuroscience top 5%
- Artificial Intelligence top 5%
- Topics
- Advanced Memory and Neural Computing (31 papers)2D Materials and Applications (30 papers)Graphene research and applications (19 papers)
- Cited by
- Electrical and Electronic EngineeringMaterials ChemistryCellular and Molecular Neuroscience
- Journals
- NatureScienceAdvanced Materials
In The Last Decade
Chunsen Liu
51 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 70
- Electrical and Electronic Engineering 2.6k
- Materials Chemistry 2.0k
- Biomedical Engineering 472
- Cellular and Molecular Neuroscience 433
- Artificial Intelligence 330
Countries citing papers authored by Chunsen Liu
This map shows the geographic impact of Chunsen Liu'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 Chunsen Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chunsen Liu more than expected).
Fields of papers citing papers by Chunsen Liu
This network shows the impact of papers produced by Chunsen Liu. 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 Chunsen Liu. The network helps show where Chunsen Liu may publish in the future.
Co-authorship network of co-authors of Chunsen Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Chunsen Liu. A scholar is included among the top collaborators of Chunsen Liu 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 Chunsen Liu. Chunsen Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 3 | |
| 3 | 23 | |
| 4 | Transistor engineering based on 2D materials in the post-silicon erabreakdown → | 71 |
| 5 | 67 | |
| 6 | 10 | |
| 7 | 53 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 17 | |
| 11 | 63 | |
| 12 | 56 | |
| 13 | 12 | |
| 14 | 47 | |
| 15 | All-in-one two-dimensional retinomorphic hardware device for motion detection and recognitionbreakdown → | 419 |
| 16 | Two-dimensional materials for next-generation computing technologiesbreakdown → | 763 |
| 17 | 26 | |
| 18 | 24 | |
| 19 | 17 | |
| 20 | 1 |
About Chunsen Liu
Chunsen Liu is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Cellular and Molecular Neuroscience, having authored 51 papers that have together received 3.4k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (31 papers), 2D Materials and Applications (30 papers) and Graphene research and applications (19 papers). The work is most often cited by research in Electrical and Electronic Engineering (2.6k citations), Materials Chemistry (2.0k citations) and Cellular and Molecular Neuroscience (433 citations). Chunsen Liu has collaborated with scholars based in China, Singapore and Hong Kong. Frequent co-authors include Peng Zhou, Shuiyuan Wang, Yu–Gang Jiang, Huawei Chen, David Wei Zhang, Shi‐Jin Ding, Weida Hu, Qi Liu, David Wei Zhang and Ming Liu. Their work appears in journals such as Nature, Science and Advanced 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.