A*STAR Graduate Academy
Impact in
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- Supercapacitor Materials and Fabrication
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- 2D Materials and Applications
- Luminescence and Fluorescent Materials
- MXene and MAX Phase Materials
Papers in
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- Topic Modeling 44
- Natural Language Processing Techniques 33
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- Multimodal Machine Learning Applications 24
- Top scholars
- Kai shang LiBin LiuXian Jun LohDavid Philip LaneGang ZhangDan KaiYong‐Wei ZhangPei Lin Chee
- Journals
- RSC Advances (29 papers)Nanoscale (19 papers)Journal of Materials Chemistry A (16 papers)Chemical Communications (16 papers)Cell Cycle (13 papers)
- Partner nations
- SingaporeChinaUnited States
In The Last Decade
A*STAR Graduate Academy
541 papers receiving 25.5k citations
Peers
Comparison fields: 5 of 224
- Electronic, Optical and Magnetic Materials 3.0k
- Materials Chemistry 6.7k
- Biomaterials 1.6k
- Polymers and Plastics 1.6k
- Renewable Energy, Sustainability and the Environment 1.8k
Countries citing scholars working at A*STAR Graduate Academy
This map shows the geographic impact of research produced by authors working at A*STAR Graduate Academy. 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 papers produced at A*STAR Graduate Academy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A*STAR Graduate Academy more than expected).
Fields of papers published by authors at A*STAR Graduate Academy
This network shows the impact of papers affiliated with A*STAR Graduate Academy at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with A*STAR Graduate Academy at the time of their publication.
About A*STAR Graduate Academy
In recent decades, authors affiliated with A*STAR Graduate Academy have published 625 papers, which have received a total of 26.8k indexed citations . Scholars at this organization have produced 141 papers in Artificial Intelligence, 77 papers in Computer Vision and Pattern Recognition, 1 paper in Nuclear Energy and Engineering, 97 papers in Materials Chemistry and 98 papers in Electrical and Electronic Engineering on the topics of Topic Modeling (44 papers), Natural Language Processing Techniques (33 papers), 2D Materials and Applications (26 papers), Multimodal Machine Learning Applications (24 papers), Supercapacitor Materials and Fabrication (21 papers), Graphene research and applications (20 papers), Advancements in Battery Materials (19 papers) and Cancer-related Molecular Pathways (19 papers). Their work is cited by papers focused on Electronic, Optical and Magnetic Materials (3.0k citations), Materials Chemistry (6.7k citations), Biomaterials (1.6k citations), Polymers and Plastics (1.6k citations) and Renewable Energy, Sustainability and the Environment (1.8k citations). Authors at A*STAR Graduate Academy collaborate with scholars in Singapore, China and United States and have published in prestigious journals including RSC Advances, Nanoscale, Journal of Materials Chemistry A, Chemical Communications and Cell Cycle. Some of A*STAR Graduate Academy's most productive authors include Kai shang Li, Bin Liu, Xian Jun Loh, David Philip Lane, Gang Zhang, Dan Kai, Yong‐Wei Zhang, Pei Lin Chee, Aled D. Roberts and Haifei Zhang.
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.