Liwei Cao
- Materials Chemistry
- Biomedical Engineering
- Electrical and Electronic Engineering
- Organic Chemistry
- Mechanical Engineering
- Co-authors
- Alexei A. LapkinChuan ZhangAlessandro RomagnoliDanilo RussoArtur M. SchweidtmannJethro AkroydSebastian MosbachMarkus Kraft
- Topics
- Machine Learning in Materials Science (4 papers)Innovative Microfluidic and Catalytic Techniques Innovation (3 papers)Electrocatalysts for Energy Conversion (3 papers)
- Journals
- Angewandte Chemie International EditionSHILAP Revista de lepidopterologíaNano Letters
- Partner nations
- United KingdomSingaporeUnited States
In The Last Decade
Liwei Cao
24 papers receiving 570 citations
Peers
Comparison fields: 5 of 97
- Materials Chemistry 178
- Biomedical Engineering 143
- Electrical and Electronic Engineering 93
- Organic Chemistry 75
- Mechanical Engineering 65
Countries citing papers authored by Liwei Cao
This map shows the geographic impact of Liwei Cao'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 Liwei Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liwei Cao more than expected).
Fields of papers citing papers by Liwei Cao
This network shows the impact of papers produced by Liwei Cao. 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 Liwei Cao. The network helps show where Liwei Cao may publish in the future.
Co-authorship network of co-authors of Liwei Cao
This figure shows the co-authorship network connecting the top 25 collaborators of Liwei Cao. A scholar is included among the top collaborators of Liwei Cao 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 Liwei Cao. Liwei Cao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 32 | |
| 5 | 20 | |
| 6 | 67 | |
| 7 | 15 | |
| 8 | 7 | |
| 9 | 15 | |
| 10 | 45 | |
| 11 | 2 | |
| 12 | 95 | |
| 13 | 50 | |
| 14 | 99 | |
| 15 | 17 | |
| 16 | 11 | |
| 17 | 8 | |
| 18 | 7 | |
| 19 | 9 | |
| 20 | 2 |
About Liwei Cao
Liwei Cao is a scholar working on Process Chemistry and Technology, Renewable Energy, Sustainability and the Environment and Organic Chemistry, having authored 25 papers that have together received 587 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (4 papers), Innovative Microfluidic and Catalytic Techniques Innovation (3 papers) and Electrocatalysts for Energy Conversion (3 papers). The work is most often cited by research in Catalysis (34 citations), Information Systems and Management (32 citations) and Building and Construction (62 citations). Liwei Cao has collaborated with scholars based in United Kingdom, Singapore and United States. Frequent co-authors include Alexei A. Lapkin, Chuan Zhang, Alessandro Romagnoli, Danilo Russo, Artur M. Schweidtmann, Jethro Akroyd, Sebastian Mosbach, Markus Kraft, Jiaru Bai and Vassilios S. Vassiliadis. Their work appears in journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and Nano Letters.
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.